Evidence map›Paper›PMID 35912070›Full record

ArticleScientific African2022

Influence of the level of education on women's knowledge, attitude, and practices to control the transmission of COVID-19 in the Democratic Republic of the Congo.

Bernard Yungu Loleka, Keiichi Ogawa

Abstract read
In one paragraph

Article in Scientific African, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Bernard Yungu LolekaGraduate School of International Cooperation Studies, Department of Regional Cooperation Policy Studies, Kobe University, 2-1 Rokkodai-cho, Nada-ku, Kobe 657-8501, Japan.
Keiichi OgawaGraduate School of International Cooperation Studies, Department of Regional Cooperation Policy Studies, Kobe University, 2-1 Rokkodai-cho, Nada-ku, Kobe 657-8501, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adequate knowledge, attitude, and practices (KAP) towards the novel coronavirus (COVID-19) can reduce its spread and may also be useful in preventing and controlling the transmission of severe acute respiratory syndrome coronavirus 2 (ARS-CoV-2) in the community. This study examines the influence of women's education level on COVID-19 KAP behaviour in the Democratic Republic of the Congo (DRC). This study uses COVID-19 data obtained from the Performance Monitoring for Action (PMA) in Kinshasa, the DRC's capital city. Data were collected through telephone interviews held in June 2020 with a representative sample of 1773 women aged 15-49 years. Data were then analysed using multiple probit regression and marginal effects techniques. To address possible sample selection bias due to the use of a telephone to recruit participants, the data were adjusted to account for the selectivity due to telephone number ownership through inverse probability weighting. In general, the results of this study indicate no statistically significant difference in the influence of the level of education on women's KAP to control the transmission of COVID-19 in the DRC, women with higher levels of education are not found to always exhibit improved knowledge, attitude, or practices of appropriate strategies for the prevention and control of COVID-19 in the DRC. The results also indicate that education can have both positive and negative influences in alleviating the burden of COVID-19.

Indexed as

Democratic Republic of the CongoKnowledge, attitude, and practices to control and mitigate the risks of COVID-19Women's education

Identifiers

PMID35912070
PMCPMC9308146

What OpenQuestion holds

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Registered trials

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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.