Modeling optimal reopening strategies for COVID-19 and its variants by keeping infections low and fixing testing capacity | Zendy

Mackenzie Dalton | Zendy; Paul Dougall | Zendy; Frederick Laud Amoah Darko | Zendy; William Ebo Annan | Zendy; Emmanuel Asante-Asamani | Zendy; Susan M. Bailey | Zendy; James M. Greene | Zendy; Diana White | Zendy

Open Access

Modeling optimal reopening strategies for COVID-19 and its variants by keeping infections low and fixing testing capacity

Author(s) -

Mackenzie Dalton,

Paul Dougall,

Frederick Laud Amoah Darko,

William Ebo Annan,

Emmanuel Asante-Asamani,

Susan M. Bailey,

James M. Greene,

Diana White

Publication year - 2022

Publication title -

plos one

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.99

H-Index - 332

ISSN - 1932-6203

DOI - 10.1371/journal.pone.0274407

Subject(s) - test strategy , transmission (telecommunications) , government (linguistics) , population , covid-19 , psychological intervention , medicine , computer science , outbreak , operations research , risk analysis (engineering) , disease , environmental health , virology , infectious disease (medical specialty) , mathematics , pathology , telecommunications , linguistics , philosophy , software , psychiatry , programming language

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