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

© 2023 The Authors. Biometrics published by Wiley Periodicals LLC on behalf of International Biometric Society..

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%.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:79

Enthalten in:

Biometrics - 79(2023), 4 vom: 19. Dez., Seite 3818-3830

Sprache:

Englisch

Beteiligte Personen:

Böhning, Dankmar [VerfasserIn]
Lerdsuwansri, Rattana [VerfasserIn]
Sangnawakij, Patarawan [VerfasserIn]

Links:

Volltext

Themen:

Contact tracing
Count distribution modeling
Covid-19 transmission in Thailand
Journal Article
Ratio regression
Research Support, Non-U.S. Gov't
Zero-truncation

Anmerkungen:

Date Completed 21.12.2023

Date Revised 01.02.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1111/biom.13842

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM353023124