ArticleInternational journal of health geographics2020
Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators.
Article in International journal of health geographics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Elevated HMGB1 Levels in Neonates With Bronchopulmonary Dysplasia: A Systematic Review and Meta-Analysis.Canadian respiratory journal · 2026Pooled it
- Malaria at the margins: climatic extremes, migration, and urban informal settlement risk in South Africa.Malaria journal · 2026Article
- Spatio-temporal modelling of COVID-19 infection and associated risk factors in Dakar, Senegal.PLOS global public health · 2026Article
- Knowledge, attitudes, practices and determinants of mosquito repellent use for malaria prevention in Nangabo Ward, Wakiso District, Uganda.Malaria journal · 2025Article
- Integrating vulnerability and hazard in malaria risk mapping: the elimination context of Senegal.BMC infectious diseases · 2025Article
- Urban malaria in sub-Saharan Africa: a scoping review of epidemiologic studies.Malaria journal · 2025Article
- Spatial interpolation of health and demographic variables: Predicting malaria indicators with and without covariates.PloS one · 2025Article
- Bayesian spatio-temporal modelling of environmental, climatic, and socio-economic influences on malaria in Central Vietnam.Malaria journal · 2024Article
- Exploring the genetic progression of MDR1 inCurrent research in microbial sciences · 2024Article
- Spatial Optimization Methods for Malaria Risk Mapping in Sub-Saharan African Cities Using Demographic and Health Surveys.GeoHealth · 2023Article
- Description of the design of a mixed-methods study to assess the burden and determinants of malaria transmission for tailoring of interventions (microstratification) in Ibadan and Kano metropolis.Malaria journal · 2023Article
- Fine-scale mapping of urban malaria exposure under data scarcity: an approach centred on vector ecology.Malaria journal · 2023Article
- Can we use local climate zones for predicting malaria prevalence across sub-Saharan African cities?Environmental research letters : ERL [Web site] · 2020Article
Corrections and comments
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Authors and funding
15 authors at 8 institutions in 6 countries.
Funding
Abstract
backgroundThe rapid and often uncontrolled rural-urban migration in Sub-Saharan Africa is transforming urban landscapes expected to provide shelter for more than 50% of Africa's population by 2030. Consequently, the burden of malaria is increasingly affecting the urban population, while socio-economic inequalities within the urban settings are intensified. Few studies, relying mostly on moderate to high resolution datasets and standard predictive variables such as building and vegetation density, have tackled the topic of modeling intra-urban malaria at the city extent. In this research, we investigate the contribution of very-high-resolution satellite-derived land-use, land-cover and population information for modeling the spatial distribution of urban malaria prevalence across large spatial extents. As case studies, we apply our methods to two Sub-Saharan African cities, Kampala and Dar es Salaam.
methodsOpenly accessible land-cover, land-use, population and OpenStreetMap data were employed to spatially model Plasmodium falciparum parasite rate standardized to the age group 2-10 years (PfPR
resultsThe results suggest that the spatial distribution of PfPR
conclusionsThe outcome of this research highlights that populations living in informal settlements show higher malaria prevalence compared to those in planned residential neighborhoods. This is due to (i) increased human exposure to vectors, (ii) increased vector density and (iii) a reduced capacity to cope with malaria burden. Since informal settlements are rapidly expanding every year and often house large parts of the urban population, this emphasizes the need for systematic and consistent malaria surveys in such areas. Finally, this study demonstrates the importance of remote sensing as an epidemiological tool for mapping urban malaria variations at large spatial extents, and for promoting evidence-based policy making and control efforts.
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