Evidence map›Paper›PMID 35473588›Full record

ArticleBMC infectious diseases2022

Prototypes virus of hand, foot and mouth disease infections and severe cases in Gansu, China: a spatial and temporal analysis.

Haixia Liu, Yuzhou Zhang, Hong Zhang, Yunhe Zheng, Faxiang Gou, Xiaoting Yang, Yao Cheng, Hannah McClymont, Hui Li, Xinfeng Liu and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

11 authors at 3 institutions in 2 countries.

Haixia LiuDivision of Infectious Diseases, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Yuzhou ZhangSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Hong ZhangDivision of Infectious Diseases, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Yunhe ZhengDivision of Infectious Diseases, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Faxiang GouDivision of Infectious Diseases, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Xiaoting YangDivision of Infectious Diseases, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Yao ChengDivision of Infectious Diseases, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Hannah McClymontSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia.
Hui LiDivision of Infectious Diseases, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Xinfeng LiuDivision of Infectious Diseases, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China. 1834587292@qq.com.
Wenbiao HuSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD, Australia. w2.hu@qut.edu.au.
Gansu Provincial Center for Disease Control and Prevention · CNQueensland University of Technology · AUZhejiang Business Technology Institute · CN

Funding

Health and Family Planning Commission of Gansu GSWSKY-2019-83
6 · The paper itself

Abstract

backgroundLittle research has been conducted on the spatio-temporal relationship between the severe cases and the enteroviruses infections of hand, foot and mouth disease (HFMD). This study aimed to investigate epidemic features and spatial clusters of HFMD incidence rates and assess the relationship between Enterovirus 71 (EV71) and Coxsackievirus A16 (CoxA16) and severe cases of HMFD in Gansu province, China.

methodsWeekly county-specific data on HFMD between 1st January and 31st December 2018 were collected from the China Infectious Disease Information System (CIDIS), including enterovirus type (EV71 and CoxA16), severe and non-severe cases in Gansu province, China. Temporal risk [frequency index (α), duration index (β) and intensity index (γ)] and spatial cluster analysis were used to assess epidemic features and identify high-risk areas for HFMD. Time-series cross-correlation function and regression model were used to explore the relationship between the ratios of two types of viruses (i.e. EV71/Cox16) (EC) and severe cases index (i.e. severe cases/non-severe cases) (SI) of HFMD.

resultsSome counties in Dingxi City, Gansu were identified as a hot spot for the temporal risk indices. Time-series cross-correlation analysis showed that SI was significantly associated with EC (r = 0.417, P < 0.05) over a 4-week time lag. The regression analysis showed that SI was positively associated with EC (β = 0.04, 95% confidence interval (CI) 0.02-0.06).

conclusionThe spatial patterns of HFMD incidence were associated with enteroviruses in Gansu. The research suggested that the EC could be considered a potential early warning sign for predicting severe cases of HFMD in Gansu province.

Indexed as

EnterovirusEnterovirus InfectionsHand, Foot and Mouth DiseaseChinaDNA VirusesHumansCoxsackievirus A16Enterovirus 71Foot and mouth diseaseHandPredictingSevere cases

Identifiers

PMID35473588
PMCPMC9040212
OpenAlexW4224434069

What OpenQuestion holds

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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.