Geospatial Modelling For Malaria Risk Stratification And Intervention Targeting

Members:

Under the leadership of Director of Malaria Risk Stratification Dr Ewan Cameron, MAP is engaged in a Bill and Melinda Gates Foundation funded project to provide geospatial analysis for malaria risk stratification and intervention targeting. Areas of research include:

Developing of new frameworks for modelling routine malaria surveillance data and integrating other malariometric data
Improving methods for incorporating seasonality and other drivers of risk (vectors, human mobility, intervention coverage)
Generating improved spatial models of intervention coverage and impact
Understanding how patterns of treatment seeking vary within and across countries.

We work closely with the Clinton Health Access Initiative, which supports Dr Katherine Battle, and national malaria control programs in the countries they support, as well as other partner institutions to maximize the utility of model outputs for national malaria control planning.

Projects

Catchment modelling for area-averaged malaria data

Current Project

Project Date: March 15, 2018

Until recently, the limited availability and low quality of routine health care data on the incidence of febrile malaria in low resource settings has meant that the vast majority of risk mapping has relied upon direct observations of parasite prevalence as a proxy for disease burden, particularly those from the large-scale Malaria Indicator Survey program. Under the leadership of Director of Malaria Risk Stratification Dr Ewan Cameron, MAP is developing a statistical framework for simultaneous estimation of malaria risk maps and health facility catchments based on a modified ‘gravity model’. Read More

Semi-mechanistic modelling for serological survey data

Current Project

Project Date: March 8, 2018

As countries near malaria elimination, serological measurements become increasingly important for malaria burden estimation. MAP is working to integrate serological data within our risk mapping framework using novel semi-mechanistic models based.

Current Project

Project Date: December 4, 2017

MAP is conducting research into geospatial analysis for malaria risk stratification and intervention targeting. Supported by the Bill and Melinda Gates Foundation and Clinton Health Access Initiative (CHAI), we work closely with CHAI, national malaria control programs, and other partners to maximize the utility of model outputs for national malaria control planning.

TEAM