Skip to main content
Download PDF

Global prevalence of intimate partner violence during the COVID-19 pandemic among women: systematic review and meta-analysis

BMC Women's Health volume 24, Article number: 127 (2024) Cite this article

Abstract

Background

During the coronavirus pandemic, people faced strict preventive measures, including staying at home and maintaining social distance, which led to increasing rates of intimate partner violence. Women have been facing dual health emergencies, including COVID-19 and domestic violence. Despite this, there is a lack of representative data on intimate partner violence during the COVID-19 pandemic and inconsistent findings.

Methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used to develop the systematic review and meta-analysis. All English-language studies conducted between 31 December 2019 and May 15/2022 were extracted from databases such as PubMed/Medline, CINAHL, and Google Scholar. The quality of the articles was assessed using the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI). The I2 was used to assess heterogeneity among studies. Publication bias was assessed using funnel plot inspection and Egger’s test. A random effect model was used for the analysis using RevMan and STATA 14 software.

Result

A total of 5065 studies were retrieved, and 14 studies were included in the final meta-analysis. The pooled prevalence of intimate partner violence was 31% (95% CI: 22, 40). Subgroup analysis based on region showed that the highest prevalence of intimate partner violence was in developing regions (33, 95% CI: 23.0, 43.0) compared to developed regions (14, 95% CI: 11.0, 17.0). Subgroup analysis based on country showed that Uganda had the highest prevalence of IPV 68% (95% CI: 62.0, 72.0), and the lowest was in the USA 10% (95% CI: 7.0, 15.0).

Conclusion

Nearly one in three women experienced intimate partner violence during the COVID-19 pandemic. Subgroup analysis based on region showed that the highest prevalence of intimate partner violence was in developing regions (33%). All forms of intimate partner violence (physical, sexual, emotional, and economic) were prevalent. Thus, available interventions should be implemented to alleviate women’s intimate partner violence during the COVID-19 pandemic and similar emerging and remerging pandemics, particularly in developing countries.

Trial registration

PROSPERO registration number: CRD42022334613.

Peer Review reports

Introduction

Gender-based violence (GBV) is any cruelty directed at individuals based on their sex, gender identity, or socially defined way of femaleness and maleness [1,2,3]. Violence against women is the primary form of GBV and is a basic violation of women’s human rights [1,2,3,4,5]. Threats, coercion, and denial of liberty against women are some of the violence against women [5,6,7]. The main actors of violence against women are male partners, including husbands, fiancées, or ex-partners, often referred to as intimate partners [5,6,7,8]. The World Health Organization (WHO) defines intimate partner violence as any behaviour within an intimate relationship by an intimate partner that causes physical, psychological, and sexual harm to those in the relationship, and it is one of the most common types of violence experienced by women [7,8,9].

Intimate partner violence is a serious, highly prevalent, preventable public health problem that violates women’s rights [10]. It has been exacerbated during the COVID-19 pandemic following control and prevention actions such as isolation, stay-at-home, and movement restrictions, targeted at reducing the pandemic have brought vulnerable women and potential perpetrators under the confines of the home setting and have increased the risk of IPV [11,12,13]. Globally, one in three women experiences physical, sexual, or psychological harm from an intimate partner or ex-partner [14, 15]. The World Health Organization (WHO) and European Commission evidence indicated a ‘shadow pandemic’, with the strong potential of increased IPV across the globe as seen during the Ebola pandemic. At the beginning of the pandemic (March–April), community-based victim organizations reported a 25–50% increase in hotline calls, up to a 150% increase in website traffic, and a 12.5% increase in IPV-related police activity [16,17,18,19].

Lockdown declarations following the COVID-19 pandemic in several countries of developed countries increased intimate partner violence by 20%, 21–35%, 32–36%, and 30–50% [12, 20]. In Africa, approximately 36.6% of women experience lifetime physical or sexual IPV [7]. During the COVID-19 pandemic, in Kenya (35%), Somalia (50%), South Africa (10660), Niger (499 cases) and Ethiopia (12.9%), Intimate partner violence has been reported to be as high as before [21]. In Ethiopia, more than 100 girls have been raped during COVID-19 within less than 2 months, and some of them are close family members [13].

