Each month, MSMR publishes a reportable medical event update for active component service members as well as Military Health System beneficiaries, documented through the Disease Reporting System internet.

This annual update summarizes incidence rates and trends of the most frequent sexually transmitted infections among U.S. active component service members: chlamydia, gonorrhea, syphilis, human papilloma virus (HPV), and genital herpes simplex virus (HSV).

This report describes the incidence of gonorrhea and chlamydia in male Air Force basic trainees and compares follow up testing and clinical outcomes with female basic trainees.

This retrospective evaluation utilized contact tracing data collected by Army Public Health Nursing to identify sexual networks of U.S. service members infected with chlamydia at a single military base.

This annual update summarizes numbers and trends of new HIV antibody seropositivity among U.S. active and reserve component service members, in addition to National Guard members.

This study employed multiple forecasting methods in an effort to predict future Lyme disease and tick bites among U.S. Military Health System beneficiaries, with comparisons to actual outpatient encounter data.

This report describes associations between prior body mass index and prior physical fitness performance with COVID-19 hospitalization, adjusting for age, race and ethnicity, vaccination, and comorbidities.

MSMR publishes a monthly summary of reportable medical events documented in the Disease Reporting System internet by Military Health System care providers and public health officials.

This report provides cumulative seasonal influenza hospitalization rates of service members, stratified by sex, age group, race and ethnicity, branch of service, recruit site, and location, both in the U.S. and overseas.

This report provides updated data and analysis on measles, mumps, rubella and varicella cases from 2019 through 2024, describing trends among U.S. Military Health System beneficiaries and stratifying cases by immunization status.

This study developed predictive models to forecast future long COVID diagnoses and compared each model prediction to observed diagnoses.

This study evaluated associations between COVID-19 infection during pregnancy and adverse outcomes, along with any changes in association for pregnant women who received COVID-19 vaccinations.