In this paper, we have considered a deterministic epidemic model with logistic growth rate of
the susceptible population, non-monotone incidence rate, nonlinear treatment function with …

The COVID-19 pandemic has been widely spread and affected millions of people and
caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID …

This work presents a tool for forecasting the spread of the new coronavirus in Mexico City,
which is based on a mathematical model with a metapopulation structure that uses Bayesian …

Contacts between individuals are key for the spread of infectious disease. Although
essential to understanding disease spread, contact rates are difficult to predict, based simply …

Bacterial plasmids play a fundamental role in antibiotic resistance. However, a lack of
knowledge about their biology is an obstacle in fully understanding the mechanisms and …

Coccidiosis is an infectious disease caused by the Eimeria species. The species can infect a
bird's digestive system, severely slow down its growth, and is a serious economic burden for …

Most studies modeling population mobility and the spread of infectious diseases, particularly
those using meta-population multi-patch models, tend to focus on the theoretical properties …

In this study, we address the problem of fitting a mathematical model to the human
immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) data. We …

Chronic wasting disease (CWD) is an emerging prion disease in Canada that infects mule
deer, white-tailed deer, elk, and moose by direct and environmental transmission and is …

We address the estimation of the effective reproductive number R t based on serological
data using Bayesian inference. We also explore the Bayesian learning paradigm to estimate …