Evidence map›Paper›PMID 15325324›Full record

ReviewInternational journal of medical informatics2004

Investigating public health emergency response information system initiatives in China.

Huigang Liang, Yajiong Xue

Abstract readReview
In one paragraph

Review in International journal of medical informatics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  5. Review
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  7. Article
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  12. Review
  13. Control Measures for Human Respiratory Viral Infection.Seminars in respiratory and critical care medicine · 2016
    Review
  14. Article
  15. Emergency Response System for Pollution Accidents in Chemical Industrial Parks, China.International journal of environmental research and public health · 2015
    Article
  16. Temporal and spatial monitoring and prediction of epidemic outbreaks.IEEE journal of biomedical and health informatics · 2015
    Article
  17. Article
  18. Major emerging and re-emerging zoonoses in China: a matter of global health and socioeconomic development for 1.3 billion.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2014
    Review
  19. Article
  20. 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

2 authors.

Huigang LiangDepartment of Information Technology and Operations Management, College of Business, Florida Atlantic University, Ft. Lauderdale, FL 33308, USA. hliang@fau.edu
Yajiong Xue

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases pose a great danger to public health internationally. The outbreak of SARS has exposed China's fragile public health system and its limited ability to detect and respond to emergencies in a timely and effective manner. In order to strengthen its capability of responding to future public health emergencies, China is developing a public health emergency response information system (PHERIS) to facilitate disease surveillance, detection, reporting, and response. The purpose of this study is to investigate the ongoing development of China's PHERIS. This paper analyzes the problems of China's existing public health system and describes the design and functionalities of PHERIS from both technical and managerial aspects.

Indexed as

Disease OutbreaksEmergency Medical ServicesPublic HealthChinaComputer Communication NetworksDisaster PlanningHumansInformation SystemsProgram Evaluation

Identifiers

PMID15325324
PMCPMC7128295

What OpenQuestion holds

Textmetadata
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.