KAUST researchers developed a new model integrating SIR compartment modeling in time and a point process modeling approach in space-time, also considering age-specific contact patterns. They used a two-step framework to model infectious locations over time for different age groups. The model demonstrated improved predictive accuracy in simulations and a COVID-19 case study in Cali, Colombia, compared to existing models. Why it matters: This model can assist decision-makers in identifying high-risk locations and vulnerable populations for better disease control strategies in the region and globally.
KAUST alumnus Grant Hill-Cawthorne, who earned a Ph.D. in pathogen genomics in 2013, is now the director of research at the UK Parliament. Hill-Cawthorne's work at KAUST involved establishing the Pathogen Genomics Laboratory with a focus on mass gatherings like Hajj and their influence on disease spread. He also worked with the Saudi Ministry of Health to study respiratory samples from Hajj pilgrims. Why it matters: This highlights KAUST's role in training researchers who go on to influence global health policy and research, particularly in areas relevant to Saudi Arabia's unique context.
Scientists at the Qatar Computing Research Institute (QCRI) have extensively utilized big data and artificial intelligence technologies in the global fight against the COVID-19 pandemic. Their work involved developing tools and methodologies to track disease spread, predict outbreaks, and analyze public sentiment related to health measures. This research aimed to provide data-driven insights to inform public health strategies and decision-making processes. Why it matters: This highlights the significant role of Middle Eastern research institutions in leveraging advanced technologies to address global health crises and contribute to scientific solutions.