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A Maximum Entropy Model of the Distribution of Dengue Serotype in MexicoPathogen strain diversity is an important driver of the trajectory of epidemics. The role of bioclimatic factors on the spatial distribution of dengue virus serotypes has, however, not been previously studied. Hence, we developed municipality-scale environmental suitability maps for the four dengue virus serotypes using maximum entropy modeling.
Research
Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum and Plasmodium vivax malaria, 2000-22: a spatial and temporal modelling studyMalaria remains a leading cause of illness and death globally, with countries in sub-Saharan Africa bearing a disproportionate burden. Global high-resolution maps of malaria prevalence, incidence, and mortality are crucial for tracking spatially heterogeneous progress against the disease and to inform strategic malaria control efforts. We present the latest such maps, the first since 2019, which cover the years 2000–22. The maps are accompanied by administrative-level summaries and include estimated COVID-19 pandemic-related impacts on malaria burden.
Research
Replicating hypergraph disease dynamics with lower-order interactionsDisease spreading models such as the ubiquitous SIS compartmental model and its numerous variants are widely used to understand and predict the behavior of a given epidemic or information diffusion process. A common approach to imbue more realism to the spreading process is to constrain simulations to a network structure, where connected nodes update their disease state based on pairwise interactions along the edges of their local neighborhood.
Research
The ecological determinants of severe dengue: A Bayesian inferential modelLow socioeconomic status (SES), high temperature, and increasing rainfall patterns are associated with increased dengue case counts. However, the effect of climatic variables on individual dengue virus (DENV) serotypes and the extent to which serotype count affects the rate of severe dengue in Mexico have not been studied before.
People
Rubini JayaseelenRubini joined the Malaria Atlas Project, as part of the Geospatial Health and Development team as Research Assistant in May 2024.
News & Events
Big data to help understand why four out of five kids no longer walk or ride to schoolResearchers will use cutting edge big data and geospatial modelling techniques to tackle the dramatic decline in the number of West Australian children walking or riding to school.
Nearly 170 years ago a British doctor applied geospatial mapping to identify the source of a cholera outbreak in central London.
On this Research Impact page, we showcase real game-changers - research that changes the very way other scientists around the world think and approach challenges. The far-reaching impact on children and families for all the stories shown on these pages is both exciting and significant.