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Infectious Disease Modeling: Recommendations for Public Health Decision-Makers.
Olesen, Scott W; Trabert, Eric.
Affiliation
  • Olesen SW; Center for Public Health Preparedness and Resilience, Institute for Public Research, CNA, Arlington, Virginia, USA.
  • Trabert E; Center for Public Health Preparedness and Resilience, Institute for Public Research, CNA, Arlington, Virginia, USA.
Disaster Med Public Health Prep ; : 1-3, 2022 Jun 02.
Article in En | MEDLINE | ID: mdl-35652654
ABSTRACT
Infectious disease modeling plays an important role in the response to infectious disease outbreaks, perhaps most notably during the coronavirus disease 2019 (COVID-19) pandemic. In our experience working with state and local governments during COVID-19 and previous public health crises, we have observed that, while the scientific literature focuses on models' accuracy and underlying assumptions, an important limitation on the effective application of modeling to public health decision-making is the ability of decision-makers and modelers to work together productively. We therefore propose a set of guiding principles, informed by our experience, for working relationships between decision-makers and modelers. We hypothesize that these guidelines will improve the utility of infectious disease modeling for public health decision-making, irrespective of the particular outbreak in question and of the precise modeling approaches being used.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Disaster Med Public Health Prep Journal subject: SAUDE PUBLICA Year: 2022 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Disaster Med Public Health Prep Journal subject: SAUDE PUBLICA Year: 2022 Document type: Article Affiliation country: Estados Unidos
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