The Long Short-Term Memory model is a machine-learning method with potential to improve forecasting accuracy for respiratory disease surveillance. This report assesses the model's performance for potential future Department of Defense influenza forecasting.

This brief article describes how the Walter Reed Army Institute of Research (WRAIR) worked collaboratively with local partners to discover an effective treatment for scrub typhus, a deadly illness that killed thousands of Allied soldiers in the Pacific during World War II.

This editorial discusses the U.S. Department of Defense Global Respiratory Pathogen Surveillance Program, a cornerstone of U.S. Department of Defense respiratory disease surveillance, and its surveillance network of 115 active sentinel sites in addition to other participating sites, deployed locations, and partner laboratories across the globe.

This retrospective analysis examines HIV antibody seropositivity rates in the U.S. Armed Forces and characterizes shifts in the epidemiological profile of HIV cases during the course of the evolving HIV epidemic.

For over 200 years, the U.S. military has consistently utilized the best data it could collect, analyze, and disseminate, to protect the health and lives of its personnel, improve current medical knowledge and practice, and advance scientific discovery.

This editorial evaluates the clinical utility of increasingly common respiratory viral panel diagnostic assays and how they can improve force health protection and Military Health System beneficiary public health surveillance.

Since 1999, MSMR has published regular updates on malaria incidence among U.S. service members. This update describes the epidemiological patterns of malaria incidence among service members in the active and reserve components of the U.S. Armed Forces from 2015 through 2024.

Reportable medical events are documented in the Disease Reporting System internet by health care providers and public health officials throughout the Military Health System and are reported monthly in MSMR.

This study identifies the incidence of the two tick-borne diseases, Lyme disease and Rocky Mountain spotted fever, that are most frequently diagnosed within the Military Health System among active component U.S. service members and evaluates the correlation between temperature and incidence of each tick-borne disease.

This Surveillance Snapshot provides an overview of the 2024-2025 mid-season analysis of influenza vaccine effectiveness against medically-attended ambulatory influenza infections among active component U.S. service members.

This month’s edition of the MSMR Reportable Medical Events at Military Health System facilities feature provides an overview of annual data for 2024 for active component U.S. service members and their beneficiaries.

This study reports the prevalence of non-medical risk factors, also known as social determinants of health, among active component U.S. service members and assesses the relationship between these factors and suicide ideation or attempts between 2018 and 2022. This study documents, for the first time, the frequency of diagnosis for non-medical risk ...

Reportable medical events are documented in the Disease Reporting System internet by health care providers and public health officials throughout the Military Health System and are reported monthly in MSMR.