2020/07/17 by Michelle Anzarut, Luis Felipe González, Anzarut, Michelle +5
Economics, Econometrics and Finance · Mathematics · Medicine · #62P10 #Applications (stat.AP) #COVID-19 Impact on Reproduction #COVID-19 Pandemic Impacts #COVID-19 epidemiological studies #FOS: Computer and information sciences #Machine Learning (cs.LG)
paper · pdf · doi:10.48550/arxiv.2007.09117
openalex publication_date 2020/07/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this report we fit a semi-mechanistic Bayesian hierarchical model to describe the Mexican COVID-19 epidemic. We obtain two epidemiological measures: the number of infections and the reproduction number. Estimations are based on death data. Hence, we expect our estimates to be more accurate than the attack rates estimated from the reported number of cases.