IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v79y2023i4p3818-3830.html
   My bibliography  Save this article

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

Author

Listed:
  • Dankmar Böhning
  • Rattana Lerdsuwansri
  • Patarawan Sangnawakij

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%.

Suggested Citation

  • Dankmar Böhning & Rattana Lerdsuwansri & Patarawan Sangnawakij, 2023. "Modeling COVID‐19 contact‐tracing using the ratio regression capture–recapture approach," Biometrics, The International Biometric Society, vol. 79(4), pages 3818-3830, December.
    • Handle: RePEc:bla:biomet:v:79:y:2023:i:4:p:3818-3830
    DOI: 10.1111/biom.13842
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/biom.13842
    Download Restriction: no
    File URL: https://libkey.io/10.1111/biom.13842?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Anne Chao & John Bunge, 2002. "Estimating the Number of Species in a Stochastic Abundance Model," Biometrics, The International Biometric Society, vol. 58(3), pages 531-539, September.
    2. Dankmar Böhning & Helen E. Ogden, 2021. "General flation models for count data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(2), pages 245-261, February.
    3. Dankmar Böhning & Panicha Kaskasamkul & Peter G. M. Heijden, 2019. "A modification of Chao’s lower bound estimator in the case of one-inflation," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(3), pages 361-384, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:jss:jstsof:40:i09 is not listed on IDEAS
    2. Zhang, Hongmei & Ghosh, Kaushik & Ghosh, Pulak, 2012. "Sampling designs via a multivariate hypergeometric-Dirichlet process model for a multi-species assemblage with unknown heterogeneity," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2562-2573.
    3. Balabdaoui, Fadoua & Kulagina, Yulia, 2020. "Completely monotone distributions: Mixing, approximation and estimation of number of species," Computational Statistics & Data Analysis, Elsevier, vol. 150(C).
    4. Chun-Huo Chiu, 2023. "A Richness Estimator Based on Integrated Data," Mathematics, MDPI, vol. 11(17), pages 1-24, September.
    5. Maria De Angelis & Maria Piccolo & Lucia Vannini & Sonya Siragusa & Andrea De Giacomo & Diana Isabella Serrazzanetti & Fernanda Cristofori & Maria Elisabetta Guerzoni & Marco Gobbetti & Ruggiero Franc, 2013. "Fecal Microbiota and Metabolome of Children with Autism and Pervasive Developmental Disorder Not Otherwise Specified," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    6. David R Blair & Kanix Wang & Svetlozar Nestorov & James A Evans & Andrey Rzhetsky, 2014. "Quantifying the Impact and Extent of Undocumented Biomedical Synonymy," PLOS Computational Biology, Public Library of Science, vol. 10(9), pages 1-17, September.
    7. Dankmar Böhning & Herwig Friedl, 2021. "Population size estimation based upon zero-truncated, one-inflated and sparse count data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(4), pages 1197-1217, October.
    8. Maria De Angelis & Eustacchio Montemurno & Maria Piccolo & Lucia Vannini & Gabriella Lauriero & Valentina Maranzano & Giorgia Gozzi & Diana Serrazanetti & Giuseppe Dalfino & Marco Gobbetti & Loreto Ge, 2014. "Microbiota and Metabolome Associated with Immunoglobulin A Nephropathy (IgAN)," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-15, June.
    9. Chang Xuan Mao & Nan Yang & Jinhua Zhong, 2013. "On Population Size Estimators in the Poisson Mixture Model," Biometrics, The International Biometric Society, vol. 69(3), pages 758-765, September.
    10. Jérôme A. Dupuis & Michel Goulard, 2011. "Estimating Species Richness from Quadrat Sampling Data: A General Approach," Biometrics, The International Biometric Society, vol. 67(4), pages 1489-1497, December.
    11. Semyon K Kolmykov & Yury V Kondrakhin & Ivan S Yevshin & Ruslan N Sharipov & Anna S Ryabova & Fedor A Kolpakov, 2019. "Population size estimation for quality control of ChIP-Seq datasets," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-17, August.
    12. Dankmar Böhning & Ekkehart Dietz & Ronny Kuhnert & Dieter Schön, 2005. "Mixture models for capture-recapture count data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(1), pages 29-43, February.
    13. Xinyue Zhao & Mengjie Zhang & Zhilin Sun & Huabao Zheng & Qifa Zhou, 2023. "Anaerobic Storage Completely Removes Suspected Fungal Pathogens but Increases Antibiotic Resistance Gene Levels in Swine Wastewater High in Sulfonamides," IJERPH, MDPI, vol. 20(4), pages 1-11, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:79:y:2023:i:4:p:3818-3830. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.