WEBVTT

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I ask unanimous consent that the chair

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be authorized to declare a recess at

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any time without objection so ordered

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and I ask unanimous consent that

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members may have five legislative days

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to revise and extend the remarks

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without objection so ordered . I want

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to welcome everyone to this hearing of

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the military personnel subcommittee's

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to address a matter of paramount

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importance how the Department of

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Defense Monitoring of COVID-19 has

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impacted our military ranks and the

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implications of the COVID-19 vaccine on

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the health and well being of our

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servicemen and women . Over the past

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four years , the COVID-19 pandemic has

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presented unprecedented challenges to

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our nation and its armed forces . As

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the virus has become just another part

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of the yearly flu season , we need to

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look with clear eyes and healthy

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skepticism at how the department

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handled the pandemic , the effects of

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the virus and vaccines on our service

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members health . And if the

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department's policies and practices

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actually mitigated any risk to service

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members and their families . Many

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service members and their families are

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concerned with the safety and value of

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the COVID-19 MRN A vaccine . Prompting

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questions about adverse reactions and

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unforeseen circumstances most

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concerningly related to heart

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conditions and hypertension in a young

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military population . And the data is

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worrying . In 2022 we saw heart

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rated conditions like hypertension and

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cardio . My myopathy

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among service members increased by 47%

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and 94% respectively . Over dod

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averages in addressing this pandemic .

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There is no doubt that the department

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has made mistakes and that some

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decisions were made for political gain

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rather than based on science . In fact .

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So today we seek clarity for the

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service members who took the COVID-19

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vaccine for their families and for

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everyone's future health and well being .

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We seek to understand the extent to

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which the Department of Defense has

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monitored the impact of COVID-19 on our

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military personnel including any

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potential correlation between the virus

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itself and the development of medical

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conditions . Moreover , we aim to

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examine the data surrounding the

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administration of the COVID-19 vaccine

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within our ranks , evaluating its

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safety profile and any observed trends

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in adverse reactions and health

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outcomes as stewards of our nation's

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defense . It is incumbent upon us to

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ensure the well being of those who wear

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the uniform . We owe it to our service

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members to provide them with the best

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possible care and support especially in

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times of crisis . By convening this

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hearing , we demonstrate our commitment

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to transparency , accountability and

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above all the health and safety of our

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military community . I would like to

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welcome our witnesses , Doctor Lester

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Martinez Lopez , the assistant

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Secretary of Defense for Health Affairs

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at the Department of Defense and Dr

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Shana Stallman , senior

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epidemiologist of the Armed Forces

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Health Surveillance Division at the

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Defense Health Agency pub Public Health .

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Thank you for being here today . I hope

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this hearing provides us an opportunity

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for our members to have a productive

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exchange be before hearing from our

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witnesses . Let me offer ranking member

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Tutta an opportunity to make any

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opening remarks . Thank you , Mr Chair .

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Thank you to our witnesses for being

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here today and providing testimony

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regarding the Department of Defense's

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Health Surveillance efforts which

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includes monitoring health threats and

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emerging infections , bio surveillance

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and epidemiological analysis to include

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the impacts of infections and vaccines .

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As a member of the House select

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sub-committee on the Coronavirus , I am

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not unfamiliar with efforts to

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politicize science behind vaccines to

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the detriment of public health and

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national security . I cannot emphasize

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enough the importance of using a fact

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driven science based approach to this

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conversation today . Let's focus on the

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facts , safe and effective COVID-19

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vaccine options have been readily

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available since 2021 . According to the

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CDC . In the 1st 10 months that

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COVID-19 vaccines were available , they

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saved over 200,000 lives and prevented

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over 1.5 million hospitalizations in

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the United States . This is the purpose

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of these vaccines to save lives and

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prevent severe illness . While the

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military COVID-19 vaccine requirement

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was rescinded . In January 2023 96% of

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the active and reserve force over 1.9

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million people safely received one or

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more doses of a COVID-19 vaccine .

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Vaccine requirements have long standing

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precedent in our armed forces since the

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founding of the US , military vaccine

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requirements have been necessary to

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preserve military readiness and

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personnel safety . From Ge General

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George Washington's smallpox

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vaccination of the Continental Army in

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1777 to the flu vaccine requirement .

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In the mid 20th century . Today , the

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department administers as many as 17

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different vaccinations . And while it

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was in effect , the COVID-19

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vaccination requirement helped ensure

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that our armed forces remain healthy

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and medically ready . Service members

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that have received COVID-19 vaccines

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have done so . Under the most intense

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safety monitoring program in United

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States history , the CDC , the FDA and

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other federal partners use multiple

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passive and active surveillance systems

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and data sources to conduct

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comprehensive safety monitoring of

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COVID-19 vaccines . And the Department

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of Defense conducts near real time

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monitoring and research on the impacts

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of COVID-19 vaccinations and infections

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through the military health system

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studies continue to show that the

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benefits of COVID-19 vaccines outweigh

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the risk yet concern and apprehension

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regarding the safety of COVID-19

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vaccinations do still exist . This may

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be due in large part to a fundamental

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misunderstanding of the department's

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COVID-19 vaccine surveillance data ,

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which has unfortunately been the

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subject of misleading news stories .

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Over the past year . The Department of

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Defense's monitoring efforts of

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COVID-19 have reported a small number

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of increases in adverse health effects

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following the COVID-19 vaccine

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requirement . But correlation does not

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imply causation . Legitimate questions

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remain as to the root cause of these

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identified adverse health effects . The

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overarching question for today's panel

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is one of paramount importance . Are

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there long term effects from COVID-19

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on our service members ? And if so ,

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how do we discern whether any increase

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in reported adverse health effects are

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attributable to the virus itself or to

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the vaccine ? To address this question

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comprehensively , we must approach

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today's discussion with scientific

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rigor ensuring that we prioritize the

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health and safety of our all volunteer

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force as a whole above all else . As we

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navigate the complexities of this issue ,

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we must acknowledge the profound impact

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that the COVID-19 pandemic has had on

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the operational readiness of our armed

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forces . First and foremost , the

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pandemic resulted in thousands of

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hospitalizations across the department

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and the tragic loss of hundreds of

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lives . It also had far-reaching second

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and third order effects on our military

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including disruptions in training

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exercises and deployments , the

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mobilization of military medical

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personnel to support civilian pandemic

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response efforts and negative impacts

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to military family quality of life

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issues like delays and move child care

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and health care access . At the heart

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of today's discussion regarding the

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department's monitoring of COVID-19

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lies a fundamental commitment to the

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health and well being of our service

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members that must ultimately include a

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shared dedication to transparency and

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facts grounded in scientific evidence

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Mr Chairman , I'd like to request that

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the Department of Defense's report on

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cardiac and kidney issues and service

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members prior to and following the

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COVID vaccine requirement be included

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in the record for today's hearing .

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Thank you , Mr Chair Congress required

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this report in fiscal year 23 NDA A and

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it serves as an example of the careful

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and thoughtful monitoring the

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department is doing . Thank you again ,

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Mr Chair for this hearing And I look

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forward to our witness testimony and

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their responses to questions that will

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be posed today . I yield the balance of

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my time . Thank you . I understand that

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uh you have one consolidated opening

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statement . We respectfully request

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that you summarize your testimony in

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five minutes or less . Your written

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comments and statements were made part

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of the will be made part of the hearing

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record following opening statements .

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Each member will have an opportunity to

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question the witnesses for a very

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liberal five minutes . Um With that Dr

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Martinez Lopez , you may make your

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opening statement , German Banks ,

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ranking me , Takura , distinguished

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members of the subcomittee . We are

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pleased to represent the office of the

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Secretary of Defense to discuss the

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department's ongoing health

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surveillance of the force related to

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COVID-19 in the aftermath of the global

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pandemic . This testimony provides the

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committee with information on some key ,

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some of the key data used to track the

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health of service members and provides

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updates on some past and future studies

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related to the impact of COVID-19 on

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the health of the service members .

