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Maximizing the impact of malaria funding through allocative efficiency: using the right interventions in the right locations

Scott, Nick, Hussain, S. Azfar, Martin-Hughes, Rowan, Fowkes, Freya J. I., Kerr, Cliff C., Pearson, Ruth, Kedziora, David J., Killedar, Madhura, Stuart, Robyn M., Wilson, David P.·2017·Malaria Journal

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Research works printed but not linked: 29

  1. Gamble C, Ekwaru PJ, Garner P, Ter Kuile FO. Insecticide-treated nets for the prevention of malaria in pregnancy: a systematic review of randomised controlled trials. PLoS Med. 2007;4:e107. · DOI
  2. Pluess B, Tanser FC, Lengeler C, Sharp BL. Indoor residual spraying for preventing malaria. Cochrane Database Syst Rev. 2010;4:CD006657.
  3. Tusting LS, Thwing J, Sinclair D, Fillinger U, Gimnig J, Bonner KE, et al. Mosquito larval source management for controlling malaria. Cochrane Database Syst Rev. 2013;8:CD008923.
  4. Meremikwu MM, Donegan S, Sinclair D, Esu E, Oringanje C. Intermittent preventive treatment for malaria in children living in areas with seasonal transmission. Cochrane Database Syst Rev. 2012;2:CD003756.
  5. Wilson AL. A systematic review and meta-analysis of the efficacy and safety of intermittent preventive treatment of malaria in children (IPTc). PLoS ONE. 2011;6:e16976. · DOI
  6. Walker PG, Griffin JT, Ferguson NM, Ghani AC. Estimating the most efficient allocation of interventions to achieve reductions in Plasmodium falciparum malaria burden and transmission in Africa: a modelling study. Lancet Glob Health. 2016;4:e474–84. · DOI · Paper page
  7. Morel CM, Lauer JA, Evans DB. Cost effectiveness analysis of strategies to combat malaria in developing countries. BMJ. 2005;331:1299. · DOI
  8. Hamilton M, Mahiane G, Werst E, Sanders R, Briët O, Smith T, et al. Spectrum-malaria: a user-friendly projection tool for health impact assessment and strategic planning by malaria control programmes in sub-Saharan Africa. Malar J. 2017;16:68. · DOI
  9. Kerr CC, Stuart RM, Gray RT, Shattock AJ, Fraser-Hurt N, Benedikt C, et al. Optima: a model for HIV epidemic analysis, program prioritization, and resource optimization. J Acquir Immune Defic Syndr. 2015;69:365–76. · DOI
  10. Fraser N, Kerr CC, Harouna Z, Alhousseini Z, Cheikh N, Gray R, et al. Reorienting the HIV response in Niger toward sex work interventions: from better evidence to targeted and expanded practice. J Acquir Immune Defic Syndr. 2015;8(Suppl 2):S213–20. · DOI
  11. Kelly S, Shattock A, Kerr CC, Gama T, Nhlabatsi N, Zagatti G, et al. HIV mathematical modelling to support Swaziland’s development of its HIV investment case. Washington: World Bank; 2014.
  12. Masaki E, Fraser N, Haacker M, Obst M, Wootton R, Sunkutu R, et al. Zambia’s HIV response: prioritised and strategic allocation of HIV resources for impact and sustainability. Washington: World Bank; 2015.
  13. Hay SI, Snow RW. The malaria atlas project: developing global maps of malaria risk. PLoS Med. 2006;3:e473. · DOI
  14. Koella J, Antia R. Epidemiological models for the spread of anti-malarial resistance. Malar J. 2003;2:3. · DOI
  15. Koella JC. On the use of mathematical models of malaria transmission. Acta Trop. 1991;49:1–25. · DOI
  16. Aron JL. Mathematical modelling of immunity to malaria. Math Biosci. 1988;90:385–96. · DOI
  17. Labadin J, Kon C, Juan S. Deterministic malaria transmission model with acquired immunity. In: Proceedings of the world congress on engineering and computer science, vol II WCECS 2009, October 20–22, 2009, San Francisco, USA: 2009. P. 779–784.
  18. Mandal S, Sarkar RR, Sinha S. Mathematical models of malaria—a review. Malar J. 2011;10:202. · DOI
  19. Silal SP, Little F, Barnes KI, White LJ. Hitting a moving target: a model for malaria elimination in the presence of population movement. PLoS ONE. 2015;10:e0144990. · DOI
  20. Laneri K, Paul RE, Tall A, Faye J, Diene-Sarr F, Sokhna C, et al. Dynamical malaria models reveal how immunity buffers effect of climate variability. Proc Natl Acad Sci USA. 2015;112:8786–91. · DOI
  21. Filipe JA, Riley EM, Drakeley CJ, Sutherland CJ, Ghani AC. Determination of the processes driving the acquisition of immunity to malaria using a mathematical transmission model. PLoS Comput Biol. 2007;3:e255. · DOI
  22. Lengeler C. Insecticide-treated bed nets and curtains for preventing malaria. Cochrane Database Syst Rev. 2004;2:CD000363.
  23. Kerr C, Smolinski T, Dura-Bernal S, Wilson D. Optimization by Bayesian adaptive locally linear stochastic descent. Nature Scientific Reports under review.
  24. Kanario A. Adherence to intermittent preventive treatment for malaria with sulphadoxine–pyrimethamine and outcome of pregnancy among parturients in South East Nigeria. Patient Prefer Adherence. 2014;8:447–52.
  25. Tesfazghi K, Hill J, Jones C, Ranson H, Worrall E. National malaria vector control policy: an analysis of the decision to scale-up larviciding in Nigeria. Health Policy Plan. 2015;31:91–101. · DOI
  26. Aron JL, May RM. The population dynamics of malaria. In: Andersin RM, editor. The population dynamics of infectious diseases: theory and applications. Boston, MA: Springer; 1982. p. 139–79. · DOI
  27. Chitnis N, Cushing J, Hyman J. Bifurcation analysis of a mathematical model for malaria transmission. SIAM J Appl Math. 2006;67:24–45. · DOI
  28. Tumwiine J, Mugisha J, Luboobi L. A mathematical model for the dynamics of malaria in a human host and mosquito vector with temporary immunity. Appl Math Comput. 2007;189:1953–65.
  29. Maire N, Smith T, Ross A, Owusu-Agyei S, Dietz K, Molineaux L. A model for natural immunity to asexual blood stages of Plasmodium falciparum malaria in endemic areas. Am J Trop Med Hyg. 2006;75(2 suppl):19–31. · DOI

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Metadata

Authors
Scott, N., Hussain, S. A., Martin-Hughes, R., Fowkes, F. J. I., Kerr, C. C., Pearson, R., Kedziora, D. J., Killedar, M., Stuart, R. M., & Wilson, D. P.
Venue
Malaria Journal
Published
2017-09-12
Volume
16
Issue
1
ISSN
1475-2875
Cited by
35
References
0
Language
en
Funders
World Bank Group

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