Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

<ns4:p><ns4:bold>Background. </ns4:bold>Malaria control, and finally malaria elimination, requires the identification and targeting of residual foci or hotspots of transmission. However, the level of parasite mixing within and between geographical locations is likely to impact the effectiveness and durability of control interventions and thus should be taken into consideration when developing control programs.</ns4:p><ns4:p> <ns4:bold>Methods. </ns4:bold>In order to determine the geographic-genetic patterns of <ns4:italic>Plasmodium falciparum</ns4:italic> parasite populations at a sub-national level in Kenya, we used the Sequenom platform to genotype 111 genome-wide distributed single nucleotide polymorphic (SNP) positions in 2486 isolates collected from children in 95 primary schools in western Kenya. We analysed these parasite genotypes for genetic structure using principal component analysis and assessed local and global clustering using statistical measures of spatial autocorrelation. We further examined the region for spatial barriers to parasite movement as well as directionality in the patterns of parasite movement.</ns4:p><ns4:p> <ns4:bold>Results. </ns4:bold>We found no evidence of population structure and little evidence of spatial autocorrelation of parasite genotypes (correlation coefficients &lt;0.03 among parasite pairs in distance classes of 1km, 2km and 5km; p value&lt;0.01). An analysis of the geographical distribution of allele frequencies showed weak evidence of variation in distribution of alleles, with clusters representing a higher than expected number of samples with the major allele being identified for 5 SNPs. Furthermore, we found no evidence of the existence of spatial barriers to parasite movement within the region, but observed directional movement of parasites among schools in two separate sections of the region studied.</ns4:p><ns4:p> <ns4:bold>Conclusions.</ns4:bold> Our findings illustrate a pattern of high parasite mixing within the study region. If this mixing is due to rapid gene flow, then “one-off” targeted interventions may not be currently effective at the sub-national scale in Western Kenya, due to the high parasite movement that is likely to lead to re-introduction of infection from surrounding regions. However repeated targeted interventions may reduce transmission in the surrounding regions.</ns4:p>

Original publication




Journal article


Wellcome Open Research


F1000 Research Ltd

Publication Date





29 - 29