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Service members like all members of our

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nation experience the effects of the

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global COVID-19 pandemic . However ,

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unlike the civilian population , when

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service members , particularly those

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deployed or an operational units became

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sick with COVID-19 , it impacts

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national security . This is an

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unacceptable risk for the military and

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our nation as part of force health

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protection . The Department of Defense

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took actions to blunt the impact of the

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pandemic on the force and to maintain

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operational readiness . This was

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achieved primarily through force health

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protection measures like vaccinations ,

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testing , masking symptom , symptom ,

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monitoring and remote work work . These

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actions saved lives and resulted in

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less severe disease and fewer fewer

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hospitalization among those service

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members that were infected .

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Nevertheless , the impact of COVID-19

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lingers with some semi ser service

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members and veterans like just like

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many other Americans are experiencing

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the long term effect of COVID-19

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infections including long COVID and

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heart related conditions . As we seek

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to keep the total force healthy and on

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mission , the department monitors for

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infectious diseases and a range of

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other health threats . We do this

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through a dedicated staff with public

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health commands co located with

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military units around the world . In

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addition , we have a team of analysts

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evaluating the data for trends and

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investigating any signal that are

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identified . One of the primary tools

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this health threats analysts used to

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answer complex epidemiological

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questions is a relational database

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called the defense medical surveillance

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system or the MS S as the central

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repository of medical surveillance data

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for the US armed forces . The MS S

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contain up to date and historical data

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on diseases and medical events

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including in patient and ambulatory

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medical encounters , immunizations ,

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prescriptions , laboratory data , and

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deployment health assessment and

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casualty data . To enhance our ability

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to identify signals in the noise of

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infectious disease data . We have

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related capability to AD MS S called

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the defense Medical Epidemiology da

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Database or a de

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using its proper context is a useful

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tool tool for dod medical and public

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health professionals to monitor health

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trends among their local populations

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and identify potential issues that

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require further inquiry or research .

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The dod the data is compelling in

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looking at the impact of vaccine . The

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department's data show that on

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vaccinated individuals with a reported

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COVID-19 infection were at si

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significantly higher risk of developing

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three cardiac conditions , myocarditis ,

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pericarditis and acute myocardial

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infarction compared to individuals who

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receive a COVID vaccine . Further , the

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dod data show that among the 31 active

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duty service members who died from

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COVID-19 , none of them were fully

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vaccinated . Now today , four years

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after the emergence of SARS COVID two

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virus , it continues to circulate in

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our military communities and evolve

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into new variants presenting an ongoing

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health threat capable of harming ,

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harming service members and affecting

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operations . The department remains

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committed to protecting the health of

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the force and to better understand

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these impacts as we prepare for future

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health threats . Our ongoing studies

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will support the development of

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therapeutics and medical

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countermeasures . We will also continue

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to evaluate the relationship between

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COVID-19 infection or COVID-19

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vaccinations and cardiac conditions

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through surveillance and research . Our

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ongoing data surveillance will help

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inform future dod policy on for health

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protection , improve readiness and help

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prepare for and mitigate against future

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health threats . Thank you for inviting

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us here today to speak with you about

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the department's sales data which

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enables our ongoing surveillance of the

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impact of the COVID-19 and the force

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and the health of the force . We look

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forward to answering your questions .

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Thank you for your opening statement .

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I'll begin with questions and yield

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myself five minutes . Uh Doctor

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Martinez Lopez , I I find it convenient

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that in the report to Congress you

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cited in your testimony and the , the

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same report that the minority just

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entered into the record that the

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researchers chose to use 45 days as the

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at risk period following a COVID-19

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infection , but only 21 days for the at

14:51.270 --> 14:54.049
risk period following the COVID-19

14:54.059 --> 14:55.948
vaccination , especially when the

14:56.250 --> 14:58.194
administration and the , the Biden

14:58.194 --> 15:00.306
administration CDC told everyone that

15:00.306 --> 15:01.972
you weren't considered immune

15:01.972 --> 15:05.169
immediately after the shot . Seems to

15:05.179 --> 15:08.299
me like you were skewing the data to

15:08.309 --> 15:10.198
make it fit what you wanted , the

15:10.198 --> 15:12.309
conclusion to be by doing that and to

15:12.309 --> 15:14.570
justify your use of the vaccine . You

15:14.580 --> 15:16.802
also admitted that the sample sizes are

15:16.802 --> 15:19.789
inaccurate due to under reporting . So

15:19.799 --> 15:23.140
ho how are we to trust the department

15:23.150 --> 15:25.372
and the Biden administration for that ?

15:25.372 --> 15:27.372
That y'all are being honest when it

15:27.372 --> 15:29.539
reaches a conclusion , all that all of

15:29.539 --> 15:31.706
these medical problems were due to the

15:31.706 --> 15:33.690
infection and not the vaccine . Mr

15:33.700 --> 15:36.549
Chairman uh as a retired soldier

15:37.640 --> 15:39.751
and are now giving the opportunity to

15:39.751 --> 15:42.989
serve the safety and the health and the

15:43.000 --> 15:45.167
readiness of the force and the service

15:45.167 --> 15:47.278
members is the most important to me .

15:47.460 --> 15:51.359
Uh That the data is

15:51.369 --> 15:54.590
very clear , you know that you have

15:54.599 --> 15:56.820
higher risk of developing these

15:56.830 --> 15:59.260
conditions . If you got just got the

15:59.270 --> 16:01.340
disease without the vaccine , the

16:01.349 --> 16:03.571
vaccine doesn't exempt you from getting

16:03.571 --> 16:06.059
some of these uh comp complications ,

16:06.469 --> 16:09.820
but it really does decrease the risk to

16:09.830 --> 16:12.840
the service members . Uh I would defer

16:12.849 --> 16:15.830
to talk to Stallman on the 45 versus

16:15.840 --> 16:19.000
the the timeline differential .

16:21.869 --> 16:24.809
Sure . Thank you as an epidemiologist

16:24.820 --> 16:27.109
with the DH A I am concerned as well

16:27.119 --> 16:29.119
with the health and wellness of our

16:29.119 --> 16:31.286
service members and we take reports of

16:31.286 --> 16:33.508
any increase in medical conditions that

16:33.508 --> 16:33.400
are potentially due to the vaccine or

16:33.409 --> 16:36.460
to the virus . Seriously . In that

16:36.469 --> 16:38.419
report , we worked with uh

16:38.429 --> 16:41.380
cardiologists specialists within DH A

16:41.390 --> 16:43.446
to determine the best risk window to

16:43.446 --> 16:45.668
use when looking at an adverse event in

16:45.668 --> 16:48.099
relation to the vaccine or to the virus .

16:49.340 --> 16:51.507
If you're looking at an event due to a

16:51.507 --> 16:53.820
vaccine , say five years later , it

16:53.830 --> 16:56.469
becomes less likely that that event is

16:56.479 --> 16:58.646
actually due to the vaccine because if

16:58.646 --> 17:00.646
you accumulated much more exposures

17:00.646 --> 17:02.368
over time . So in talking with

17:02.368 --> 17:06.030
cardiologists and SMES and in the work

17:06.040 --> 17:07.984
that the immunizations health care

17:07.984 --> 17:09.762
division has done in clinically

17:09.762 --> 17:11.429
following the myocarditis and

17:11.429 --> 17:14.349
pericarditis cases within dod . We knew

17:14.359 --> 17:16.760
that most myocarditis and pericarditis

17:16.770 --> 17:18.937
cases when they occurred due to result

17:18.937 --> 17:21.609
of vaccine will occur within 21 days

17:21.619 --> 17:23.780
after the vaccine . We also know in

17:23.790 --> 17:25.679
working with cardiologist experts

17:25.679 --> 17:28.469
within dod that if you're going to have

17:28.479 --> 17:30.368
myocarditis or pericarditis event

17:30.368 --> 17:32.520
following COVID-19 infection , it's

17:32.530 --> 17:34.641
most likely to show up within that 45

17:34.641 --> 17:36.760
day period . So we chose that period

17:36.770 --> 17:40.199
because we're using administrative data .

17:40.660 --> 17:44.079
We were not able to go in to confirm

17:44.089 --> 17:47.430
um that the event was clinically ruled

17:47.439 --> 17:49.550
out due to some other conditions . So

17:49.550 --> 17:51.772
using administrative data , you have to

17:51.772 --> 17:53.883
use a risk window period so that it's

17:53.883 --> 17:55.772
likely you're looking at an event

17:55.772 --> 17:57.995
that's due to your exposure . Ok . So o

17:57.995 --> 18:01.239
on that point , um either one of you

18:01.680 --> 18:03.624
can , can you tell me how many new

18:03.624 --> 18:05.736
cases of myocarditis there were among

18:05.736 --> 18:07.791
among active duty service members in

18:07.791 --> 18:08.560
2020 ?

18:14.069 --> 18:16.849
Thank you . Um There are around

18:17.780 --> 18:21.030
100 to 200 cases of new myocarditis

18:21.040 --> 18:23.207
among active component service members

18:23.207 --> 18:26.380
each year . What about 2020 ? Obviously ,

18:26.390 --> 18:29.180
you track this . We do , but I do not

18:29.189 --> 18:31.411
have that exact number in front of me .

18:31.411 --> 18:33.969
OK . So according to dod data obtained

18:33.979 --> 18:36.589
by Senator Ron Johnson , there were

18:37.229 --> 18:41.089
275 new myocarditis cases

18:41.099 --> 18:44.609
among active service members in 2021

18:46.020 --> 18:47.020
which is a AAA

18:47.020 --> 18:50.959
151% more

18:50.969 --> 18:53.760
than average over the five years prior .

18:54.819 --> 18:56.986
Um , and the reason I bring that up is

18:56.986 --> 18:59.152
because I , I asked your office before

18:59.152 --> 19:01.263
this hearing to give me that specific

19:01.263 --> 19:03.375
number and you gave me the 20 instead

19:03.375 --> 19:05.375
of giving me the 2020 numbers , you

19:05.375 --> 19:07.652
gave me the 2021 number . So it's very ,

19:07.652 --> 19:09.763
it's very suspicious why you wouldn't

19:09.763 --> 19:11.763
have that data available . When you

19:11.763 --> 19:13.986
have the exact , you had a , you had an

19:13.986 --> 19:15.708
exact answer for me for 2021 .

19:19.369 --> 19:21.550
Thank you . We do have the number . I

19:21.560 --> 19:23.890
do not have it in front of me . It

19:23.900 --> 19:26.459
takes our analysts time to write

19:27.099 --> 19:29.890
programming code to pull the data . It

19:29.900 --> 19:31.567
then has to be reviewed by an

19:31.567 --> 19:34.140
epidemiologist to ensure that the code

19:34.150 --> 19:35.983
is accurate , that the output is

19:35.983 --> 19:37.928
accurate and we will get you those

19:37.928 --> 19:40.094
numbers . Can you at least remember if

19:40.094 --> 19:42.206
there were fewer cases of myocarditis

19:42.206 --> 19:44.428
in 2020 than what they were in 2021 ? I

19:44.428 --> 19:47.270
mean , I believe they were higher in

19:47.280 --> 19:50.959
2021 than in 2022 . As the report .

19:51.829 --> 19:53.940
The duty report on cardiac and kidney

19:53.940 --> 19:56.640
issues shows there was more than a 10

19:56.650 --> 19:59.449
times increased rate in myocarditis

19:59.459 --> 20:01.626
among active component service members

20:01.626 --> 20:03.626
who had a recent COVID-19 infection

20:04.180 --> 20:06.930
compared to a 2.6 increase rate among a

20:06.979 --> 20:08.868
component service members who had

20:08.868 --> 20:11.146
recently received the COVID-19 vaccine .

20:11.439 --> 20:13.900
Um I'm going to yield five minutes to

20:14.069 --> 20:14.900
Mt Kuda .

20:17.880 --> 20:20.079
Thank you , Mr Chair . Just some um

20:20.089 --> 20:22.500
basic questions perhaps so that we get

20:22.510 --> 20:24.630
a better understanding of the , the

20:24.640 --> 20:26.696
research and the data that you folks

20:26.696 --> 20:28.473
have been doing . What does dod

20:28.473 --> 20:30.584
currently use the DM SS S the Defense

20:30.584 --> 20:32.696
Medical Surveillance System and D med

20:32.696 --> 20:34.862
uh defense medical ide epidemiological

20:34.862 --> 20:37.040
Database data for I'm just trying to

20:37.050 --> 20:38.939
get under an understanding of the

20:38.939 --> 20:40.883
regular practical uses of the data

20:40.883 --> 20:41.883
beyond research ,

20:43.979 --> 20:47.060
congresswoman . Uh uh we take very

20:47.069 --> 20:49.199
seriously , I mean data to formulate

20:49.209 --> 20:51.630
policy is critical to us , especially

20:51.640 --> 20:54.359
when it comes to clinical policy . So

20:54.670 --> 20:56.837
I'm not the expert , I would defer but

20:56.837 --> 20:59.430
I'll , I'll open up saying we have two

20:59.439 --> 21:01.606
system , we have multiple system . The

21:01.606 --> 21:03.661
two key systems is that the MS S the

21:03.661 --> 21:05.772
Defense Medical Surveillance System ,

21:05.920 --> 21:09.199
that's a uh uh relational database that

21:09.209 --> 21:11.500
encompass pretty much all the health ,

21:11.510 --> 21:14.180
many of the health care points of uh

21:14.189 --> 21:16.189
every service member since nine , I

21:16.189 --> 21:19.229
think since 1990 . And then we have

21:19.239 --> 21:21.969
another system is called de the Defense

21:21.979 --> 21:24.079
Medical Epidemiological Database .

21:24.310 --> 21:26.699
That's not a database , that's a web

21:26.709 --> 21:29.939
based uh tool that actually can perform

21:29.949 --> 21:33.140
queries into the D MS S . But it's

21:33.150 --> 21:35.380
really for the field that's uh that

21:35.390 --> 21:38.579
information is not identifiable for a

21:38.589 --> 21:40.599
particular patient . So is that it

21:40.609 --> 21:42.609
gives you , gives the people in the

21:42.609 --> 21:44.720
field , an idea that something may be

21:44.720 --> 21:47.069
happening and that's what we want . But

21:47.079 --> 21:48.968
then if you have a question about

21:48.968 --> 21:51.079
something happening , then we have to

21:51.079 --> 21:53.023
do further studies using the other

21:53.023 --> 21:55.246
system , the D MS S . But I'll defer to

21:55.246 --> 21:57.468
doctor Almonds if she wants to expand .

21:59.650 --> 22:02.839
Yes . Thank you . D meed is used um

22:02.849 --> 22:05.959
more as hypothesis generating . It

22:05.969 --> 22:09.430
allows users to do certain limited

22:09.439 --> 22:11.880
canned queries of the data . The

22:11.890 --> 22:14.349
default output . If you do a , a que a

22:14.430 --> 22:17.739
query on DM me looking at um a certain

22:17.750 --> 22:20.479
I CD diagnostic code from a drop down

22:20.489 --> 22:22.839
list that you can choose the default

22:22.849 --> 22:25.199
output that it will give . You are uh

22:25.209 --> 22:27.219
include numbers of outpatient

22:27.229 --> 22:29.890
encounters uh with diagnoses made in

22:29.900 --> 22:32.459
the first diagnostic position . So it's

22:32.469 --> 22:35.280
a useful tool to get a quick idea of

22:35.290 --> 22:38.260
how common . Um We're seeing how uh

22:38.270 --> 22:40.326
commonly we're seeing encounters for

22:40.326 --> 22:42.829
certain conditions . Uh can also do uh

22:42.839 --> 22:45.400
very basic population level queries .

