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Proceedings Paper

Early detection and monitoring of Malaria
Author(s): Md Z. Rahman; Leonid Roytman; Abdelhamid Kadik; Howard Miller; Dilara A. Rosy
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Paper Abstract

Global Earth Observation Systems of Systems (GEOSS) are bringing vital societal benefits to people around the globe. In this research article, we engage undergraduate students in the exciting area of space exploration to improve the health of millions of people globally. The goal of the proposed research is to place students in a learning environment where they will develop their problem solving skills in the context of a world crisis (e.g., malaria). Malaria remains one of the greatest threats to public health, particularly in developing countries. The World Health Organization has estimated that over one million die of Malaria each year, with more than 80% of these found in Sub-Saharan Africa. The mosquitoes transmit malaria. They breed in the areas of shallow surface water that are suitable to the mosquito and parasite development. These environmental factors can be detected with satellite imagery, which provide high spatial and temporal coverage of the earth's surface. We investigate on moisture, thermal and vegetation stress indicators developed from NOAA operational environmental satellite data. Using these indicators and collected epidemiological data, it is possible to produce a forecast system that can predict the risk of malaria for a particular geographical area with up to four months lead time. This valuable lead time information provides an opportunity for decision makers to deploy the necessary preventive measures (spraying, treated net distribution, storing medications and etc) in threatened areas with maximum effectiveness. The main objective of the proposed research is to study the effect of ecology on human health and application of NOAA satellite data for early detection of malaria.

Paper Details

Date Published: 13 May 2015
PDF: 8 pages
Proc. SPIE 9490, Advances in Global Health through Sensing Technologies 2015, 94900S (13 May 2015); doi: 10.1117/12.2177293
Show Author Affiliations
Md Z. Rahman, LaGuardia Community College (United States)
Leonid Roytman, The City College of New York (United States)
Abdelhamid Kadik, LaGuardia Community College (United States)
Howard Miller, LaGuardia Community College (United States)
Dilara A. Rosy, Univ. of Dhaka (Bangladesh)


Published in SPIE Proceedings Vol. 9490:
Advances in Global Health through Sensing Technologies 2015
Šárka O. Southern; Mark A. Mentzer; Virginia E. Wotring, Editor(s)

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