Epidemic outcomes following government responses to COVID-19: Insights from nearly 100,000 models.
Journal
Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440
Informations de publication
Date de publication:
07 Jun 2024
07 Jun 2024
Historique:
medline:
5
6
2024
pubmed:
5
6
2024
entrez:
5
6
2024
Statut:
ppublish
Résumé
Government responses to COVID-19 are among the most globally impactful events of the 21st century. The extent to which responses-such as school closures-were associated with changes in COVID-19 outcomes remains unsettled. Multiverse analyses offer a systematic approach to testing a large range of models. We used daily data on 16 government responses in 181 countries in 2020-2021, and 4 outcomes-cases, infections, COVID-19 deaths, and all-cause excess deaths-to construct 99,736 analytic models. Among those, 42% suggest outcomes improved following more stringent responses ("helpful"). No subanalysis (e.g. limited to cases as outcome) demonstrated a preponderance of helpful or unhelpful associations. Among the 14 associations with
Identifiants
pubmed: 38838157
doi: 10.1126/sciadv.adn0671
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM