Age-dependent effects in the transmission and control of COVID-19 epidemics
By N. Davies, P. Klepac, Yang Liu, Kiesha Prem, Mark Jit, Carl A. B. Pearson, B. Quilty, A. Kucharski, H. Gibbs, S. Clifford and 16 more. Nature Medicine, 2020
1,723 citations recorded by the source corpus.
Subfields: Clinical Psychology, Infectious Diseases, Modeling and Simulation
View Paper: https://www.semanticscholar.org/paper/ddfa319e43d153ad2cd7e5e17570ffd79fff880a
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In Infectious Diseases
In Modeling and Simulation
Citations in the corpus
- Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study (2020, neutral): “16,17 Briefly, all individuals in the model start as susceptible to SARS-CoV-2 infection, and enter the exposed state upon effective contact with an infectious person.”
- Model-informed COVID-19 vaccine prioritization strategies by age and serostatus (2021, neutral): “Age-stratified susceptibility values were drawn from literature estimates ( 13 ).”
- SARS-CoV-2 (COVID-19) by the numbers (2020, background): “Leading modeling efforts assume that asymptomatic infections are anywhere between 10-80% as contagious as symptomatic ones (Ferretti et al. 2020, Davies et al. 2020).”
- Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England (2021, background): “The model assumes that individuals with clinical symptoms are more infectious than individuals with subclinical infection (19).”