Intimate partner violence has a complex and multifaceted health outcome, including physical, mental, sexual, and reproductive health issues, which, in turn, result in a high degree of women’s morbidity and mortality [22]. A study performed by the WHO showed that women who experienced violence were twice as likely to have an abortion and doubled their likelihood of falling into depression [23]. Approximately 41% of female IPV survivors experience some form of physical injury [24]. IPV can also extend beyond physical injury and result in death. Data from U.S. crime reports suggest that 16% of murder victims are killed by an intimate partner and that over 40% of female homicide victims in the U.S. are killed by an intimate partner [25].

There are policies and strategies implemented to overcome the problem at the global or local level just before and after the pandemic, including teaching safe and healthy relationship skills, engaging influential adults and peers, disrupting developmental pathways toward IPV, creating protective environments, strengthening economic support for families, and supporting survivors. Increased safety and lessened harm, commitment, cooperation, and leadership from numerous sectors, including public health, education, justice, health care, social services, business and labor, and government [26,27,28,29,30,31]. Despite this intervention, intimate partner violence remains a major public health problem during the COVID-19 pandemic. Moreover, there is a lack of representative data on intimate partner violence during the COVID-19 pandemic and inconsistent findings. Therefore, this systematic review and meta-analysis aimed to estimate the pooled prevalence of intimate partner violence during the COVID-19 pandemic among women.

Methods

Protocol and registration

These systematic reviews and meta-analyses were registered with the International Prospective Register of Systematic Reviews PROSPERO with an ID number (CRD42022334613) available at https://www.crd.york.ac.uk/prospero/#myprospero.

Form of violence

Physical violence includes slapping, hitting, kicking and beating.

Sexual violence includes forced sexual intercourse and other forms of sexual coercion.

Emotional (psychological) abuse includes insults, belittling, constant humiliation, intimidation (e.g., destroying things), threats of harm, and threats to take away children.

Controlling behaviours, including isolating a person from family and friends; monitoring their movements; and restricting access to financial resources, employment, education or medical care.

Search strategy and appraisal of studies

All published studies conducted in different countries that reported intimate partner violence during COVID-19 from December 2019 to May 2022 were included. The search was limited to peer-reviewed, indexed scientific journals and written in English. “The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [32] were used to develop the present systematic review using PRISMA checklist − 2020 (supplementary material file 1).

Article searches were conducted in databases including PubMed/MEDLINE, CINAHL, and Google Scholar. Medical Subject Headings (MeSH) terms and entry terms were used to search studies, and amendments were made based on the types of databases. The key terms and entry terms were connected by Boolean operators (supplementary material file 2). Screening was conducted independently by both authors (ME and EW), and disagreements were resolved through discussion with the third author (SB). Using a snowballing technique, references of eligible studies and relevant reviews were also searched.

Eligibility criteria

The study included studies performed in different countries (globally), observational study designs included cross-sectional and cohort studies, published and unpublished studies, studies that reported the prevalence of intimate partner violence during COVID-19, only quantitative results for studies that reported both quantitative and qualitative results, English published articles, women having intimate partner violence, and studies conducted since COVID-19 identified in Wuhan, China from December 2019 to May 2022 (databases search date may 15–30/2022) were included. However, studies other than English, articles with no available full text and no response for relevant missing data after email contact with the corresponding author, case and conference reports, reviews, letters, and qualitative results for studies that reported both quantitative and qualitative results were excluded.

CoCoPop/PEO

Condition : Women’s intimate partner violence during the COVID-19 pandemic.

Context: worldwide.

Population: women with partners.

Exposure of interest : exposure is a determinant that increases or decreases the likelihood of intimate partner violence during the COVID-19 pandemic. The determinants can be but are not limited to age, residence, husbands’ educational status, decision-making power, social support, wealth index, history of abortion, arranged marriage, history of child death, controlling behaviour of the husband, and COVID-19 pandemic.

Outcome/condition : The outcome of the study was the pooled prevalence of intimate partner violence during COVID-19. Intimate partner violence includes physical, sexual, and emotional abuse and controlling behaviours by an intimate partner [7].

Study selection

Two independent reviewers (ME and EW) screened the searched studies. Duplicate articles were removed, assessments of articles using their titles and abstracts were performed, and irrelevant titles and abstracts were removed. A full-text review of relevant studies was performed before the inclusion of studies in the final meta-analysis. Disagreements among reviewers during the review process were resolved through discussion with the third author (SB). Endnote reference manager software [33] was used to collect and remove duplicate, irrelevant titles and abstracts.

