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Research
Rift Valley fever seropositivity in humans and domestic ruminants and associated risk factors in Sengerema, Ilala, and Rufiji districts, TanzaniaData on Rift Valley fever virus (RVFV) prevalence in urban settings and pastoral areas of Tanzania are scarce. We performed a cross-sectional study of RVFV seroprevalence and determinants in humans and animals from Ilala, Rufiji, and Sengerema districts of Tanzania.
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A Journey from Wild to Textbook Data to Reproducibly Refresh the Wages Data from the National Longitudinal Survey of Youth DatabaseTextbook data is essential for teaching statistics and data science methods because it is clean, allowing the instructor to focus on methodology. Ideally textbook datasets are refreshed regularly, especially when they are subsets taken from an ongoing data collection.
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A modelling approach to estimate the transmissibility of SARS-CoV 2 during periods of high, low, and zero case incidenceAgainst a backdrop ofwidespread global transmission, a number of countries have successfully brought large outbreaks of COVID-19 under control and maintained near-elimination status. A key element of epidemic response is the tracking of disease transmissibility in near real-time. During major out-breaks, the effective reproduction number can be estimated froma time-series of case, hospitalisation or death counts. In low or zero incidence settings, knowing the potential for the virus to spread is a response priority.
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Spatial codistribution of HIV, tuberculosis and malaria in EthiopiaHIV, tuberculosis (TB) and malaria are the three most important infectious diseases in Ethiopia, and sub-Saharan Africa. Understanding the spatial codistribution of these diseases is critical for designing geographically targeted and integrated disease control programmes. This study investigated the spatial overlap and drivers of HIV, TB and malaria prevalence in Ethiopia.

Our Geospatial Health and Development Team uses cutting-edge technologies to better understand how and why the health and wellbeing of children varies from place to place. We develop innovative geospatial methods that can harness large, complex datasets to pinpoint hotspots of elevated risk, evaluate change through time, and explore underlying drivers.

Research
Modelling the COVID pandemic with the Geographical COVID-19 Model (GEO-COV)Researchers have developed a new model for simulating covid-19 outbreaks in Western Australia.

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Geospatial joint modeling of vector and parasite serology to microstratify malaria transmissionThe World Health Organization identifies a strong surveillance system for malaria and its mosquito vector as an essential pillar of the malaria elimination agenda. Anopheles salivary antibodies are emerging biomarkers of exposure to mosquito bites that potentially overcome sensitivity and logistical constraints of traditional entomological surveys.
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Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018Human immunodeficiency virus and acquired immune deficiency syndrome (HIV/AIDS) is still among the leading causes of disease burden and mortality in sub-Saharan Africa (SSA), and the world is not on track to meet targets set for ending the epidemic by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United Nations Sustainable Development Goals (SDGs).
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The Prevalence of HIV Infection in Minority Indigenous Populations of the South-East Asia and Western Pacific Regions: A Systematic Review and Meta-analysisA random effects meta-analysis was used to estimate the pooled prevalence of HIV infection within minority indigenous populations of the South-East Asia (SEAR) and Western Pacific Regions (WPR). Sub-group analyses were conducted, and the sources of heterogeneity explored through meta-regression. The majority of studies were undertaken in high HIV risk subpopulations.