Cargando…

Operational Considerations in Global Health Modeling

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Broadway, Katherine M., Schwartz-Watjen, Kierstyn T., Swiatecka, Anna L., Hadeed, Steven J., Owens, Akeisha N., Batni, Sweta R., Wu, Aiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537235/
https://www.ncbi.nlm.nih.gov/pubmed/34684297
http://dx.doi.org/10.3390/pathogens10101348
_version_ 1784588201774546944
author Broadway, Katherine M.
Schwartz-Watjen, Kierstyn T.
Swiatecka, Anna L.
Hadeed, Steven J.
Owens, Akeisha N.
Batni, Sweta R.
Wu, Aiguo
author_facet Broadway, Katherine M.
Schwartz-Watjen, Kierstyn T.
Swiatecka, Anna L.
Hadeed, Steven J.
Owens, Akeisha N.
Batni, Sweta R.
Wu, Aiguo
author_sort Broadway, Katherine M.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8537235
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-85372352021-10-24 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 Pathogens Perspective 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. MDPI 2021-10-19 /pmc/articles/PMC8537235/ /pubmed/34684297 http://dx.doi.org/10.3390/pathogens10101348 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Perspective
Broadway, Katherine M.
Schwartz-Watjen, Kierstyn T.
Swiatecka, Anna L.
Hadeed, Steven J.
Owens, Akeisha N.
Batni, Sweta R.
Wu, Aiguo
Operational Considerations in Global Health Modeling
title Operational Considerations in Global Health Modeling
title_full Operational Considerations in Global Health Modeling
title_fullStr Operational Considerations in Global Health Modeling
title_full_unstemmed Operational Considerations in Global Health Modeling
title_short Operational Considerations in Global Health Modeling
title_sort operational considerations in global health modeling
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8537235/
https://www.ncbi.nlm.nih.gov/pubmed/34684297
http://dx.doi.org/10.3390/pathogens10101348
work_keys_str_mv AT broadwaykatherinem operationalconsiderationsinglobalhealthmodeling
AT schwartzwatjenkierstynt operationalconsiderationsinglobalhealthmodeling
AT swiateckaannal operationalconsiderationsinglobalhealthmodeling
AT hadeedstevenj operationalconsiderationsinglobalhealthmodeling
AT owensakeishan operationalconsiderationsinglobalhealthmodeling
AT batniswetar operationalconsiderationsinglobalhealthmodeling
AT wuaiguo operationalconsiderationsinglobalhealthmodeling