22:45.819 --> 22:47.819
It does not contain any information

22:47.819 --> 22:51.449
about a vaccine . Um The

22:51.459 --> 22:53.626
defense medical surveillance system is

22:53.630 --> 22:56.170
used by health analysts at the armed

22:56.180 --> 22:58.390
forces Health Surveillance Division uh

22:58.410 --> 23:00.900
to do comprehensive health surveillance

23:00.939 --> 23:03.900
uh for service members . It's the data

23:03.910 --> 23:07.270
source that feeds the D meed . So DME

23:07.280 --> 23:09.900
is refreshed uh on a approximately

23:09.910 --> 23:12.770
monthly basis with data from the D MS S

23:12.989 --> 23:16.430
uh but just a um a limited uh amount of

23:16.439 --> 23:18.459
those data . OK . Thank you . That

23:18.469 --> 23:20.580
differentiation is very helpful . You

23:20.580 --> 23:22.636
know , I think part of it is while D

23:22.636 --> 23:24.580
meed seems to be more of that open

23:24.580 --> 23:26.858
source that you have . It is also very ,

23:26.858 --> 23:29.380
um it's , it's very limited . And if

23:29.390 --> 23:32.449
people do not understand that , in fact ,

23:32.459 --> 23:34.126
it is an aggregated , it's an

23:34.126 --> 23:35.848
aggregated data set , it's not

23:35.848 --> 23:38.181
disaggregated . Um You know , obviously ,

23:38.181 --> 23:40.070
because you have privacy issues ,

23:40.070 --> 23:42.126
although you could potentially um to

23:42.126 --> 23:44.292
identify some of that , but because it

23:44.292 --> 23:47.010
is not um desegregated out , you really

23:47.020 --> 23:48.798
can't differentiate between new

23:48.798 --> 23:50.909
encounters , follow up encounters . I

23:50.909 --> 23:52.964
believe that's something that you've

23:52.964 --> 23:54.964
referenced in your testimony , that

23:54.964 --> 23:56.909
this D meed is very much limited ,

23:56.909 --> 23:59.020
potentially open to misinterpretation

23:59.020 --> 24:01.187
of results for those that are using it

24:01.187 --> 24:03.353
um to , you know , in the field to try

24:03.353 --> 24:05.687
to figure out if something is happening .

24:05.687 --> 24:07.909
So my question would be given that it's

24:07.909 --> 24:07.449
subject to misinterpretation and it's

24:07.459 --> 24:09.681
very limited in its scope because it is

24:09.681 --> 24:11.237
aggregated . Has there been

24:11.237 --> 24:13.181
conversations about perhaps making

24:13.181 --> 24:15.292
damed more of a disaggregated type of

24:15.292 --> 24:17.126
system so that you can get truer

24:17.126 --> 24:19.237
results if you're actually using it .

24:19.237 --> 24:21.403
Um I mean , if not , it's always gonna

24:21.403 --> 24:22.737
be subject to potential

24:22.737 --> 24:24.681
misinterpretation by the users are

24:24.681 --> 24:26.737
limited by user understanding of the

24:26.737 --> 24:29.699
data that's um within it congresswoman .

24:29.810 --> 24:32.089
But I think the intent of the D met is

24:32.099 --> 24:34.650
to have it available across the force

24:34.760 --> 24:37.040
as the first trigger words . You have a

24:37.050 --> 24:39.050
question , you have a query . But I

24:39.050 --> 24:41.106
guess my concern is you have it as a

24:41.106 --> 24:43.050
first trigger . But if the user is

24:43.050 --> 24:45.161
unsophisticated to understand that it

24:45.161 --> 24:45.155
is limited , what you're gonna have out

24:45.165 --> 24:47.054
there is misinformation and false

24:47.054 --> 24:49.276
assumptions . So I do feel that we have

24:49.276 --> 24:51.498
to make sure when we do have these data

24:51.498 --> 24:53.554
sets that it gives the most accurate

24:53.554 --> 24:55.554
information possible . Um And is as

24:55.554 --> 24:57.554
user friendly as possible , I think

24:57.554 --> 24:59.680
right now , the way DME is , um you

24:59.689 --> 25:01.745
know , it is great that it's there ,

25:01.745 --> 25:03.856
but I think it is going to be subject

25:03.856 --> 25:05.689
to more misinformation and false

25:05.689 --> 25:07.856
assumptions being made uh if users are

25:07.856 --> 25:09.745
unaware of its limitations uh and

25:09.745 --> 25:11.856
misinterpreting the data that they're

25:11.856 --> 25:11.479
getting from it . I know chair , I'm

25:11.489 --> 25:13.545
almost out of my time . So I'll just

25:13.545 --> 25:15.910
yield back to you . Thank you . Yield

25:15.920 --> 25:19.010
uh five minutes to Mr Gates . Doctor

25:19.020 --> 25:21.510
Martinez Lopez is the Department of

25:21.520 --> 25:23.910
Defense covering up vaccine injuries .

25:25.579 --> 25:29.219
Congressman . No . So who is Lieutenant

25:29.229 --> 25:32.819
Ted Macy ? Uh Congressman ? I I

25:32.829 --> 25:35.660
don't know the Lieutenant . Well , it's

25:35.670 --> 25:37.650
sort of the reason we're here on

25:37.660 --> 25:41.150
November 27th , 2023 . Navy Medical

25:41.160 --> 25:43.160
Corps Officer , Lieutenant Ted Macy

25:43.160 --> 25:45.327
shared a video on X where he expressed

25:45.327 --> 25:47.049
grave concern for his patients

25:47.049 --> 25:49.216
suffering after receiving the COVID-19

25:49.216 --> 25:51.327
vaccine . And according to Lieutenant

25:51.327 --> 25:55.319
Macy , he tried reporting the dod data

25:55.680 --> 25:58.180
from the D MD system to his superiors

25:58.189 --> 26:00.245
and he was subsequently silenced and

26:00.245 --> 26:02.520
punished . He lost access to the D MEED

26:02.530 --> 26:04.697
system . He's been removed from seeing

26:04.697 --> 26:07.089
his patients and has been relegated to

26:07.099 --> 26:09.321
some broom closet somewhere to continue

26:09.321 --> 26:11.210
his service . It seems to me that

26:11.210 --> 26:15.119
Lieutenant Macy has suffered more than

26:15.319 --> 26:17.375
the people who screwed up the D meed

26:17.375 --> 26:19.430
system . So why is this person being

26:19.430 --> 26:21.979
punished for trying to showcase data

26:21.989 --> 26:24.680
that was alarming congressman ? I , I'm

26:24.689 --> 26:26.619
not prepared uh to talk about the

26:26.630 --> 26:28.741
specifics of the Lieutenant because I

26:28.741 --> 26:30.963
really don't know . But I'll be glad to

26:30.963 --> 26:32.963
entertain uh , answer any questions

26:32.963 --> 26:35.189
regarding the system of the vaccines

26:35.199 --> 26:37.310
and our findings . Well , right . But

26:37.310 --> 26:39.532
part of the system and the vaccines and

26:39.532 --> 26:41.532
how we conduct oversight is that if

26:41.532 --> 26:43.699
there are whistle blowers who say that

26:43.699 --> 26:45.866
you're not doing your job , right ? If

26:45.866 --> 26:45.810
there are whistleblowers concerned

26:45.819 --> 26:48.719
about a cover up , you have to ,

26:48.729 --> 26:50.896
there's a process by which that has to

26:50.896 --> 26:52.896
get to the inspector general and be

26:52.896 --> 26:54.562
reviewed . And in the case of

26:54.562 --> 26:56.396
Lieutenant Macy's concerns those

26:56.396 --> 26:58.500
languished for like more than five

26:58.510 --> 27:00.670
months . Do you have any reason why a

27:00.699 --> 27:02.588
request made through the chain of

27:02.588 --> 27:05.280
command to view this data that could

27:05.290 --> 27:07.123
illuminate concerns over vaccine

27:07.123 --> 27:10.640
injuries was smothered again .

27:10.650 --> 27:12.928
Congressman . I'm not prepared to talk .

