A framework for considering the utility of models when facing tough decisions in public health: a guideline for policy-makers.
Decision support
Decision-making
Modelling
Policy
Public health
Journal
Health research policy and systems
ISSN: 1478-4505
Titre abrégé: Health Res Policy Syst
Pays: England
ID NLM: 101170481
Informations de publication
Date de publication:
08 Oct 2022
08 Oct 2022
Historique:
received:
30
05
2022
accepted:
26
08
2022
entrez:
8
10
2022
pubmed:
9
10
2022
medline:
12
10
2022
Statut:
epublish
Résumé
The COVID-19 pandemic has brought the combined disciplines of public health, infectious disease and policy modelling squarely into the spotlight. Never before have decisions regarding public health measures and their impacts been such a topic of international deliberation, from the level of individuals and communities through to global leaders. Nor have models-developed at rapid pace and often in the absence of complete information-ever been so central to the decision-making process. However, after nearly 3 years of experience with modelling, policy-makers need to be more confident about which models will be most helpful to support them when taking public health decisions, and modellers need to better understand the factors that will lead to successful model adoption and utilization. We present a three-stage framework for achieving these ends.
Identifiants
pubmed: 36209122
doi: 10.1186/s12961-022-00902-6
pii: 10.1186/s12961-022-00902-6
pmc: PMC9547676
doi:
Types de publication
Letter
Langues
eng
Sous-ensembles de citation
IM
Pagination
107Subventions
Organisme : Australian Research Council
ID : DE180101411
Informations de copyright
© 2022. The Author(s).
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