ArticleScientific reports2022
Plasmodium falciparum genomic surveillance reveals spatial and temporal trends, association of genetic and physical distance, and household clustering.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 32 citations in OpenAlex.
- Integrating genomic and spatial analyses to describe tuberculosis transmission: a scoping review.The Lancet. Microbe · 2025Article
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- Two Mosquito Salivary Antigens Demonstrate Promise as Biomarkers of Recent Exposure to Plasmodium falciparum-Infected Mosquito Bites.The Journal of infectious diseases · 2025Article
- Bridging the Gap from Molecular Surveillance to Programmatic Decisions for Malaria Control and Elimination.The American journal of tropical medicine and hygiene · 2025Review
- Article
- Towards integrated malaria molecular surveillance in Africa.Trends in parasitology · 2024Review
- Two mosquito salivary antigens demonstrate promise as biomarkers of recent exposure tomedRxiv : the preprint server for health sciences · 2024Article
- Role of seasonal importation and genetic drift on selection for drug-resistant genotypes ofJournal of the Royal Society, Interface · 2024Article
- Investigating the etiologies of non-malarial febrile illness in Senegal using metagenomic sequencing.Nature communications · 2024Article
- Malaria risk stratification in Lao PDR guides program planning in an elimination setting.Scientific reports · 2024Article
- Comparing newly developed SNP barcode panels with microsatellites to explore population genetics of malaria parasites in the Peruvian Amazon.Frontiers in genetics · 2024Article
- Malaria surveillance reveals parasite relatedness, signatures of selection, and correlates of transmission across Senegal.Nature communications · 2023Article
- Sampling for malaria molecular surveillance.Trends in parasitology · 2023Review
- Role of Seasonal Importation and Random Genetic Drift on Selection for Drug-Resistant Genotypes ofbioRxiv : the preprint server for biology · 2023Article
- Reduced incidence of respiratory, gastrointestinal and malaria infections among children during the COVID-19 pandemic in Western Kenya: An analysis of facility-based and weekly diaries data.Journal of global health · 2023Article
- Temporal and spatial analysis of Plasmodium falciparum genomics reveals patterns of parasite connectivity in a low-transmission district in Southern Province, Zambia.Malaria journal · 2023Article
- Genetic Diversity of Merozoite Surface Protein-1 and -2 Genes inJournal of parasitology research · 2022Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
Molecular epidemiology using genomic data can help identify relationships between malaria parasite population structure, malaria transmission intensity, and ultimately help generate actionable data to assess the effectiveness of malaria control strategies. Genomic data, coupled with geographic information systems data, can further identify clusters or hotspots of malaria transmission, parasite genetic and spatial connectivity, and parasite movement by human or mosquito mobility over time and space. In this study, we performed longitudinal genomic surveillance in a cohort of 70 participants over four years from different neighborhoods and households in Thiès, Senegal-a region of exceptionally low malaria transmission (entomological inoculation rate less than 1). Genetic identity (identity by state, IBS) was established using a 24-single nucleotide polymorphism molecular barcode, identity by descent was calculated from whole genome sequence data, and a hierarchical Bayesian regression model was used to establish genetic and spatial relationships. Our results show clustering of genetically similar parasites within households and a decline in genetic similarity of parasites with increasing distance. One household showed extremely high diversity and warrants further investigation as to the source of these diverse genetic types. This study illustrates the utility of genomic data with traditional epidemiological approaches for surveillance and detection of trends and patterns in malaria transmission not only by neighborhood but also by household. This approach can be implemented regionally and countrywide to strengthen and support malaria control and elimination efforts.
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