Publications by authors named "Nicole P M van Lipzig"

Vector-borne diseases, such as malaria, are affected by the rapid urban growth and climate change in sub-Saharan Africa (SSA). In this context, intra-urban malaria risk maps act as a key decision-making tool for targeting malaria control interventions, especially in resource-limited settings. The Demographic and Health Surveys (DHS) provide a consistent malaria data source for mapping malaria risk at the national scale, but their use is limited at the intra-urban scale because survey cluster coordinates are randomly displaced for ethical reasons.

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Article Synopsis
  • Rapid urbanization in Sub-Saharan Africa is leading to increased malaria burden in cities like Kampala and Dar es Salaam, as socio-economic inequalities grow amid the shift of populations from rural to urban areas.
  • This study utilizes high-resolution satellite data and machine learning (Random Forest regressor) to analyze the spatial distribution of malaria prevalence (PfPR) in urban settings, focusing on factors like land use and population density.
  • Findings reveal significant variability in PfPR linked to informal settlements, with higher prevalence near breeding sites and urban agriculture, demonstrating clear risk disparities between poorer and wealthier neighborhoods.
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Weather extremes have harmful impacts on communities around Lake Victoria, where thousands of fishermen die every year because of intense night-time thunderstorms. Yet how these thunderstorms will evolve in a future warmer climate is still unknown. Here we show that Lake Victoria is projected to be a hotspot of future extreme precipitation intensification by using new satellite-based observations, a high-resolution climate projection for the African Great Lakes and coarser-scale ensemble projections.

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Regional climate modeling using convection-permitting models (CPMs; horizontal grid spacing <4 km) emerges as a promising framework to provide more reliable climate information on regional to local scales compared to traditionally used large-scale models (LSMs; horizontal grid spacing >10 km). CPMs no longer rely on convection parameterization schemes, which had been identified as a major source of errors and uncertainties in LSMs. Moreover, CPMs allow for a more accurate representation of surface and orography fields.

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