2010-2016年印度的降雨和登革热发病率

P. Shil
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引用次数: 6

摘要

背景:气候变化与登革热、基孔肯雅热和寨卡等病媒传播疾病的出现和再次出现同时发生。自2005年以来,登革热在全世界卷土重来,影响了数百万人,造成了巨大的疾病负担,特别是在包括印度在内的热带发展中国家。虽然印度有巨大的登革热负担,所有四种血清型都在该国不同地区引起疫情,但关于气候和环境对登革热影响的报告很少。目的和目标:了解降雨对2010年至2016年印度登革热发病率的影响,重点关注受影响最严重的邦。方法:采用数据挖掘方法,从国家登革热预防控制中心和国家登革热预防控制中心网站获取登革热发病数据。区域加权降雨量(ARF)由分区数据计算。进行统计分析,分析每年ARF与登革热发病率之间的关系。对登革热疫情进行了时空分析。结果:时空分析显示,北部邦(印度恒河平原)的高降雨量与病例数量呈正相关,而南部邦(半岛)则相反。农村登革热暴发的数量也受到年降雨量的影响。结论:我们的研究揭示了降雨对印度登革热的影响。我们得出结论,降雨对印度北部和南部各邦登革热发病率的影响不同。
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Rainfall and dengue occurrences in India during 2010–2016
Background: A changing climate scenario coincided with the emergence and re-emergence of vectorborne diseases such as dengue, chikungunya, and Zika. The worldwide resurgence of dengue since 2005 has affected millions and generated huge disease burden, especially in the tropical developing countries including India. While India has a huge burden of dengue with all four serotypes causing outbreaks in different parts of the country, reports on climate and environmental effects on dengue are sparse. Aims and Objectives: To understand the influence of rainfall on dengue occurrences across India between 2010 and 2016, with emphasis on the most affected states. Methods: Dengue occurrence data was obtained by data mining from the NVBDCP and IDSP websites. Area-weighted-rainfall (ARF) were computed from the division-wise data. Statistical analyses performed to analyze the association between annual ARF and dengue occurrences. Spatio-temporal analyses of dengue outbreaks was conducted. Results: Spatio-temporal analyses revealed that high rainfall was positively associated with the number of cases in the northern states (Indo-gangetic Plains) whereas, the reverse was true for the southern (peninsular) states. The number of rural outbreaks of dengue had also been modulated by annual rainfall. Conclusion: Our study revealed the effect of rainfall on dengue in India. We conclude that rainfall influence the dengue occurrences differently in the northern and the southern states of India.
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