A malaria testing station

Encompassing temporally dynamic and spatially explicit mechanistic modelling of malaria transmission and burden. This includes: the development of new spatial mapping techniques; capturing the impact of control measures aimed towards elimination and burden reduction to guide broader strategic global control efforts; better understanding key epidemiological phenomena such as the role of parasite and mosquito biology; pathways to pathogenesis in children and pregnant women; and how best to measure sub-patent infections and the infectious reservoir.

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Transmission models

A core aspect of our research involves the use of mathematical models to guide the broader strategic direction behind worldwide elimination as well as to inform national and local policy in countries aiming to eliminate malaria.

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Malaria in pregnancy

Malaria in pregnancy is associated with a range of negative pregnancy and birth outcomes including anaemia, pre-term delivery and low birthweight and remains a substantial and often overlooked contributor to global malaria burden.

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Spatial mapping

Infectious disease mapping provides a powerful synthesis of evidence in an effective, visually condensed form. Our research focuses on the development of new mapping approaches, and how these can be used to the evaluate transmission trends.

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Elimination

As an area approaches local elimination it becomes increasingly difficult to measure malaria accurately. We are developing new epidemiological tools to allow countries to quantify their current level of transmission from routine surveillance data.

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Department of Infectious Disease Epidemiology
MRC Centre for Global Infectious Disease Analysis