Evidence map›Paper›PMID 35251749›Full record

ArticleInternational journal of nursing sciences2022

Knowledge of COVID-19 and its prevention among rural residents in Fuqing, China.

Xiaojun Liu, Shanshan Du, Ruimei Feng, Lingjun Yan, Yimin Huang, Weimin Ye

Open access · goldAbstract read
In one paragraph

Article in International journal of nursing sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 2 countries.

Xiaojun LiuDepartment of Health Management, School of Public Health, Fujian Medical University, Fuzhou, China.
Shanshan DuDepartment of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, China.
Ruimei FengDepartment of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, China.
Lingjun YanDepartment of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, China.
Yimin HuangDepartment of Health Management, School of Public Health, Fujian Medical University, Fuzhou, China.
Weimin YeDepartment of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, China.
Fujian Medical University · CNKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRural areas are the weakest place for epidemic prevention and control, yet few studies have specifically conducted surveys in rural areas. The purpose of this study is to assess rural residents' knowledge of the COVID-19 and its prevention in China.

methodsA cross-sectional survey study containing 1,426 samples was conducted in Fuqing, China to assess rural residents' knowledge of the COVID-19 and its prevention. Logistic regression was used to identify potential differences in participants' knowledge of COVID-19 and its prevention and control in different population subgroups.

resultsThe mean and median of residents' knowledge of COVID-19 was 5.53 and 6 points, respectively. The mean and median of residents' knowledge related to self-protection against COVID-19 was 10.34 and 11 points, respectively. Older adults (AOR

conclusionsOur study suggests that when facing a pandemic like COVID-19, the key is to inform the public to understand simple and effective self-protection measures. Therefore, we call on the governments to give priority to publicity and education on self-prevention measures for the targeted populations and regions. This is most evident among the vulnerable groups like those who were unmarried, elderly, and those with low education or low income. Similar suggestions may be of use in other countries as well.

Indexed as

COVID-19KnowledgePandemicsRural populationSelf-protectionSurveys and questionnaires

Identifiers

PMID35251749
PMCPMC8883818
OpenAlexW4214543219

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.