27:13.599 --> 27:15.710
Ok , let's , let's get to what you're

27:15.710 --> 27:17.821
here to talk about . Let's get to the

27:17.821 --> 27:19.988
actual data that's so concerning since

27:19.988 --> 27:22.210
the people who raise concerns about the

27:22.210 --> 27:24.321
data , they get punished and we don't

27:24.321 --> 27:26.377
seem to remember them . Uh the , the

27:26.377 --> 27:29.770
hypertensive diseases up 23%

27:30.270 --> 27:32.569
when you compare the 2016 to 2020

27:32.579 --> 27:35.839
averages to cases in 2021 . Is that ,

27:35.849 --> 27:37.949
does that sound right ? That sounds

27:37.959 --> 27:40.000
right . So , ok . So hypertensive

27:40.010 --> 27:42.760
disease is up 23% then ovarian

27:42.770 --> 27:45.790
dysfunction , up 35% . Does that sound

27:45.800 --> 27:49.380
right ? I'm not specific . Can we ,

27:49.469 --> 27:51.802
does that sound right ? Doctor Stallman ,

27:54.349 --> 27:56.609
I think you're referencing um something

27:56.619 --> 27:59.310
from an older document , but it could

27:59.319 --> 28:02.579
be , oh , I I'm referencing data from

28:02.589 --> 28:04.922
the defense medical surveillance system .

28:04.922 --> 28:06.811
Is that a system that you're both

28:06.811 --> 28:10.239
familiar with ? Yes . OK . So that

28:10.250 --> 28:12.699
system says that hypertensive disease

28:12.709 --> 28:16.310
is up 23% ovarian dysfunction , up

28:16.319 --> 28:19.939
35% pulmonary embolisms which as we all

28:19.949 --> 28:22.959
know can kill you up 43%

28:24.010 --> 28:26.140
myocarditis . As Chairman Banks was

28:26.150 --> 28:28.869
describing up 100 and 51% .

28:30.329 --> 28:32.670
Is it , is it really your testimony

28:32.680 --> 28:35.140
that these massive spikes in these

28:35.150 --> 28:37.670
serious ailments are a consequence of

28:37.680 --> 28:40.280
contracting COVID ? Is , is that your

28:40.290 --> 28:43.479
best medical opinion , Congressman ? Uh

28:43.489 --> 28:46.089
not all , but I mean many of them

28:46.099 --> 28:48.390
obviously were in dysfunction . There

28:48.400 --> 28:50.930
are reasons Ebola , there's other

28:50.939 --> 28:53.272
reasons but yes , there is an influence .

28:53.272 --> 28:55.495
There's a correlation not only from our

28:55.500 --> 28:58.750
data for but the data of CDC that yes ,

28:58.780 --> 29:01.750
correlate uh COVID with having higher

29:01.760 --> 29:03.871
likelihood of having uh some of these

29:04.000 --> 29:06.056
me for not treating the CD , not the

29:06.180 --> 29:08.800
one but but the the other , the vaccine

29:08.810 --> 29:11.160
or the virus , the both the the virus ,

29:11.189 --> 29:13.310
the virus and you know , like the

29:13.319 --> 29:15.541
cardiomyopathy is a little bit higher .

29:15.560 --> 29:17.782
The risk is much higher if you just get

29:17.782 --> 29:21.750
the disease , but you have a high an

29:21.760 --> 29:24.939
enhanced risk , not as big as when you

29:24.949 --> 29:27.469
get the infection , but you do get some

29:27.479 --> 29:29.535
risk from getting the vaccine . It's

29:29.535 --> 29:31.590
minimal . But yes . So , so there is

29:31.590 --> 29:33.739
vaccine risk associated with

29:33.750 --> 29:36.729
hypertensive diseases , right ? A

29:36.739 --> 29:39.489
hypertension help me out .

29:40.959 --> 29:43.181
No , not that I'm aware of . But . Ok .

29:43.181 --> 29:45.348
Well , how about ovarian dysfunction ?

29:45.348 --> 29:47.459
Not that I'm aware of . And how about

29:47.459 --> 29:49.570
pulmonary embolisms ? Yes . OK . So ,

29:49.570 --> 29:51.792
so you're here giving us testimony that

29:51.792 --> 29:54.015
the vaccine increases someone's risk of

29:54.015 --> 29:56.359
pulmonary pulmonary in the the COVID

29:56.369 --> 29:58.480
virus does . I'm I'm I'm asking about

29:58.480 --> 30:00.702
the vaccine , the vaccine . No one that

30:00.702 --> 30:02.536
I know of . No . And , and , and

30:02.536 --> 30:04.869
myocarditis . You think there is a risk ,

30:04.869 --> 30:06.925
slightly higher risk , but it's much

30:06.925 --> 30:09.147
higher than if , when you get the , the

30:09.147 --> 30:11.202
virus itself , when you get infected

30:11.609 --> 30:15.489
and , and to , to tease out those data

30:15.500 --> 30:17.459
distinctions , wouldn't it be

30:17.619 --> 30:20.930
responsible to assess these

30:20.939 --> 30:23.469
conditions in people who got the

30:23.479 --> 30:26.280
disease and were unvaccinated versus

30:26.290 --> 30:28.512
the people who got the disease and were

30:28.512 --> 30:30.346
vaccinated ? Has that type of an

30:30.346 --> 30:34.160
analysis been done ? We did

30:34.170 --> 30:36.750
look at this in the dod report on

30:36.760 --> 30:40.079
cardiac and kidney conditions , the

30:40.089 --> 30:42.520
information stratified by all the

30:42.530 --> 30:44.308
different ways vaccinated , not

30:44.308 --> 30:46.239
vaccinated . Uh Those are not all

30:46.250 --> 30:48.417
included in the report . I do have the

30:48.417 --> 30:51.229
data on that when we reported the uh 10

30:51.239 --> 30:54.800
times increase rate due to um recent

30:54.810 --> 30:56.588
infection that is adjusting for

30:56.588 --> 30:58.310
vaccination status . It's also

30:58.310 --> 31:00.650
adjusting for demographic risk factors ,

31:00.660 --> 31:04.650
including age , and BM I R . Right . So ,

31:04.660 --> 31:07.079
did that analyze ovarian dysfunction ?

31:08.030 --> 31:11.329
Did it analyze pulmonary embolisms ? It

31:11.339 --> 31:13.709
did not and did it analyze hypertensive

31:13.719 --> 31:17.449
diseases ? It did not ? Well , I

31:17.459 --> 31:20.569
mean , we got thousands more people

31:21.579 --> 31:23.989
than the average in 2021 getting

31:24.000 --> 31:26.349
hypertensive diseases , thousands more

31:26.359 --> 31:28.415
people getting ovarian dysfunction ,

31:28.415 --> 31:30.470
thousands more people or I'm sorry ,

31:30.470 --> 31:32.849
hundreds more people uh getting these

31:32.859 --> 31:35.119
uh these pulmonary embolisms . What

31:35.130 --> 31:38.310
what's the case against analyzing those

31:38.319 --> 31:40.160
conditions that have seen these

31:40.170 --> 31:43.189
increases in the vaccinated versus the

31:43.199 --> 31:44.199
unvaccinated .

31:48.319 --> 31:50.800
We are continuing to do surveillance on

31:50.810 --> 31:53.380
these conditions and we are opening

31:53.390 --> 31:56.329
open to doing additional work on this

31:56.479 --> 31:58.646
with chronic conditions . It is tricky

31:58.650 --> 32:00.483
to look at that in relation to a

32:00.483 --> 32:02.483
vaccine . Is a pulmonary embolism a

32:02.483 --> 32:04.483
chronic condition or is it an acute

32:04.483 --> 32:06.317
condition ? We can look at acute

32:06.317 --> 32:08.428
condition ? Yeah , I I you know , you

32:08.428 --> 32:10.428
you your medical knowledge goes far

32:10.428 --> 32:12.483
beyond mine , but I would consider a

32:12.483 --> 32:12.260
pulmonary embolism . Acute , not

32:12.270 --> 32:14.949
chronic with hypertension . It could be

32:14.959 --> 32:18.010
difficult uh to get causal evidence to

32:18.020 --> 32:20.242
link that to the vaccine . But yes , we

32:20.242 --> 32:22.464
can look at acute outcome , right ? But

32:22.464 --> 32:24.520
see that's what , that's how you get

32:24.520 --> 32:26.687
the causal evidence . The reason there

32:26.687 --> 32:26.680
are people concerned that the dod is

32:26.689 --> 32:28.856
engaging in a cover up here is because

32:28.856 --> 32:30.467
you seem to be willfully and

32:30.467 --> 32:32.189
purposefully ignorant to those

32:32.189 --> 32:34.625
comparisons on these ailments that are ,

32:34.635 --> 32:37.444
that are skyrocketing now for pregnant

32:37.454 --> 32:39.510
women , for people who get pulmonary

32:39.510 --> 32:41.944
embolisms for people with hypertension .

