A computer system for forecasting malaria epidemic risk using remotely-sensed environmental data

iEMSs 2012 - Managing Resources of a Limited Planet: Proceedings of the 6th Biennial Meeting of the International Environmental Modelling and Software Society

Volumn , Issue , 2012, Pages 482-489

  Wimberly, Michael C ^a   Chuang, Ting Wu ^a   Henebry, Geoffrey M ^a   Liu, Yi ^b   Midekisa, Alemayehu ^a   Semuniguse, Paulos ^c   Senay, Gabriel ^d  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

^b South Dakota State University   (United States)

^c Amhara Development Association   (Ethiopia)

^d United Nations Environment Programme   (United States)

Author keywords

Early warning; Geoinformatics; Malaria; Remote sensing

Indexed keywords

EID: 84894183200     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Abeku, T. A., Response to malaria epidemics in Africa. Emerging Infectious Diseases, 13, 681-686, 2007.
2. DaSilva, J., B. Garanganga, V. Teveredzi, S. M. Marx, S. J. Mason, and S. J. Connor, Improving epidemic malaria planning, preparedness and response in Southern Africa, Malaria Journal, 3, 37, 2004.
3. Ford, T. E., R. R. Colwell, J. B. Rose, S. S. Morse, D. J. Rogers, and T. L. Yates, Using Satellite Images of Environmental Changes to Predict Infectious Disease Outbreaks, Emerging Infectious Diseases, 15, 1341-1346, 2009.
4. Guintran J, Delacollette C and Trigg P, Systems for the early detection of malaria epidemics in Africa: An analysis of current practices and future priorities, WHO/HTM/MAL/2006.1115, World Health Organization, Geneva, 2006.
5. R Development Core Team, R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria, 2012.
6. Rop, M., Y. Liu, and M. C. Wimberly, FWA - A Framework for Developing Web- Atlas Applications, Proceedings of the 2011 International Conference on Software Engineering Research and Practice (SERP'11), Las Vegas, NV, July 18-21, 2011.
7. Senay, G. B., M. Buddle, J. P. Verdin, and A. M. Melesse, A coupled remote sensing and simplified surface energy balance approach to estimate actual evapotranspiration from irrigated field, Sensors, 7, 979-1000, 2007.
8. Senay, G. B., M. E. Budde, and J. P. Verdin, Enhancing the Simplified Surface Energy Balance (SSEB) approach for estimating landscape ET: Validation with the METRIC model, Agricultural Water Management, 98, 606-618, 2011.
9. Thomson, M. C., and S. J. Connor, The development of malaria early warning systems for Africa, TRENDS in Parasitology, 17, 438-445, 2001.