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2010 - 2014年印度的降雨量与基孔肯雅热发病率

Rainfall and Chikungunya incidences in India during 2010-2014.

作者信息

Shil Pratip, Kothawale Dilip R, Sudeep Anakkathil B

机构信息

1National Institute of Virology, 130/1 Sus Road, Pashan, Pune, Maharashtra 411021 India.

2Indian Institute of Tropical Meteorology, Dr. Homi Bhabha Road, Pune, 411008 India.

出版信息

Virusdisease. 2018 Mar;29(1):46-53. doi: 10.1007/s13337-018-0428-6. Epub 2018 Feb 14.

Abstract

Changing climate scenario has resulted in recent emergence and re-emergence of various arboviral diseases including Chikungunya. This disease is caused by Chikungunya virus (CHIKV), which belongs to family of viruses and spread by mosquitoes. A resurgence of CHIKV and its rapid global spread has been observed since 2004. The disease reemerged in India in 2005, after a gap of 32 years, causing massive outbreaks in some states and circulating thereafter. In the present paper we analyze CHIKV incidence data from India (2010-2014) with a view to understand association with environmental parameters, if any. Data on country-wide occurrences of CHIKV cases were considered from the National Vector Borne Disease Control Board, India. Meteorological data for different climatic subdivisions of India were obtained and processed mathematically. State-wise association of number of cases with rainfall, if any, were studied by statistical analyses. We observe that prevailing temperature range was favorable for CHIKV propagation and the occurrences were modulated by average rainfall. Most affected states were West Bengal, Maharashtra and Karnataka. Overall for India, favorable climatic conditions have contributed to incidences of CHIKV during the study period. There is strong positive association between rainfall variations and occurrence of CHIKV cases.

摘要

气候变化导致包括基孔肯雅热在内的各种虫媒病毒疾病近期出现和再次出现。这种疾病由基孔肯雅病毒(CHIKV)引起,该病毒属于病毒科,通过蚊子传播。自2004年以来,观察到CHIKV的再次出现及其在全球的迅速传播。该疾病在间隔32年后于2005年在印度再次出现,在一些邦引发大规模疫情,并随后传播开来。在本文中,我们分析了印度(2010 - 2014年)的CHIKV发病数据,以了解其与环境参数(若有)之间的关联。印度全国范围内CHIKV病例发生情况的数据来自印度国家媒介传播疾病控制委员会。获取了印度不同气候分区的气象数据并进行了数学处理。通过统计分析研究了病例数与降雨量在各邦层面的关联(若有)。我们观察到,当时的温度范围有利于CHIKV传播,其发病情况受平均降雨量调节。受影响最严重的邦是西孟加拉邦、马哈拉施特拉邦和卡纳塔克邦。总体而言,在研究期间,有利的气候条件促成了印度CHIKV的发病情况。降雨量变化与CHIKV病例的发生之间存在很强的正相关。

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