Spatial epidemiology
What is Spatial Epidemiology?
Spatial epidemiology investigates the interplay between geographical factors and disease distribution within populations, exploring how location impacts health outcomes. Spatial epidemiology plays a crucial role in society for several reasons:
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Precision in intervention: Identifying specific geographical areas affected by disease allows for targeted interventions and resource allocation.
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Timely disease surveillance: Real-time surveillance supports early detection and rapid response to outbreaks, which is essential for managing pandemics such as COVID-19.
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Informed policy: Governments and organisations rely on spatial epidemiology for evidence-based policies and optimised health services.
Our services: Navigating Health Insights
At Model&Map, we combine geo-located health datasets from governmental organisations and household surveys, with Earth observations and other open source data, using cutting-edge geomatics tools and geostatistics to:
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Predict health outcomes: We build robust predictive models of health outcomes, allowing us to predict these outcomes even in areas where comprehensive data is lacking. This strategy allows us to produce maps of various health variables such as anaemia prevalence, stunting, child mortality, etc.
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Predict disease risk: Using geolocated cases from health facilities or measured prevalence from surveys, we predict the risk of various diseases, including infectious diseases such as malaria and COVID-19. Our approach includes careful validation of models and assessment of uncertainty in predicted disease risk to ensure reliable maps.
Empowering Health Insights Through Spatial Understanding
By fusing geolocated health data with Earth observations we provide predictive insights critical to proactive health strategies.