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Using parasite population genomics to improve understanding of malaria epidemiology (360G-Wellcome-204911_Z_16_Z)

<p>This collaborative project will use genomic approaches to characterise demographic flux and evolutionary trends in the malaria parasite population.&nbsp; Using novel methods for parasite genome sequencing that are suitable for large-scale field applications, we will perform longitudinal studies of parasite population genomics at multiple locations with different transmission intensities in Africa and Southeast Asia, and we will examine the clinical and epidemiological correlates of population genomic variables under a range of ecological settings.&nbsp; We will develop statistical and computational approaches to use longitudinally sampled genome sequencing data to construct spatial maps of parasite demography and examine how this changes over time. We will promote collaboration between experts on population genomics, geospatial mapping and mathematical modelling to use these data to inform and improve epidemiological models of malaria transmission. &nbsp;Our overarching goal is to establish the practical and analytical foundations to use parasite genome sequencing to investigate the causes of epidemiological events such as resurgence and emerging drug resistance, and thus to assist in planning effective interventions.&nbsp;</p>


30 Nov 2016

Grant details
Amount Awarded 3989275
Applicant Surname Kwiatkowski
Approval Committee Science Interview Panel
Award Date 2016-11-30T00:00:00+00:00
Financial Year 2016/17
Grant Programme: Title Collaborative Award in Science
Internal ID 204911/Z/16/Z
Lead Applicant Prof Dominic Kwiatkowski
Other Applicant(s) Dr Abdoulaye Djimde, Prof Peter Gething, Prof Philip Bejon, Prof Gil McVean, Dr Mara Lawniczak, Prof Arjen Dondorp
Planned Dates: End Date 2020-10-01T00:00:00+00:00
Planned Dates: Start Date 2017-04-01T00:00:00+00:00
Recipient Org: Country United Kingdom
Region South East
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