32:41.954 --> 32:43.843
And in the one area you've looked

32:43.843 --> 32:45.734
myocarditis , you're here giving

32:45.744 --> 32:48.305
testimony that , that actually causes

32:48.314 --> 32:50.760
this increased risk factor . And so Mr

32:50.770 --> 32:52.826
Chairman , I , I hope we continue to

32:52.826 --> 32:54.714
follow up on this because my deep

32:54.714 --> 32:56.714
concern is that there is a cover up

32:56.714 --> 32:58.714
here and that they're playing games

32:58.714 --> 33:00.937
with the data so that we can't actually

33:00.937 --> 33:03.103
assess whether it's the vaccine or the

33:03.103 --> 33:05.103
ailment that is causing these acute

33:05.103 --> 33:07.214
conditions . And I mean , wouldn't it

33:07.214 --> 33:09.326
be a tragic thing to have to discover

33:09.326 --> 33:11.381
that we hurt people with the vaccine

33:11.381 --> 33:13.381
more so than the virus did with the

33:13.381 --> 33:15.492
ailment , particularly in a condition

33:15.492 --> 33:17.603
where now the CDC , whose opinion , I

33:17.603 --> 33:19.492
guess we treat like the gospel is

33:19.492 --> 33:21.659
saying that you , oh , you just should

33:21.659 --> 33:23.714
quarantine for 24 hours after you're

33:23.714 --> 33:25.714
done with your fever . So they have

33:25.714 --> 33:27.770
evolving sensibilities on this . And

33:27.770 --> 33:29.992
the only way we get to the bottom of it

33:29.992 --> 33:29.449
is is that that data comparison ? I

33:29.459 --> 33:31.403
thank the chair's indulgence and I

33:31.403 --> 33:33.570
yield back . Thank you . I , I agree .

33:33.570 --> 33:35.403
That's why we asked for the 2020

33:35.403 --> 33:37.515
figures . And I , I didn't ask you on

33:37.515 --> 33:37.250
the record before , but will you please ,

33:37.260 --> 33:41.089
will you submit the 2020 figures

33:41.099 --> 33:43.390
to the committee ? Can we take that for

33:43.400 --> 33:46.329
the record ? Yes , sir . Ok , Mr Moylan .

33:48.219 --> 33:50.880
Thank you , Mr Chairman uh Doctor

33:50.890 --> 33:53.959
Martinez . Lopez . Uh And by the way ,

33:53.969 --> 33:56.302
thank you for your service and military .

33:56.302 --> 33:58.247
I appreciate that . And , uh , our

33:58.247 --> 34:02.160
guard unit back in Guam Air and Army

34:02.170 --> 34:04.020
were also very responsive to the

34:04.030 --> 34:06.349
COVID-19 situation . They played a big

34:06.359 --> 34:09.449
role in supporting our island and our

34:09.459 --> 34:11.790
Adjutant General . Uh He has a lot of

34:11.800 --> 34:14.133
medical background too . He's a surgeon ,

34:14.133 --> 34:16.648
he's a surgeon as well . Uh He's really

34:16.658 --> 34:18.880
concerned now , we need to be ready for

34:18.880 --> 34:20.880
the next public health emergency on

34:20.880 --> 34:22.936
Guam . After all , we're in the pean

34:22.936 --> 34:24.714
region . We're the most western

34:24.714 --> 34:27.108
territory . Um We need to protect our

34:27.239 --> 34:30.770
community and our and our troops . So

34:30.929 --> 34:33.151
what I need to know is your interest in

34:33.159 --> 34:35.429
the indo peal area specifically in Guam

34:35.510 --> 34:38.219
to support our , our National Guard and

34:38.229 --> 34:41.659
Air Force out there . Uh because um

34:42.459 --> 34:44.681
they need to be properly staffed . So I

34:44.681 --> 34:46.737
I need to know your interest in that

34:46.737 --> 34:48.959
and making sure their training is up to

34:48.959 --> 34:51.070
date and equipped as well . So we can

34:51.070 --> 34:53.015
have , we'll be ready for the next

34:53.015 --> 34:54.737
pandemic . Uh health emergency

34:54.737 --> 34:56.626
congressman . We are actually I'm

34:56.626 --> 34:58.792
intimately involved with the issues of

34:58.792 --> 35:00.959
Guam . I'm very concerned about that .

35:01.020 --> 35:03.570
My concern is that we have the systems

35:03.590 --> 35:05.646
not only for reserve and guard for ,

35:05.646 --> 35:07.757
for the many active duty that we have

35:07.757 --> 35:10.290
in Guam and family members . Uh We are

35:10.300 --> 35:12.244
concerned about bio surveillance ,

35:12.244 --> 35:14.467
making sure it's not just about COVID ,

35:14.467 --> 35:16.800
not , not only about the things we know ,

35:16.800 --> 35:18.800
but the things that we may not know

35:18.800 --> 35:20.800
coming about and we wanna make sure

35:20.800 --> 35:22.689
that a we detect them early . And

35:22.689 --> 35:24.467
number two , we have a response

35:24.467 --> 35:27.070
mechanism to ameliorate whatever threat

35:27.080 --> 35:30.489
comes in one way or any other way . I

35:30.500 --> 35:32.333
appreciate your concern and your

35:32.333 --> 35:34.556
continuous interest in the end op com .

35:34.556 --> 35:36.667
Specifically Guam . Thank , thank you

35:36.667 --> 35:38.889
for that another question . Doctor . Uh

35:38.889 --> 35:41.300
What do you and Admiral Valdez need to

35:41.310 --> 35:43.439
safeguard the defense health Agency's

35:43.449 --> 35:45.719
abilities to support the military

35:45.729 --> 35:48.469
readiness if we were enter a conflict

35:48.479 --> 35:51.570
in Indo Pacific while ensuring patients

35:51.580 --> 35:54.050
do not experience a lap in care . What

35:54.060 --> 35:56.570
steps are you taking with stakeholders

35:56.580 --> 35:59.570
or doctors , hospitals and on Guam to

35:59.580 --> 36:01.850
prepare for future conflicts ? We're

36:01.860 --> 36:04.082
way out there . We have no support from

36:04.082 --> 36:06.138
the mainland time is of the assets ,

36:06.138 --> 36:08.249
please . Uh Congressman uh Lieutenant

36:08.249 --> 36:10.389
General Crossland just came from the

36:10.399 --> 36:12.709
theater . We went to visit Guam and

36:12.719 --> 36:14.830
visited with many of the civilian and

36:14.830 --> 36:16.939
military leadership on the island to

36:16.949 --> 36:18.727
address the medical . She's the

36:18.727 --> 36:20.949
director of the Defense Health Agency .

36:21.199 --> 36:23.739
Uh and she came back with a report ,

36:23.750 --> 36:25.917
you know , to trying to understand she

36:25.917 --> 36:28.260
understood what the issues are . Now ,

36:28.270 --> 36:30.570
we're working through how we gonna

36:30.580 --> 36:34.010
counter whatever gaps she found on her

36:34.020 --> 36:35.989
trip . This it has to be a two way

36:36.000 --> 36:38.389
conversation with not only the military

36:38.399 --> 36:40.343
leadership , it has to be with the

36:40.343 --> 36:42.232
civilian leadership of the island

36:42.232 --> 36:44.580
medical in the medical aspects . So we

36:44.590 --> 36:47.780
make sure that it at least that we do

36:47.790 --> 36:50.280
our best to be in a good position to

36:50.290 --> 36:53.580
respond to any needs that that is in

36:53.590 --> 36:55.540
particular our service members and

36:55.550 --> 36:58.389
family members need very good and final

36:58.399 --> 37:00.621
question . Doctor currently the US Army

37:00.621 --> 37:03.550
Reserve on Guam carries on innovative

37:03.560 --> 37:05.616
readiness training mission in one of

37:05.616 --> 37:07.560
the villages , Jig . Go to provide

37:07.560 --> 37:09.616
medical care to my community efforts

37:09.616 --> 37:11.671
like this are important for building

37:11.671 --> 37:13.893
goodwill between the people of Guam and

37:13.893 --> 37:15.727
the military , especially as the

37:15.727 --> 37:18.080
department plans to station increasing

37:18.090 --> 37:20.879
numbers of personnel on island . What

37:20.889 --> 37:23.222
can be done to expand efforts like this ?

