Evidence map›Paper›PMID 41291593›Full record

ArticleBMC public health2025

Sexual abuse and unwanted pregnancies amongst women and girls in Malawi during the COVID-19 pandemic.

Lana Clara Chikhungu, Ugochi Nkwunonwo

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Lana Clara ChikhunguSchool of Area Studies, Sociology, History, Politics and Literature, Faculty of Humanities and Social Sciences, University of Portsmouth, Milldam Building, Portsmouth, History, PO1 3AS, UK. lana.chikhungu@port.ac.uk.
Ugochi NkwunonwoSchool of Area Studies, Sociology, History, Politics and Literature, Faculty of Humanities and Social Sciences, University of Portsmouth, Milldam Building, Portsmouth, History, PO1 3AS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViolence against women and girls increased during the COVID-19 pandemic across the globe. This study investigates the extent to which the COVID-19 pandemic contributed to sexual abuse towards women and girls in Malawi and explores if there was an association between reported cases of sexual abuse (rape and defilement) and the number of women and girls accessing post-abortion care services across Malawi's four administrative regions: Northern, Central, Eastern, and Southern.

methodsThe study employed an explanatory mixed-methods approach. Administrative data from 2018 to 2021 on reported cases of rape and defilement obtained from the Malawi Police and on the number of women that accessed post-abortion care services from Malawi Public Health facilities was analysed. This was followed by key informant interviews (KIIs) with regional child protection officers and district-level health personnel. Descriptive statistics and bivariate analysis were conducted for the quantitative data, and a thematic analysis was performed for the qualitative data.

resultsDuring the first wave of the COVID-19 pandemic, school closures were followed by an increased number of reported cases of defilement. Reported cases of rape and defilement increased across all regions except for the Northern region, where a decline was registered. Access to post-abortion care services declined in the Northern and Central regions while slight increases were registered in the Southern and Eastern regions. No association was established between the percentage change in reported cases of defilements and the percentage change in the number of women and girls accessing post-abortion care for the period before and after the COVID-19 pandemic.

conclusionsPeriods of adversity worsen child sexual abuse and lead to a lot of unwanted/unplanned pregnancies and unwanted children. To deal with teenage pregnancies, girls dropping out of school, and poor childbirth outcomes, in addition to programmes that address child marriage and early sexual initiation practices, more interventions should also be directed towards tackling child sexual abuse within the home.

Indexed as

COVID-19Pregnancy, UnwantedSex OffensesAbortion, InducedAdolescentAdultFemaleHumansMalawiPandemicsPregnancyRapeYoung AdultAbortionCOVID-19DefilementMalawiRapeSexual abuseUnwanted pregnancy

Identifiers

PMID41291593
PMCPMC12764007

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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.