ArticleSocial science & medicine (1982)2015
The geography of malaria genetics in the Democratic Republic of Congo: A complex and fragmented landscape.
Article in Social science & medicine (1982), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Imported malaria predominates in near-elimination settings in Southwestern Uganda.medRxiv : the preprint server for health sciences · 2026Article
- Imported malaria predominates in near-elimination settings in Southwestern Uganda.PLOS global public health · 2026Article
- Malaria vaccine-related adverse events among children under 5 in sub-Saharan Africa: systematic review and meta-analysis protocol.BMJ open · 2023Article
- Modeling impact and cost-effectiveness of driving-Y gene drives for malaria elimination in the Democratic Republic of the Congo.Evolutionary applications · 2022Article
- A Scoping Review of Spatial Analysis Approaches Using Health Survey Data in Sub-Saharan Africa.International journal of environmental research and public health · 2020Article
- Detecting geospatial patterns of Plasmodium falciparum parasite migration in Cambodia using optimized estimated effective migration surfaces.International journal of health geographics · 2020Article
- High-resolution micro-epidemiology of parasite spatial and temporal dynamics in a high malaria transmission setting in Kenya.Nature communications · 2019Article
- The changing landscape of Plasmodium falciparum drug resistance in the Democratic Republic of Congo.BMC infectious diseases · 2019Article
- Pathogens in space: Advancing understanding of pathogen dynamics and disease ecology through landscape genetics.Evolutionary applications · 2018Review
- Drug-Resistance and Population Structure of Plasmodium falciparum Across the Democratic Republic of Congo Using High-Throughput Molecular Inversion Probes.The Journal of infectious diseases · 2018Article
- Plasmodium falciparum genetic variation of var2csa in the Democratic Republic of the Congo.Malaria journal · 2018Article
- A deep sequencing approach to estimate Plasmodium falciparum complexity of infection (COI) and explore apical membrane antigen 1 diversity.Malaria journal · 2017Article
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12 authors.
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Abstract
Understanding how malaria parasites move between populations is important, particularly given the potential for malaria to be reintroduced into areas where it was previously eliminated. We examine the distribution of malaria genetics across seven sites within the Democratic Republic of Congo (DRC) and two nearby countries, Ghana and Kenya, in order to understand how the relatedness of malaria parasites varies across space, and whether there are barriers to the flow of malaria parasites within the DRC or across borders. Parasite DNA was retrieved from dried blood spots from 7 Demographic and Health Survey sample clusters in the DRC. Malaria genetic characteristics of parasites from Ghana and Kenya were also obtained. For each of 9 geographic sites (7 DRC, 1 Ghana and 1 Kenya), a pair-wise RST statistic was calculated, indicating the genetic distance between malaria parasites found in those locations. Mapping genetics across the spatial extent of the study area indicates a complex genetic landscape, where relatedness between two proximal sites may be relatively high (RST > 0.64) or low (RST < 0.05), and where distal sites also exhibit both high and low genetic similarity. Mantel's tests suggest that malaria genetics differ as geographic distances increase. Principal Coordinate Analysis suggests that genetically related samples are not co-located. Barrier analysis reveals no significant barriers to gene flow between locations. Malaria genetics in the DRC have a complex and fragmented landscape. Limited exchange of genes across space is reflected in greater genetic distance between malaria parasites isolated at greater geographic distances. There is, however, evidence for close genetic ties between distally located sample locations, indicating that movement of malaria parasites and flow of genes is being driven by factors other than distance decay. This research demonstrates the contributions that spatial disease ecology and landscape genetics can make to understanding the evolutionary dynamics of infectious diseases.
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