Last Updated: 11/08/2026

The impact of seasonality and vector control on the population structure of Plasmodium falciparum

Objectives

This project aims to define the population structure of P. falciparum in the context of var gene diversity and explore epidemiological dynamics in this framework.

1. An individual-based, stochastic modelling framework that couples within and between-host transmission and describes the individual-host immunological history of exposure to different var gene repertoires to explore strain dynamics of P. falciparum in relation to age, seasonality and vector intervention.

2. For the first time in Malaria Epidemiology Research, the longitudinal seasonal sampling of entire asymptomatic P. falciparum populations in human communities using deep 454 sequencing of var genes. 

3. The quantitative description of var gene diversity and of var repertoires in wet and dry seasons, as well as across a major vector control Intervention using indoor residual spraying (IRS), in comparison to microsatellite diversity.

Through these objectives, the following questions will be addressed: strain structure despite extensive recombination and driven by immune selection, and competitive interactions between parasites for hosts in the transmission dynamics. In turn, the research team will also ask how this structure and associated parasite diversity influences transmission dynamics.

Principal Investigators / Focal Persons

Mercedes Pascual
Karen Day
Kwadwo Koram

Rationale and Abstract

Transmission dynamics of the Malaria parasite Plasmodium falciparum have been proposed to be largely driven by immune selection to the major surface antigen of the Blood stages known as Erythrocyte Membrane protein 1 (PfEMP1) encoded by up to 60 members of the var multigene family per haploid genome. Emerging population genetic data have revealed that the Malaria Transmission system is remarkably complex necessitating a much deeper molecular sampling of parasite populations and the development of computational approaches that extend previous ‘strain theory’ through the lens of var genetics. A team project has been created that brings together mathematical modellers, epidemiologists, entomologists, bioinformaticians, population geneticists and Malaria epidemiologists from Ghana and the US. The project approach combines both modelling and empirical studies to explore Malaria Transmission dynamics of P. falciparum at the level of local parasite populations in northern Ghana in the context of var genetics. 

Date

Sep 2013 — Aug 2017

Total Project Funding

$1.8M

Country / Project Site(s)

Ghana

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