Quality assessment

During the screening process, two independent reviewers (ME and EW.) performed the quality assessment and evaluated the risk of bias in eligible studies. The “Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI)” tool was used to critically appraise the quality of the studies (supplementary material file 3) [34]. The components of the quality assessment were clear inclusion criteria, study population and setting, measurement criteria, event and exposure measurements, and appropriate statistical analysis. During the critical quality appraisal of the studies, any disagreement among the authors was resolved by discussion with the third author (SB).

Data extraction

Data were extracted independently by two authors (ME and EW) using a pilot test data extraction Excel sheet and RevMan software. The outcome data extraction format contains the authors’ names, publication year, countries, study design, study setting, and sample size. Any disagreement was resolved through discussion with the third author (SB). In the case of incomplete results, email contact with the corresponding author was made, and articles were excluded if no response was made.

Statistical analysis

The final included studies were imported to STATA version 14 to determine the pooled prevalence. The results were reported in narrative descriptions, tables, and graphs. A random-effects model was used to estimate the true effect at the 95% CI [35].

The results were reported using a forest plot with respective odds ratios and 95% CIs. Heterogeneity among the included studies was assessed by visual graphical inspection of the forest plot [36] and statistically using the I2 statistic [37]. I2 statistics of 25, 50, and 75% indicated low, moderate, and increased levels of heterogeneity, respectively, with p < 0.05.

Publication bias was identified using visual inspection of the funnel plot. In addition, evidence of publication bias was assessed statistically using Egger’s tests [38] at p < 0.05. The differences in heterogeneity between the studies were performed by subgroup analysis and meta-regression [39] based on country, study area (developed/developing), and sample size.

Results

Study selection

A total of 5065 articles were collected from PubMed/MED-LINE, CINAHL, and Google Scholar. All articles were imported into EndNote software (version X8; Thomson Reuters, New York, NY), and 37 articles were excluded due to duplications. A total of 4884 articles were excluded after a review of their titles and abstracts. A total of 144 articles were assessed for eligibility based on the preset criteria. A total of 130 articles were excluded because the outcome of interest was not reported, and qualitative studies were excluded. Finally, 14 articles were eligible and included in this meta-analysis (Fig. 1).

Fig. 1
figure 1

Flow chart of study selection for meta-analysis of IPV among women during the COVID-19 pandemic, 2022

Full size image

Quality appraisal

All the included studies met a minimum of four out of eight (50% and above) JBI critical appraisal scores. The criteria for inclusion were clearly defined in all studies. Strategies to address confounding factors and appropriate statistics were made in all included studies. However, since all the included studies were cross-sectional studies, the identification of confounding factors was not applicable for this study (supplementary material file 4).

Characteristics of included studies

All 14 studies in this systematic review and meta-analysis were cross-sectional studies; eight of them were conducted in Ethiopia [4, 13, 40,41,42,43,44,45], one was conducted in Congo [46], one was conducted in Uganda [47], one was conducted in Bangladesh [48], one was conducted in Arab countries [49], one was conducted in Canada [50], and one was conducted in the USA [51]. A total of 8335 women with intimate partners were involved in our study. The sample size of the studies ranged from 216 [50] to 2002 [46]. In this review, the lowest prevalence (7.1%) of intimate partner violence was in St. Paul’s Hospital, Ethiopia [45], while the highest prevalence (68%) of IPV was reported in Uganda 48 (Table 1).

Table 1 Descriptive Characteristics of the included Studies (n = 14)
Full size table

Pooled prevalence of any form of intimate partner violence among women during COVID-19

The pooled prevalence of intimate partner violence among women was 31% (95% CI: 22, 40)). In this review, the lowest prevalence (7.1%) of IPV was in St. Paul’s Hospital, Ethiopia [45], while the highest prevalence (68%) of intimate partner violence was reported in Uganda [51]. The included studies exhibited significant heterogeneity (I2 = 99.07, p < 0.001) (Fig. 2).

Fig. 2
figure 2

Forest plot showing the pooled prevalence of IPV among women during the COVID-19 pandemic

Full size image

Subgroup analysis

Subgroup analysis was performed based on region (developed/developing) and country to identify the possible source of heterogeneity. Subgroup analysis based on region showed that the highest prevalence of intimate partner violence was in developing regions (33, 95% CI: 23.0, 43.0) compared to developed regions (14, 95% CI: 11.0, 17.0). High heterogeneity was reported in developing countries (I 2 = 99.19; p < 0.001) (Fig. 3).

