Evidence map›Paper›PMID 38110518›Full record

ArticleScientific reports2023

Mushroom poisoning outbreaks in Guizhou Province, China: a prediction study using SARIMA and Prophet models.

Li Zhang, Qing-Yuan Chen, Su-Fang Xiong, Shu Zhu, Ji-Gui Tian, Jun Li, Hua Guo

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Li ZhangInstitute of Public Health Surveillance and Evaluation, Guizhou Center for Disease Control and Prevention, Guiyang, 550005, China.
Qing-Yuan ChenInstitute of Public Health Surveillance and Evaluation, Guizhou Center for Disease Control and Prevention, Guiyang, 550005, China.
Su-Fang XiongInstitute of Public Health Surveillance and Evaluation, Guizhou Center for Disease Control and Prevention, Guiyang, 550005, China.
Shu ZhuInstitute of Public Health Surveillance and Evaluation, Guizhou Center for Disease Control and Prevention, Guiyang, 550005, China.
Ji-Gui TianInstitute of Public Health Surveillance and Evaluation, Guizhou Center for Disease Control and Prevention, Guiyang, 550005, China.
Jun LiDepartment of Labor Hygiene and Environmental Health, School of Public Health and Wellness, Guizhou Medical University, Guiyang, 550025, China.
Hua GuoInstitute of Public Health Surveillance and Evaluation, Guizhou Center for Disease Control and Prevention, Guiyang, 550005, China. guohua_cqy@163.com.
Guiyang Medical University · CNGuizhou Center for Disease Control and Prevention · CN

Funding

the Guizhou Science and Technology Cooperation Support the Guizhou Science and Technology Cooperation Support ([2017]2972).the National KPlaney R & D the National KPlaney R & D (2017YFC1601805)
6 · The paper itself

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

Indexed as

Mushroom PoisoningAmanitaChinaDisease OutbreaksHospitalizationHumans

Identifiers

PMID38110518
PMCPMC10728177
OpenAlexW4389894027

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.