ArticleScientific reports2023
Mushroom poisoning outbreaks in Guizhou Province, China: a prediction study using SARIMA and Prophet models.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 9 citations in OpenAlex.
- Spatiotemporal drivers of foodborne disease seasonality pattern in a coastal city of China.BMC public health · 2025Article
- Knowledge, attitude, and practice on mushroom poisoning among residents of Jilin province.BMC public health · 2025Article
- Descriptive study of foodborne disease outbreaks using monitoring data from foodborne disease outbreak surveillance system (FDOSS) in Jiaxing City, China, 2013-2023.BMC public health · 2025Article
- Article
- The association between air pollutants, meteorological factors, and mushroom poisoning cases in Guizhou Province, China: a 5-year time-series study.Frontiers in public health · 2025Article
- Incidence of acute hemorrhagic conjunctivitis in Chongqing: a forecasting study based on mathematical models.Frontiers in public health · 2025Article
- Wild mushroom poisoning in Mengzi city, Yunnan province, China, 2018-2023: an analysis through epidemiological characteristics and time series analysis with SARIMA and holt-winters models.Frontiers in toxicology · 2025Article
- Study on the correlation between the number of mushroom poisoning cases and meteorological factors based on the generalized additive model in Guizhou Province, 2023.BMC public health · 2024Article
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Authors and funding
7 authors at 2 institutions in 1 country.
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Abstract
Mushroom poisoning is a public health concern worldwide that not only harms the physical and mental health of those who are poisoned but also increases the medical and financial burden on families and society. The present study aimed to describe and analyze the current situations and factors influencing mushroom poisoning outbreaks in Guizhou province, Southwest China, between January 2012 and June 2022, and to predict the future trends of its occurrence. Our study provides a basis for the rational formulation of prevention and control and medical resource allocation policies for mushroom poisoning. The epidemiological characteristics and factors influencing mushroom poisoning incidence were analyzed using descriptive epidemiological methods and the chi-squared test, respectively. Then, future occurrence trends were predicted using the SARIMA and Prophet models. In total, 1577 mushroom poisoning incidents were recorded in Guizhou Province, with 7347 exposures, 5497 cases, 3654 hospitalizations, and 93 fatalities. The mortality rate was 4.45% in 1 ~ 6 years higher than other age groups. There were notable geographic and seasonal characteristics, with the number of occurrences much higher in rural areas (1198) than in cities (379), and poisoning cases were more common during the rainy season (June to September). The mortality rate of household poisoning cases was 1.86%, with the most deaths occurring in households. Statistically significant differences were observed in the incidence across various cities, periods, and poisoning locations (P < 0.05). Both models had advantages and disadvantages for prediction. Nevertheless, the SARIMA model had better overall prediction results than the Prophet model (R > 0.9, the residual plot of the prediction results was randomly distributed, and RMSE
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