To complement existing online tools for open-access data sharing, MAP has released the R package malariaAtlas. malariaAtlas enables users to download, visualise and manipulate global parasite rate survey data and modelled raster outputs within R, a freely available and widely used statistical software environment. Read More
The ease with which people are able to connect with the services, institutions, and individuals supportive of socioeconomic success, good health, and overall wellbeing can ultimately separate communities that thrive from those left behind. Regardless of recent advances in electronic and online communications, inequalities persist in physical access to resources and opportunities that are primarily concentrated in urban centres. Understanding where the largest gaps in accessibility remain is of critical importance to a broad range of policymakers, investors, and development partners. Under the leadership Dr Daniel Weiss, Director of Global Malaria Epidemiology at MAP, we offer a first, crucial step toward tracking exactly where gaps in accessibility remain in 2015 and where the world can collectively address the most fundamental inequalities still experienced today. Read More
Malaria symptoms can often be quite general, overlapping with symptoms of other diseases. Malaria Atlas Project researchers aim to quantify the prevalence of two key symptoms of malaria (fever and anaemia) across Africa, and generate a better understanding of how much malaria contributes to each of these syndromes on the continent. In addition to this, by quantifying symptomatic and asymptomatic illness from malaria, we aim to measure the treatment seeking rate and effective treatment coverage for P. falciparum malaria in Africa.
Many countries are implementing measures to control and eliminate malaria. To maximise the effectiveness, it is vital that planners have access to the best metrics about malaria risk. In collaboration with the Institute of Health Metrics and Evaluation with funding from the Bill and Melinda Gates Foundation, MAP is working to synthesise complex mathematical models to compute available epidemiological data with geostatistical models for large, spatially-structured data sets, in order to more accurately predict malaria risk.
MAP is conducting research into geospatial analysis for malaria risk stratification and intervention targeting. Supported by the Bill and Melinda Gates Foundation, we are working closely with the Clinton Health Access Initiative, National Malaria Control Programs, and other partners to maximize the utility of model outputs for national malaria planning.
Insecticide resistance (IR), particularly pyrethroid resistance in Africa, is increasingly recognised as one of the most important and growing barriers to effective malaria control. A collaboration between the Malaria Atlas Project and the Liverpool School of Tropical Medicine is currently using a cartographic approach to generate data that models patterns of resistance in time and space. Read More
The Malaria Atlas Project curates an extensive collection of cross-sectional cluster-level malaria survey data. The vast majority of these data is available for download as part of our commitment to open access. Read More
There is a wealth of case data from national health systems that is becoming available. Under the leadership of Dr Harry Gibson, the ROAD-MAP team is investing resource in pulling these data together to make a coherent global dataset of reported incidence and deaths at a sub-national level.
GIS polygon data is an essential component for making maps with GIS software such as QGIS, and ArcMAP. MAP has accumulated a large estate of GIS polygon data representing the administrative and health unit boundaries of malaria-endemic countries. Although the permission of use do not allow us to make these data available as a publicly downloadable set, we do provide a list of public sources and are able to share these data with out collaborators. Read More