This article looks at donors’ ability to target the highest exposure to malaria risk when information in a given health context is fragmented. The case study examined in this analysis focuses on malaria transmission caused by mining activities in the Democratic Republic of Congo, as well as on financial and epidemiological data from health facilities. This exercise seeks to estimate how local aid is matching the local malaria burden. Using fine-grained data on mines and health infrastructure, no evidence was found that local populations exposed to the highest risk of malaria transmission receive a proportionately higher share of aid compared to neighbouring areas with reduced exposure to malaria risk.
Clémence Lehec
Nils Redeker
Philippe Le Billon, Mary Menton, José Aylwin, Peter Bille Larsen, Jörg Balsiger, David Boyd, Michel Forst, Fran Lambrick, Claudelice Santos, Hannah Storey, Susan Wilding
Solen Le Clec’h, Nicolas Jégou, Xavier Arnauld de Sartre, Thibaud Decaens, Simon Dufour, Michel Grimaldi, Johan Oszwald
Dr Roxana Radu
Christelle Molima
Sebastian Klotz
Christoph Vogel
Dr Marco Martini
Swiss Network for
International Studies