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 ...

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 ...

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 ...

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 ...

African swine fever (ASF) is one of the most devastating diseases affecting domestic pigs and wild boars worldwide. Since its ...

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 ...

The emergence of microbial diseases poses a significant threat to public health and welfare worldwide. The spread of these diseases can be endemic (continuous occurrence), epidemic (increased ...