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Operational Considerations in Global Health Modeling.
Broadway, Katherine M; Schwartz-Watjen, Kierstyn T; Swiatecka, Anna L; Hadeed, Steven J; Owens, Akeisha N; Batni, Sweta R; Wu, Aiguo.
Afiliación
  • Broadway KM; Defense Sciences, Inc. (DSI), Support to DTRA Technical Reachback, San Antonio, TX 78230, USA.
  • Schwartz-Watjen KT; Applied Research Associates (ARA), Support to DTRA Technical Reachback, Albuquerque, NM 87110, USA.
  • Swiatecka AL; Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA.
  • Hadeed SJ; Battelle Memorial Institute, Support to DTRA Technical Reachback, Columbus, OH 43201, USA.
  • Owens AN; Defense Threat Reduction Agency (DTRA), Fort Belvoir, VA 22060, USA.
  • Batni SR; Defense Threat Reduction Agency (DTRA), Fort Belvoir, VA 22060, USA.
  • Wu A; Defense Threat Reduction Agency (DTRA), Fort Belvoir, VA 22060, USA.
Pathogens ; 10(10)2021 Oct 19.
Article en En | MEDLINE | ID: mdl-34684297
Epidemiological modeling and simulation can contribute cooperatively across multifaceted areas of biosurveillance systems. These efforts can be used to support real-time decision-making during public health emergencies and response operations. Robust epidemiological modeling and simulation tools are crucial to informing risk assessment, risk management, and other biosurveillance processes. The Defense Threat Reduction Agency (DTRA) has sponsored the development of numerous modeling and decision support tools to address questions of operational relevance in response to emerging epidemics and pandemics. These tools were used during the ongoing COVID-19 pandemic and the Ebola outbreaks in West Africa and the Democratic Republic of the Congo. This perspective discusses examples of the considerations DTRA has made when employing epidemiological modeling to inform on public health crises and highlights some of the key lessons learned. Future considerations for researchers developing epidemiological modeling tools to support biosurveillance and public health operations are recommended.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Pathogens Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Pathogens Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza