Deep learning and machine learning techniques present unmatched opportunities to
improve healthcare in sub-Saharan Africa (SSA). However, there is a paucity of literature on …

Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …

Policymakers everywhere are working to determine the set of restrictions that will effectively
contain the spread of COVID-19 without excessively stifling economic activity. We show that …

Behavioral epidemic models incorporating endogenous societal risk-response, where
changes in risk perceptions prompt adjustments in contact rates, are crucial for predicting …

Motivation The control of the diffusion of diseases is a critical subject of a broad research
area, which involves both clinical and political aspects. It makes wide use of computational …

The increasing pressures of urban development and agricultural expansion have significant
implications for land use and land cover (LULC) dynamics, particularly in ecologically …

The emergence of the SARS-CoV-2 virus and new viral variations with higher transmission
and mortality rates have highlighted the urgency to accelerate vaccination to mitigate the …

We conducted a comparative study of the COVID-19 epidemic in three different settings:
mainland China, the Guangdong province of China and South Korea, by formulating two …

The COVID-19 pandemic brought mathematical modelling into the spotlight, as scientists
rushed to use data to understand transmission patterns and disease severity, and to …

The COVID-19 virus's high transmissibility has resulted in the virus's rapid spread
throughout the world, which has brought several repercussions, ranging from a lack of …