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 ...

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 ...

Answering 'how large is our addressable patient pool?' shouldn't take weeks. DelveInsight's DelveEpiAI, an AI-driven epidemiology database, delivers validated, analyst-grade insights instantly, so ...

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 ...

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 ...

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 ...

In 2019, the UN Scientific Committee on the Effects of Atomic Radiation (UNSCEAR), whose mandate is to undertake scientific ...