C. Murray, L. Rosenfeld, S. Lim, K. Andrews, K. Foreman et al., Global malaria mortality between 1980 and 2010: a systematic analysis, The Lancet, vol.379, issue.9814, pp.413-444, 2012.
DOI : 10.1016/S0140-6736(12)60034-8

S. Bhatt, D. Weiss, E. Cameron, D. Bisanzio, B. Mappin et al., The effect of malaria control on Plasmodium falciparum in Africa between, Nature, 2000.

W. Geneva, Prevention and control of malaria epidemics. Third meeting of the Technical Support Network, pp.10-11, 2001.

M. Ratsitorahina, J. Harisoa, J. Ratovonjato, S. Biacabe, J. Reynes et al., Outbreak of Dengue and Chikungunya Fevers, Toamasina, Madagascar, 2006, Emerging Infectious Diseases, vol.14, issue.7, pp.1135-1142, 2006.
DOI : 10.3201/eid1407.071521
URL : https://wwwnc.cdc.gov/eid/article/14/7/pdfs/07-1521.pdf

L. Randrianasolo, Y. Raoelina, M. Ratsitorahina, L. Ravolomanana, S. Andriamandimby et al., Sentinel surveillance system for early outbreak detection in Madagascar, BMC Public Health, vol.3, issue.1, 2010.
DOI : 10.1186/1472-6947-3-2
URL : https://hal.archives-ouvertes.fr/pasteur-00589394

J. Cox and T. Abeku, Early warning systems for malaria in Africa : from blueprint to practice. TRENDS Parasitol Vol23 No6, pp.243-249, 2007.

A. Nerlich, B. Schraut, S. Dittrich, T. Jelinek, and A. Zink, in Ancient Egypt, Emerging Infectious Diseases, vol.14, issue.8, pp.1317-1326, 2008.
DOI : 10.3201/eid1408.080235

F. Cox, History of the discovery of the malaria parasites and their vectors, Parasites & Vectors, vol.3, issue.1, p.5, 2010.
DOI : 10.1186/1756-3305-3-5

E. Capanna, Grassi versus Ross: who solved the riddle of malaria?, Int Microbiol, vol.9, pp.69-74, 2006.

I. Statistique, Annuaire Statistique de la Santé, 2011.

R. Howes, S. Mioramalala, B. Ramiranirina, T. Franchard, A. Rakotorahalahy et al., Contemporary epidemiological overview of malaria in Madagascar: operational utility of reported routine case data for malaria control planning, Malaria Journal, vol.13, issue.Suppl 1, pp.502-512, 2016.
DOI : 10.1186/1475-2875-13-171

S. Rajaobary, Investigation of a malaria outbreak in south-eastern Madagascar in 2011- 2012: a multidisciplinary approach, p.1001091, 2012.

S. Barmania, Madagascar's health challenges, The Lancet, vol.386, issue.9995, pp.729-759, 2013.
DOI : 10.1016/S0140-6736(15)61526-4

J. Cao, H. Sturrock, C. Cotter, S. Zhou, H. Zhou et al., Communicating and Monitoring Surveillance and Response Activities for Malaria Elimination: China's ???1-3-7??? Strategy, PLoS Medicine, vol.4, issue.5, pp.1-6, 2014.
DOI : 10.1371/journal.pmed.1001642.g004
URL : https://doi.org/10.1371/journal.pmed.1001642

G. Yang, M. Tanner, J. Utzinger, J. Malone, R. Bergquist et al., Malaria surveillance-response strategies in different transmission zones of the People's Republic of China: preparing for climate change, Malaria Journal, vol.11, issue.1, pp.426-436, 2012.
DOI : 10.1016/j.gloenvcha.2011.06.001

G. Kelly, E. Hale, W. Donald, W. Batarii, H. Bugoro et al., A high-resolution geospatial surveillance-response system for malaria elimination
DOI : 10.1186/1475-2875-12-108
URL : https://malariajournal.biomedcentral.com/track/pdf/10.1186/1475-2875-12-108?site=malariajournal.biomedcentral.com

J. Cohen, S. Dlamini, J. Novotny, D. Kandula, S. Kunene et al., Rapid case-based mapping of seasonal malaria transmission risk for strategic elimination planning in Swaziland, Malaria Journal, vol.12, issue.1
DOI : 10.1016/j.pt.2012.04.002

