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班加罗尔附近农村地区登革热和基孔肯雅热负担的空间绘图：一项描述性横断面研究。

Spatial Mapping the Dengue and Chikungunya Burden in a Rural Area near Bangalore: a Descriptive Cross-Sectional Study.

作者信息

Nugehally-Raju Ramesh Masthi, Gattam Divya Bharathi

机构信息

Department of Community Medicine, Kempegowda Institute of Medical Sciences, Rajiv Gandhi University of Health Sciences, Bangalore, India.

出版信息

J Arthropod Borne Dis. 2023 Dec 31;17(4):344-351. doi: 10.18502/jad.v17i4.15297. eCollection 2023 Dec.

DOI:10.18502/jad.v17i4.15297
PMID:38868677
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11164620/
Abstract

BACKGROUND

The burden of dengue and chikungunya diseases across geographical regions of India is poorly quantified more so during Covid19 pandemic and from hospital-based studies. The objective was to assess the prevalence of dengue and chikungunya in the study mainly area and to visualize the spatial distribution of dengue and chikungunya cases using the Quantum Geographic Information System (QGIS).

METHODS

This descriptive cross-sectional study was conducted among the population in villages coming under a medical college's rural field practice area near Bangalore. A total of 31 villages were selected through a simple random sampling method and 3356 subjects were surveyed through household visits. QGIS was used for spatial mapping of cases.

RESULTS

3356 subjects were surveyed, and the prevalence of dengue and chikungunya was 1.13% and 0.02%, respectively. The overall prevalence of dengue and chikungunya cases together was 1.16%. All 39 (100%) cases had reported fever and 31 cases (79.5%) reported myalgia followed by arthralgia 22 (56.4%). QGIS supported spatial mapping of the cases and no clustering of cases was found in the study area.

CONCLUSION

The burden of dengue and chikungunya is under reported, and the surveillance system needs to be strengthened in the rural area. QGIS was found to be useful in the spatial mapping of the cases and there was no clustering of cases observed.

摘要

背景

印度各地理区域登革热和基孔肯雅热疾病的负担尚未得到充分量化，在新冠疫情期间以及基于医院的研究中更是如此。目的是评估主要研究区域登革热和基孔肯雅热的患病率，并使用量子地理信息系统（QGIS）可视化登革热和基孔肯雅热病例的空间分布。

方法

这项描述性横断面研究在班加罗尔附近一所医学院农村实地实践区域内的村庄人群中进行。通过简单随机抽样方法共选取了31个村庄，并通过家访对3356名受试者进行了调查。QGIS用于病例的空间绘图。

结果

对3356名受试者进行了调查，登革热和基孔肯雅热的患病率分别为1.13%和0.02%。登革热和基孔肯雅热病例的总体患病率为1.16%。所有39例（100%）病例均报告有发热，31例（79.5%）报告有肌痛，其次是关节痛22例（56.4%）。QGIS支持病例的空间绘图，研究区域未发现病例聚集。

结论

登革热和基孔肯雅热的负担报告不足，农村地区的监测系统需要加强。发现QGIS在病例的空间绘图中很有用，且未观察到病例聚集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85ac/11164620/274cbdd92efb/JAD-17-344-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85ac/11164620/274cbdd92efb/JAD-17-344-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/85ac/11164620/274cbdd92efb/JAD-17-344-g001.jpg

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