Evidence map›Paper›PMID 34442157›Full record

ArticleHealthcare (Basel, Switzerland)2021

The Chinese Government's Response to the Pandemic: Measures, Dynamic Changes, and Main Patterns.

Yuxi He, Maorui Li, Qixi Zhong, Qi Li, Ruishi Yang, Jing Lin, Xiaojun Zhang

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Health Services Utilization in China during the COVID-19 Pandemic: Results from a Large-Scale Online Survey.International journal of environmental research and public health · 2022
    Article
  3. 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

7 authors.

Yuxi HeSchool of Economics and Management, Fuzhou University, Fuzhou 350108, China.
Maorui LiSchool of Economics and Management, Fuzhou University, Fuzhou 350108, China.
Qixi ZhongSchool of Public Administration and Policy, Renmin University of China, Beijing 100872, China.
Qi LiSchool of Economics and Management, Fuzhou University, Fuzhou 350108, China.
Ruishi YangSchool of Economics and Management, Fuzhou University, Fuzhou 350108, China.
Jing LinSchool of Economics and Management, Fuzhou University, Fuzhou 350108, China.
Xiaojun ZhangSchool of Economics and Management, Fuzhou University, Fuzhou 350108, China.ORCID 0000-0003-4290-9629

Funding

Fuzhou University GXRC202001
6 · The paper itself

Abstract

(1) Background: The governance measures that governments deploy vary substantially across countries and even within countries; there is, however, limited knowledge of the responses of local governments or from different areas in the same country. (2) Methods: By using grounded theory and an automatic text processing method, this study analyses the pandemic governance measures, the pandemic governance pattern, and possible factors across 28 provinces in mainland China based on the text of 28 official provincial government Sina microblogs dating from 20 January to 1 July 2020. (3) Results and discussion: The provincial pandemic governance patterns in China are divided into a pathogen-control pattern, a diagnosis and treatment consolidation pattern, a balanced promotion pattern, a quick-adjustment response pattern, and a recovery-oriented pattern. The pandemic severity, economic development, public health service, and population structure may all have an impact on pandemic governance measures. (4) Conclusions: The conclusions of this study may help us to reconstruct governance systems related to global public health emergencies from the perspective of normalisation, as well as providing important clarification for management and a reference for countries seeking to curb the global spread of a pandemic.

Indexed as

COVID-19dynamic changesofficial government Weibo textpandemic governance measurespandemic governance patterns

Identifiers

PMID34442157
PMCPMC8393519

What OpenQuestion holds

Textmetadata
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.