B. Moonen, J. Cohen, R. Snow, L. Slutsker, C. Drakeley et al., Operational strategies to achieve and maintain malaria elimination, The Lancet, vol.376, issue.9752, pp.1592-1603
DOI : 10.1016/S0140-6736(10)61269-X
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3037542/pdf

X. Zhou, R. Bergquist, and M. Tanner, Elimination of tropical disease through surveillance and response, Infectious Diseases of Poverty, vol.2, issue.1, pp.10-1186, 2013.
DOI : 10.1186/1475-2875-11-426
URL : https://idpjournal.biomedcentral.com/track/pdf/10.1186/2049-9957-2-1?site=idpjournal.biomedcentral.com

S. Adibi, Mobile Health, A Technology Road Map, 2015.

S. Adibi, . Mhealth-multidisciplinary, and . Verticals, 2014. 33. mHealth for Development: The Opportunity of Mobile Technology for Healthcare in the Developing World United Nations Foundation, Vodafone Foundation, 2012.

R. Istepanian, . Laxminarayan, . Swamy, and C. S. Pattichis, M-Health: Emerging Mobile Health Systems, 2005.
DOI : 10.1007/b137697

R. Kathuria, M. Uppal, and . Mamta, An econometric analysis of the impact of mobile. Case paper in India: The impact of mobile phones. Vodafone Group Plc. The Policy Paper Series, 2009.

J. Baijal, Eric Beinhocker The " bird of gold " : the rise of India's consumer market, Anupam, 2007.

P. Mechael, Exploring Health-related Uses of Mobile Phones: An Egyptian Case Study, Public Health & Policy (p. 264), 2006.

R. Istepanian, Guest Editorial Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity, IEEE Transactions on Information Technology in Biomedicine, vol.8, issue.4, pp.405-413, 2004.
DOI : 10.1109/TITB.2004.840019

L. Lukwago, M. Nanyunja, N. Ndayimirije, J. Wamala, M. Malimbo et al., The implementation of Integrated Disease Surveillance and Response in Uganda: a review of progress and challenges between 2001 and 2007, Health Policy and Planning, vol.28, issue.1, pp.30-40, 2001.
DOI : 10.1093/heapol/czs022

J. Cox and J. Cox, Development of systems for early detection, early warning and control of malaria outbreaks in Iran: assignment report, 2007.

W. Mckelvie, A. Haghdoost, and A. Raeisi, Defining and detecting malaria epidemics in southeast Iran, Malar J, vol.11, pp.10-1186, 2012.

J. Najera, R. Kouznetzsov, and C. Delacollette, Malaria epidemics, detection and control, forecasting and prevention. Malar epidemics Detect Control Forecast Prev, p.52, 1998.

J. Cullen, U. Chitprarop, E. Doberstyn, and K. Sombatwattanangkul, An epidemiological early warning system for malaria control in northern Thailand, Bull World Health Organ, vol.62, pp.107-121, 1984.

H. Teklehaimanot, J. Schwartz, A. Teklehaimanot, and M. Lipsitch, Alert Threshold Algorithms and Malaria Epidemic Detection, Emerging Infectious Diseases, vol.10, issue.7, 2004.
DOI : 10.3201/eid1007.030722
URL : https://wwwnc.cdc.gov/eid/article/10/7/pdfs/03-0722.pdf

J. Najera, R. Kouznetzsov, and C. Delacollette, Malaria epidemics, detection and control, forecasting and prevention. Malar epidemics Detect Control Forecast Prev, p.52, 1998.

R. Watkins, S. Eagleson, R. Hall, L. Dailey, and A. Plant, Approaches to the evaluation of outbreak detection methods, BMC Public Health, vol.80, issue.1, pp.263-273, 2006.
DOI : 10.1197/jamia.M1356

L. Hutwagner, W. Thompson, S. Groseclose, and . Wg, An evaluation of alternative methods for detecting aberrations in public health surveillance data, Am Stat Assoc Jt Stat Meet Proc Biometrics Sect Indianap, pp.82-87, 2000.

W. Terry, B. Ostrowsky, and . Ha, Should we be worried? Investigation of signals generated by an electronic syndromic surveillance system-Westchester County, MMWR Morb Mortal Wkly Rep, pp.190-195, 2004.

