Estimating the fraction of unreported infections in epidemics with a known epicenter: an application to COVID-19

DOI10.1016/j.jeconom.2020.07.047zbMath1464.62439OpenAlexW4285538578WikidataQ99403124 ScholiaQ99403124MaRDI QIDQ2224904

Ali Hortaçsu, Timothy Schwieg, Jiarui Liu

Publication date: 4 February 2021

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476454

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Mathematical modeling or simulation for problems pertaining to biology (92-10)

Related Items (3)

Pandemic risk management: resources contingency planning and allocation ⋮ Nonparametric estimation of stochastic frontier models with weak separability ⋮ Time varying Markov process with partially observed aggregate data: an application to coronavirus

Cites Work

• Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data

This page was built for publication: Estimating the fraction of unreported infections in epidemics with a known epicenter: an application to COVID-19