Paper No. JAWRA-09-0111-P of the Journal of the American Water Resources Association (JAWRA). Discussions are open until six months from print publication.
Tracking Cholera in Coastal Regions Using Satellite Observations1
Article first published online: 11 JUN 2010
© 2010 American Water Resources Association
JAWRA Journal of the American Water Resources Association
Volume 46, Issue 4, pages 651–662, August 2010
How to Cite
Jutla, A. S., Akanda, A. S. and Islam, S. (2010), Tracking Cholera in Coastal Regions Using Satellite Observations. JAWRA Journal of the American Water Resources Association, 46: 651–662. doi: 10.1111/j.1752-1688.2010.00448.x
- Issue published online: 26 JUL 2010
- Article first published online: 11 JUN 2010
- Received July 22, 2009; accepted April 19, 2010.
- surface water hydrology;
- remote sensing;
- aquatic ecology;
Jutla, Antarpreet S., Ali S. Akanda, and Shafiqul Islam, 2010. Tracking Cholera in Coastal Regions Using Satellite Observations. Journal of the American Water Resources Association (JAWRA) 46(4): 651-662. DOI: 10.1111/j.1752-1688.2010.00448.x
Abstract: Cholera remains a significant health threat across the globe. The pattern and magnitude of the seven global pandemics suggest that cholera outbreaks primarily originate in coastal regions and then spread inland through secondary means. Cholera bacteria show strong association with plankton abundance in coastal ecosystems. This review study investigates the relationship(s) between cholera incidence and coastal processes and explores utility of using remote sensing data to track coastal plankton blooms, using chlorophyll as a surrogate variable for plankton abundance, and subsequent cholera outbreaks. Most studies over the last several decades have primarily focused on the microbiological and epidemiological understanding of cholera outbreaks. Accurate identification and mechanistic understanding of large scale climatic, geophysical, and oceanic processes governing cholera-chlorophyll relationship is important for developing cholera prediction models. Development of a holistic understanding of these processes requires long and reliable chlorophyll datasets, which are beginning to be available through satellites. We have presented a schematic pathway and a modeling framework that relate cholera with various hydroclimatic and oceanic variables for understanding disease dynamics using the latest advances in remote sensing. Satellite data, with its unprecedented spatial and temporal coverage, have potentials to monitor coastal processes and track cholera outbreaks in endemic regions.