Optical remote sensing a potential tool for forecasting malaria in Orissa, India

Mohammad Nizamuddin; Kawsar Akhand; Leonid Roytman; Felix Kogan; Mitch Goldberg

doi:10.1117/12.2014702

29 May 2013 Optical remote sensing a potential tool for forecasting malaria in Orissa, India

Mohammad Nizamuddin, Kawsar Akhand, Leonid Roytman, Felix Kogan, Mitch Goldberg

Proceedings Volume 8723, Sensing Technologies for Global Health, Military Medicine, and Environmental Monitoring III; 87231A (2013) https://doi.org/10.1117/12.2014702
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Information on current and anticipated moisture and thermal condition from satellite data represents a source of affordable yet careful information for malaria forecasters to implement and control of epidemic. During the last decades Orissa state in India suffered from highest level of malaria incidence. This situation requires frequent monitoring of environmental conditions and dynamics of malaria occurrence. During 1985 to 2004 the NOAA AVHRR global vegetation index (GVI) dataset and its vegetation health (VH) have been studied and used as proxy for malaria fluctuation. This paper discusses applications of VH for early detecting and monitoring malaria incidence in Orissa. A significant relationship between satellite data and annual malaria incidences is found at least three months before the major malaria transmission period.

Citation Download Citation

Mohammad Nizamuddin, Kawsar Akhand, Leonid Roytman, Felix Kogan, and Mitch Goldberg "Optical remote sensing a potential tool for forecasting malaria in Orissa, India", Proc. SPIE 8723, Sensing Technologies for Global Health, Military Medicine, and Environmental Monitoring III, 87231A (29 May 2013); https://doi.org/10.1117/12.2014702

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