Fig. 3
figure 3

Forest plot showing subgroup analysis on IPV among women during the COVID-19 pandemic by region

Full size image

Subgroup analysis based on country showed that Uganda had the highest prevalence of intimate partner violence among women (68, 95% CI: 62.0, 72.0), and the lowest was in the USA (10, 95% CI: 7.0, 15.0%). High heterogeneity was reported in studies performed in Ethiopia (I 2 = 98.78; p < 0.001). Ethiopia had the highest weight of 57.30, and the possible reason may be the high number of studies performed and included in that area, and the lowest weight was in Canada, 7.02 (Fig. 4).

Fig. 4
figure 4

Forest plot subgroup prevalence of IPV among women during the COVID-19 pandemic by country

Full size image

Metaregression

Meta-regression was performed to identify the source of heterogeneity across the studies by considering continuous and categorical variables, including region (developed/developing), country, and sample size. Meta-regression indicated that no heterogeneity was observed (p value> 0.05) (Table 2).

Table 2 Meta-regression by country, region, and sample size
Full size table

Publication bias: On visual inspection, asymmetry was observed in the funnel plots since there were six studies on the right and eight studies on the left (Fig. 5). However, the results from Egger’s regression test did not show statistical significance (p = 0.345) (Table 3).

Fig. 5
figure 5

Funnel plot for publication bias, IPV among women during the COVID-19 pandemic

Full size image
Table 3 Egger’s test of publication bias and IPV among women during the COVID-19 pandemic
Full size table

Sensitivity analysis

The results showed that no single study unduly influenced the overall estimate of intimate partner violence during the COVID-19 pandemic and its associated factors (supplementary Figure file S1).

Forms of intimate partner violence

In this study, the prevalence was calculated for each form of intimate partner violence.

Controlling violence

The prevalence of controlling violence in one study during the pandemic was 54% (95% CI: 49, 60) [47] (Fig. 6).

Fig. 6
figure 6

Forest plot showing the prevalence of controlling violence among women during the COVID-19 pandemic

Full size image

Verbal violence

The pooled prevalence of verbal violence faced by women with intimate partners during the pandemic in two studies was 53% (95% CI: 51, 56) [46, 49] (Fig. 7).

Fig. 7
figure 7

Forest plot showing the pooled prevalence of verbal among women during the COVID-19 pandemic

Full size image

Emotional violence

The pooled prevalence of emotional violence faced by women with intimate partners during the pandemic in 13 studies was 25% (95% CI: 17, 32) [4, 13, 40,41,42,43,44,45, 47,48,49,50, 52] (Fig. 8).

Fig. 8
figure 8

Forest plot showing the pooled prevalence of emotional violence among women during the COVID-19 pandemic

Full size image

Economic violence

The pooled prevalence of economic violence faced by women with intimate partners during the pandemic in two studies was 17% (95% CI: 15, 20) [47, 49] (Fig. 9).

Fig. 9
figure 9

Forest plot showing the pooled prevalence of emotional violence among women during the COVID-19 pandemic

Full size image

Sexual violence

The pooled prevalence of sexual violence faced by women with intimate partners during the pandemic in 14 studies was 14% (95% CI: 10, 18) [4, 13, 40,41,42,43,44,45,46,47,48,49,50, 52] (Fig. 10).

Fig. 10
figure 10

Forest plot showing the pooled prevalence of sexual violence among women during the COVID-19 pandemic

Full size image

Physical violence

The pooled prevalence of physical violence faced by women with intimate partners during the pandemic in 14 studies was 14% (95% CI: 9, 18) [4, 13, 40,41,42,43,44,45,46,47,48,49,50, 52] (Fig. 11).

Fig. 11
figure 11

Forest plot showing the pooled prevalence of physical violence among women during the COVID-19 pandemic

Full size image

Discussion

This systematic review and meta-analysis aimed to estimate the pooled prevalence of intimate partner violence during the COVID-19 pandemic. To the best of our knowledge, no systematic review or meta-analysis has been conducted on the pooled prevalence of intimate partner violence during the COVID-19 pandemic. Moreover, there is a lack of representative data on intimate partner violence during the COVID-19 pandemic, and there are also inconsistent findings. Therefore, this systematic review and meta-analysis will help policy-makers, programmers, planners, clinicians, and researchers design appropriate strategies.

