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中国北京 2016 年至 2020 年诺如病毒疫情的时空分布及影响因素。

Spatio-temporal distribution and influencing factors of norovirus outbreaks in Beijing, China from 2016 to 2020.

机构信息

Beijing Center for Disease Prevention and Control, No. 16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.

Chinese Center for Disease Control and Prevention, Beijing, 102206, China.

出版信息

BMC Infect Dis. 2023 May 2;23(1):270. doi: 10.1186/s12879-023-08243-7.

Abstract

BACKGROUND

Noroviruses are a leading cause of acute gastroenteritis (AGE) worldwide. The geographical characteristics of norovirus outbreaks in Beijing and their influencing factors remain unknown. This study aimed to explore the spatial distributions, geographical characteristics, and influencing factors of norovirus outbreaks in Beijing, China.

METHODS

Epidemiological data and specimens were collected through the AGE outbreak surveillance system in all 16 districts of Beijing. Data on spatial distribution, geographical characteristics, and influencing factors of norovirus outbreaks were analyzed using descriptive statistics methods. We measured spatial, geographical clustering of high- or low-value deviance from random distribution using Z-scores and P-values as statistical significance measures with Global Moran's I statistics and Getis-Ord Gi in ArcGIS. Linear regression and correlation methods were used to explore influencing factors.

RESULTS

Between September 2016 and August 2020, 1,193 norovirus outbreaks were laboratory-confirmed. The number of outbreaks varied seasonally, typically peaking in spring (March to May) or winter (October to December). Outbreaks primarily occurred around central districts at the town level, and spatial autocorrelation was evident in both the entire study period and in individual years. Hotspots of norovirus outbreaks in Beijing were primarily found in contiguous areas between three central districts (Chaoyang, Haidian, Fengtai) and four suburban districts (Changping, Daxing, Fangshan, Tongzhou). The average population numbers, mean number of all schools, and mean number of kindergartens and primary schools for towns in central districts and hotspot areas were higher than those in suburban districts and non-hotspot areas respectively. Additionally, population numbers and densities of kindergartens and primary schools were influencing factors at the town level.

CONCLUSIONS

Hotspots of norovirus outbreaks in Beijing were in contiguous areas between central and suburban districts with high populations, and high kindergarten and primary school densities were the likely driving forces. Outbreak surveillance needs to focus on contiguous areas between central and suburban districts with increased monitoring, medical resources, and health education.

摘要

背景

诺如病毒是全球急性胃肠炎(AGE)的主要原因。北京诺如病毒暴发的地理特征及其影响因素尚不清楚。本研究旨在探讨中国北京市诺如病毒暴发的空间分布、地理特征及其影响因素。

方法

通过北京市 16 个区的 AGE 暴发监测系统收集流行病学数据和标本。采用描述性统计方法分析诺如病毒暴发的空间分布、地理特征及影响因素。采用 Z 分数和 P 值作为统计学意义的衡量指标,利用全局 Moran's I 统计量和 ArcGIS 中的 Getis-Ord Gi 测量空间和地理上高值或低值离差的聚集程度。采用线性回归和相关方法探讨影响因素。

结果

2016 年 9 月至 2020 年 8 月,实验室确诊 1193 起诺如病毒暴发。暴发的数量随季节变化而变化,通常在春季(3 月至 5 月)或冬季(10 月至 12 月)达到高峰。暴发主要发生在城镇一级的中心区,且在整个研究期间和各年都存在空间自相关。北京市诺如病毒暴发的热点主要位于三个中心区(朝阳、海淀、丰台)和四个郊区(昌平、大兴、房山、通州)之间的连续区域。中心区和热点地区城镇的平均人口数、所有学校的平均数量以及幼儿园和小学的平均数量均高于郊区和非热点地区。此外,人口数量和幼儿园及小学密度是城镇层面的影响因素。

结论

北京市诺如病毒暴发的热点位于人口较多的中心区和郊区之间的连续区域,高幼儿园和小学密度可能是驱动因素。暴发监测需要重点关注中心区和郊区之间的连续区域,增加监测、医疗资源和健康教育。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c454/10152695/3afb51cb90b5/12879_2023_8243_Fig1_HTML.jpg

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