Estimating age-specific hazard rates of infection from cross-sectional observations

DOI10.15517/RMTA.V27I1.39952OpenAlexW2996669284MaRDI QIDQ5041963

Zhilan Feng, John W. Glasser

Publication date: 18 October 2022

Published in: Revista de Matemática: Teoría y Aplicaciones (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15517/rmta.v27i1.39952

zbMATH Keywords

parameter estimationepidemiological modelforce of infectioncross-sectional observationsserology data

Mathematics Subject Classification ID

PDEs in connection with biology, chemistry and other natural sciences (35Q92) General biology and biomathematics (92B05) Biology and other natural sciences (92-XX)

Related Items (1)

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

Cites Work

• Mixing in age-structured population models of infectious diseases
• Computation of \(\mathcal R\) in age-structured epidemiological models with maternal and temporary immunity
• Mixing in meta-population models
• Analysis of age-structured pertussis models with multiple infections during a lifetime
• Modeling rates of infection with transient maternal antibodies and waning active immunity: application to \textit{Bordetella pertussis} in Sweden
• The Fourier decomposition method for nonlinear and non-stationary time series analysis

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