Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19 - EHESP - École des hautes études en santé publique Access content directly
Journal Articles Nature Communications Year : 2022

Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19

Abstract

With vaccination against COVID-19 stalled in some countries, increasing vaccine accessibility and distribution could help keep transmission under control. Here, we study the impact of reactive vaccination targeting schools and workplaces where cases are detected, with an agent-based model accounting for COVID-19 natural history, vaccine characteristics, demographics, behavioural changes and social distancing. In most scenarios, reactive vaccination leads to a higher reduction in cases compared with non-reactive strategies using the same number of doses. The reactive strategy could however be less effective than a moderate/high pace mass vaccination program if initial vaccination coverage is high or disease incidence is low, because few people would be vaccinated around each case. In case of flare-ups, reactive vaccination could better mitigate spread if it is implemented quickly, is supported by enhanced test-trace-isolate and triggers an increased vaccine uptake. These results provide key information to plan an adaptive vaccination rollout.
Fichier principal
Vignette du fichier
s41467-022-29015-y.pdf (1.05 Mo) Télécharger le fichier
Origin Publisher files allowed on an open archive

Dates and versions

hal-03615409 , version 1 (21-03-2022)

Licence

Identifiers

Cite

Benjamin Faucher, Rania Assab, Jonathan Roux, Daniel Levy-Bruhl, Cécile Tran Kiem, et al.. Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19. Nature Communications, 2022, 13 (1), pp.1414. ⟨10.1038/s41467-022-29015-y⟩. ⟨hal-03615409⟩
166 View
60 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More