Mapping Rift Valley fever and malaria risk over West Africa using climatic indicators

Atmospheric Science Letters

Volumn 12, Issue 1, 2011, Pages 96-103

  Caminade, C ^a   Ndione, J A ^b   Kebe, C M F ^c   Jones, A E ^a   Danuor, S ^d   Tay, S ^d   Tourre, Y M ^e,f   Lacaux, J P ^g   Vignolles, C ^h   Duchemin, J B ⁱ   Jeanne, I ⁱ   Morse, A P ^a  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b Third World Forum Dakar   (Senegal)

^c UNIVERSITÉ CHEIKH ANTA DIOP   (Senegal)

^d KWAME NKRUMAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Ghana)

^e MÉTÉO FRANCE   (France)

^f Department of Earth and Environmental Sciences   (United States)

^g OBSERVATOIRE MIDI PYRÉNÉES   (France)

^h CNES   (France)

ⁱ Centre de Recherche Medicale et Sanitaire Niamey   (Niger)

Author keywords

Climate change; Disease modelling; Malaria; Rift Valley fever; Vector borne diseases; West Africa

Indexed keywords

CLIMATE CHANGE; CLIMATE EFFECT; COMPUTER SIMULATION; DISEASE SPREAD; DISEASE VECTOR; ENVIRONMENTAL FACTOR; EPIDEMIC; HEALTH RISK; MALARIA; MAPPING METHOD; NUMERICAL MODEL; RISK ASSESSMENT;

WEST AFRICA;

EID: 79952021080     PISSN: None     EISSN: 1530261X     Source Type: Journal    
DOI: 10.1002/asl.296     Document Type: Article

References (22)

1. Bomblies A, Duchemin JB, Eltahir EA. 2009. A mechanistic approach for accurate simulation of village-scale malaria transmission. Malaria Journal 8: 223.
2. FAO. 2005. Observed and modelled livestock densities. Available from .
3. Hoshen MB, Morse AP. 2004. A weather-driven model of malaria transmission. Malaria Journal 3: 32, DOI:10.1186/1475-2875-3-32.
4. Huffman GJ, Adler RF, Morrissey M, Bolvin DT, Curtis S, Joyce R, McGavock B, Susskind J. 2001. Global precipitation at one-degree daily resolution from multi-satellite observations. Journal of Hydrometeorology 2(1): 36-50.
5. Jones AE, Morse AP. 2010. Skill of ENSEMBLES seasonal re-forecasts for epidemic malaria prediction in West Africa. AMMA Deliverable D3.4h: Assessment of potential of current R&D ensemble forecasting systems for health impact application in West Africa.
6. Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Leetmaa A, Reynolds R, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo KC, Ropelewski C, Wang J, Jenne R, Joseph D. 1996. The NCEP/NCAR 40-year reanalysis project. Bulletin of the American Meteorological Society 17(3): 437-471.
7. Lacaux JP, Tourre YM, Vignolles C, Ndione JA, Lafaye M. 2007. Classification of ponds from high-spatial resolution remote sensing: application to Rift Valley fever epidemics in Senegal. Remote Sensing of Environment 106: 66-74.
8. Le Sueur D, Binka F, Lengeler C, de Savigny D, Snow RW, Teuscher T, Touréé YT. 1997. An atlas of malaria in Africa. Africa Health 19: 23-24.
9. MALARIS. 2007. The impact of climate change on malaria risk in Africa. .
10. Meegan JM, Bailey CL. 1988. Rift Valley fever. In Arbovirus Epidemiology and Ecology, Vol. IV, Monath TP (ed). CRC: Boca Raton, FL; 51-76.
11. Morse AP, Doblas-Reyes FJ, Hoshen MB, Hagedorn R, Palmer TN. 2005. A forecast quality assessment of an end-to-end probabilistic multi-model seasonal forecast system using a malaria model. Tellus 57A: 464-475.
12. Nájera JA, Kouznetsov RL, Delacollette C. 1998. Malaria epidemics: detection and control, forecasting and prevention. WHO/MAL/98.1084. World Health Organization: Geneva, Switzerland. .
13. Ndione J-A, Besancenot J-P, Lacaux J-P, Sabatier P. 2003. Environnement et épidémiologie de la fièvre de la vallée du Rift (FVR) dans le bassin inférieur du fleuve Sénégal. Environnement, Risques et Santé 2(3): 176-182.
14. Ndione JA, Diop M, Lacaux JP, Gaye AT. 2008. Variabilité intra-saisonnière de la Pluviométrie et émergence de la fièvre de la vallée du rift (FVR) dans la vallée du fleuve Sénégal nouvelles considérations. Climatologie 5: 83-97.
15. Sachs J, Malaney P. 2002. The economic and social burden of malaria. Nature 415: 680-685.
16. Thomson MC, Doblas-Reyes FJ, Mason SJ, Hagedorn R, Connor SJ, Phindela T, Morse AP, Palmer TN. 2006. Malaria early warnings based on seasonal climate forecasts from multi-model ensembles. Nature 439: 576-579.
17. Tourre YM, Lacaux J-P, Vignolles C, Ndione JA, Lafaye M. 2008. Mapping of zones potentially occupied by mosquitoes (ZPOMs) Aedes vexans and Culex poicipiles, the main vectors of Rift Valley fever in Senegal. Geospatial Health 3(1): 69-79.
18. Uppala S, Dee D, Kobayashi S, Berrisford P, Simmons A. 2008. Towards a climate data assimilation system: Status update of ERA-Interim, in ECMWF Newsletter, Vol. 115. European Centre for Medium-Range Weather Forecasts: Reading-UK; 12-18.
19. Van der Linden PJ, Mitchell JFB (eds). 2009. ENSEMBLES: Climate Change and Its Impacts: Summary of Research and Results from the ENSEMBLES Project. Met Office Hadley Centre: Exeter, UK. Details about the ENSEMBLES RCMs simulations are available from: .
20. Vignolles C, Lacaux J-P, Tourre YM, Bigeard G, Ndione JA, Lafaye M. 2009. Rift Valley fever in a zone potentially ocupied by Aedes vexans in Senegal dynamics and risk mapping. Geospatial Health 3(2): 211-220.
21. WHO. 2005. World Malaria Report 2005. World Health Organization: Geneva; 294. pp. .
22. Worrall E, Rietveld A, Delacollette C. 2004. The burden of malaria epidemics and cost-effectiveness of interventions in epidemic situation in Africa. American Journal of Tropical Medicine and Hygiene 71(2): 136-140.