R. Lewis, N. Nathan, L. Diarra, F. Belanger, and . Pc, Timely detection of meningococcal meningitis epidemics in Africa, The Lancet, vol.358, issue.9278, pp.287-93, 2001.
DOI : 10.1016/S0140-6736(01)05484-8

B. Reis and . Mk, Time series modeling for syndromic surveillance, BMC Medical Informatics and Decision Making, vol.39, issue.4, 2003.
DOI : 10.1073/pnas.0335026100
URL : https://doi.org/10.1186/1472-6947-3-2

C. Ropelewski and . Hm, Global and regional scale precipitation patterns associated with ENSO

L. Goddard, S. Mason, S. Zebiak, C. Ropelewski, R. Basher et al., Current approaches to seasonal to interannual climate predictions, International Journal of Climatology, vol.15, issue.11, pp.1111-1152, 2001.
DOI : 10.1034/j.1600-0870.1994.00013.x
URL : http://cas.umkc.edu/geo/globalclimatechange/weeklyactivities/feb-14/climate prediction-goddard2001.pdf

T. Ford, R. Colwell, J. Rose, S. Morse, D. Rogers et al., Using Satellite Images of Environmental Changes to Predict Infectious Disease Outbreaks, Emerging Infectious Diseases, vol.15, issue.9, pp.1341-1346, 2009.
DOI : 10.3201/eid/1509.081334

A. Estrada-pena, Increasing Habitat Suitability in the United States for the Tick that Transmits Lyme Disease: A Remote Sensing Approach, Environmental Health Perspectives, vol.110, issue.7, pp.635-675, 2002.
DOI : 10.1289/ehp.02110635

H. E. Brown, M. A. Diuk-wasser, Y. Guan, S. Caskey, and D. Fish, Comparison of three satellite sensors at three spatial scales to predict larval mosquito presence in Connecticut wetlands, Remote Sensing of Environment, vol.112, issue.5, pp.2301-2309, 2008.
DOI : 10.1016/j.rse.2007.10.005

T. W. Chuang, G. M. Henebry, J. S. Kimball, D. L. Vanroekel-patton, M. B. Hildreth et al., Satellite microwave remote sensing for environmental modeling of mosquito population dynamics, Remote Sensing of Environment, vol.125, pp.147-56, 2012.
DOI : 10.1016/j.rse.2012.07.018

A. Baeza, M. J. Bouma, R. C. Dhiman, E. B. Baskerville, P. Ceccato et al., Long-lasting transition toward sustainable elimination of desert malaria under irrigation development, Proceedings of the National Academy of Sciences, vol.109, issue.6, pp.15157-62, 2013.
DOI : 10.1073/pnas.1108438109
URL : http://www.pnas.org/content/110/37/15157.full.pdf

S. Kalluri, P. Gilruth, D. Rogers, and M. Szczur, Surveillance of Arthropod Vector-Borne Infectious Diseases Using Remote Sensing Techniques: A Review, PLoS Pathogens, vol.315, issue.10, p.116
DOI : 0193-4511(2007)315[1767:CIEO]2.0.CO;2

V. Machault, C. Vignolles, F. Borchi, P. Vounatsou, F. Pages et al., The use of remotely sensed environmental data in the study of malaria, Geospatial health, vol.5, issue.2, pp.151-68, 2011.
DOI : 10.4081/gh.2011.167

H. Teklehaimanot, M. Lipsitch, A. Teklehaimanot, and J. Schwartz, Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms, Malaria Journal, vol.3, issue.1, p.41, 2004.
DOI : 10.1186/1475-2875-3-41

D. Rogers, S. Randolph, R. Snow, and S. Hay, Satellite imagery in the study and forecast of malaria, Nature, vol.415, issue.6872, pp.710-715, 2002.
DOI : 10.1038/415710a

A. Midekisa, G. Senay, G. Henebry, P. Semuniguse, and M. Wimberly, Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia, Malaria Journal, vol.11, issue.1, pp.165-175, 2012.
DOI : 10.1186/1475-2875-10-260

S. Nativi, P. Mazzetti, M. Santoro, F. Papeschi, M. Craglia et al., Big Data challenges in building the Global Earth Observation System of Systems, Environmental Modelling & Software, vol.68, issue.0, pp.1-26, 2015.
DOI : 10.1016/j.envsoft.2015.01.017

C. Vitolo, Y. Elkhatib, D. Reusser, C. J. Macleod, and W. Buytaert, Web technologies for environmental Big Data, Environmental Modelling & Software, vol.63, issue.0, pp.185-198
DOI : 10.1016/j.envsoft.2014.10.007
URL : https://doi.org/10.1016/j.envsoft.2014.10.007

E. Grover-kopec, M. Kawano, R. Klaver, B. Blumenthal, P. Ceccato et al., An online operational rainfall-monitoring resource for epidemic malaria early warning systems in, Africa

J. Patz, M. Hulme, C. Rosenzweig, T. Mitchell, R. Goldberg et al., Regional warming and malaria resurgence, Nature, vol.8, p.420627, 2002.

