Evidence map›Paper›PMID 36567742›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2023

Community pandemic prevention and control measures and their influence on citizen satisfaction during the COVID-19 pandemic in China.

Zhengbo Peng, Su Yang, Cong Wang, Xiaojie Bian, Xiaojun Zhang

Open access · greenAbstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 3 institutions in 1 country.

Zhengbo PengSchool of Public Administration and Communication, Guilin University of Technology, Guilin, 541004, China.
Su YangSchool of Public Administration and Communication, Guilin University of Technology, Guilin, 541004, China.
Cong WangSchool of Economics and Management, Fuzhou University, Fuzhou, 350108, China.
Xiaojie BianSchool of Marxism, Guilin University of Technology, Guilin, 541004, China.
Xiaojun ZhangSchool of Economics and Management, Fuzhou University, Fuzhou, 350108, China.
Guilin University of Technology · CNFuzhou University · CNGovernment of Jiangsu Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At the forefront of the fight against the pandemic, the community' s measures and services would have a greater impact than ever before on citizen satisfaction. However, the influence of citizen satisfaction on community pandemic prevention and control measures (CPPCM) during the pandemic is poorly understood. This study aims to investigate the allocation of CPPCM and its impact on CS. The Chinese national data was analyzed for the outcome. (1) Pandemic prevention propaganda (PPP), disinfection (DT), and body temperature tests (BTTs) were the primary measures taken by the Chinese community. (2) The CS for pandemic prevention and control is high, and urban and central Chinese communities express greater satisfaction. (3) The impact of disinfection, body temperature tests, free supplies, and assistance purchasing supplies on CS was greater in rural areas than in urban areas. (4) Regional variations exist in the impact of CS on CPPCM. (5) The number of measures has an inverted U-shaped relationship with citizen satisfaction. This study also suggests that the government should disseminate information about pandemic prevention in a timely manner, provide basic health and medical services, and evaluate the measures taken to avoid the discount effect.

Indexed as

Citizen satisfactionCommunity pandemic prevention and control measuresCOVID-19

Identifiers

PMID36567742
PMCPMC9767881
OpenAlexW4313215559

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.