The pooled prevalence of any form of IPV among women during the COVID-19 pandemic was 31% (95% CI: 22–40). This prevalence was comparable to a systematic review performed before the pandemic of 30% [53] and 27% [54] and during the pandemic of 31% [55] and 33.4% [56]. However, the pooled prevalence was higher than that in studies performed before the pandemic: sub-Saharan Africa, 20% [54]; northern Africa, 15% [57]; southern Asia, 19% [14]; western Asia, 13% [7]; African countries, 15.23% [58]; China, 7.7% [59]; and France, 7% [60]. Moreover, it was also higher than studies performed in the United States, 18.0% [17], Ethiopia, 26.6% [40], and Arab countries, 22.2% [49], during the pandemic. Our finding was lower than those of a study conducted in Peru (48.0% [61]), New Orleans (59% [62]), Jordan (40% [63]), Iran (65.4% [64]), and Bangladesh (45.29% [48]). The difference might be due to differences in sample size, study setting, study period, availability, and access to health services, reproductive health information, geographical areas, and the cultures of study subjects.

In this study, the prevalence of each component of IPV during the pandemic was also determined as controlling violence, verbal violence, emotional violence, economic violence, sexual violence and physical violence, which are the prevalent forms of violence faced during the pandemic by women with intimate partners.

The limitation of this study is that it includes only articles published in the English language. Databases such as Scopus and EMBASE were not considered due to the lack of free access, and we recommend funding to expand the database search source. Additionally, all included studies in this meta-analysis were cross-sectional; as a result, the outcome variables could be affected by other confounding variables, and cause and effect relationships could not be determined. Furthermore, studies from seven countries fulfilled the eligibility criteria and may not be representative. Despite these limitations, searching, selection and data extraction of the studies were performed based on eligibility criteria independently by two authors, and ambiguity was resolved by a third author.

Conclusions

Nearly one in three women experienced intimate partner violence during the COVID-19 pandemic. Subgroup analysis based on region showed that the highest prevalence of intimate partner violence was in developing regions (33%). All forms of intimate partner violence (physical, sexual, emotional, and economic) were prevalent. Thus, available interventions should be implemented to alleviate women’s intimate partner violence during the COVID-19 pandemic and similar emerging and remerging pandemics, particularly in developing countries.

Availability of data and materials

All data generated or analysed during the current study are included in this manuscript and its supplementary information files.

Abbreviations

COVID-19:

Coronavirus

CINHAL:

Cumulative Index to Nursing and Allied Health Literature

IPV:

Intimate Partner Violence

MeSH:

Medical Search Headings

PRISMA:

Preferred Reporting Items for Systematic Review & Meta-analysis

RevMan:

Review Manager Software

References

  1. Goldfarb S, Goldscheid J. International human rights law on violence against women and children and its impact on domestic law and action. In: Women and children as victims and offenders: background, prevention, reintegration. Springer; 2016. p. 3–45.

    Google Scholar 

  2. Russo NF, Pirlott A. Gender-based violence: concepts, methods, and findings. Ann N Y Acad Sci. 2006;1087(1):178–205.

    Article  ADS  PubMed  Google Scholar 

  3. Hossain M, McAlpine A. Gender based violence research methodologies in humanitarian settings: an evidence review and recommendations; 2017.

    Google Scholar 

  4. Ehitemariyam T. Assessment of intimate partner violence against women of reproductive age and associated factors during covid 19 pandemic in Debre Berhan Town, Ethiopia 2021: a community–based cross-sectional study 2021.

  5. Garcia-Moreno C, Jansen HAFM, Ellsberg M, Heise L, Watts C. WHO multicountry study on women’s health and domestic violence against women: initial results on prevalence, health outcomes and women’s responses. Geneva: World Health Organization; 2005.

    Google Scholar 

  6. WHO P. Understanding and addressing violence against women. Geneva, Switzerland: The World Health Organization; 2012.

    Google Scholar 

  7. García-Moreno C, Pallitto C, Devries K, Stöckl H, Watts C, Abrahams N. Global and regional estimates of violence against women: prevalence and health effects of intimate partner violence and non-partner sexual violence. World Health Organization; 2013.

    Google Scholar 

  8. Krug EG, Mercy JA, Dahlberg LL, Zwi AB. The world report on violence and health. Lancet. 2002;360(9339):1083–8.

    Article  PubMed  Google Scholar 

  9. Benebo FO, Schumann B, Vaezghasemi M. Intimate partner violence against women in Nigeria: a multilevel study investigating the effect of women’s status and community norms. BMC Womens Health. 2018;18(1):1–17.

