Geographic information system-aided evaluation of epidemiological trends of dengue serotypes in West Bengal, India.

IF 2.7 4区 医学 Q3 IMMUNOLOGY
Indian Journal of Medical Research Pub Date : 2024-02-01 Epub Date: 2024-04-04 DOI:10.4103/ijmr.ijmr_1055_23
Upasana Baskey, Priya Verma, Palash Mondal, Supradip Dutta, Aritra Biswas, Sagnik Bakshi, Raina Das, Sudipta Bhaduri, Dipankar Maji, Shanta Dutta, Provash Chandra Sadhukhan
{"title":"Geographic information system-aided evaluation of epidemiological trends of dengue serotypes in West Bengal, India.","authors":"Upasana Baskey, Priya Verma, Palash Mondal, Supradip Dutta, Aritra Biswas, Sagnik Bakshi, Raina Das, Sudipta Bhaduri, Dipankar Maji, Shanta Dutta, Provash Chandra Sadhukhan","doi":"10.4103/ijmr.ijmr_1055_23","DOIUrl":null,"url":null,"abstract":"<p><strong>Background objectives: </strong>West Bengal is a dengue-endemic State in India, with all four dengue serotypes in co-circulation. The present study was conceived to determine the changing trends of circulating dengue virus (DENV) serotypes in five consecutive years (2015-2019) using a geographic information system (GIS) during the dengue season in West Bengal, India.</p><p><strong>Methods: </strong>Molecular serotyping of dengue NS1 sero-reactive serum samples from individuals with ≤5 days of fever was performed using conventional nested reverse transcriptase-PCR. GIS techniques such as Getis-Ord Gi* hotspot analysis and heatmap were used to elucidate dengue transmission based on the received NS1-positive cases and vector data analysis was used to point out risk-prone areas.</p><p><strong>Results: </strong>A total of 3915 dengue NS1 sero-positive samples were processed from most parts of West Bengal and among these, 3249 showed RNA positivity. The major circulating serotypes were DENV 3 (63.54%) in 2015, DENV 1 (52.79%) in 2016 and DENV 2 (73.47, 76.04 and 47.15%) in 2017, 2018 and 2019, respectively. Based on the NS1 positivity, dengue infections were higher in males than females and young adults of 21-30 yr were mostly infected. Getis-Ord Gi* hotspot cluster analysis and heatmap indicate that Kolkata has become a hotspot for dengue outbreaks and serotype plotting on maps confirms a changing trend of predominant serotypes during 2015-2019 in West Bengal.</p><p><strong>Interpretation conclusions: </strong>Co-circulation of all the four dengue serotypes was observed in this study, but only one serotype became prevalent during an outbreak. Representation of NS1-positive cases and serotype distribution in GIS mapping clearly showed serotypic shift in co-circulation. The findings of this study suggest the need for stringent surveillance in dengue-endemic areas to limit the impact of dengue and implement better vector-control strategies.</p>","PeriodicalId":13349,"journal":{"name":"Indian Journal of Medical Research","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11050753/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Medical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4103/ijmr.ijmr_1055_23","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/4/4 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background objectives: West Bengal is a dengue-endemic State in India, with all four dengue serotypes in co-circulation. The present study was conceived to determine the changing trends of circulating dengue virus (DENV) serotypes in five consecutive years (2015-2019) using a geographic information system (GIS) during the dengue season in West Bengal, India.

Methods: Molecular serotyping of dengue NS1 sero-reactive serum samples from individuals with ≤5 days of fever was performed using conventional nested reverse transcriptase-PCR. GIS techniques such as Getis-Ord Gi* hotspot analysis and heatmap were used to elucidate dengue transmission based on the received NS1-positive cases and vector data analysis was used to point out risk-prone areas.

Results: A total of 3915 dengue NS1 sero-positive samples were processed from most parts of West Bengal and among these, 3249 showed RNA positivity. The major circulating serotypes were DENV 3 (63.54%) in 2015, DENV 1 (52.79%) in 2016 and DENV 2 (73.47, 76.04 and 47.15%) in 2017, 2018 and 2019, respectively. Based on the NS1 positivity, dengue infections were higher in males than females and young adults of 21-30 yr were mostly infected. Getis-Ord Gi* hotspot cluster analysis and heatmap indicate that Kolkata has become a hotspot for dengue outbreaks and serotype plotting on maps confirms a changing trend of predominant serotypes during 2015-2019 in West Bengal.

Interpretation conclusions: Co-circulation of all the four dengue serotypes was observed in this study, but only one serotype became prevalent during an outbreak. Representation of NS1-positive cases and serotype distribution in GIS mapping clearly showed serotypic shift in co-circulation. The findings of this study suggest the need for stringent surveillance in dengue-endemic areas to limit the impact of dengue and implement better vector-control strategies.

地理信息系统辅助评估印度西孟加拉邦登革热血清型的流行趋势。
背景目标:西孟加拉邦是印度的登革热流行邦,所有四种登革热血清型共同流行。本研究旨在利用地理信息系统(GIS)确定印度西孟加拉邦登革热流行季节登革热病毒(DENV)血清型连续五年(2015-2019 年)的变化趋势:使用传统的巢式反转录酶-PCR技术对发热≤5天的登革热患者的登革热NS1血清反应样本进行分子血清分型。利用Getis-Ord Gi*热点分析和热图等地理信息系统技术,根据接收到的NS1阳性病例阐明登革热传播情况,并利用病媒数据分析指出高危地区:结果:西孟加拉邦大部分地区共处理了 3915 份登革热 NS1 血清阳性样本,其中 3249 份显示 RNA 阳性。主要的流行血清型分别为:2015 年 DENV 3(63.54%),2016 年 DENV 1(52.79%),2017 年、2018 年和 2019 年 DENV 2(73.47%、76.04% 和 47.15%)。根据NS1阳性率,登革热感染男性高于女性,21-30岁的青壮年感染者居多。Getis-Ord Gi*热点聚类分析和热图显示,加尔各答已成为登革热爆发的热点地区,地图上的血清型绘制证实了2015-2019年间西孟加拉邦主要血清型的变化趋势:本研究观察到所有四种登革热血清型的共同流行,但只有一种血清型在疫情爆发期间流行。在 GIS 地图中,NS1 阳性病例和血清型分布清楚地显示了共同流行中的血清型转变。这项研究的结果表明,有必要在登革热流行地区进行严格监测,以限制登革热的影响,并实施更好的病媒控制策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.80
自引率
2.40%
发文量
191
审稿时长
3-8 weeks
期刊介绍: The Indian Journal of Medical Research (IJMR) [ISSN 0971-5916] is one of the oldest medical Journals not only in India, but probably in Asia, as it started in the year 1913. The Journal was started as a quarterly (4 issues/year) in 1913 and made bimonthly (6 issues/year) in 1958. It became monthly (12 issues/year) in the year 1964.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信