000			02828nab a22003257a 4500
999			_c7427 _d7427
005			20250625151603.0
008			220119s2021 ||||| |||| 00| 0 eng d
040			_aAFVC
100			_aAnderberg, Dan _910548
245			_aQuantifying domestic violence in times of crisis : _ban internet search activity-based measure for the COVID-19 pandemic _cDan Anderberg, Helmut Rainer and Fabian Siuda
260			_bRoyal Statistical Society, _c2021
500			_aJournal of the Royal Statistical Society, Series A (Statistics in Society), 2021, First published online, 10 December 2021
520			_aIn contrast to widespread concerns that COVID-19 lockdowns have substantially increased the incidence of domestic violence, research based on police-recorded crimes or calls-for-service has typically found small and often even negligible effects. One explanation for this discrepancy is that lockdowns have left victims of domestic violence trapped in-home with their perpetrators, limiting their ability to safely report incidents to the police. To overcome this measurement problem, we propose a model-based algorithm for measuring temporal variation in domestic violence incidence using internet search activity and make precise the conditions under which this measure yields less biased estimates of domestic violence problem during periods of crisis than commonly used police-recorded crime measures. Analysing the COVID-19 lockdown in Greater London, we find a 40% increase in our internet search-based domestic violence index at the peak occurring 3–6 weeks into the lockdown, -seven to eight times larger than the increase in police-recorded crimes and much closer to the increase in helpline calls reported by victim support charities. Applying the same methodology to Los Angeles, we find strikingly similar results. We conclude that evidence based solely on police-recorded domestic violence incidents cannot reliably inform us about the scale of the domestic violence problem during crises like COVID-19. (Authors' abstract). Record #7427
650			_aCOVID-19 _98949
650			_aDATA ANALYSIS _9181
650			_aDOMESTIC VIOLENCE _9203
650			_aINTIMATE PARTNER VIOLENCE _9431
650			_aPANDEMICS _98950
650			_aPREVALENCE _9457
650			_aTECHNOLOGY _9599
651			_aINTERNATIONAL _93624
651		4	_aUNITED KINGDOM _92604
651		4	_aUNITED STATES _92646
700			_aRainer, Helmut _910549
700			_aSiuda, Fabian _910550
773	0		_tJournal of the Royal Statistical Society, Series A (Statistics in Society), 2021, First published online, 10 December 2021
830			_aJournal of the Royal Statistical Society, Series A (Statistics in Society) _910551
856			_uhttps://doi.org/10.1111/rssa.12780 _zDOI: 10.1111/rssa.12780 (Open access)
942			_2ddc _cARTICLE