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Multi-event dynamic capture-recapture model for big data:Estimating undetected COVID-19 cases in British Columbia,Canada

Kehinde Olobatuyi Junling Ma Patrick Brown Laura L.E.Cowen

传染病建模（英文）Issue(2)：764-786,23.

传染病建模（英文）Issue(2)：764-786,23.DOI:10.1016/j.idm.2025.12.016

Multi-event dynamic capture-recapture model for big data:Estimating undetected COVID-19 cases in British Columbia,Canada

Kehinde Olobatuyi ¹Junling Ma ¹Patrick Brown ²Laura L.E.Cowen¹

作者信息

1. Department of Mathematics and Statistics,University of Victoria,3800 Finnerty Street,Victoria,V8P 5C2,British Columbia,Canada
2. Department of Statistics and Actuarial Science,University of Toronto,27 King's College Cir,Toronto,M5S 1A1,Ontario,Canada
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摘要

关键词

Multi-event model/Capture-recapture model/Markov chain Monte Carlo/COVID-19/Computational efficiency/Divide-and-Conquer approach

Key words

Multi-event model/Capture-recapture model/Markov chain Monte Carlo/COVID-19/Computational efficiency/Divide-and-Conquer approach

引用本文复制引用

Kehinde Olobatuyi,Junling Ma,Patrick Brown,Laura L.E.Cowen..Multi-event dynamic capture-recapture model for big data:Estimating undetected COVID-19 cases in British Columbia,Canada[J].传染病建模（英文）,2026,(2):764-786,23.

基金项目

This work is supported by a Natural Science and Engineering Research Council of Canada Discovery Grant RGPIN-2020-05993 to LC,a University of Victoria Aspiration 2030 Postdoctoral Fellowship award and CIHR REDI award with Funding Reference Number:DI1-190727 to KO.This research was enabled by support provided by the Population Data BC.We would like to thank Dr.Matthew Parker at the Simon Fraser University. （）

传染病建模（英文）

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