MSMR Pub Date : 2024-07-20

引用次数: 0

Ambulatory health care visits among active component members of the U.S. Armed Forces, 2023. 2023 年美国武装部队现役人员门诊就医情况。

MSMR Pub Date : 2024-06-20

引用次数: 0

Absolute and relative morbidity burdens attributable to various illnesses and injuries among active component members of the U.S. Armed Forces, 2023. 2023 年美国武装部队现役成员因各种疾病和伤害造成的绝对和相对发病率负担。

MSMR Pub Date : 2024-06-20

引用次数: 0

Hospitalizations among active component members of the U.S. Armed Forces, 2023. 2023 年美国武装部队现役成员住院情况。

MSMR Pub Date : 2024-06-20

引用次数: 0

Sexually transmitted infections among active component members of the U.S. Armed Forces, 2015-2023. 美国武装部队现役成员中的性传播感染，2015-2023 年。

MSMR Pub Date : 2024-06-20

{"title":"Sexually transmitted infections among active component members of the U.S. Armed Forces, 2015-2023.","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"This report summarizes incidence rates and trends of sexually transmitted infections (STIs) from 2015 through 2023 among active component service members of the U.S. Armed Forces. The data compiled for this report are derived from the medical surveillance of chlamydia, gonorrhea, and syphilis as nationally notifiable diseases. Case data for 2 additional STIs, human papilloma virus (HPV) and genital herpes simplex virus (HSV), are also presented. The crude total case rates of chlamydia and gonorrhea initially rose by an average of 6.7% and 9.8% per year, respectively, until 2019. From 2020 onwards, rates steadily declined. By 2023, chlamydia rates had dropped by approximately 39%, while gonorrhea rates had fallen by more than 40% for female, and 19% for male, service members. Initially syphilis increased, on average, 10% annually from 2015 to 2019, then declined in 2020, but resumed its upward trend through 2023, nearly doubling the 2015 rate in 2023. The total crude annual incidence rates of genital HPV and HSV exhibited downward trends in general over the surveillance period, decreasing by 30.7% and 24.7%, respectively. Age- and gender-adjusted case rates for chlamydia, gonorrhea, and syphilis remain elevated within the U.S. Armed Forces compared to the general U.S. population, which may be due to factors that include mandatory STI screening, more complete reporting, incomplete adjustment for age distribution, and inequitable comparisons between the military active duty and general U.S. populations. Social restrictions enacted during the COVID-19 pandemic may have contributed to declines in true case rates and screening coverage.","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"31 6","pages":"34-42"},"PeriodicalIF":0.0,"publicationDate":"2024-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11259446/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141564770","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}

引用次数: 0

Absolute and relative morbidity burdens attributable to various illnesses and injuries among active component members of the U.S. Coast Guard, 2023. 2023 年美国海岸警卫队现役人员因各种疾病和伤害造成的绝对和相对发病率负担。

MSMR Pub Date : 2024-06-20

引用次数: 0

Malaria among members of the U.S. Armed Forces, 2023. 2023 年美国武装部队成员疟疾发病率。

MSMR Pub Date : 2024-05-20

引用次数: 0

Predicting COVID-19 and respiratory illness: results of the 2022-2023 Armed Forces Health Surveillance Division forecasting challenge. 预测 COVID-19 和呼吸道疾病：2022-2023 年武装部队卫生监督处预测挑战的结果。

MSMR Pub Date : 2024-05-20

Mark L Bova, Sasha A McGee, Kathleen R Elliott, Juan I Ubiera

{"title":"Predicting COVID-19 and respiratory illness: results of the 2022-2023 Armed Forces Health Surveillance Division forecasting challenge.","authors":"Mark L Bova, Sasha A McGee, Kathleen R Elliott, Juan I Ubiera","doi":"","DOIUrl":"","url":null,"abstract":"Since 2019, the Integrated Biosurveillance Branch of the Armed Forces Health Surveillance Division has conducted an annual forecasting challenge during influenza season to predict short-term respiratory disease activity among Military Health System beneficiaries. Weekly case and encounter observed data were used to generate 1- through 4-week advanced forecasts of disease activity. To create unified combinations of model inputs for evaluation across multiple spatial resolutions, 8 individual models were used to calculate 3 ensemble models. Forecast accuracy compared to the observed activity for each model was evaluated by calculating a weighted interval score. Weekly 1- through 4-week ahead forecasts for each ensemble model were generally higher than observed data, especially during periods of peak activity, with peaks in forecasted activity occurring later than observed peaks. The larger the forecasting horizon, the more pronounced the gap between forecasted peak and observed peak. The results showed that several models accurately predicted COVID-19 cases and respiratory encounters with enough lead time for public health response by senior leaders.","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"31 5","pages":"24-30"},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11192153/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141301722","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}

