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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Leaked U.S. Department of Defense DMED (Defense Medical Epidemiology Database)

Authors: Renz, Thomas; Dundas, Leigh; Dr. Samuel Sigoloff; Lt. Col. Peter Chambers; Lt. Col. Theresa Long; U.S. Department Of Defense;

Leaked U.S. Department of Defense DMED (Defense Medical Epidemiology Database)

Abstract

This is a database and accompanying report first appearing on a google drive link shared by Attorney Thomas Renz of Renz Law with the Epoch Times as well as embedded into Thomas Renz' website. According to DHA's Armed Forces Surveillance Division, the data in this database is incorrect for the years 2016-2020. (Watson, 2022) DMED is a web tool to query medical event data contained within the Defense Medical Surveillance System. The AFHSD claims that due to a serious error in their system, data between the years of 2016-2020 has been incredibly under-reported which has lead to the appearance of a significant increase of occurrences of medical diagnoses in 2021. (Watson 2022) References: Renz, T. (2021, October 1). Attorney Tom Renz discovers leaked DOD covid files. Renz Law. Retrieved February 6, 2022, from https://renz-law.com/attorney-tom-renz-discovers-leaked-dod-covid-files/ Watson, S. (2022, February 6). Pentagon responds to DOD whistleblowers' claim of spiking disease rates in the military after Covid Vaccine Mandate. InfoWars. Retrieved February 6, 2022, from https://www.infowars.com/posts/pentagon-responds-to-dod-whistleblowers-claim-of-spiking-disease-rates-in-the-military-after-covid-vaccine-mandate/

Keywords

covid19, DoD, leak, database

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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