Modeling COVID‐19 contact‐tracing using the ratio regression capture–recapture approach

Dankmar Böhning, Rattana Lerdsuwansri and Patarawan Sangnawakij

Biometrics, 2023, vol. 79, issue 4, 3818-3830

Abstract: Contact‐tracing is one of the most effective tools in infectious disease outbreak control. A capture–recapture approach based upon ratio regression is suggested to estimate the completeness of case detection. Ratio regression has been recently developed as flexible tool for count data modeling and has proved to be successful in the capture–recapture setting. The methodology is applied here to Covid‐19 contact tracing data from Thailand. A simple weighted straight line approach is used which includes the Poisson and geometric distribution as special cases. For the case study data of contact tracing for Thailand, a completeness of 83% could be found with a 95% confidence interval of 74%–93%.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:bla:biomet:v:79:y:2023:i:4:p:3818-3830

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