引用次数: 0

U.S. Army mortality surveillance in active duty soldiers, 2014-2019. 2014-2019 年美国陆军现役士兵死亡率监测。

MSMR Pub Date : 2024-05-20

Gabrielle F Kaplansky, Maisha Toussaint

{"title":"U.S. Army mortality surveillance in active duty soldiers, 2014-2019.","authors":"Gabrielle F Kaplansky, Maisha Toussaint","doi":"","DOIUrl":"","url":null,"abstract":"Mortality surveillance is an important activity for capturing information on a population's health. This retrospective surveillance analysis utilizes administrative data sources to describe active duty U.S. Army soldiers who died from 2014 to 2019, and calculate mortality rates, assess trends by category of death, and identify leading causes of death within subpopulations. During the surveillance period, 2,530 soldier deaths were reported. The highest crude mortality rates observed during the 6-year surveillance period were for deaths by suicide, followed by accidental (i.e., unintentional injury) deaths. The crude mortality rates for natural deaths decreased significantly over the 6-year period, by an average of 6% annually. The leading causes of death were suicide by gunshot wound, motor vehicle accidents, suicide by hanging, neoplasms, and cardiovascular events. Significant differences were observed in the leading causes of death in relation to demographic characteristics, which has important implications for the development of focused educational campaigns to improve health behaviors and safe driving habits. Current public health programs to prevent suicide should be evaluated, with new approaches for firearm safety considered.","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"31 5","pages":"2-8"},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11189822/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141284916","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}

引用次数: 0

Surveillance outcomes of respiratory pathogen infections during the 2021-2022 season among U.S. Military Health System beneficiaries, October 3, 2021-October 1, 2022. 2021 年 10 月 3 日至 2022 年 10 月 1 日，2021-2022 年美国军事卫生系统受益人呼吸道病原体感染的监测结果。

MSMR Pub Date : 2024-05-20

Bismark Kwaah, William E Gruner, Laurie S DeMarcus, Jeffrey W Thervil, Whitney N Jenkins, Fritz M Castillo, Tamara R Hartless, Victor K Heh, Deanna Muehleman, Anthony C Fries, Paul A Sjoberg, Fabrice E Evengue, Anthony S Robbins

{"title":"Surveillance outcomes of respiratory pathogen infections during the 2021-2022 season among U.S. Military Health System beneficiaries, October 3, 2021-October 1, 2022.","authors":"Bismark Kwaah, William E Gruner, Laurie S DeMarcus, Jeffrey W Thervil, Whitney N Jenkins, Fritz M Castillo, Tamara R Hartless, Victor K Heh, Deanna Muehleman, Anthony C Fries, Paul A Sjoberg, Fabrice E Evengue, Anthony S Robbins","doi":"","DOIUrl":"","url":null,"abstract":"The Department of Defense Global Respiratory Pathogen Surveillance Program conducts continuous surveillance for influenza, severe acute respiratory syndrome 2 (SARS-CoV-2), and other respiratory pathogens at 104 sentinel sites across the globe. These sites submitted 65,475 respiratory specimens for clinical diagnostic testing during the 2021-2022 surveillance season. The predominant influenza strain was influenza A(H3N2) (n=777), of which 99.9% of strains were in clade 3C.2a1b.2a2. A total of 21,466 SARSCoV-2-positive specimens were identified, and 12,225 of the associated viruses were successfully sequenced. The Delta variant predominated at the start of the season, until December 2021, when Omicron became dominant. Most circulating SARS-CoV-2 viruses were subsequently held by Omicron sublineages BA.1, BA.2, and BA.5 during the season. Clinical manifestation, obtained through a self-reported questionnaire, found that cough, sinus congestion, and runny nose complaints were the most common symptoms presenting among all pathogens. Sentinel surveillance can provide useful epidemiological data to supplement other disease monitoring activities, and has become increasingly useful with increasing numbers of individuals utilizing COVID-19 rapid self-test kits and reductions in outpatient visits for routine respiratory testing.","PeriodicalId":38856,"journal":{"name":"MSMR","volume":"31 5","pages":"16-23"},"PeriodicalIF":0.0,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11208036/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141301723","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}

引用次数: 0

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