Quantifying heterogeneity in SARS-CoV-2 transmission during the lockdown in India
Author(s) -
Nimalan Arinaminpathy,
Jishnu Das,
Tyler H. McCormick,
Partha Mukhopadhyay,
Neelanjan Sircar
Publication year - 2021
Publication title -
epidemics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.023
H-Index - 41
eISSN - 1755-4365
pISSN - 1878-0067
DOI - 10.1016/j.epidem.2021.100477
Subject(s) - contact tracing , transmission (telecommunications) , covid-19 , transmission rate , disease transmission , biology , spatial heterogeneity , geography , virology , disease , infectious disease (medical specialty) , medicine , computer science , ecology , telecommunications , pathology
Highlights• India’s first wave of COVID-19 in 2020 showed wide variation in the number of secondary infections per index case. • This variation arises from variation both in the number of contacts per index case, and the risk of infection per contact. • Transmission models capturing these factors separately can yield different dynamics to conventional approaches. • Understanding these variations can help design more efficient approaches for contact tracing, for use in outbreak response.
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