H. G. Gilles, H. Warrel, and D. , Epidemiology of malaria, pp.124-63, 1993.

L. Beck, B. Lobitz, and B. Wood, Remote Sensing and Human Health: New Sensors and New Opportunities, Emerging Infectious Diseases, vol.6, issue.3, pp.217-243, 2000.
DOI : 10.3201/eid0603.000301
URL : https://wwwnc.cdc.gov/eid/pdfs/vol23no9_pdf-version.pdf

S. Connor, S. Flasse, A. Ferryman, and . Tm, The contribution of satellite derived information to malaria stratification, monitoring and early warning, Bull WHO. WHO/MAL, vol.97, p.33

M. Cresswell, A. Morse, M. Thomson, and . Cs, Estimating surface air temperatures, from Meteosat land surface temperatures, using an empirical solar zenith angle model, International Journal of Remote Sensing, vol.20, issue.6, pp.1125-1132
DOI : 10.1080/014311699212885

A. Colombi, D. Michele, C. Pepe, M. Rampini, and A. Rs, Estimation of daily mean air temperature from MODIS land surface temperature data in Alpine areas, EARSeL eProceedings, vol.6, pp.38-46

C. Vancutsem, P. Ceccato, T. Dinku, and . Cs, Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa, Remote Sensing of Environment, vol.114, issue.2, pp.449-65
DOI : 10.1016/j.rse.2009.10.002

S. Hay and J. Lennon, Deriving meteorological variables across Africa for the study and control of vector-borne disease: a comparison of remote sensing and spatial interpolation of climate, Tropical Medicine and International Health, vol.14, issue.1, pp.58-71, 1999.
DOI : 10.1175/1520-0442(1998)011<0137:GMPEFS>2.0.CO;2

R. Green and . Hs, The potential of Pathfinder AVHRR data for providing surrogate climatic variables across Africa and Europe for epidemiological applications, Remote Sensing of Environment, vol.79, issue.2-3, pp.166-75, 2002.
DOI : 10.1016/S0034-4257(01)00270-X

J. Lacaux, Y. Tourre, C. Vignolles, J. Ndione, and . Lm, Classification of ponds from high-spatial resolution remote sensing: Application to Rift Valley Fever epidemics in Senegal, Remote Sensing of Environment, vol.106, issue.1, pp.66-74, 2006.
DOI : 10.1016/j.rse.2006.07.012

C. Vignolles, J. Lacaux, Y. Tourre, G. Bigeard, J. Ndione et al., Rift Valley fever in a zone potentially occupied by Aedes vexans in Senegal: dynamics and risk mapping, Geospatial health, vol.3, issue.2, pp.211-231, 2009.
DOI : 10.4081/gh.2009.221

S. Britch, K. Linthicum, A. Anyamba, C. Tucker, E. Pak et al., Satellite Vegetation Index Data as a Tool to Forecast Population Dynamics of Medically Important Mosquitoes at Military Installations in the Continental United States, Military Medicine, vol.173, issue.7, pp.677-83, 2008.
DOI : 10.7205/MILMED.173.7.677

C. Justice, G. Dugdale, J. Townshend, A. Narracott, and . Km, Synergism between NOAA-AVHRR and Meteosat data for studying vegetation development in semi-arid West Africa, International Journal of Remote Sensing, vol.2, issue.6, pp.1349-68, 1991.
DOI : 10.1016/0034-4257(85)90097-5

R. Littauer, K. Ram, B. Luda-ascher, W. Michener, and R. Koskela, Trends in Use of Scientific Workflows: Insights from a Public Repository and Recommendations for Best Practice, International Journal of Digital Curation, vol.7, issue.2, pp.92-100, 2012.
DOI : 10.2218/ijdc.v7i2.232

D. Garijo, P. Alper, K. Belhajjame, O. Corcho, Y. Gil et al., Common motifs in scientific workflows: An empirical analysis, Future Generation Computer Systems, vol.36, pp.338-51, 2014.
DOI : 10.1016/j.future.2013.09.018
URL : https://hal.archives-ouvertes.fr/hal-01342933

E. Deelman, D. Gannon, M. Shields, and I. Taylor, Workflows and e-Science: An overview of workflow system features and capabilities, Future Generation Computer Systems, vol.25, issue.5, pp.528-540, 2009.
DOI : 10.1016/j.future.2008.06.012

