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Meta-Analysis
. 2021 Feb;54(1):89-92.
doi: 10.1016/j.jmii.2020.06.003. Epub 2020 Jun 11.

Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan

Affiliations
Meta-Analysis

Estimation of the secondary attack rate of COVID-19 using proportional meta-analysis of nationwide contact tracing data in Taiwan

Yen-Ta Huang et al. J Microbiol Immunol Infect. 2021 Feb.

Abstract

Crude secondary attack rate (SAR) of COVID-19 in Taiwan was 0.84% using nationwide contact-tracing data till April 8, 2020. The random-effect Bayesian metaanalysis yielded 95% credible intervals of 0.42%-1.69% and 0.08%-8.32%, respectively, for estimated SAR pooling from 15 case series and for predicted SAR in the future if pandemic continues.

Keywords: Bayesian; COVID-19; Meta-analysis; Pandemic; Secondary attack rate.

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Conflict of interest statement

Declaration of Competing Interest None.

Figures

Figure 1
Figure 1
Results of meta-analysis for estimation of secondary attack rate (SAR) of coronavirus disease 2019 (COVID-19) using nationwide contact tracing data in Taiwan. The result from the random effect of Bayesian model is presented. This analysis included data during the period from January 21st, 2020 to April 8th, 2020 were obtained from Taiwan Centers for Disease Control. Event (s), secondary confirmed cases after close contact with primary confirmed cases; total, all contact tracing cases who exposed to primary confirmed cases; CrI, credible interval. Details of the close contact environments for each case of group are listed in Table 1.

References

    1. Liu Y., Eggo R.M., Kucharski A.J. Secondary attack rate and superspreading events for SARS-CoV-2. Lancet. 2020;395:e47. doi: 10.1016/S0140-6736(20)30462-1. - DOI - PMC - PubMed
    1. Sun W.W., Ling F., Pan J.R., Cai J., Miao Z.P., Liu S.L. Epidemiological characteristics of 2019 novel coronavirus family clustering in Zhejiang Province. Zhonghua Yufang Yixue Zazhi. 2020;54:E027. doi: 10.3760/cma.j.cn112150-20200227-00199. - DOI - PubMed
    1. Burke R.M., Midgley C.M., Dratch A., Fenstersheib M., Haupt T., Holshue M. Active monitoring of persons exposed to patients with confirmed COVID-19 - United States, January-February 2020. MMWR Morb Mortal Wkly Rep. 2020;69:245–246. doi: 10.15585/mmwr.mm6909e1. - DOI - PMC - PubMed
    1. COVID-19 National Emergency Response Center Epidemiology and case management team, Korea centers for disease control and prevention. coronavirus disease-19: summary of 2,370 contact investigations of the first 30 cases in the Republic of Korea. Osong Public Health Res Perspect. 2020;11:81–84. doi: 10.24171/j.phrp.2020.11.2.04. - DOI - PMC - PubMed
    1. Murad M.H., Sultan S., Haffar S., Bazerbachi F. Methodological quality and synthesis of case series and case reports. BMJ Evid Based Med. 2018;23:60–63. doi: 10.1136/bmjebm-2017-110853. - DOI - PMC - PubMed

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