Evidence map›Paper›PMID 36187631›Full record

ArticleFrontiers in public health2022

China's "dynamic clearing" epidemic prevention policy: Achievements, challenges, and prospects.

Quansheng Wang, Lansong Huang

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Modelability of WAR metaphors across time in cross-national COVID-19 news translation: An insight into ideology manipulation.Lingua. International review of general linguistics. Revue internationale de linguistique generale · 2023
    Article
  7. Article
  8. 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.

Quansheng WangLaw School, Shandong University, Weihai, China.
Lansong HuangLaw School, Shandong University, Weihai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 outbreak makes up a major public health emergency, and each country has adopted different epidemic prevention policies and measures. Since the control of COVID-19 in 2020, China has gradually developed a "Dynamic Clearing" epidemic prevention policy of "external input prevention and internal rebound prevention". The policy has been effective in protecting people's lives and health and developing the country's economy as much as possible, but it has also faced some challenges, such as slowing economic development, huge prevention, and control costs, and expanding secondary disasters and risks. Reviewing China's current "dynamic clearing" policy, it is still the overall policy to continuously improve guiding policies, construct scientific prevention measures, and promote digital governance at the grassroots level.

Indexed as

COVID-19ChinaEconomic DevelopmentHumansPublic HealthPublic Policydigital governancedynamic clearingexternal input prevention and internal rebound preventionpeople's lives and healthpublic health emergency

Identifiers

PMID36187631
PMCPMC9516291

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.