37:23.222 --> 37:25.389
This is very good for our community as

37:25.389 --> 37:27.360
well . Congress find out . Yeah ,

37:30.909 --> 37:34.820
is in our interest to aid to , you

37:34.830 --> 37:37.060
know , have our troops ready and

37:37.070 --> 37:39.320
prepared to do the care they're gonna

37:39.330 --> 37:42.010
be asked to do in combat . The way we

37:42.020 --> 37:45.280
achieve that is by seeing patients and

37:45.290 --> 37:47.401
taking care of patients . If there is

37:47.401 --> 37:49.719
an opportunity , you know , a mutual

37:49.729 --> 37:51.951
opportunity by providing care to the lo

37:51.951 --> 37:54.949
to local communities . We also enhance

37:55.139 --> 37:58.360
our skill sets as clinicians , that's a

37:58.370 --> 38:00.426
win , win for the department and our

38:00.426 --> 38:03.719
neighbors . So I we are pursuing this ,

38:03.729 --> 38:05.729
not only Guam , we're pursuing this

38:05.760 --> 38:07.979
across the country in those places

38:07.989 --> 38:10.919
where we can have a mutually agreeable

38:10.929 --> 38:14.860
and acceptable uh benefit . Then

38:14.870 --> 38:16.679
we're gonna exactly go in that

38:16.689 --> 38:18.911
direction and I hope that there will be

38:18.911 --> 38:21.022
many opportunities in Guam just to do

38:21.022 --> 38:23.133
that . I appreciate that . And I look

38:23.133 --> 38:25.300
forward to working with you closely on

38:25.300 --> 38:27.356
how we can assist as well . So thank

38:27.356 --> 38:29.467
you for your efforts . Thank you , Mr

38:29.467 --> 38:31.633
Chairman . Thank you , Mr Chairman . I

38:31.633 --> 38:33.467
appreciate you both being here .

38:33.467 --> 38:35.633
Although I must say there is a growing

38:35.633 --> 38:37.856
trend within the dod that my colleagues

38:37.856 --> 38:39.856
recognize as well where people come

38:39.856 --> 38:42.022
here unprepared to be able to have the

38:42.022 --> 38:44.189
substantiated data that we require and

38:44.189 --> 38:46.356
that we've requested to make sure that

38:46.356 --> 38:45.739
we're able to get the answers and

38:45.750 --> 38:48.028
follow up . This is not the first time .

38:48.064 --> 38:50.286
I hope that in future hearings , you'll

38:50.286 --> 38:52.286
actually make sure that we have the

38:52.286 --> 38:54.342
subsequent data that we're trying to

38:54.342 --> 38:56.508
ask for and all the algorithms and all

38:56.508 --> 38:56.364
the other data planning has actually

38:56.375 --> 38:58.542
gone forth . Uh I wanna start out with

38:58.542 --> 39:00.486
the fact that , you know , kind of

39:00.486 --> 39:02.653
following along one of my colleagues ,

39:02.653 --> 39:04.708
Mr gates' testimony , where he talks

39:04.708 --> 39:06.486
about how many people have been

39:06.486 --> 39:08.653
impacted negatively , whether it be by

39:08.653 --> 39:10.819
myocarditis , whether it be by ovarian

39:10.819 --> 39:12.945
issues , whatever the case may be in

39:12.955 --> 39:15.370
addition to those who are

39:15.379 --> 39:17.550
unconstitutionally purged out of our

39:17.560 --> 39:20.010
military for religious and medical

39:20.020 --> 39:22.020
freedoms that they should have been

39:22.020 --> 39:24.510
afforded . So I I just wanna say for

39:24.520 --> 39:27.060
the record , do either one of you have

39:27.070 --> 39:30.209
a uh an an opinion , an objective

39:30.219 --> 39:32.790
opinion on whether or not you feel that

39:32.800 --> 39:34.911
medical and religious freedoms should

39:34.911 --> 39:37.133
be a key element for all members of our

39:37.133 --> 39:40.550
armed forces . Congressman dod is

39:40.560 --> 39:42.449
committed to protect religious uh

39:42.449 --> 39:45.270
liberties . Uh as you know , there is a

39:45.280 --> 39:47.336
process to request . Actually , I do

39:47.336 --> 39:49.391
know that process by the way . And I

39:49.391 --> 39:51.724
gotta say if it was actually to be true ,

39:51.724 --> 39:54.002
would be impressive because on average ,

39:54.002 --> 39:56.058
they were able to adjudicate through

39:56.058 --> 39:58.058
six individual layers per the under

39:58.058 --> 40:00.169
Secretary of Readiness who is here in

40:00.169 --> 40:02.350
less than five minutes . Imagine the

40:02.360 --> 40:04.685
ability to reach out to a minister to a

40:04.695 --> 40:06.917
priest , to other religious figures who

40:06.917 --> 40:09.139
they actually are trying to get this uh

40:09.139 --> 40:10.973
council from or looking at their

40:10.973 --> 40:12.806
independent medical , you know ,

40:12.806 --> 40:15.028
background from historical medical data

40:15.028 --> 40:17.139
from their families and being able to

40:17.139 --> 40:19.306
determine that in five minutes , I can

40:19.306 --> 40:21.473
tell you as a person who now works for

40:21.473 --> 40:23.473
the federal government , we are not

40:23.473 --> 40:25.584
that efficient if anything , it would

40:25.584 --> 40:27.751
take us about five weeks to be able to

40:27.751 --> 40:29.695
do so , but they were adjudicating

40:29.695 --> 40:31.751
these in less than five minutes . Do

40:31.751 --> 40:31.409
you think that they could adequately

40:31.419 --> 40:33.310
adjudicate a medical or religious

40:33.320 --> 40:35.760
exemption within five minutes or less ?

40:35.989 --> 40:38.045
Congressman ? I have to defer to the

40:38.045 --> 40:40.469
services that exec that executed that

40:40.479 --> 40:42.969
for us ? You know , there has been an

40:42.979 --> 40:45.146
admission to the significant errors in

40:45.146 --> 40:46.979
the defense medical epidemiology

40:46.979 --> 40:48.979
database , that disorder , the true

40:48.979 --> 40:51.146
numbers of medical encounters faced by

40:51.146 --> 40:52.979
service members . How can you be

40:52.979 --> 40:54.646
certain ? This issue has been

40:54.646 --> 40:56.590
satisfactorily rectified as to not

40:56.590 --> 40:58.923
continue to mislead the American public .

41:01.750 --> 41:03.861
Thank you . I could take that . We do

41:03.861 --> 41:06.580
take data accuracy accuracy . Seriously ,

41:06.590 --> 41:08.969
we know that data goes into making

41:08.979 --> 41:10.923
decisions about health care that's

41:10.923 --> 41:13.530
provided to service members . When we

41:13.540 --> 41:16.449
became aware of the uh programming

41:16.620 --> 41:18.810
error that was done in D med . Uh This

41:18.820 --> 41:22.090
was in January 2022 . The air , by the

41:22.100 --> 41:25.379
way was uh an analyst had used a count

41:25.389 --> 41:27.333
function instead of a sum function

41:27.570 --> 41:30.000
which led to the data that existed

41:30.010 --> 41:33.520
between 2020 16 and 2020 to be

41:33.530 --> 41:36.030
corrupted . That error is immediately

41:36.040 --> 41:38.120
corrected . Since then , we've

41:38.129 --> 41:40.250
implemented both additional technical

41:40.260 --> 41:42.260
and functional controls . So on the

41:42.260 --> 41:43.982
technical side , they're doing

41:43.982 --> 41:45.820
additional QC steps , we've also

41:45.830 --> 41:47.886
implemented a functional team that's

41:47.886 --> 41:49.830
doing additional quality assurance

41:49.830 --> 41:52.260
checks um on a periodic basis . So this

41:52.270 --> 41:54.381
is for both of you and I , I'd really

41:54.381 --> 41:56.492
like to hear your thoughts on this uh

41:56.492 --> 41:58.714
uniformed service members were expelled

41:58.714 --> 42:00.659
from the military and punished for

42:00.659 --> 42:02.881
standing up for their personal rights .

