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|本期目录/Table of Contents|

2005—2017年中国大陆肉类及其制品食源性疾病时空特征分析(PDF)

《现代预防医学》[ISSN:1003-8507/CN:51-1365/R]

期数:
2022年22期
页码:
4085-4089
栏目:
营养与食品卫生
出版日期:
2022-11-30

文章信息/Info

Title:
Analysis of spatio-temporal characteristics of foodborne diseases from meat and its products in mainland China from 2005 to 2017
作者:
赵杰1; 王志圆1; 成涵1; 付萍2; 杨淑香1; 郭云昌2
1. 潍坊医学院公共卫生学院，山东 潍坊 261053 ；
2. 国家食品安全风险评估中心，北京 100021
Author(s):
ZHAO Jie*;  WANG Zhi-yuan;  CHENG Han;  FU Ping;  YANG Shu-xiang;  GUO Yun-chang
*School of Public Health, Weifang Medical University, Weifang, Shandong 261053, China
关键词:
食源性疾病; 肉类及其制品; 空间自相关分析; 时空扫描分析
Keywords:
Foodborne diseases;  Meat and its products;  Spatial autocorrelation analysis;  Space-time scan analysis
分类号:
R155.3
DOI:
10.20043/j.cnki.MPM.202204429
文献标识码:
A
摘要:
目的 探究中国大陆肉类及其制品食源性疾病发病人数的时空分布特征，为食源性疾病的防控提供参考依据。方法 基于中国大陆2005—2017年肉类及其制品食源性疾病发病人数，利用ArcGIS 10.8和Geoda软件绘制空间分布地图并进行空间自相关分析，通过SaTScan软件进行时空扫描分析。结果 中国大陆2005—2017年肉类及其制品食源性疾病发病人数月份分布呈现“中间高，两边低”，高峰期集中在6—9月份，并呈现南方地区高北方地区低，东、南部沿海地区高西北、东北地区低的分布特征。全局自相关分析显示，各个城市发病人数呈空间正自相关（Moran I = 0.18，Z = 5.12，P＜0.01），局部自相关分析显示，12个城市呈高-高聚集区。时空扫描分析显示，共检测到15个聚集区域，涉及的城市的数量分别为4、1、1、44、1、2、1、1、22、1、1、1、6、7、1，其中一类聚集区主要分布在云南省的4个城市。结论 2005—2017年中国大陆肉类及其制品食源性疾病存在一定的时空聚集性，各时空聚集区将为制定有针对性的防控策略提供参考依据。
Abstract:
Objective To explore the temporal and spatial distribution characteristics of foodborne diseases from meat and its products in mainland China, and to provide reference for the prevention and control of foodborne diseases. Methods Based on the foodborne disease incidences from meat and its products in mainland China from 2005 to 2017, spatial distribution maps were drawn using ArcGIS 10.8, spatial autocorrelation analysis was performed using Geoda software, and Spatio-temporal scan analysis was performed by using SaTScan software. Results The monthly distribution of the incidence of foodborne diseases from meat and its products in mainland China from 2005 to 2017 showed a shape featuring “high in the middle and low on both sides”, with the peak period concentrated in June-September. Geographically, the incidence was high in the south and low in the north, and high in the east and south coastal areas and low in the northwest and northeast. Global autocorrelation analysis showed that the morbidity in each city was spatially positively autocorrelated (Moran’s I=0.18, Z=5.12, P<0.01), and local autocorrelation analysis showed that 12 cities showed high-high aggregation. The Spatio-temporal scan analysis showed that 15 aggregation areas were detected, and the number of cities involved was 4, 1, 1, 44, 1, 2, 1, 1, 22, 1, 1, 1, 6, 7, and 1, respectively. The primary aggregation areas were mainly distributed in four cities in Yunnan Province. Conclusion There is a certain spatial and temporal aggregation of foodborne diseases from meat and its products in mainland China from 2005 to 2017, which will provide reference for formulating targeted prevention and control strategies.

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备注/Memo

备注/Memo:
基金项目：国家重点研发计划“食品安全关键技术研发专项”（2017Y FC1601502）
作者简介：赵杰（1997—），男，硕士在读，研究方向：公共卫生。
通信作者：郭云昌，E-mail：gych@cfsa.net.cn
更新日期/Last Update: 2022-11-30