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Spatiotemporal Analysis of Malaria in Urban Ahmedabad (Gujarat), India: Identification of Hot Spots and Risk Factors for Targeted Intervention

机译:印度城市Ahmedabad(Gujarat)疟疾的时尚分析:识别有针对性干预的热点和危险因素

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摘要

The world population, especially in developing countries, has experienced a rapid progression of urbanization over the last half century. Urbanization has been accompanied by a rise in cases of urban infectious diseases, such as malaria. The complexity and heterogeneity of the urban environment has made study of specific urban centers vital for urban malaria control programs, whereas more generalizable risk factor identification also remains essential. Ahmedabad city, India, is a large urban center located in the state of Gujarat, which has experienced a significant Plasmodium vivax and Plasmodium falciparum disease burden. Therefore, a targeted analysis of malaria in Ahmedabad city was undertaken to identify spatiotemporal patterns of malaria, risk factors, and methods of predicting future malaria cases. Malaria incidence in Ahmedabad city was found to be spatially heterogeneous, but temporally stable, with high spatial correlation between species. Because of this stability, a prediction method utilizing historic cases from prior years and seasons was used successfully to predict which areas of Ahmedabad city would experience the highest malaria burden and could be used to prospectively target interventions. Finally, spatial analysis showed that normalized difference vegetation index, proximity to water sources, and location within Ahmedabad city relative to the dense urban core were the best predictors of malaria incidence. Because of the heterogeneity of urban environments and urban malaria itself, the study of specific large urban centers is vital to assist in allocating resources and informing future urban planning.
机译:世界人口,特别是在发展中国家,在过去的半个世纪中经历了城市化的快速发展。城市化伴随着疟疾等城市传染病案件的增加。城市环境的复杂性和异质性已经研究了对城市疟疾控制计划至关重要的特定城市中心,而更广泛的风险因素识别也仍然至关重要。印度艾哈迈达巴德市是位于古吉拉特邦的大城市中心,经历了重要的疟原虫和疟原虫疾病负担。因此,举办了艾哈迈达巴德市疟疾的有针对性分析,以确定疟疾,危险因素和预测未来疟疾病例的时空模式。艾哈迈达巴德市的疟疾发病率被发现在空间上是异质的,但在时间上稳定,物种之间的高空间相关性。由于这种稳定性,利用前几年和季节的历史案例的预测方法成功地预测了艾哈迈达巴德市的哪个领域将遇到最高的疟疾负担,可用于前瞻性地定位干预措施。最后,空间分析表明,标准化差异植被指数,邻近水源,以及艾哈迈达巴德市相对于密集城市核心的位置是疟疾发病率的最佳预测因素。由于城市环境的异质性和城市疟疾本身,对特定大城市中心的研究至关重要,可以协助分配资源并通知未来的城市规划。

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