关键词: bacterial foodborne diseases meteorological factors principal component analysis spatio-temporal scanning statistics vector autoregressive model

Mesh : Humans Spatio-Temporal Analysis Climate Meteorological Concepts Bacterial Infections Incidence Vibrio Infections Foodborne Diseases China / epidemiology

来  源:   DOI:10.3390/ijerph20054321   PDF(Pubmed)

Abstract:
Foodborne diseases are a critical public health problem worldwide and significantly impact human health, economic losses, and social dynamics. Understanding the dynamic relationship between the detection rate of bacterial foodborne diseases and a variety of meteorological factors is crucial for predicting outbreaks of bacterial foodborne diseases. This study analyzed the spatio-temporal patterns of vibriosis in Zhejiang Province from 2014 to 2018 at regional and weekly scales, investigating the dynamic effects of various meteorological factors. Vibriosis had a significant temporal and spatial pattern of aggregation, and a high incidence period occurred in the summer seasons from June to August. The detection rate of Vibrio parahaemolyticus in foodborne diseases was relatively high in the eastern coastal areas and northwestern Zhejiang Plain. Meteorological factors had lagging effects on the detection rate of V. parahaemolyticus (3 weeks for temperature, 8 weeks for relative humidity, 8 weeks for precipitation, and 2 weeks for sunlight hours), and the lag period varied in different spatial agglomeration regions. Therefore, disease control departments should launch vibriosis prevention and response programs that are two to eight weeks in advance of the current climate characteristics at different spatio-temporal clustering regions.
摘要:
食源性疾病是全球范围内严重的公共卫生问题,对人类健康产生重大影响。经济损失,和社会动态。了解细菌性食源性疾病的检出率与多种气象因素之间的动态关系,对于预测细菌性食源性疾病的暴发至关重要。本研究从区域和周尺度分析了浙江省2014-2018年弧菌病的时空格局,调查各种气象因素的动态影响。弧菌病具有明显的聚集时空格局,高发期发生在6月至8月的夏季季节。副溶血性弧菌在食源性疾病中的检出率在东部沿海地区和浙西北平原较高。气象因素对副溶血性弧菌检出率有滞后性影响(3周温度,相对湿度8周,8周的降水,和2周的日照时间),不同空间集聚区的滞后期不同。因此,疾病控制部门应在不同时空聚集区域的当前气候特征之前2至8周启动弧菌病预防和应对计划。
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