Dr. Mohammed Shofiullah Shibli Profile

Dr. Mohammed Shofiullah Shibli

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Proceedings Article | 22 April 2020 Presentation + Paper

Dengue early warning systems using environmental remote sensing data

Md. Z. Rahman, Leonid Roytman, Abdelhamid Kadik, Dilara Rosy, Pradipta Nandi, Mohammed Shofiullah Shibli

Proceedings Volume 11424, 114240D (2020) https://doi.org/10.1117/12.2559208

KEYWORDS: Remote sensing, Vegetation, Satellites, Dysprosium, Environmental sensing, Geographic information systems, Radiometry, Temperature metrology, Climatology, Meteorological satellites

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Dengue is the most common mosquito-transmitted diseases, leading to millions of serious illnesses and deaths each year. Because the mosquito vectors are sensitive to environmental conditions such as temperature, precipitation, and humidity, it is possible to map areas currently or imminently at high risk for disease outbreaks using satellite remote sensing. In this paper we propose the development of an operational geospatial system for Dengue and dengue fever early warning; this can be done by bringing together geographic information system (GIS) tools, artificial neural networks (ANN) for efficient pattern recognition, the best available ground-based epidemiological and vector ecology data, and current satellite remote sensing capabilities. We use Vegetation Health Indices (VHI) derived from visible and infrared radiances measured by satellite-mounted Advanced Very High Resolution Radiometers (AVHRR) and available weekly at 4-km resolution as one predictor of dengue fever risk in Bangladesh. As a study area, we focus on Bangladesh where dengue fever are serious public health threats. The technology developed will, however, be largely portable to other countries in the world and applicable to other disease threats. A dengue fever early warning system will be a boon to international public health, enabling resources to be focused where they will do the most good for stopping pandemics, and will be an invaluable decision support tool for national security assessment and potential troop deployment in regions susceptible to disease outbreaks.

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