Reconstructing the course of the COVID-19 epidemic over 2020 for US states and counties: Results of a Bayesian evidence synthesis model | Zendy

Melanie H. Chitwood | Zendy; Marcus Russi | Zendy; Kenneth S. Gunasekera | Zendy; Joshua Havumaki | Zendy; Fayette Klaassen | Zendy; Virginia E. Pitzer | Zendy; Joshua A. Salomon | Zendy; Nicole A. Swartwood | Zendy; Joshua L. Warren | Zendy; Daniel M. Weinberger | Zendy; Ted Cohen | Zendy; Nicolas A. Menzies | Zendy

Open Access

Reconstructing the course of the COVID-19 epidemic over 2020 for US states and counties: Results of a Bayesian evidence synthesis model

Author(s) -

Melanie H. Chitwood,

Marcus Russi,

Kenneth S. Gunasekera,

Joshua Havumaki,

Fayette Klaassen,

Virginia E. Pitzer,

Joshua A. Salomon,

Nicole A. Swartwood,

Joshua L. Warren,

Daniel M. Weinberger,

Ted Cohen,

Nicolas A. Menzies

Publication year - 2022

Publication title -

plos computational biology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.628

H-Index - 182

eISSN - 1553-7358

pISSN - 1553-734X

DOI - 10.1371/journal.pcbi.1010465

Subject(s) - covid-19 , incidence (geometry) , transmission (telecommunications) , demography , population , medicine , epidemiology , pandemic , seroprevalence , disease , environmental health , infectious disease (medical specialty) , immunology , mathematics , computer science , geometry , antibody , serology , sociology , telecommunications

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