A general model for the demographic signatures of the transition from pandemic emergence to endemicity
Author(s) -
Ruiyun Li,
C. Jessica E. Metcalf,
Nils Chr. Stenseth,
Ottar N. Bjørnstad
Publication year - 2021
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.abf9040
Subject(s) - pandemic , transition (genetics) , covid-19 , geography , data science , computer science , biology , medicine , genetics , infectious disease (medical specialty) , disease , pathology , gene
A realistic age-structured model predicts plausible scenarios for future Covid-19 burden.
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