20 citations · 29 across the 4 of their papers we have counts for
4 papers
Modeling the COVID-19 pandemic: A primer and overview of mathematical epidemiology
Fernando Saldaña, Jorge X Velasco-Hernández
Since the start of the still ongoing COVID-19 pandemic, there have been many modeling efforts to assess several issues of importance to public health. In this work, we review the t…
Modelling epidemics: a perspective on mathematical models and their use in the present SARS-CoV-2 epidemic
Jorge X. Velasco-Hernandez
In this work we look at several mathematical models that have been constructed during the present pandemic to address dfferent issues of importance to public health policies about…
Using posterior predictive distributions to analyse epidemic models: COVID-19 in Mexico City
Ramsés H. Mena, Jorge X. Velasco-Hernandez, Natalia B. Mantilla-Beniers +4
Epidemiological models contain a set of parameters that must be adjusted based on available observations. Once a model has been calibrated, it can be used as a forecasting tool to…
Towards Uncertainty Quantification and Inference in the stochastic SIR Epidemic Model
Marcos A. Capistrán, J. Andrés Christen, Jorge X. Velasco-Hernández
In this paper we introduce a novel method to conduct inference with models defined through a continuous-time Markov process, and we apply these results to a classical stochastic SI…