    Article  Google Scholar 

  10. Tochie JN, Ofakem I, Ayissi G, Endomba FT, Fobellah NN, Wouatong C, et al. Intimate partner violence during the confinement period of the COVID-19 pandemic: exploring the French and Cameroonian public health policies. Pan Afr Med J. 2020;35(Suppl 2)

  11. Duncan TK, Weaver JL, Zakrison TL, Joseph B, Campbell BT, Christmas AB, et al. Domestic violence and safe storage of firearms in the COVID-19 era. Ann Surg. 2020;272(2):e55.

    Article  PubMed  Google Scholar 

  12. Hatchimonji JS, Swendiman RA, Seamon MJ, Nance ML. Trauma does not quarantine: violence during the COVID-19 pandemic. Ann Surg. 2020;272(2):e53.

    Article  PubMed  Google Scholar 

  13. Shitu S, Yeshaneh A, Abebe H. Intimate partner violence and associated factors among reproductive age women during COVID-19 pandemic in southern Ethiopia, 2020. Reprod Health. 2021;18(1):1–10.

    Article  Google Scholar 

  14. Devries KM, Mak JY, Garcia-Moreno C, Petzold M, Child JC, Falder G, et al. The global prevalence of intimate partner violence against women. Science. 2013;340(6140):1527–8.

    Article  ADS  CAS  PubMed  Google Scholar 

  15. Gaines C. Commentary on a cochrane review of screening for intimate partner violence in health care settings. Nurs Womens Health. 2017;21(6):439–41.

    Article  ADS  PubMed  Google Scholar 

  16. Organization WH. COVID-19 and violence against women: what the health sector/system can do, 7 April 2020. World Health Organization; 2020.

    Google Scholar 

  17. Jetelina KK, Knell G, Molsberry RJ. Changes in intimate partner violence during the early stages of the COVID-19 pandemic in the USA. Inj Prev. 2021;27(1):93–7.

    Article  PubMed  Google Scholar 

  18. Committee IR. “Everything on her shoulders”. Rapid assessment on gender and violence against women and girls in the Ebola outbreak in Beni, DRC. New York: International Rescue Committee Accessed March. 2019;8:2021.

  19. Piquero AR, Riddell JR, Bishopp SA, Narvey C, Reid JA, Piquero NL. Staying home, staying safe? A short-term analysis of COVID-19 on Dallas domestic violence. Am J Crim Justice. 2020;45(4):601–35.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Bradley NL, DiPasquale AM, Dillabough K, Schneider PS. Health care practitioners’ responsibility to address intimate partner violence related to the COVID-19 pandemic. CMAJ. 2020;192(22):E609–E10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Forum ACP, editor Under siege impact of COVID-19 on girls in Africa2020: PLAN International/African Child Policy Forum (ACPF).

  22. Sere Y, Roman NV, Ruiter RA. Coping with the experiences of intimate partner violence among south African women: systematic review and meta-synthesis. Front Psychiatry. 2021:522.

  23. Usher K, Bhullar N, Durkin J, Gyamfi N, Jackson D. Family violence and COVID-19: increased vulnerability and reduced options for support. Int J Ment Health Nurs. 2020;

  24. Breiding MJ, Chen J, Black MC. Intimate partner violence in the United States--2010; 2014.

    Google Scholar 

  25. Cooper A, Smith EL. Homicide trends in the United States, 1980–2008. Washington, DC: Bureau of Justice Statistics; 2011.

    Google Scholar 

  26. Capaldi DM, Knoble NB, Shortt JW, Kim HK. A systematic review of risk factors for intimate partner violence. Partn Abus. 2012;3(2):231–80.

    Article  Google Scholar 

  27. Browning CR. The span of collective efficacy: extending social disorganization theory to partner violence. J Marriage Fam. 2002;64(4):833–50.

    Article  Google Scholar 

  28. Matjasko JL, Niolon PH, Valle LA. The role of economic factors and economic support in preventing and escaping from intimate partner violence. J Policy Anal Manag. 2013;32(1):122.

    Article  Google Scholar 

  29. Banyard VL. Toward the next generation of bystander prevention of sexual and relationship violence: action coils to engage communities. Springer; 2015.

    Book  Google Scholar 

  30. Wasserman G, Seracini A, Loeber R, Farrington D. Child delinquents: development, intervention, and service needs. Thousand Oaks, CA: Sage Publication; 2001.

    Google Scholar 

  31. McMahon S, Stepleton K, Cusano J, O’Connor J, Gandhi K, McGinty F. Beyond sexual assault surveys: a model for comprehensive campus climate assessments. J Stud Aff Res Pract. 2018;55(1):78–90.

