The use of artificial intelligence (AI) to generate automated early warnings in epidemic
surveillance by harnessing vast open-source data with minimal human intervention has the …

Advances in biological sciences have outpaced regulatory and legal frameworks for
biosecurity. Simultaneously, there has been a convergence of scientific disciplines such as …

In this work, we present an open-source stochastic epidemic simulator calibrated with extant
epidemic experience of COVID-19. The simulator models a country as a network …

The COVID-19 pandemic changed our lives, forcing us to reconsider our built environment,
architectural designs, and even behaviours. Multiple stakeholders, including designers …

State space models, including compartmental models, are used to model physical,
biological and social phenomena in a broad range of scientific fields. A common way of …

COVID-19 has led to unprecedented utilization of digital solutions to combat the pandemic.
The purpose of the current article is to present an overview of digital technology adoption to …

Model-driven policymaking for epidemic control is a challenging collaborative process. It
begins when a team of public-health officials, epidemiologists, and economists construct a …

The outbreak of the Coronavirus Disease 2019 (COVID-19) has profoundly influenced daily
life, necessitating the understanding of the relationship between the epidemic's progression …

Introduction The COVID-19 pandemic had devastating effects on health systems globally.
Emerging infectious diseases and pandemics will persist as a global health threat and …

Large-scale, open-source software projects like EMOD offer a new approach to
epidemiological modeling. Built by a team of professional software developers, EMOD offers …