An Exploration of the Impact of COVID-19 on Police Demand, Capacity and Capability
Abstract
:1. Introduction
2. Literature Review of Police Demand, Capacity and Capability
3. Literature on the Impact of COVID-19 on Police Demand in the United Kingdom
4. Importance of the Study
5. Research Aims
6. Methodology
7. Results
7.1. Freedom of Information Requests
7.2. Survey Question Results
7.3. Survey Free Text
“It felt like some colleagues were taking the pandemic much less seriously and had a very laissez-faire attitude to safety. Not only were they not bothered if they caught it (some almost viewing it as a “free holiday/leave”), they weren’t bothered about infecting colleagues and the knock on effects that could have had, particularly where family members were higher risk, shielding. Unfortunately making cops less selfish is a tricky one, but perhaps more robust management, earlier on would have helped at least reduce this”“There could/should have been a much more considered approach to resourcing. I felt that in the police we went straight into crisis mode and there was the attitude of ‘suck it up’, we are all frontline so there will be no working from home! As a result, you had staff crammed into your offices who really did not need to be on duty, particular in back office roles or investigation departments. No surprise then when dozens of staff began having to self-isolate or caught COVID”
“As service paid for by the tax payer to protect and support our community and people, police forces should have taken a braver approach and only allowed isolating if people were showing signs. Too many officers have used the COVID stance as a means of having time off”“Less OTT policies for isolating i.e., NHS requirements are if you are fully PPE in a vehicle you don’t have to isolate. College of policing have decided you do. So paramedics in the exact same scenario don’t isolate but a cop does”
“More advanced safety over clothing. The present flimsy blue aprons are useless as they only cover the front of your torso. The arms and lower body are still exposed and the kit was issued far too late at the start of the pandemic”“Provide officers and staff with better quality PPE faster than during CV19”
“There is a general lack of staff with many teams not meeting minimum strengths on a daily basis, added to that COVID and self-isolation it has added much pressure to those who are currently at work”“A greater number of staff is needed to meet the needs of the public without the cost of officers and staff’s mental health due to added pressures and work load”
“Main issue was the lack of laptops to allow for agile working outside the office environment”“Understandably, the solutions to this include further investment in information technology solutions”“Invest in sufficient IT equipment to allow officers to do some meaningful work while at home”“All officers/staff at Inspector or equivalent to be provided with a laptop. Afford all staff access to computer systems at home via a confidential portal”
“Keeping teams isolated from other policing teams, too many interact with each other unnecessarily”“We should have adopted an approach I saw in other agencies with whole departments having in/out weeks and not a mentality to have everyone on duty at a police station just because we are the police. In the end, it really caused huge issues”“Daily antigen and PCR tests for all frontline officers”“Provide officers and staff with relevant vaccines or medicines to prevent falling ill”“Increase reservist pools for specialist departments such as mine Marine Unit”“Providing more resilience to operational policing”
8. Discussion
9. Limitations
10. Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Appendix A
Crime Type | Geographic Area | Impact | Additional Information | Data/Lockdown Period Examined | Source |
---|---|---|---|---|---|
