Combating Infectious Diseases in the Military : Challenges and Future Directions
DOI:
https://doi.org/10.47611/jsrhs.v13i4.8312Keywords:
Vaccine Hesitancy, Military Health, Infectious Disease Outbreaks, AI Surveillance, Military Vaccination EffortsAbstract
Emerging infectious diseases, such as COVID-19 and Zika, have posed significant challenges to military strategy and operations. Such challenges include mission disruption and health compromisation of military personnel. Existing solutions like rapid diagnostic tests (3.7 million were distributed to 63 countries in 2020 during the COVID-19 pandemic), social distancing, and vaccination campaigns have been extremely helpful. However, some weaknesses and areas for potential improvement have come to light in terms of combating pandemics. These include a lack of reliable virus-tracking systems and vaccine hesitancy. This research paper will delve into the existing solutions and possible improvements that can be made to them in order to better address the military community.
Downloads
References or Bibliography
Redirect Notice. (2024). Google.com. https://www.google.com/url?q=https://www.unicef.org/supply/stories/getting-covid-19-tests-hands-health-workers&sa=D&source=docs&ust=1725152806238753&usg=AOvVaw16fSEE9ogMg8fVtZualguf
Redirect Notice. (2024). Google.com. https://www.google.com/url?q=https://jpands.org/vol27no2/hatfill1.pdf&sa=D&source=docs&ust=1725152806239748&usg=AOvVaw0UCjbKjF8_0tNDCfwpkB5C
Segal, D., Rotschield, J., Ankory, R., Kutikov, S., Moaddi, B., Verhovsky, G., Benov, A., Twig, G., Glassberg, E., Fink, N., Bader, T., & Karp, E. (2020). Measures to Limit COVID-19 Outbreak Effects Among Military Personnel: Preliminary Data. Military Medicine, 185(9-10), e1624–e1631. https://doi.org/10.1093/milmed/usaa112
Dutton, L. K., Rhee, P. C., Shin, A. Y., Ehrlichman, R. J., & Shemin, R. J. (2021). Combating an invisible enemy: the American military response to global pandemics. Military Medical Research, 8(1). https://doi.org/10.1186/s40779-021-00299-3
Holst, M. W., & Carlson, C. (2021). Vaccine Hesitancy Among U.S. Military Service Members: Contributing Factors and Operational Impacts on the Great Power Competition. Global Security and Intelligence Studies, 6(2). https://doi.org/10.18278/gsis.6.2.8
Higginson, J. D., Tumin, D., Kuehhas, T. C., DeLozier-Hooks, S. E., Powell, C. A., Ramirez, D. D., Dabelić, A., & Basso, M. R. (2021). COVID-19 Vaccine Hesitancy Among Deployed Personnel in a Joint Environment. Military Medicine, usab518. https://doi.org/10.1093/milmed/usab518
US NAVY COVID-19 STANDARDIZED OPERATIONAL GUIDANCE VERSION 3.1. (n.d.). Www.navy.mil. https://www.navy.mil/Resources/NAVADMINs/Message/Article/2407046/us-navy-covid-19-standardized-operational-guidance-version-31/
Army scientists partner with DARPA to develop COVID-19 sensor. (n.d.). Www.army.mil. https://www.army.mil/article/243763/army_scientists_partner_with_darpa_to_develop_covid_19_sensor
Lawrence, D. F. (2023, May 1). Military Expanding the Use of Fitness Trackers to Detect Disease Outbreaks Such as COVID-19. Military.com. https://www.military.com/daily-news/2023/05/01/military-expanding-use-of-fitness-trackers-detect-disease-outbreaks-such-covid-19.html
World Health Organization. (2015, August 18). Vaccine hesitancy: A growing challenge for immunization programmes. World Health Organization. https://www.who.int/news/item/18-08-2015-vaccine-hesitancy-a-growing-challenge-for-immunization-programmes
Upfill-Brown, A. M., Voorman, A., Chabot-Couture, G., Shuaib, F., & Lyons, H. M. (2016). Analysis of vaccination campaign effectiveness and population immunity to support and sustain polio elimination in Nigeria. BMC Medicine, 14(1). https://doi.org/10.1186/s12916-016-0600-z
Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts | IEEE Journals & Magazine | IEEE Xplore. (n.d.). Ieeexplore.ieee.org. https://ieeexplore.ieee.org/abstract/document/9141265
Wang, L., Lin, Z. Q., & Wong, A. (2020). COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-76550-z
Published
How to Cite
Issue
Section
Copyright (c) 2024 Aiswarya Chilukuri; Kathryn Wilwohl, Virgel Torremocha, Jothsna Kethar
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.
