Evidence map›Paper›PMID 39354439›Full record

ArticleBMC public health2024

A quarantine paradox: understanding Gender-Based Violence (GBV) in post-COVID-19 era: insights from Golden Valley mining community, Zimbabwe.

Everjoy Magwegwe

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

1 author.

Everjoy MagwegweSouth African Research Chair in South African Art and Visual Culture, University of Johannesburg, Johannesburg, South Africa. everjoymagwegwe@gmail.com.ORCID 0000-0002-4693-4795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has brought unprecedented challenges globally, with a notable surge in gender-based violence (GBV) incidents. This descriptive, exploratory study conducted in the Golden Valley mining community in Kadoma, Mashonaland West Province, Zimbabwe, delves into the challenges faced by GBV survivors during and after the pandemic, alongside community perceptions of GBV in the post-COVID-19 era. Guided by Bronfenbrenner's Social-Ecological Model which offers insights into the various levels of influence on GBV behavior and experiences,aiding in the development of contextually relevant prevention strategies. The study used qualitative methods such as interviews and focus group discussions, there were 24 study participant classified by random and convenient sampling techniques including traditional and community leaders, gbv surviours medical personnel and male and female, community members. The research followed the COREQ guidelines to transparently document the research process and findings. The research sheds light on the multifaceted nature of GBV exacerbated by societal norms and economic instability in a low-income, masculine-dominated work culture experience in the COVID-19 period. Findings underscore the urgent need for comprehensive prevention programs, effective legislation, and community engagement to address GBV in post-pandemic communities. The research provides valuable lessons for enhancing GBV prevention efforts globally, emphasizing the significance of survivor voices and addressing root causes of GBV.

Indexed as

COVID-19Gender-Based ViolenceQuarantineAdultFemaleFocus GroupsHumansInterviews as TopicMaleMiddle AgedMiningPandemicsQualitative ResearchZimbabweCommunity perceptionsCOVID-19 pandemicGender-based violencePrevention strategiesSocial-ecological modelSurvivor experiences

Identifiers

PMID39354439
PMCPMC11443934

What OpenQuestion holds

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LicenceCC BY
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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.