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Dining-Out Behavior as a Proxy for the Superspreading Potential of SARS-CoV-2 Infections: Modeling Analysis

Dining-Out Behavior as a Proxy for the Superspreading Potential of SARS-CoV-2 Infections: Modeling Analysis

Proxies of driving and walking were retrieved from Apple mobility trends. b Rt: time-varying reproduction number. ck: dispersion parameter of superspreading potential. dr: Pearson correlation coefficient. eΔR-sq: difference in R-squares between a full model and the model without the proxy. Relative contributions of the mobility proxies in predicting dispersion parameter (k) and time-varying reproduction number (Rt).

Ka Chun Chong, Kehang Li, Zihao Guo, Katherine Min Jia, Eman Yee Man Leung, Shi Zhao, Chi Tim Hung, Carrie Ho Kwan Yam, Tsz Yu Chow, Dong Dong, Huwen Wang, Yuchen Wei, Eng Kiong Yeoh

JMIR Public Health Surveill 2023;9:e44251

Characterization of Unlinked Cases of COVID-19 and Implications for Contact Tracing Measures: Retrospective Analysis of Surveillance Data

Characterization of Unlinked Cases of COVID-19 and Implications for Contact Tracing Measures: Retrospective Analysis of Surveillance Data

Compared with other distributions, such as Poisson distribution, the dispersed distributional assumption can account for transmission heterogeneity via specification of the dispersion parameter (k) and effective reproductive number (R), which have been found to be more rigorous for modeling the offspring distribution when epidemics are characterized by superspreading events [15,16].

Ka Chun Chong, Katherine Jia, Shui Shan Lee, Chi Tim Hung, Ngai Sze Wong, Francisco Tsz Tsun Lai, Nancy Chau, Carrie Ho Kwan Yam, Tsz Yu Chow, Yuchen Wei, Zihao Guo, Eng Kiong Yeoh

JMIR Public Health Surveill 2021;7(11):e30968