Evidence map›Paper›PMID 25875080›Full record

ArticlePloS one2015

Early detection for cases of enterovirus- and influenza-like illness through a newly established school-based syndromic surveillance system in Taipei, January 2010 ~ August 2011.

Ting Chia Weng, Ta Chien Chan, Hsien Tang Lin, Chia Kun Jasper Chang, Wen Wen Wang, Zheng Rong Tiger Li, Hao-Yuan Cheng, Yu-Roo Chu, Allen Wen-Hsiang Chiu, Muh-Yong Yen and 1 more

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
–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

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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. 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

11 authors.

Ting Chia WengDepartment of Medicine, College of Medicine, National Taiwan University (NTU), Taipei, Taiwan, Republic of China.
Ta Chien ChanResearch Center for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan, R.O.C.
Hsien Tang LinDepartment of Health, Taipei City Government, Taipei, Taiwan, R.O.C.
Chia Kun Jasper ChangInstitute of Epidemiology and Preventive Medicine, College of Public Health, NTU, Taipei, Taiwan, R.O.C.
Wen Wen WangInstitute of Epidemiology and Preventive Medicine, College of Public Health, NTU, Taipei, Taiwan, R.O.C.
Zheng Rong Tiger LiInstitute of Epidemiology and Preventive Medicine, College of Public Health, NTU, Taipei, Taiwan, R.O.C.
Hao-Yuan ChengDepartment of Pediatrics, NTU Hospital, Taipei, Taiwan, R.O.C.
Yu-Roo ChuDepartment of Health, Taipei City Government, Taipei, Taiwan, R.O.C.
Allen Wen-Hsiang ChiuTaipei City Hospital, Department of Health, Taipei City Government, Taipei, Taiwan, R.O.C; School of Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C.
Muh-Yong YenTaipei City Hospital, Department of Health, Taipei City Government, Taipei, Taiwan, R.O.C; School of Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C.
Chwan-Chuen KingInstitute of Epidemiology and Preventive Medicine, College of Public Health, NTU, Taipei, Taiwan, R.O.C.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

School children may transmit pathogens with cluster cases occurring on campuses and in families. In response to the 2009 influenza A (H1N1) pandemic, Taipei City Government officials developed a School-based Infectious Disease Syndromic Surveillance System (SID-SSS). Teachers and nurses from preschools to universities in all 12 districts within Taipei are required to daily report cases of symptomatic children or sick leave requests through the SID-SSS. The pre-diagnosis at schools is submitted firstly as common pediatric disease syndrome-groups and re-submitted after confirmation by physicians. We retrieved these data from January 2010 to August 2011 for spatio-temporal analysis and evaluated the temporal trends with cases obtained from both the Emergency Department-based Syndromic Surveillance System (ED-SSS) and the Longitudinal Health Insurance Database 2005 (LHID2005). Through the SID-SSS, enterovirus-like illness (EVI) and influenza-like illness (ILI) were the two most reported syndrome groups (77.6% and 15.8% among a total of 19,334 cases, respectively). The pre-diagnosis judgments made by school teachers and nurses showed high consistency with physicians' clinical diagnoses for EVI (97.8%) and ILI (98.9%). Most importantly, the SID-SSS had better timeliness with earlier peaks of EVI and ILI than those in the ED-SSS. Furthermore, both of the syndrome groups in these two surveillance systems had the best correlation reaching 0.98 and 0.95, respectively (p<0.01). Spatio-temporal analysis observed the patterns of EVI and ILI both diffuse from the northern suburban districts to central Taipei, with ILI spreading faster. This novel system can identify early suspected cases of two important pediatric infections occurring at schools, and clusters from schools/families. It was also cost-effective (95.5% of the operation cost reduced and 59.7% processing time saved). The timely surveillance of mild EVI and ILI cases integrated with spatial analysis may help public health decision-makers with where to target for enhancing surveillance and prevention measures to minimize severe cases.

Indexed as

Early DiagnosisCost-Benefit AnalysisDiarrheaDisease OutbreaksEnterovirusEnterovirus InfectionsFacultyGeographyHost-Pathogen InteractionsHumansIncidenceInfluenza A Virus, H1N1 SubtypeInfluenza, HumanNursesPopulation SurveillanceSchools

Identifiers

PMID25875080
PMCPMC4398411

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.