Theft from the Person | England and Wales | Decreased by 79.2% | Only examined 1 month during lockdown | April 2020 | (Dixon et al. 2020) |
England | Decreased by 77.6% Decreased by 44.4% | During national lockdown After national lockdown | March 2020–May 2021 | (Neanidis and Rana 2021) | |
Shoplifting | England and Wales | Decreased by 36% | Crime Survey of England and Wales | March 2020–March 2021 | (CSEW 2021) |
England and Wales | Decreased by 55.9% | Only examined 1 month during lockdown | April 2020 | (Dixon et al. 2020) | |
Lancashire | Decreased by 61.6% | Only examined 1 week after lockdown | 23rd March–29th March 2020 | (Halford et al. 2020) | |
Robbery | United Kingdom | Decreased by 60% | Gradual increase over 6 months but remained significantly lower | March 2020–August 2020 | (Langton et al. 2020) |
England and Wales | Decreased by 34% | Crime Survey of England and Wales | March 2020–March 2021 | (CSEW 2021) | |
England and Wales | Decreased by 57.6% | Only examined 1 month during lockdown | April 2020 | (Dixon et al. 2020) | |
England | Decreased by 52% Decreased by 32.6% | During national lockdown After national lockdown | March 2020–May 2021 | (Neanidis and Rana 2021) | |
London | Decreased by 54% | Reductions are on daily counts | 1 January 2020–30 April 2020 | (Nivette et al. 2021) | |
Domestic Abuse | England and Wales | Increased by 6% | Crime Survey of England and Wales | March 2020–March 2021 | (CSEW 2021) |
Lancashire | Decreased by 44.7% | Reduced citizen mobility | 23 March–29 March 2020 | (Halford et al. 2020) | |
Burglary | United Kingdom | Decreased by 20% | Gradual increase over 6 months but remained significantly lower by 10% | March 2020–August 2020 | (Langton et al. 2020) |
England and Wales | Decreased by 37.1% | Only examined 1 month during lockdown | April 2020 | (Dixon et al. 2020) | |
England and Wales | Decreased by 30% | Crime Survey of England and Wales | March 2020–March 2021 | (CSEW 2021) | |
England | Decreased by 24.3% Decreased by 19% | During national lockdown After national lockdown | March 2020–May 2021 | (Neanidis and Rana 2021) | |
London | Decreased by 41.6% | Reductions are on daily counts | 1 January 2020–30 April 2020 | (Nivette et al. 2021) | |
Lancashire | Non-dwelling decreased by 25.6%. Dwelling reduced by 25.4% | Only examined 1 week after lockdown | 23 March–29 March 2020 | (Halford et al. 2020) | |
Vehicle Theft | England and Wales | Decreased by 28% | Crime Survey of England and Wales | March 2020–March 2021 | (CSEW 2021) |
England and Wales | Decreased by 41.2% | Only examined 1 month during lockdown | April 2020 | (Dixon et al. 2020) | |
England | Decreased by 36.8% Decreased by 30.9% | During national lockdown After national lockdown | March 2020–May 2021 | (Neanidis and Rana 2021) | |
London | Decreased by 30.7% | Reductions are on daily counts | 1 January 2020–30 April 2020 | (Nivette et al. 2021) | |
Lancashire | Theft of increased by 1.1%. Theft from decreased by 43.3% | Reduced citizen mobility | 23 March–29 March 2020 | (Halford et al. 2020) | |
Other Theft | United Kingdom | Decreased by 80% | Gradual increase over 6 months but remained significantly lower | March 2020–August 2020 | (Langton et al. 2020) |
England and Wales | Decreased by 32% | Crime Survey of England and Wales | March 2020–March 2021 | (CSEW 2021) | |
England | Decreased by 36% Decreased by 24.4% | During national lockdown After national lockdown | March 2020–May 2021 | (Neanidis and Rana 2021) | |
London | Decreased by 54.4% | Reductions are on daily counts | 1 January 2020–30 April 2020 | (Nivette et al. 2021) | |
Lancashire | Decreased by 52.4% | Reduced citizen mobility | 23 March–29 March 2020 | (Halford et al. 2020) | |
Assaults | England and Wales | Decreased by 28% | Crime Survey of England and Wales | March 2020–March 2021 | (CSEW 2021) |
London | Decreased by 12.3% | Reductions are on daily counts | 1 January 2020–30 April 2020 | (Nivette et al. 2021) | |
