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1 Ergebnisse
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A statistical framework for tracking the time-varying super..:
Zihao Guo
;
Shi Zhao
;
Shui Shan Lee
...
http://www.sciencedirect.com/science/article/pii/S1755436523000063. , 2023
Link:
https://doi.org/10.1016/j.epidem.2023.100670
RT Journal T1 <Title>A statistical framework for tracking the time-varying superspreading potential of COVID-19 epidemic</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:cb924ae7a339498095c226139a3e0bfd&Exemplar=1&LAN=DE A1 Zihao Guo A1 Shi Zhao A1 Shui Shan Lee A1 Chi Tim Hung A1 Ngai Sze Wong A1 Tsz Yu Chow A1 Carrie Ho Kwan Yam A1 Maggie Haitian Wang A1 Jingxuan Wang A1 Ka Chun Chong A1 Eng Kiong Yeoh PB Elsevier YR 2023 K1 COVID-19 K1 SARS-CoV-2 K1 Superspreading K1 Transmission heterogeneity K1 Infectious and parasitic diseases K1 RC109-216 JF http://www.sciencedirect.com/science/article/pii/S1755436523000063 LK http://dx.doi.org/https://doi.org/10.1016/j.epidem.2023.100670 DO https://doi.org/10.1016/j.epidem.2023.100670 SF ELIB - SuUB Bremen
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