English

Estimating COVID-19 cases and reproduction number in Mexico

Applications 2020-07-20 v1 Machine Learning

Abstract

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.

Keywords

Cite

@article{arxiv.2007.09117,
  title  = {Estimating COVID-19 cases and reproduction number in Mexico},
  author = {Michelle Anzarut and Luis Felipe González and Sonia Mendizábal and María Teresa Ortiz},
  journal= {arXiv preprint arXiv:2007.09117},
  year   = {2020}
}