Evidence map›Paper›PMID 41134834›Full record

ArticlePloS one2025

Epidemiological characteristics of hand, foot and mouth disease in Pingdu, Shandong, China from 2013 to 2023 and DLNM analysis of its variation with temperature.

Hua Zhang, ChangLan Yu, DaiXia Yang, Wei Zhang, ShouJie Dai, Hui Lv, XiaoLin Liu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Hua ZhangDazeshan Town Health Center, Pingdu City, Qingdao, China.
ChangLan YuYantai Center for Disease Control and Prevention, Yantai, China.
DaiXia YangPingdu Center for Disease Control and Prevention, Qingdao, China.
Wei ZhangDazeshan Town Health Center, Pingdu City, Qingdao, China.
ShouJie DaiPingdu Center for Disease Control and Prevention, Qingdao, China.
Hui LvShandong Center for Disease Control and Prevention, Jinan, China.
XiaoLin LiuShandong Center for Disease Control and Prevention, Jinan, China.ORCID https://orcid.org/0009-0008-9118-0727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study is to describe the epidemiological situation of HFMD in Pingdu over the past decade, and investigate the relationship between environmental factors, specifically temperature, and the incidence of hand, foot and mouth disease.

methodsStatistical techniques, including Distributed Lag Non-linear Models and spatial autocorrelation analysis, were employed to elucidate epidemiological characteristics of hand, foot and mouth disease in Pingdu and the non-linear effects time-lagged relationships of temperature on the incidence.

resultsThe incidence of hand, foot and mouth disease in Pingdu exhibits seasonal distribution, and the incidence rate is highest from May to August each year. The spatial distribution shows almost no spatial autocorrelation. Children under the age of 7 account for 91.09% of HFMD cases, with an obvious trend of increased incidence in older age groups by 2023. Notably, severe cases predominantly occurred in children under 3 years old, and EV-A71 accounts for a higher proportion compared with other enteroviruses. The pathogen types of hand, foot and mouth disease have changed from mainly EV-A71 and CVA16 to other enteroviruses. When the daily maximum temperature reaches 33.4°C, the relative risk (RR = 1.33) is highest at the one lag day.

conclusionThis study reveals the epidemiological characteristics and climate risk factors of hand, foot and mouth disease in Pingdu. It is important to note that children, especially those under the age of 3, are the key population for the prevention and control of hand, foot and mouth disease. It is recommended that health authorities incorporate temperature into the formulation of hand, foot and mouth disease prevention and control policies.

Indexed as

Hand, Foot and Mouth DiseaseTemperatureChildChild, PreschoolChinaFemaleHumansIncidenceInfantMaleSeasons

Identifiers

PMID41134834
PMCPMC12551877

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LicenceCC BY
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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.