Study on Entomological Surveillance and its Significance during a Dengue Outbreak in the District of Tirunelveli in Tamil Nadu, India.
Study on Entomological Surveillance and its Significance during a Dengue Outbreak in the District of Tirunelveli in Tamil Nadu, India.
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DOI：
10.1016/j.phrp.2013.04.005
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发表时间：
2013-06-01
影响因子：
4.3
通讯作者：
Kadhiresan, Mahaligam
中科院分区：
文献类型：
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作者：
Basker, Parasuraman;Kannan, Pichai;Kadhiresan, Mahaligam
摘要目的：研究昆虫学监测的意义，采用室内指数（HI）、容器指数（CI）和布雷图指数（BI）对2012年5月印度泰米尔纳德邦蒂鲁纳尔韦里（纬度：8°42′n；经度：77°42′e）登革热大暴发的程度进行估计。方法：在Maruthamputhur村（Pappakudi taluk, Tirunelveli）的一所初级卫生中心（PHC），由训练有素的现场工作人员和志愿者进行抗幼虫（AL）工作，包括挨家挨户搜索伊蚊的未成熟阶段，从而确定HI、CI和BI。第二天，一位初级昆虫学家和一位高级昆虫学家对现场工作人员的工作进行了评估。结果：AL工作前，马鲁塔普瑟市第1 ~ 5周报告发热病例数分别为211例、394例、244例、222例和144例，死亡2例。相比之下，在人工智能工作后，这些数字大大减少，没有发烧相关的死亡（HI从48.2%降至1.6%，CI从28.6%降至0.4%，BI从48.2降至1.6）。结论：由于目前尚无治疗登革热和登革出血热的特异性药物和疫苗，本研究表明昆虫学监测及其意义可用于遏制登革热的爆发。
OBJECTIVES: TO STUDY THE SIGNIFICANCE OF ENTOMOLOGICAL SURVEILLANCE, THE HOUSE INDEX (HI), CONTAINER INDEX (CI), AND BRETEAU INDEX (BI) WERE DETERMINED TO ESTIMATE THE DEGREE OF A MAJOR DENGUE OUTBREAK IN TIRUNELVELI, TAMIL NADU, INDIA (LATITUDE: 8°42'N; Longitude: 77°42'E) in May 2012.METHODS: The HI, CI, and BI were determined in a primary health center (PHC) in the village of Maruthamputhur (Pappakudi taluk, Tirunelveli) by carrying out an antilarval (AL) work that involved door-to-door search for immature stages of Aedes spp. mosquitoes by trained field workers and volunteers. The work of field workers was evaluated by a junior and senior entomologist the following day.RESULTS: Before the AL work, the reported numbers of fever cases from Week 1 to 5 in Maruthamputhur were 211, 394, 244, 222, and 144 with two deaths. By contrast, after the AL work, these numbers were considerably reduced and there was no fever-related death (the HI was reduced from 48.2% to 1.6%, the CI from 28.6% to 0.4%, and the BI from 48.2 to 1.6).CONCLUSION: Because no specific medicine and vaccines are available to treat dengue fever and dengue hemorrhagic fever, entomological surveillance and its significance can be used to halt the outbreak of dengue as shown in this study.