Bulbulgul Aumakhan, Angelia A Eick-Cost, Gi-Taik Oh, Shauna L Stahlman, Robert Johnson
{"title":"Four decades of HIV antibody screening in the U.S. military: a review of incidence and demographic trends, 1990-2024.","authors":"Bulbulgul Aumakhan, Angelia A Eick-Cost, Gi-Taik Oh, Shauna L Stahlman, Robert Johnson","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Despite significant efforts to further reduce HIV incidence, including the introduction and scaling of pre-exposure prophylaxis (PrEP) in 2012, the repeal of the \"Don't Ask, Don't Tell\" (DADT) policy in 2011, and test-and-treat initiatives aligned with the 2019 \"Ending the HIV Epidemic\" initiative, annual rates of HIV incidence in the U.S. Armed Forces have continued to show little to no annual declines. To better understand the nature of new infections in the U.S. military, this retrospective analysis examined cases and trends in greater depth to 1) identify and describe total HIV antibody seropositivity rates from 1990 to 2024, with stratification by demographic characteristics, and 2) identify and characterize potential shifts in the epidemiological profile of HIV cases during the course of the evolving HIV epidemic. From January 1990 through December 2024, over 46 million U.S. service members in the active component, Guard, and reserve were tested for HIV antibodies, and 11,280 (24.3 per 100,000 persons tested) were diagnosed with HIV. Male service members comprised 96.3% of all HIV infections. The total rate of new HIV diagnoses declined over the period of surveillance, with the steepest decline in the first decade. Overall rates stabilized in 1997, but differences persist between different age and population groups. New HIV diagnoses have risen among male service members under age 30 years, with non-Hispanic Black service members bearing the highest burden and Hispanic service members experiencing the largest relative increases. Since 1997, rates in all racial and ethnic groups have more than doubled for those under age 25 years; for Hispanic service members, the increase was nearly 10-fold.</p>","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 4","pages":"13-20"},"PeriodicalIF":0.0,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12091956/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144040241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ammunition ship explosions in Papua New Guinea and Solomon Islands, 1944 and 1945.","authors":"G Dennis Shanks","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 4","pages":"49-50"},"PeriodicalIF":0.0,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12091951/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144033244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sneha P Cherukuri, Mark L Bova, Shaylee P Mehta, Christian T Bautista
{"title":"Forecasting influenza with the long short-term memory model: results from the 2023-2024 influenza season.","authors":"Sneha P Cherukuri, Mark L Bova, Shaylee P Mehta, Christian T Bautista","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This report assesses the performance of the long short-term memory (LSTM) model, a machine-learning method with potential to improve forecasting accuracy for respiratory disease surveillance, for possible inclusion in future U.S. Department of Defense influenza forecasting analyses. LSTM is a recurrent neural network model that can be used in almost all modeling fields. The LSTM model had the lowest median log-transformed weighted interval score (WIS) for all forecasting horizons: 1 week (0.3), 2 weeks (0.4), and combined 1-2 weeks (0.4). Further research is recommended to determine the performance of the LSTM model for other respiratory infections, including COVID-19.</p>","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 4","pages":"29-31"},"PeriodicalIF":0.0,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12091954/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144001581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Malaria among members of the U.S. Armed Forces, 2024.","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Malaria infection remains a potential health threat to U.S. service members located in or near endemic areas due to duty assignments, participation in contingency operations, or personal travel. In 2024, a total of 30 active and reserve component service members were diagnosed with or reported to have malaria, a 23.1% decrease from the 39 cases identified in 2023. Over half of U.S. service member malaria cases in 2024 were caused by Plasmodium falciparum (56.7%, n=17), followed by unspecified types of malaria (33.3%, n=10) and P. vivax (10.0%, n=3). Malaria cases were diagnosed or reported from 18 different medical facilities in the U.S., Germany, Africa, Japan, Middle East, and South Korea. Of the 27 cases with a known location of diagnosis, 11 (40.7%) were reported or diagnosed outside the U.S. This report documents a total of 30 malaria cases in 2024, a 23.1% decrease from 39 cases in 2023, mainly due to declines in Africa and other or unspecified locations. As in 2023, Plasmodium falciparum continues to constitute over half of new malaria cases (n=17, 56.7%) among active and reserve component U.S. service members.</p>","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 4","pages":"22-28"},"PeriodicalIF":0.0,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12091955/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144052058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Medical Surveillance Monthly Report: the first 30 years.","authors":"Leslie L Clark, Mark V Rubertone","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 4","pages":"4-8"},"PeriodicalIF":0.0,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12091950/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144019468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correlation between mean temperature and incidence of tick-borne diseases among active duty service members in the contiguous U.S., 2000-2023.","authors":"Prabhavi Denagamage, Sithembile L Mabila","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Medical encounter data and reportable medical events from the Defense Medical Surveillance System were utilized to establish that from 2000 to 2023 there were 2,869 cases of Lyme disease and 175 cases of Rocky Mountain spotted fever among U.S. active component service members within the contiguous U.S. Coincident with a 5.3% (0.63°C) increase in annual mean temperature over the course of the 24-year surveillance period, annual Lyme disease incidence rates increased 35.5% overall, concurrently peaking with mean temperature in 2012 and 2016. After adjusting for annual mean, minimum and maximum temperatures, annual total precipitation, and regional climate, in addition to adjusting for age group, race and ethnicity, sex, and service, incidence rate ratios of both tick-borne diseases did not significantly change with increases in climatic variables. Adjusted incidence rate ratios of both tick-borne diseases increased with increasing age group. Annual Lyme disease incidence rates peaked concurrently with annual mean temperatures. Incidence rate ratios for Lyme disease were highest in the Southeast compared to the Northeast, while Rocky Mountain spotted fever incidence rate ratios were highest in the South compared to the Southeast. Annual Lyme disease and Rocky Mountain spotted fever incidence rates ratios increased with increasing age group.</p>","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 3","pages":"11-19"},"PeriodicalIF":0.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12017275/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143774434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Evan Finlay, Saixia Ying, Sithembile L Mabila, Shauna L Stahlman
