Evidence map›Paper›PMID 41316097›Full record

ArticleBMC public health2025

Hand, foot and mouth disease incidence in mainland China: temporal trends and projections to 2030.

Guo Tian, Shutong Long, Yang Zheng, Yinghua He, Can Chen, Yuxia Du, Shigui Yang, Tianan Jiang, Lanjuan Li

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Guo TianState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China.
Shutong LongState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China.
Yang ZhengState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China.
Yinghua HeDepartment of Clinical Pharmacy, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Can ChenDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yuxia DuDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Shigui YangDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Public Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Tianan JiangDepartment of Ultrasound Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Lanjuan LiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China. ljli@zju.edu.cn.

Funding

This study was supported by the Fundamental Research Funds for the Central Universities, grant No. 2022ZFJH003 2022ZFJH003
6 · The paper itself

Abstract

backgroundHand, foot and mouth disease (HFMD) was an acute infectious disease. This study aimed to estimate the development trend of HFMD.

methodsThe incidence surveillance data of HFMD from 2005 to 2019 mainly came from the Public Health Sciences Data Center of China. Bayesian age-period-cohort (BAPC) model was compared with other models to evaluate the accuracy of the incidence of HFMD and to predict its incidence up to 2030.

resultsA total of 22,559,406 cases of HFMD were reported. The test results showed that BAPC model may be better than Auto-regressive integrated moving average (Auto_arima), Exponential smoothing (ETS), Prophet and Earth models on mean absolute error (MAE), symmetric mean absolute percentage error (SMAPE), mean square error (MSE) and root mean square error (RMSE) indicators. From 2005 to 2019, there was a trend toward increasing HFMD incidence (Average Annual Percent Change (AAPC) = 45.9, 95% CI 15.5, 84.3, p < 0.1) by joinpoint regression analysis. But BAPC model showed that the annual reported incidence of HFMD in mainland China appeared to be on a downward trend by 2030 (954,069.79 cases, 67.3966 cases per 100,000). Spatial-temporal aggregation analysis detected four high-risk areas of a "most likely" cluster (southern central region), a secondary cluster (eastern region) and two tertiary clusters (northern region, southwestern region).

conclusionsIt was important to protect the population, especially children in high-risk areas of HFMD. In high Gross Domestic Product (GDP) per capita areas, especially urban areas, health departments should advise to reduce gathering activities that may cause the spread of HFMD. In areas such as train stations, bus stations, and airports with more floating population, health department should advise travelers not to stay in these areas for a long time.

Indexed as

Hand, Foot and Mouth DiseaseBayes TheoremChildChild, PreschoolChinaFemaleForecastingHumansIncidenceInfantMaleBayesian age-period-cohort modelEpidemiologyfoot and mouth diseaseHandIncidencePublic health

Identifiers

PMID41316097
PMCPMC12751474

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LicenceCC BY-NC-ND
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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.