A forecasting model of disease prevalence based on the McKendrick-von Foerster equation

DOI10.1016/J.MBS.2018.12.017zbMath1425.92123OpenAlexW2908379169WikidataQ90825267 ScholiaQ90825267MaRDI QIDQ2328383

Yanyan Li

Publication date: 10 October 2019

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6916255

zbMATH Keywords

projectionsprevalencemedicarepartitioningtime seriesforecastingLee-Cartertype II diabetes

Mathematics Subject Classification ID

Epidemiology (92D30) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Medical epidemiology (92C60)

Related Items (1)

Decomposition of disparities in life expectancy with applications to administrative health claims and registry data

Cites Work

• Modeling and Forecasting U.S. Mortality
• The McKendrick partial differential equation and its uses in epidemiology and population study
• Theory of partitioning of disease prevalence and mortality in observational data

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