{"title":"Non-medical risk factors influencing health and association with suicidal ideation or attempt, U.S. active component, 2018-2022.","authors":"Evan Finlay, Saixia Ying, Sithembile L Mabila, Shauna L Stahlman","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>This study documents, for the first time, the frequency of diagnosis for non-medical risk factors influencing health among U.S. active component service members. An association is identified between non-medical risk factors and suicide ideation or attempt within 1 year following diagnosis of the risk factor. This study reports the prevalence of non-medical risk factors, also known as social determinants of health, among active component service members and assesses the relationship between these factors and suicide ideation or attempts between 2018 and 2022. This analysis was performed to determine if there is opportunity to prevent suicide ideation or attempt among service members indicated for these non-medical risk factors. The findings reveal differences between demographic variables, emphasizing the disproportionate impacts of non-medical risk factors within the military population. For example, non-Hispanic Black service members had higher frequencies of diagnoses for all factors. After controlling for age, sex, service branch, race, and year of entry into military service, odds of suicidal ideation or attempt were elevated for service members with a recent diagnosis for factors related to abuse (odds ratio [OR] 13.7), family upbringing (OR 10.9), other psychosocial issues (OR 7.5), social environment (OR 7.4), lifestyle (OR 5.4), and life management (OR 5.3). This finding persisted even after excluding individuals with any prior mental health diagnosis. The results of this study suggest a need for a more comprehensive understanding of non-medical risk factors in shaping health outcomes and informing interventions to mitigate their effects.</p>","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 3","pages":"2-10"},"PeriodicalIF":0.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12013649/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143774437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mid-season influenza vaccine effectiveness against laboratory-confirmed ambulatory influenza among U.S. active component service members, December 1, 2024-February 8, 2025.","authors":"Angelia A Eick-Cost, ZhengZheng Hu","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 3","pages":"20"},"PeriodicalIF":0.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12013647/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143774436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michelle Canham-Chervak, Anna Schuh-Renner, Shauna L Stahlman, Catherine Rappole, Bruce H Jones
{"title":"External cause coding of injury encounters in the Military Health System among active component U.S. service members, 2016-2019.","authors":"Michelle Canham-Chervak, Anna Schuh-Renner, Shauna L Stahlman, Catherine Rappole, Bruce H Jones","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Knowledge of injury causes is essential for prevention. To investigate cause coding in service members' electronic medical records, injury encounters from 2016 to 2019 containing at least 1 external cause code were analyzed. Approximately 10% of incident injury encounters contained at least 1 cause code describing the mechanism, activity, or place of occurrence. Less than 2% of overuse injury encounters had a cause code each year, compared to 36.4-44.0% of acute injuries occurring from 2016 to 2019. Cause coding occurred more frequently in records from military facilities compared to outsourced care (p<0.001). Inpatient records were more likely to be cause-coded than outpatient records (p<0.001). More injury encounters in emergency clinics were cause coded (>50%), compared to approximately 7% of primary care and 2% of specialist encounters. In 2019, the leading mechanism was overexertion (19.9%), followed by falls, slips, or trips (18.7%). The primary activity associated with injuries was running (21.1%). Military training ground was the leading place of occurrence (13.0%). Improvements to the quality and quantity of external cause coding in the medical records would provide critical details to inform military injury prevention. From 2016 through 2019, approximately 10% of 1.5 million annual U.S. service member incident injury medical encounters contained external cause codes. Acute injuries were approximately 20 times more likely to receive a cause code than overuse injuries. Causes were less likely to be recorded in outpatient care records and at non-military health care facilities.</p>","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 2","pages":"2-9"},"PeriodicalIF":0.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11933241/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143528092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wendi S Bowman, Sasha A McGee, Lisa A Pearse, Courtney Coker, Jamaal A Russell, Asha J Riegodedios
{"title":"Development of a new fleet disease and injury surveillance capability using ESSENCE.","authors":"Wendi S Bowman, Sasha A McGee, Lisa A Pearse, Courtney Coker, Jamaal A Russell, Asha J Riegodedios","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Historically, disease and illness (D&I) surveillance on U.S. Navy vessels relied on weekly data updates and required manual data processing. Established surveillance approaches for fixed military hospitals and clinics were not designed to be applied to the highly mobile populations aboard ships. This paper describes the development of a new surveillance capability through utilization of the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE). The pilot program successfully instituted a near real-time D&I surveillance system defined for shipboard operations. Following initial data and system assessment, an operational surveillance strategy was developed and implemented at the Navy's 4 regional Navy Environmental and Preventive Medicine Units responsible for global fleet assets. Despite early implementation challenges, preventive medicine users reported that the fleet ESSENCE system was effective in identifying potential outbreaks, with sufficient efficiency for daily surveillance. This new capability using in-theater data in ESSENCE enables unprecedented, near real-time D&I surveillance for the U.S. Navy fleet. While currently targeting gastrointestinal and respiratory illness trends, the infrastructure has flexibility to add new modules in response to fleet and preventive medicine requirements.</p>","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"32 2","pages":"10-15"},"PeriodicalIF":0.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11933240/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143528087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}