    Google Scholar 

  32. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Int J Surg. 2021;88:105906.

    Article  PubMed  Google Scholar 

  33. Agrawal A, Rasouli M. EndNote 1–2-3 easy!: reference management for the professional. Springer Nature; 2019.

    Book  Google Scholar 

  34. Munn Z, Tufanaru C, Aromataris E. JBI's systematic reviews: data extraction and synthesis. American J Nurs. 2014;114(7):49–54.

    Article  Google Scholar 

  35. Berkey CS, Hoaglin DC, Mosteller F, Colditz GA. A random-effects regression model for meta-analysis. Stat Med. 1995;14(4):395–411.

    Article  CAS  PubMed  Google Scholar 

  36. Rücker G, Schwarzer G. Beyond the forest plot: the drapery plot. Res Synth Methods. 2021;12(1):13–9.

    Article  PubMed  Google Scholar 

  37. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–58.

    Article  PubMed  Google Scholar 

  38. Pustejovsky JE, Rodgers MA. Testing for funnel plot asymmetry of standardized mean differences. Res Synth Methods. 2019;10(1):57–71.

    Article  PubMed  Google Scholar 

  39. Spineli LM, Pandis N. Problems and pitfalls in subgroup analysis and meta-regression. Am J Orthod Dentofac Orthop. 2020;158(6):901–4.

    Article  Google Scholar 

  40. Gebrewahd GT, Gebremeskel GG, Tadesse DB. Intimate partner violence against reproductive age women during COVID-19 pandemic in northern Ethiopia 2020: a community-based cross-sectional study. Reprod Health. 2020;17(1):1–8.

    Article  Google Scholar 

  41. Fetene G, Alie MS, Girma D, Negesse Y. Prevalence and its predictors of intimate partner violence against pregnant women amid COVID-19 pandemic in Southwest Ethiopia, 2021: a cross-sectional study. SAGE Open Med. 2022;10:20503121221079317.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Getinet W, Azale T, Getie E, Salelaw E, Amare T, Demilew D, et al. Intimate partner violence among reproductive-age women in Central Gondar zone, northwest, Ethiopia: a population-based study. BMC Womens Health. 2022;22(1):109.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Shewangzaw Engda A, Dargie Wubetu A, Kasahun Amogne F, Moltot KT. Intimate partner violence and COVID-19 among reproductive age women: a community-based cross-sectional survey, Ethiopia. Womens Health. 2022;18:17455065211068980.

    CAS  Google Scholar 

  44. Tadesse AW, Tarekegn SM, Wagaw GB, Muluneh MD, Kassa AM. Prevalence and associated factors of intimate partner violence among married women during COVID-19 pandemic restrictions: a community-based study. J Interpers Violence. 2022;37(11–12):NP8632–NP50.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Teshome A, Gudu W, Bekele D, Asfaw M, Enyew R, Compton SD. Intimate partner violence among prenatal care attendees amidst the COVID-19 crisis: the incidence in Ethiopia. Int J Gynecol Obstet. 2021;153(1):45–50.

    Article  CAS  Google Scholar 

  46. Ditekemena JD, Luhata C, Mavoko HM, Siewe Fodjo JN, Nkamba DM, Van Damme W, et al. Intimate partners violence against women during a COVID-19 lockdown period: results of an online survey in 7 provinces of the Democratic Republic of Congo. Int J Environ Res Public Health. 2021;18(10)

  47. Katushabe E, Chinweuba A, Omieibi A, Asiimwe JB. Prevalence and determinants of intimate-partner violence among pregnant women attending a City health Centre IV, south western Uganda, during the COVID-19 pandemic: a cross-sectional study. Stud J Health Res Afr. 2022;3(3):17.

    Google Scholar 

  48. Rayhan I, Akter K. Prevalence and associated factors of intimate partner violence (IPV) against women in Bangladesh amid COVID-19 pandemic. Heliyon. 2021;7(3):e06619.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. El-Nimr NA, Mamdouh HM, Ramadan A, El Saeh HM, Shata ZN. Intimate partner violence among Arab women before and during the COVID-19 lockdown. J Egypt Public Health Assoc. 2021;96(1):1–8.

