Comparative assessment of parameter estimation methods in the presence of overdispersion: a simulation study

DOI10.3934/mbe.2019214zbMath1497.92298OpenAlexW2944910877WikidataQ93200411 ScholiaQ93200411MaRDI QIDQ2160776

Ruiyan Luo, Kimberlyn Roosa, Gerardo Chowell

Publication date: 3 August 2022

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

Full work available at URL: https://doi.org/10.3934/mbe.2019214

zbMATH Keywords

parameter estimationoverdispersionparameter uncertaintyphenomenological modelsepidemiological modelsgeneralized growth model

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Inference of the generalized-growth model via maximum likelihood estimation: a reflection on the impact of overdispersion ⋮ Sub-epidemic model forecasts during the first wave of the COVID-19 pandemic in the USA and European hotspots

Cites Work

• On the definition and the computation of the basic reproduction ratio \(R_ 0\) in models for infectious diseases in heterogeneous populations
• Tutorial on maximum likelihood estimation
• Quantitative Methods for Investigating Infectious Disease Outbreaks

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