Modelling under-reporting in epidemics

DOI10.1007/s00285-013-0717-zzbMath1302.92128OpenAlexW2028345437WikidataQ42251219 ScholiaQ42251219MaRDI QIDQ404796

Stan Zachary, George Streftaris, Kokouvi M. Gamado

Publication date: 4 September 2014

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00285-013-0717-z

zbMATH Keywords

Markov chain Monte Carlodata augmentationreversible jumpstochastic SIR epidemicunder-reporting

Mathematics Subject Classification ID

Epidemiology (92D30) Bayesian inference (62F15) Applications of continuous-time Markov processes on discrete state spaces (60J28)

Related Items (7)

Estimation of under-reporting in epidemics using approximations ⋮ The parameter identification problem for SIR epidemic models: identifying unreported cases ⋮ Disentangling the role of virus infectiousness and awareness-based human behavior during the early phase of the COVID-19 pandemic in the European Union ⋮ Modeling the effects of meteorological factors and unreported cases on seasonal influenza outbreaks in Gansu Province, China ⋮ A marginal moment matching approach for fitting endemic‐epidemic models to underreported disease surveillance counts ⋮ Latent likelihood ratio tests for assessing spatial kernels in epidemic models ⋮ A statistical theory of the strength of epidemics: an application to the Italian COVID-19 case

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