Epidemiological modelling provides a mathematical and computational framework to elucidate the mechanisms that drive the spread of infectious diseases. Rooted in the seminal work of Kermack and ...

A visual representation of Artificial Intelligence applications in pandemic response, highlighting key areas like epidemiological modelling, vaccine development, healthcare optimization and challenges ...

Background: The propagation of communicable diseases through a population is an inherent spatial and temporal process of great importance for modern society. For this reason a spatially explicit ...

COVIDSafe was only able to detect a handful of cases successfully, but that doesn’t mean Bluetooth isn’t a helpful tool for addressing viral spread. Researchers created an artificial society inside a ...

In a recent study published in The Lancet Regional Health, researchers evaluate the impact of temporal data aggregation on estimating the temperature-mortality relationship in Europe using weekly and ...

Inspired by tensions between health and financial well-being during the COVID-19 pandemic, a new model could significantly improve predictions of how disease will spread by acknowledging the tradeoffs ...

In a significant step forward for global public health, researchers from United Arab Emirates University (UAEU) and the Indian Institute of Technology Madras’ Zanzibar campus have introduced a cutting ...

During the COVID-19 pandemic, Latin American and Caribbean countries implemented stringent public health and social measures that disrupted economic and social activities. This study used an ...