  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.
