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A compartmental epidemic model incorporating probable cases to model COVID-19 outbreak in regions with limited testing capacity
We propose a new compartmental epidemic model taking into account people who have symptoms with no confirmatory laboratory testing (probable cases). We prove well-posedness of the model and provide an explicit expression for the basic reproduction number ([Formula: see text]). We use the model toget...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
ISA. Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7817488/ https://www.ncbi.nlm.nih.gov/pubmed/33487398 http://dx.doi.org/10.1016/j.isatra.2021.01.029 |
Sumario: | We propose a new compartmental epidemic model taking into account people who have symptoms with no confirmatory laboratory testing (probable cases). We prove well-posedness of the model and provide an explicit expression for the basic reproduction number ([Formula: see text]). We use the model together with an extended Kalman filter (EKF) to estimate the time-varying effective reproduction number ([Formula: see text]) of COVID-19 in West Java province in Indonesia and the state of Michigan in the USA, where laboratory testing capacities are limited. Based on our estimation, the value of [Formula: see text] is higher when the probable cases are taken into account. This correction can be used by decision and policy makers when considering re-opening policy and evaluation of public measures. |
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