Tag: epidemiological modeling

A machine learning analysis across 645 municipalities in São Paulo State found that public healthcare facilities are the strongest predictor ...

A nationwide ecological study in Mexico revealed that apparent correlations between dengue and COVID-19 surveillance records vanish after adjusting for ...

A dynamic surveillance framework integrating Gittins allocation and Empirical Bayes improved imported infectious disease detection rates over standard screening in ...

A two-group SEIQR model with heterogeneous behavior reveals that transmission among low-risk individuals can dominate epidemic potential and reshape the ...

Researchers have trained a two-hidden-layer neural network with Levenberg–Marquardt backpropagation to accurately approximate the trajectories of a nonlinear mathematical model ...

A renewal-model analysis of 122 countries shows that population mobility strongly tracked SARS-CoV-2 transmission in many high-income settings but not ...

Over the past two decades, the parasitic infection caused by Ascaris lumbricoides has persisted as a significant public health challenge ...

The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil ...