Selecting malaria interventions: A top-down approach

Nedialko B. Dimitrov*, Alexander Moffett, David P. Morton, Sahotra Sarkar

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

Malaria continues to be a great burden on both morbidity and mortality as well as economic development across the world. In highly endemic areas, such as Nigeria, malaria can claim hundreds of thousands of lives and millions of dollars yearly. Typically, when selecting intervention strategies to control malaria, research is focused on the cost-effectiveness and general applicability of individual interventions. In separate studies, great care is taken to develop high-fidelity models of malaria's economic and morbidity/mortality burden. In this paper, we take a top-down approach to selecting malaria intervention strategies. Instead of studying each element of the problem separately, we combine models for intervention cost-effectiveness, disease burden, and intervention delivery to create a single large-scale geographic optimization. We illustrate our top-down approach with a case study of malaria in Nigeria. Our optimization produces detailed geographic intervention plans, identifies key budget values and specifies the locations of the supply distribution centers.

Original languageEnglish (US)
Pages (from-to)2229-2240
Number of pages12
JournalComputers and Operations Research
Volume40
Issue number9
DOIs
StatePublished - Sep 1 2013

Keywords

  • Computing disease intervention strategies
  • Integrated disease model
  • Malaria intervention
  • Supply center locations

ASJC Scopus subject areas

  • Computer Science(all)
  • Modeling and Simulation
  • Management Science and Operations Research

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