    Article  Google Scholar 

  50. Muldoon KA, Denize KM, Talarico R, Boisvert C, Frank O, Harvey AL, et al. COVID-19 and perinatal intimate partner violence: a cross-sectional survey of pregnant and postpartum individuals in the early stages of the COVID-19 pandemic. BMJ Open. 2021;11(5):e049295.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Cannon CE, Ferreira R, Buttell F, First J. COVID-19, intimate partner violence, and communication ecologies. Am Behav Sci. 2021;65(7):992–1013.

    Article  Google Scholar 

  52. Spencer CM, Gimarc C, Durtschi J. COVID-19 specific risk markers for intimate partner violence perpetration. J Fam Violence. 2022;37(6):881–91.

    Article  PubMed  Google Scholar 

  53. García-Moreno C, Stöckl H. Violence against women, its prevalence and health consequences. Violence against Women and Mental Health. 178: Karger Publishers; 2013. p. 1–11.

  54. Sardinha L, Maheu-Giroux M, Stöckl H, Meyer SR, García-Moreno C. Global, regional, and national prevalence estimates of physical or sexual, or both, intimate partner violence against women in 2018. Lancet. 2022;399(10327):803–13.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Berniell I, Facchini G. COVID-19 lockdown and domestic violence: evidence from internet-search behavior in 11 countries. Eur Econ Rev. 2021;136:103775.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Boxall H, Morgan A. Intimate partner violence during the COVID-19 pandemic: a survey of women in Australia. Australia's National Research Organisation for Women's Safety; 2021.

    Google Scholar 

  57. Maheu-Giroux M, Sardinha L, Stöckl H, Meyer SR, Godin A, Alexander M, et al. A framework to model global, regional, and national estimates of intimate partner violence. BMC Med Res Methodol. 2022;22(1):1–17.

    Article  Google Scholar 

  58. Shamu S, Abrahams N, Temmerman M, Musekiwa A, Zarowsky C. A systematic review of African studies on intimate partner violence against pregnant women: prevalence and risk factors. PLoS One. 2011;6(3):e17591.

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  59. Wang T, Liu Y, Li Z, Liu K, Xu Y, Shi W, et al. Prevalence of intimate partner violence (IPV) during pregnancy in China: a systematic review and meta-analysis. PLoS One. 2017;12(10):e0175108.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Peraud W, Quintard B, Constant A. Factors associated with violence against women following the COVID-19 lockdown in France: results from a prospective online survey. PLoS One. 2021;16(9):e0257193.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Agüero JM. COVID-19 and the rise of intimate partner violence. World Dev. 2021;137:105217.

    Article  PubMed  Google Scholar 

  62. Buttell F, Ferreira RJ. The hidden disaster of COVID-19: intimate partner violence. Psychol Trauma Theory Res Pract Policy. 2020;12(S1):S197.

    Article  Google Scholar 

  63. Abuhammad S. Violence against Jordanian women during COVID-19 outbreak. Int J Clin Pract. 2021;75(3):e13824.

    Article  CAS  PubMed  Google Scholar 

  64. Fereidooni R, Mootz J, Sabaei R, Khoshnood K, Heydari ST, Moradian MJ, et al. The COVID-19 pandemic, socioeconomic effects, and intimate partner violence against women: A population-based cohort study in Iran. Maryam and Molavi Vardanjani, Hossein, The COVID-19 Pandemic, Socioeconomic Effects, and Intimate Partner Violence Against Women: A Population-Based Cohort Study in Iran. 2021.

Download references

Acknowledgements

We would like to thank Samara University for the HINARY database website and network access.

Funding

No funding.

Author information

Authors and Affiliations

  1. Family Guidance Association, Logia, Afar, Ethiopia

    Mearg Eyasu Kifle

  2. Department of Public Health, College of Medical and Health Sciences, Samara University, Samara, Ethiopia

    Setognal Birara Aychiluhm & Etsay Woldu Anbesu

Authors
  1. Mearg Eyasu Kifle
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Setognal Birara Aychiluhm
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Etsay Woldu Anbesu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

ME and EW are participated on screened ,data extraction and quality appraisal and SB a mediator that solves any disagrmeent with in the two authors.

Corresponding author

Correspondence to Mearg Eyasu Kifle.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kifle, M.E., Aychiluhm, S.B. & Anbesu, E.W. Global prevalence of intimate partner violence during the COVID-19 pandemic among women: systematic review and meta-analysis. BMC Women's Health 24, 127 (2024). https://doi.org/10.1186/s12905-023-02845-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12905-023-02845-8

Keywords

BMC Women's Health

ISSN: 1472-6874

Contact us