42:02.881 --> 42:05.103
How do we ensure that they are properly

42:05.103 --> 42:07.310
compensated for rightfully expressing

42:07.320 --> 42:09.376
these rights ? How do we address the

42:09.376 --> 42:11.431
discrimination and mental drain that

42:11.431 --> 42:13.264
these individuals have faced and

42:13.264 --> 42:15.209
continue to face by things such as

42:15.209 --> 42:17.153
giving them a general discharge as

42:17.153 --> 42:19.042
opposed to honorable also the dod

42:19.042 --> 42:21.153
forcing individuals to pay back their

42:21.153 --> 42:23.153
bonuses where they did not separate

42:23.153 --> 42:25.320
from the military at their free will ,

42:25.320 --> 42:27.487
they were forced out of the military .

42:27.487 --> 42:29.653
What would be your recommendations and

42:29.653 --> 42:31.598
how we would adequately compensate

42:31.598 --> 42:33.653
these individuals unconstitutionally

42:33.653 --> 42:35.820
purged by the way , almost 9000 who is

42:35.820 --> 42:38.042
unconstitutionally purged . In addition

42:38.042 --> 42:39.987
to the 41,000 recruitment deficits

42:39.987 --> 42:41.931
pretty significant for the largest

42:41.931 --> 42:41.834
volunteer force in the world

42:43.409 --> 42:46.840
congressman . Uh As you probably know ,

42:46.850 --> 42:48.800
all those service members have the

42:48.810 --> 42:51.850
right to appeal to discharge to the

42:51.860 --> 42:54.270
services . Doctor Martinez Lopez , we

42:54.280 --> 42:56.447
have seen where many of them had tried

42:56.447 --> 43:00.199
to appeal this and in many cases wasn't

43:00.209 --> 43:02.540
actually given any answer whatsoever .

43:02.790 --> 43:04.790
Again , we can adjudicate things in

43:04.790 --> 43:06.790
five minutes whenever we're denying

43:06.790 --> 43:08.734
people their medical and freedom ,

43:08.734 --> 43:10.512
religious rights . But we can't

43:10.512 --> 43:12.623
actually adjudicate something quickly

43:12.623 --> 43:14.790
where it should be a simple thing that

43:14.790 --> 43:17.189
if you did not exit the service for

43:17.199 --> 43:19.366
something which was disciplinary and ,

43:19.366 --> 43:21.143
and reasoning , not medical and

43:21.143 --> 43:23.199
religious freedom , but disciplinary

43:23.199 --> 43:26.020
and us UCMJ article 15 or above Court

43:26.030 --> 43:28.159
Marshaling . Then I don't understand

43:28.169 --> 43:30.169
how we can at least acknowledge the

43:30.169 --> 43:32.225
fact that this is unconstitutionally

43:32.225 --> 43:32.199
purged and at least give them the

43:32.209 --> 43:34.320
opportunity under honorable discharge

43:34.320 --> 43:36.431
as opposed to a general where in many

43:36.431 --> 43:38.542
cases , this plagues them and follows

43:38.542 --> 43:40.820
on in their careers and in future jobs .

43:40.820 --> 43:42.709
But that still doesn't answer the

43:42.709 --> 43:44.820
bottom question , which is that these

43:44.820 --> 43:47.153
individuals and my personal opinion , I ,

43:47.153 --> 43:49.376
I know there's others on this committee

43:49.376 --> 43:49.254
that I feel the same way should be

43:49.264 --> 43:51.594
compensated . They should have their

43:51.604 --> 43:53.715
benefits restored , they should have

43:53.725 --> 43:55.669
their original rank reinstated for

43:55.669 --> 43:57.836
those who actually still want to serve

43:57.836 --> 43:59.892
our country , not a political agenda

43:59.892 --> 44:01.781
that is placed before us and they

44:01.781 --> 44:03.836
should be given the rights that they

44:03.836 --> 44:06.058
were actually denied . Would you not at

44:06.058 --> 44:08.003
least admit to the fact that these

44:08.003 --> 44:10.114
people who are trying to serve as you

44:10.114 --> 44:12.790
have served and as I have served should

44:12.800 --> 44:14.744
be denied these rights or be given

44:14.744 --> 44:18.389
these rights congressman . Uh , you

44:18.399 --> 44:20.510
know , we have processes in and their

44:20.510 --> 44:22.455
laws and processes in the , in the

44:22.455 --> 44:25.840
system . Uh I hope that the

44:25.850 --> 44:28.239
services who , you know , I , I'm

44:28.250 --> 44:30.417
confident the services are doing their

44:30.417 --> 44:34.239
best to exercise those uh procedures

44:34.250 --> 44:36.840
to , to look at the , at each case in

44:36.850 --> 44:40.649
particular . But I appreciate that you

44:40.659 --> 44:42.881
have the confidence . I wish that I had

44:42.881 --> 44:44.937
that and shared that same confidence

44:44.937 --> 44:46.992
levels . But under the uh director ,

44:46.992 --> 44:49.215
you know , direction of someone like uh

44:49.215 --> 44:51.270
Secretary Lloyd Austin , I have very

44:51.270 --> 44:52.992
little when you talk about the

44:52.992 --> 44:54.881
dereliction of duty that has been

44:54.881 --> 44:57.048
placed forth and the prioritization of

44:57.048 --> 44:59.048
things that are not to the military

44:59.048 --> 45:01.103
armed forces' benefits with that . I

45:01.103 --> 45:03.048
yield back . Thank you . I want to

45:03.048 --> 45:05.048
thank uh Mr Gates who just left the

45:05.048 --> 45:07.270
room uh for requesting this hearing . I

45:07.270 --> 45:09.103
think it's a really important uh

45:09.103 --> 45:11.159
conversation , the type of oversight

45:11.159 --> 45:13.159
that this committee should be doing

45:13.159 --> 45:15.270
more of . It's important that we work

45:15.270 --> 45:17.381
together to differentiate between the

45:17.381 --> 45:19.270
rise of medical conditions due to

45:19.270 --> 45:21.709
COVID-19 , the infection or the

45:21.719 --> 45:25.270
COVIDNINETEEN vaccination . This effort

45:25.280 --> 45:27.224
is vital for guiding public health

45:27.229 --> 45:29.510
responses in forming treatment and

45:29.520 --> 45:31.989
management strategies , monitoring

45:32.000 --> 45:35.409
vaccine safety and maintaining the

45:35.419 --> 45:37.780
public trust and immunization programs

45:38.080 --> 45:40.439
by s by systematically investigating

45:40.449 --> 45:42.227
and addressing these concerns ,

45:42.227 --> 45:44.050
policymakers and healthcare

45:44.060 --> 45:46.282
professionals can effectively safeguard

45:46.282 --> 45:48.504
public health and the health of our men

45:48.510 --> 45:50.454
and women in uniform who put their

45:50.454 --> 45:52.288
lives on the line for this great

45:52.288 --> 45:54.343
country . I want to thank uh both of

45:54.343 --> 45:56.699
our witnesses uh again and thank you

45:56.709 --> 45:58.542
for providing your testimony and

45:58.542 --> 46:00.876
answering your questions this afternoon .

46:00.876 --> 46:02.653
I want to thank the members who

46:02.653 --> 46:04.653
participated there being no further

46:04.653 --> 46:06.653
business . The sub-committee stands

46:06.653 --> 46:05.780
adjourned .

