Evidence map›Paper›PMID 29445625›Full record

ReviewIranian journal of public health2018

Improvement of Emergency Management Mechanism of Public Health Crisis in Rural China: A Review Article.

Jiaxiang Hu, Chao Chen, Tingting Kuai

Abstract readReview
In one paragraph

Review in Iranian journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

3 authors.

Jiaxiang HuCollege of Economics and Management, Nanjing Agricultural University, Nanjing, China.
Chao ChenCollege of Economics and Management, Nanjing Agricultural University, Nanjing, China.
Tingting KuaiCollege of Economics and Management, Nanjing Agricultural University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the rapid development of social economy in China, various public health emergencies frequently occur. Such emergencies cause a serious threat to human health and public safety, especially in rural China. Owing to flaws in emergency management mechanism and policy, the government is not capable to effectively deal with public health emergencies. Therefore, this study aimed to discuss the path to improve the emergency management mechanism for public health emergency in rural China.

methodsThis study was conducted in 2017 to detect the emergency management mechanism of public health crisis (EMMPHC) in Rural China. Data were collected using the following keywords: Rural China, public health emergency, emergency management mechanism, organization mechanism, operation mechanism in the databases of PubMed, Scopus, Web of Science, and CNKI.

resultsEMMPHC in rural China can be enhanced from the following three aspects. First, a permanent institution for rural emergency management with public health management function is established. Second, the entire process of emergency management mechanism, including the stages of pre-disaster, disaster, and post-disaster, is improved. Finally, investment in rural public health is increased, and an adequate reserve system for emergency resources is formed.

conclusionThe new path of EMMPHC in rural China can effectively help the local government accomplish the dispatch capability in public health emergency, and it has important research significance for the protection of public health and social stability of residents in rural China.

Indexed as

Emergency managementOperation mechanismOrganization mechanismPublic health crisisRural area

Identifiers

PMID29445625
PMCPMC5810378

What OpenQuestion holds

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LicenceCC BY
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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.