Jutla Antarpreet S, Akanda Ali S, Islam Shafiqul
WE REASoN (Water and Environmental Research, Education, and Actionable Solutions Network), Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155.
J Am Water Resour Assoc. 2010 Aug;46(4):651-662. doi: 10.1111/j.1752-1688.2010.00448.x.
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 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 dataset(s), 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 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.
霍乱在全球范围内仍然是一个重大的健康威胁。七次全球大流行的模式和规模表明,霍乱疫情主要起源于沿海地区,然后通过次生途径向内陆传播。霍乱细菌与沿海生态系统中的浮游生物丰度密切相关。本综述研究调查了霍乱发病率与沿海过程之间的关系,并探讨了利用遥感数据追踪沿海浮游生物水华的效用,以叶绿素作为浮游生物丰度的替代变量,并追踪随后的霍乱疫情。过去几十年的大多数研究主要集中在对霍乱疫情的微生物学和流行病学理解上。准确识别和深入理解控制霍乱与叶绿素关系的大规模气候、地球物理和海洋过程,对于开发霍乱预测模型至关重要。要全面理解这些过程,需要长期可靠的叶绿素数据集,而卫星数据正开始提供这些数据集。我们提出了一个示意性路径和一个建模框架,将霍乱与各种水文气候和海洋变量联系起来,利用遥感的最新进展来理解疾病动态。卫星数据具有前所未有的空间和时间覆盖范围,有潜力监测沿海过程并追踪流行地区的霍乱疫情。