K. Gaustad, T. Shippert, B. Ermold, S. Beus, J. Daily et al., A scientific data processing framework for time series NetCDF data, Environmental Modelling & Software, vol.60, pp.241-250, 2014.
DOI : 10.1016/j.envsoft.2014.06.005

M. B. Blumenthal, M. Bell, J. Del-corral, R. Cousin, and I. Khomyakov, IRI Data Library: enhancing accessibility of climate knowledge, Earth Perspectives, vol.1, issue.1, pp.1-12, 2014.
DOI : 10.1038/471440a

P. Ceccato, C. Vancutsem, R. Klaver, J. Rowland, and S. Connor, A Vectorial Capacity Product to Monitor Changing Malaria Transmission Potential in Epidemic Regions of Africa, Journal of Tropical Medicine, vol.77, issue.6
DOI : 10.1016/j.rse.2009.10.002

S. Hay, E. Were, M. Renshaw, A. Noor, S. Ochola et al., Forecasting, warning, and detection of malaria epidemics: a case study, The Lancet, vol.361, issue.9370, pp.1705-1711, 2003.
DOI : 10.1016/S0140-6736(03)13366-1

R. Back and M. Groupe, Guide par pays pour les responsables de la poursuite du programme LLIN, 2011.

. Who, Indoor residual spraying : Use of indoor residual spraying for scaling up global malaria control and elimination, 2006.

. Who, Malaria Rapid Diagnostic Test Performance, p.106, 2011.

T. Kesteman, M. Randrianarivelojosia, C. Mattern, E. Raboanary, D. Pourette et al., Nationwide evaluation of malaria infections, morbidity, mortality, and coverage of malaria control interventions in Madagascar, Malaria Journal, vol.13, issue.1, pp.465-475, 2014.
DOI : 10.1186/1475-2875-12-36

R. Steketee and C. Campbell, Impact of national malaria control scale-up programmes in Africa: magnitude and attribution of effects, Malaria Journal, vol.9, issue.1, p.299, 2010.
DOI : 10.1186/1475-2875-9-299

T. Kesteman, M. Randrianarivelojosia, V. Raharimanga, L. Randrianasolo, P. Piola et al., Effectiveness of malaria control interventions in Madagascar: a nationwide case???control survey, Malaria Journal, vol.16, issue.Suppl 1
DOI : 10.1093/ije/16.2.167

S. Hay, O. Ox, and R. Snow, Europe PMC Funders Group Urbanization , malaria transmission and disease burden in Africa, pp.81-90, 2011.
DOI : 10.1038/nrmicro1069
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3130901/pdf

C. Caminade, S. Kovats, J. Rocklov, A. Tompkins, A. Morse et al., Impact of climate change on global malaria distribution, Proceedings of the National Academy of Sciences, vol.111, issue.9, pp.3286-91, 2014.
DOI : 10.1016/j.gloenvcha.2011.08.002

L. Tusting, B. Willey, H. Lucas, J. Thompson, H. Kafy et al., Socioeconomic development as an intervention against malaria: a systematic review and meta-analysis, The Lancet, vol.382, issue.9896, p.963, 2013.
DOI : 10.1016/S0140-6736(13)60851-X

D. Acremont, V. Kahama-maro, J. Swai, N. Mtasiwa, D. Genton et al., Reduction of anti-malarial consumption after rapid diagnostic tests implementation in Dar es Salaam: a before-after and cluster randomized controlled study, Malaria Journal, vol.10, issue.1, pp.107-117, 2011.
DOI : 10.1371/journal.pone.0008707

C. Lengeler and R. Snow, From efficacy to effectiveness: Insecticide-treated bednets in Africa, Bull World Health Organ, vol.74, p.325, 1996.

C. Rogier, M. Henry, and . Lc, Méthodes d'évaluation en phase IV de l'efficacité de la lutte antivectorielle: l'exemple d'une étude cas-témoin de l'impact des moustiquaires imprégnées d'insecticide à longue durée d'action après leur déploiement au Bénin, Med Trop, vol.69, pp.195-147, 2009.

C. Du, P. Lutte, . Par, . De, . Par et al., 14 FIGURE 2: PAYS 15 FIGURE 3, Liste des figures FIGURE 1:. : ... 17 FIGURE 4: FINANCEMENT DU PALUDISME....... 43 FIGURE 13, p.90, 1960.