000 | 02695nab a22003137a 4500 | ||
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999 |
_c7186 _d7186 |
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005 | 20250625151552.0 | ||
008 | 210615s2021 ||||| |||| 00| 0 eng d | ||
040 | _aAFVC | ||
100 |
_aLokot, Michelle _99788 |
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245 |
_aThe pitfalls of modelling the effects of COVID-19 on gender-based violence : _blessons learnt and ways forward _cMichelle Lokot, Amiya Bhatia, Shirin Heidari and Amber Peterman |
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260 |
_bBMJ Journals, _c2021 |
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500 | _aBMJ Global Health, 6(5): e005739 | ||
520 | _aSince early 2020, global stakeholders have highlighted the significant gendered consequences of the COVID-19 pandemic, including increases in the risk of gender-based violence (GBV). Researchers have sought to inform the pandemic response through a diverse set of methodologies, including early efforts modelling anticipated increases in GBV. For example, in April 2020, a highly cited modelling effort by the United Nations Population Fund (UNFPA) and partners projected headline global figures of 31 million additional cases of intimate partner violence due to 6 months of lockdown, and an additional 13 million child marriages by 2030. In this paper, we discuss the rationale for using modelling to make projections about GBV, and use the projections released by UNFPA to draw attention to the assumptions and biases underlying model-based projections. We raise five key critiques: (1) reducing complex issues to simplified, linear cause-effect relationships, (2) reliance on a small number of studies to generate global estimates, (3) assuming that the pandemic results in the complete service disruption for existing interventions, (4) lack of clarity in indicators used and sources of estimates, and (5) failure to account for margins of uncertainty. We argue that there is a need to consider the motivations and consequences of using modelling data as a planning tool for complex issues like GBV, and conclude by suggesting key considerations for policymakers and practitioners in using and commissioning such projections. (Authors' abstract). Record #7186 | ||
650 |
_aCOVID-19 _98949 |
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650 |
_aDATA ANALYSIS _9181 |
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650 |
_aDOMESTIC VIOLENCE _9203 |
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650 |
_aINTIMATE PARTNER VIOLENCE _9431 |
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650 |
_aPANDEMICS _98950 |
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650 | 0 |
_aVIOLENCE AGAINST WOMEN _93088 |
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651 |
_aINTERNATIONAL _93624 |
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651 | 4 |
_aUNITED KINGDOM _92604 |
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700 |
_aBhatia, Amiya _910072 |
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700 |
_aHeidari, Shirin _910073 |
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700 |
_aPeterman, Amber _98951 |
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773 | 0 | _tBMJ Global Health, 6(5): e005739 | |
830 |
_aBMJ Global Health _99581 |
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856 |
_uhttp://dx.doi.org/10.1136/bmjgh-2021-005739 _zDOI: 10.1136/bmjgh-2021-005739 (Open access) |
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942 |
_2ddc _cARTICLE |