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在加尔各答及其周边地区利用地理空间分析识别霍乱病例聚集情况:来自三级医疗转诊医院患者的数据。

Identifying clustering of cholera cases using geospatial analysis in Kolkata and surrounding districts: data from patients at tertiary care referral hospitals.

作者信息

Talukdar Rounik, Kanungo Suman, Kitahara Kei, Chowdhury Goutam, Mitra Debmalya, Mukhopadhyay Asish Kumar, Deb Alok Kumar, Indwar Pallavi, Sarkar Biswanath Sharma, Samanta Sandip, Muzembo Basilua Andre, Ohno Ayumu, Miyoshi Shin-Ichi, Dutta Shanta

机构信息

ICMR - National Institute for Research in Bacterial Infections, Kolkata, West Bengal, India.

Collaborative Research Centre of Okayama University for Infectious Diseases at ICMR-NIRBI, Kolkata, West Bengal, India.

出版信息

Lancet Reg Health Southeast Asia. 2024 Nov 21;31:100510. doi: 10.1016/j.lansea.2024.100510. eCollection 2024 Dec.

Abstract

BACKGROUND

Cholera cases have increased globally across the Eastern Mediterranean, Africa, Southeast Asia, and parts of Europe since early 2024. This study aims to identify cholera hotspots and understand the spatial distribution of cholera in Kolkata and surrounding regions, a key cholera reservoir. Additionally, we examine sociodemographic factors and aspects related to water, sanitation, and hygiene (WASH).

METHODS

Cholera clusters were detected using kernel density estimation and spatial autocorrelation through Global Moran's-I statistics, with local cluster patterns examined using Local Moran's-I statistics. Cholera cases from August 2021 to December 2023, treated at two tertiary care facilities in Kolkata: Infectious Diseases and Beleghata General Hospital and Dr. B C Roy Post Graduate Institute of Paediatric Sciences Hospital were included. Additionally, through a case-control study, 196 culture-confirmed cholera cases and 764 age/sex-matched neighborhood controls were enrolled, to investigate cholera risk factors.

FINDINGS

Spatial analysis revealed a concentration of 196 cholera cases in Kolkata and its surrounding regions of Howrah, Hooghly, and North and South 24 Parganas. Hotspot analysis showed significant clustering in several Kolkata wards (31, 33, 56, 46, 57, 58, 59, 61, 66, 71, and 107), particularly in the northern, central, and east Kolkata wetlands areas (Global Moran's I statistic = 0.14, p < 0.001). These clusters had proximity between cases, with a median distance of 187.7 m, and 25.5% of cases as close as 73.9 m apart, suggesting localized transmission. Hotspots were identified with an average distance of 1600 m between them. Local Moran's I analysis found dense "high-high" clusters in these areas (p < 0.01), with a mean Moran's I index of 0.3, (range 0.1-4.6). The case-control study revealed that males were more likely to contract cholera, with an adjusted odds ratio of 2.4 (p < 0.01). There was no significant association found between cholera infection and sociodemographic factors or various WASH practices.

INTERPRETATION

The findings emphasize the importance of targeted interventions, especially in identified hotspots, to mitigate cholera transmission. Addressing Socio-economic, and environmental factors especially improvement in WASH practices may further enhance prevention effects.

FUNDING

The author KK, received funding from the program of the Japan Initiative for Global Research Network on Infectious Diseases, (grant id: JP23wm0125004), from the Ministry of Education, Culture, Sports, Science and Technology in Japan, and Japan Agency for Medical Research and Development.

摘要

背景

自2024年初以来,霍乱病例在东地中海、非洲、东南亚和欧洲部分地区全球范围内有所增加。本研究旨在确定霍乱热点地区,并了解加尔各答及其周边地区(一个关键的霍乱疫源地)霍乱的空间分布。此外,我们还研究了社会人口学因素以及与水、环境卫生和个人卫生(WASH)相关的方面。

方法

使用核密度估计和通过全局莫兰指数(Global Moran's-I)统计进行空间自相关检测霍乱聚集区,并使用局部莫兰指数(Local Moran's-I)统计检查局部聚集模式。纳入了2021年8月至2023年12月在加尔各答的两家三级医疗设施(传染病和贝莱加塔综合医院以及BC罗伊儿科科学研究生学院医院)接受治疗的霍乱病例。此外,通过一项病例对照研究,招募了196例经培养确诊的霍乱病例和764名年龄/性别匹配的社区对照,以调查霍乱危险因素。

结果

空间分析显示,加尔各答及其周边的豪拉、胡格利以及北24区和南24区共有196例霍乱病例聚集。热点分析显示,加尔各答的几个病房(31、33、56、46、57、58、59、61、66、71和107)存在显著聚集,特别是在加尔各答北部、中部和东部的湿地地区(全局莫兰指数统计值=0.14,p<0.001)。这些聚集区内病例之间距离较近,中位数距离为187.7米,25.5%的病例相距仅73.9米,表明存在局部传播。确定的热点之间平均距离为1600米。局部莫兰指数分析发现这些区域存在密集的“高高”聚集(p<0.01),平均莫兰指数为0.3(范围为0.1 - 4.6)。病例对照研究显示,男性感染霍乱的可能性更大,调整后的比值比为2.4(p<0.01)。未发现霍乱感染与社会人口学因素或各种WASH实践之间存在显著关联。

解读

研究结果强调了有针对性干预措施的重要性,特别是在已确定的热点地区,以减轻霍乱传播。解决社会经济和环境因素,特别是改善WASH实践,可能会进一步增强预防效果。

资金来源

作者KK获得了日本全球传染病研究网络倡议项目(资助编号:JP23wm0125004)的资金,该项目由日本文部科学省和日本医疗研究与开发机构提供。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7148/11617701/04300975df9c/gr1.jpg

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