Evidence map›Paper›PMID 25378756›Full record

ArticleBulletin of the World Health Organization2014

Hand, foot and mouth disease in China: evaluating an automated system for the detection of outbreaks.

Zhongjie Li, Shengjie Lai, Honglong Zhang, Liping Wang, Dinglun Zhou, Jizeng Liu, Yajia Lan, Jiaqi Ma, Hongjie Yu, David L Buckeridge and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.6field-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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Article
  7. Article
  8. Article
  9. 'Outbreak Gold Standard' selection to provide optimized threshold for infectious diseases early-alert based on China Infectious Disease Automated-alert and Response System.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2017
    Article
  10. Article
  11. Article
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  13. Article
  14. Hand-Washing: The Main Strategy for Avoiding Hand, Foot and Mouth Disease.International journal of environmental research and public health · 2016
    Article
  15. Article
  16. Is a multivalent hand, foot, and mouth disease vaccine feasible?Human vaccines & immunotherapeutics · 2015
    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

14 authors at 4 institutions in 3 countries.

Zhongjie LiKey Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China .
Shengjie LaiKey Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China .
Honglong ZhangKey Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China .
Liping WangKey Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China .
Dinglun ZhouWest China School of Public Health, Sichuan University, Chengdu, China .
Jizeng LiuSinosoft Company, Beijing, China .
Yajia LanWest China School of Public Health, Sichuan University, Chengdu, China .
Jiaqi MaKey Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China .
Hongjie YuKey Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China .
David L BuckeridgeDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Canada .
Chakrarat PittayawongananInternational Field Epidemiology Training Programme, Ministry of Public Health, Nonthaburi, Thailand .
Archie C A ClementsResearch School of Population Health, The Australian National University, Canberra, Australia .
Wenbiao HuSchool of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia .
Weizhong YangKey Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206, China .
Sichuan University · CNAustralian National University · AUMcGill University · CAQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the performance of China's infectious disease automated alert and response system in the detection of outbreaks of hand, foot and mouth (HFM) disease.

methodsWe estimated size, duration and delay in reporting HFM disease outbreaks from cases notified between 1 May 2008 and 30 April 2010 and between 1 May 2010 and 30 April 2012, before and after automatic alert and response included HFM disease. Sensitivity, specificity and timeliness of detection of aberrations in the incidence of HFM disease outbreaks were estimated by comparing automated detections to observations of public health staff.

findingsThe alert and response system recorded 106,005 aberrations in the incidence of HFM disease between 1 May 2010 and 30 April 2012 - a mean of 5.6 aberrations per 100 days in each county that reported HFM disease. The response system had a sensitivity of 92.7% and a specificity of 95.0%. The mean delay between the reporting of the first case of an outbreak and detection of that outbreak by the response system was 2.1 days. Between the first and second study periods, the mean size of an HFM disease outbreak decreased from 19.4 to 15.8 cases and the mean interval between the onset and initial reporting of such an outbreak to the public health emergency reporting system decreased from 10.0 to 9.1 days.

conclusionThe automated alert and response system shows good sensitivity in the detection of HFM disease outbreaks and appears to be relatively rapid. Continued use of this system should allow more effective prevention and limitation of such outbreaks in China.

Indexed as

Disease OutbreaksChinaDisease NotificationFemaleHand, Foot and Mouth DiseaseHumansMalePopulation SurveillanceSensitivity and Specificity

Identifiers

PMID25378756
PMCPMC4208569
OpenAlexW2018063128

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.