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World-first maps reveal how long it takes to reach healthcare from anywhere in the globeNew research which maps the entire global population’s travel time to their nearest healthcare facility has revealed major inequalities in access to healthcare depending on whether people have access to motorised transport or not.

News & Events
Census data reveals stark gap in asthma risk for inner and outer city kidsChildren who live in the outer suburbs of Australia’s four biggest cities are twice as likely to have asthma as those living in inner city areas, according to a new study based on health data captured in the last Australian Census.
Research
Neighborhood Places for Preschool Children's Physical Activity: A Mixed-Methods Study Using Global Positioning System, Geographic Information Systems, and Accelerometry DataThis study adds to the current literature by using a novel device-based method to explore where preschool children are physically active outside of home and childcare settings. This study combined accelerometry with geospatial data to explore the influence of the environment on preschool children's physical activity by objectively identifying the locations where preschool children engage in moderate to vigorous physical activity (MVPA) within and outside of their neighborhood.
Research
Mapping fertility rates at national, sub-national, and local levels in Ethiopia between 2000 and 2019Fertility rates are key indicators of population health and demographic change, influencing economic development, healthcare planning, and social policies. Understanding subnational variation in fertility rate is important for effective geographical targeting and policy prioritization. This study aimed to identify geographic variation, trends, and determinants of fertility rates in Ethiopia over the past two decades.
Research
Therapeutic development to accelerate malaria control through intentional intervention layeringThe clinical development of novel vaccines, injectable therapeutics, and oral chemoprevention drugs has the potential to deliver significant advancements in the prevention of Plasmodium falciparum malaria. These innovations could support regions in accelerating malaria control, transforming existing intervention packages by supplementing interventions with imperfect effectiveness or offering an entirely new tool.

News & Events
Survivors of drug-resistant TB face long-term health problems: studyNew research highlights the long-term physical health problems faced by people who survive drug-resistant tuberculosis (TB) .
Research
Comparison of new computational methods for spatial modelling of malariaGeostatistical analysis of health data is increasingly used to model spatial variation in malaria prevalence, burden, and other metrics. Traditional inference methods for geostatistical modelling are notoriously computationally intensive, motivating the development of newer, approximate methods for geostatistical analysis or, more broadly, computational modelling of spatial processes.
Research
Mapping the incidence rate of typhoid fever in sub-Saharan AfricaWith more than 1.2 million illnesses and 29,000 deaths in sub-Saharan Africa in 2017, typhoid fever continues to be a major public health problem. Effective control of the disease would benefit from an understanding of the subnational geospatial distribution of the disease incidence.
Research
Spatiotemporal patterns of influenza in Western AustraliaUnderstanding the geospatial distribution of influenza infection and the risk factors associated with infection clustering can inform targeted preventive interventions. We conducted a geospatial analysis to investigate the spatial patterns and identify drivers of medically attended influenza infection across all age groups in Western Australia.
Research
Predicting immune protection against outcomes of infectious disease from population-level effectiveness data with application to COVID-19Quantifying the extent to which previous infections and vaccinations confer protection against future infection or disease outcomes is critical to managing the transmission and consequences of infectious diseases. We present a general statistical model for predicting the strength of protection conferred by different immunising exposures (numbers, types, and strains of both vaccines and infections), against multiple outcomes of interest, whilst accounting for immune waning.