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2023 年贵州省基于广义加性模型的毒蕈中毒病例数与气象因素相关性研究。

Study on the correlation between the number of mushroom poisoning cases and meteorological factors based on the generalized additive model in Guizhou Province, 2023.

机构信息

Institute of Public Health Surveillance and Evaluation, Guizhou Center for Disease Control and Prevention, Guiyang, Guizhou, China.

School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, Guizhou, China.

出版信息

BMC Public Health. 2024 Sep 27;24(1):2628. doi: 10.1186/s12889-024-20050-6.

Abstract

BACKGROUND

Mushroom poisoning is a significant food safety issue in Guizhou Province, China. Studies on this topic are essential for its prevention and control. We aimed to analyze the epidemiological characteristics of mushroom poisoning and study the correlation between its cases and meteorological factors in Guizhou Province.

METHODS

We collected data on mushroom poisoning and meteorological factors in Guizhou Province in 2023. A descriptive analysis was conducted on the epidemiological features of mushroom poisoning and meteorological factors. We used Spearman correlation analysis and the generalized additive model to examine the relationship between meteorological factors and the number of mushroom poisoning cases.

RESULTS

In 2023, mushroom poisoning cases in Guizhou Province were concentrated among individuals aged 20-59. Clinical symptoms were primarily gastrointestinal symptoms and occurrences peaked from June to October, mainly in the northeastern region of the province. Most incidents occurred in households. In 72 mushroom poisoning incidents where species were identified, 33 poisonous mushrooms were found. The number of mushroom poisoning cases in Guizhou Province was positively correlated with each meteorological factor(P < 0.05). The generalized additive model showed a significant nonlinear relationship between DGT, PRE, RHU, SSD, and the number of mushroom poisoning cases (P < 0.05). Interaction analysis showed that the risk of mushroom poisoning in Guizhou Province increased with the rising values of any two of these four meteorological factors.

CONCLUSION

Mushroom poisoning incidents in Guizhou Province are characterized by high-risk groups, seasonality, and specific high-incidence regions and places. Public awareness for high-risk groups and early warnings for high-incidence regions and places should be strengthened every summer and fall. There is a correlation between meteorological factors and the number of mushroom poisoning cases, suggesting that these factors could serve as early warning indicators for the prevention and control of mushroom poisoning.

摘要

背景

蘑菇中毒是中国贵州省的一个重大食品安全问题。对该主题的研究对于预防和控制至关重要。我们旨在分析贵州省蘑菇中毒的流行病学特征,并研究其病例与气象因素之间的相关性。

方法

我们收集了 2023 年贵州省蘑菇中毒和气象因素的数据。对蘑菇中毒和气象因素的流行病学特征进行描述性分析。我们使用 Spearman 相关分析和广义加性模型来检验气象因素与蘑菇中毒病例数之间的关系。

结果

2023 年,贵州省的蘑菇中毒病例主要集中在 20-59 岁的人群中。临床症状主要为胃肠道症状,发病高峰期为 6 月至 10 月,主要集中在该省东北部地区。大多数事件发生在家庭中。在 72 起确定物种的蘑菇中毒事件中,发现了 33 种有毒蘑菇。贵州省的蘑菇中毒病例数与每个气象因素呈正相关(P<0.05)。广义加性模型显示 DGT、PRE、RHU、SSD 与蘑菇中毒病例数之间存在显著的非线性关系(P<0.05)。交互分析表明,随着这四个气象因素中任意两个值的升高,贵州省蘑菇中毒的风险增加。

结论

贵州省的蘑菇中毒事件具有高危人群、季节性和特定高发地区和场所的特征。每年夏秋季应加强对高危人群的宣传教育和对高发地区和场所的预警。气象因素与蘑菇中毒病例数之间存在相关性,提示这些因素可以作为预防和控制蘑菇中毒的预警指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/caf0/11437644/f531a3ba1641/12889_2024_20050_Fig1_HTML.jpg

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