A Bayesian approach for monitoring epidemics in presence of undetected cases

DOI10.1016/J.CHAOS.2020.110167zbMath1495.92080OpenAlexW3025992484WikidataQ99637340 ScholiaQ99637340MaRDI QIDQ2123629

Marco Piangerelli, Andrea De Simone

Publication date: 14 April 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2020.110167

zbMATH Keywords

stochastic processBayesian inferencecomputational epidemiologyCOVID-19

Mathematics Subject Classification ID

Epidemiology (92D30) Bayesian inference (62F15) Population dynamics (general) (92D25)

Uses Software

• GitHub
• R0
• EpiEstim

Cites Work

• Modelling Biological Populations in Space and Time
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