Predicting changing malaria risk after expanded insecticide-treated net coverage in Africa

David L. Smith, Simon I. Hay, Abdisalan M. Noor, Robert W. Snow

Research output: Contribution to journalArticlepeer-review

72 Scopus citations


The Roll Back Malaria (RBM) partnership has established goals for protecting vulnerable populations with locally appropriate vector control. In many places, these goals will be achieved by the mass distribution of insecticide treated bednets (ITNs). Mathematical models can forecast an ITN-driven realignment of malaria endemicity, defined by the Plasmodium falciparum parasite rate (PfPR) in children, to predict PfPR endpoints and appropriate program timelines for this change in Africa. The relative ease of measuring PfPR and its widespread use make it particularly suitable for monitoring and evaluation. This theory provides a method for context-dependent evaluation of ITN programs and a basis for setting rational ITN coverage targets over the next decade.

Original languageEnglish (US)
Pages (from-to)511-516
Number of pages6
JournalTrends in parasitology
Issue number11
StatePublished - Nov 2009
Externally publishedYes

ASJC Scopus subject areas

  • Parasitology
  • Infectious Diseases


Dive into the research topics of 'Predicting changing malaria risk after expanded insecticide-treated net coverage in Africa'. Together they form a unique fingerprint.

Cite this