Analysis of serological surveys of antibodies to SARS-CoV-2 in the United States to estimate parameters needed for transmission modeling and to evaluate and improve the accuracy of predictions
type: Item
instance of: scholarly article
title: Analysis of serological surveys of antibodies to SARS-CoV-2 in the United States to estimate parameters needed for transmission modeling and to evaluate and improve the accuracy of predictions
zbMATH Open document ID: 1504.92079
author: John Glasser
author: Zhilan Feng
author: MyVan Vo
author: Jefferson N. Jones
author: Kristie E. N. Clarke
published in: Journal of Theoretical Biology
publication date: 2022-12-20T00:00:00Z
Mathematics Subject Classification ID: 92C60
zbMATH DE Number: 7635167
zbMATH Keywords: serial
zbMATH Keywords: cross-sectional serosurveys
zbMATH Keywords: SEIR metapopulation modeling
zbMATH Keywords: SARS-CoV-2 transmission
zbMATH Keywords: impact of mitigation measures
zbMATH Keywords: vaccination strategies
MaRDI profile type: Publication
full work available at URL: j.jtbi.2022.111296
OpenAlex ID: W4301401097
cites work: An elaboration of theory about preventing outbreaks in homogeneous populations to include heterogeneity or preferential mixing
cites work: Evaluating targeted interventions via meta-population models with multi-level mixing
cites work: Influence of demographically-realistic mortality schedules on vaccination strategies in age-structured models
cites work: Estimating age-specific hazard rates of infection from cross-sectional observations
cites work: Mixing in meta-population models
cites work: Epidemiological models for heterogeneous populations: Proportionate mixing, parameter estimation, and immunization programs
cites work: Analysis of metapopulation models of the transmission of SARS-CoV-2 in the United States
DOI: 10.1016/J.JTBI.2022.111296
describes a project that uses: GitHub
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description: scientific article; zbMATH DE number 7635167