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Micro-epidemiological structuring of Plasmodium falciparum parasite populations in regions with varying transmission intensities in Africa

Omedo, Irene and Mogeni, Polycarp and Bousema, Teun and Rockett, Kirk and Amambua-Ngwa, Alfred and Oyier, Isabella and C. Stevenson, Jennifer and Y. Baidjoe, Amrish and de Villiers, Etienne P. and Fegan, Greg and Ross, Amanda and Hubbart, Christina and Jeffreys, Anne and N. Williams, Thomas and Kwiatkowski, Dominic and Bejon, Philip. (2017) Micro-epidemiological structuring of Plasmodium falciparum parasite populations in regions with varying transmission intensities in Africa. Wellcome Open Research, 2. p. 10.

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Official URL: http://edoc.unibas.ch/55497/

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Abstract

Background: The first models of malaria transmission assumed a completely mixed and homogeneous population of parasites.  Recent models include spatial heterogeneity and variably mixed populations. However, there are few empiric estimates of parasite mixing with which to parametize such models. Methods: Here we genotype 276 single nucleotide polymorphisms (SNPs) in 5199 P. falciparum isolates from two Kenyan sites and one Gambian site to determine the spatio-temporal extent of parasite mixing, and use Principal Component Analysis (PCA) and linear regression to examine the relationship between genetic relatedness and relatedness in space and time for parasite pairs. Results: We show that there are no discrete geographically restricted parasite sub-populations, but instead we see a diffuse spatio-temporal structure to parasite genotypes.  Genetic relatedness of sample pairs is predicted by relatedness in space and time. Conclusions: Our findings suggest that targeted malaria control will benefit the surrounding community, but unfortunately also that emerging drug resistance will spread rapidly through the population.
Faculties and Departments:09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH)
09 Associated Institutions > Swiss Tropical and Public Health Institute (Swiss TPH) > Department of Epidemiology and Public Health (EPH) > Biostatistics > Bayesian Modelling and Analysis (Vounatsou)
UniBasel Contributors:Ross, Amanda
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:F1000Research
e-ISSN:2398-502X
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:16 Oct 2017 08:50
Deposited On:16 Oct 2017 08:50

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