Lancashire UK | Decreased by 35.6% | Reduced citizen mobility | 23 March–29 March 2020 | (Halford et al. 2020) | |
Homicide | England and Wales | Decreased by 16% | Crime Survey of England and Wales | March 2020–March 2021 | (CSEW 2021) |
London | Decreased by 25% | Reductions are on daily counts | 1 January 2020–30 April 2020 | (Nivette et al. 2021) | |
Public Order | United Kingdom | Decreased by 20% | Quickly increases and within 2 months returns to pre-COVID levels | March 2020–August 2020 | (Langton et al. 2020) |
England and Wales | Decreased by 17.3% | Only examined 1 month during lockdown | April 2020 | (Dixon et al. 2020) | |
Sexual Violence | United Kingdom | Decreased by 24% | Gradual increase to pre-COVID levels over 6 months | March 2020–August 2020 | (Langton et al. 2020) |
England | Decreased by 19% Decreased by 4.3% | During national lockdown After national lockdown | March 2020–May 2021 | (Neanidis and Rana 2021) | |
Criminal Damage | United Kingdom | Decreased by 20% | Gradual increase over 6 months to pre-COVID levels | March 2020–August 2020 | (Langton et al. 2020) |
England and Wales | Decreased by 30.1% | Only examined 1 month during lockdown | April 2020 | (Dixon et al. 2020) | |
England | Decreased by 20.3% Decreased by 6.8% | During national lockdown After national lockdown | March 2020–May 2021 | (Neanidis and Rana 2021) | |
Possession of Offensive Weapons | England and Wales | Decreased by 8.8% | Only examined 1 month during lockdown | April 2020 | (Dixon et al. 2020) |
England | Decreased by 10.5% | During national lockdown | March 2020–May 2021 | (Neanidis and Rana 2021) | |
Organised Crime (Inc. Drug Trafficking/Possession) | United Kingdom | Increased by 30% | Rapid after 2 months to statistically reduced level of 10% | March 2020–August 2020 | (Langton et al. 2020) |
England and Wales | Increased by 9.8% | Only examined 1 month during lockdown | April 2020 | (Dixon et al. 2020) | |
England | Increased by 28.5% Increased by 8.6% | During national lockdown After national lockdown | March 2020–May 2021 | (Neanidis and Rana 2021) | |
Cyber Crime | United Kingdom | Increased by 43.24% | Only includes cyber dependent crime and online fraud | May 2020 | (Buil-Gil et al. 2020) |
England and Wales | Increased by 28% | Crime Survey of England and Wales | March 2020–March 2021 | (CSEW 2021) | |
ASB | United Kingdom | Increased by 100% | Rapid after 2 months to statistically reduced level of 10% | March 2020–August 2020 | (Langton et al. 2020) |
England and Wales | Decreased by 108.9% | Only examined 1 month during lockdown | April 2020 | (Dixon et al. 2020) | |
England and Wales | Increased by 28% | Crime Survey of England and Wales | March 2020–March 2021 | (CSEW 2021) | |
England | Increased by 65.5% Increased by 22.9% | During national lockdown After national lockdown | March 2020–May 2021 | (Neanidis and Rana 2021) | |
Breaches of Coronavirus (COVID-19) Legislation | England and Wales | Comparison not possible | 117,213 individual fixed penalty fines issued by Police | March 2020–20th June 2021 | (NPCC 2021) |
References
- Adams, Thomas. 1994. Police Field Operations. Hoboken: Prentice Hall Career & Technology. [Google Scholar]
- Adler, Nicole, Alfred Shalom Hakkert, Jonathan Kornbluth, Tal Raviv, and Mali Sher. 2013. Location-allocation models for traffic police patrol vehicles on an interurban network. Annals of Operations Research 221: 9–31. [Google Scholar] [CrossRef]
- Ashby, Matthew. 2020. Changes in police calls for service during the early months of the 2020 coronavirus pandemic. Policing: A Journal of Policy and Practice 14: 1054–72. [Google Scholar] [CrossRef]
- Benington, John, and Mark H Moore. 2011. Public value in complex and changing times. In Public Value: Theory and Practice. London: Macmillan International Higher Education. [Google Scholar]
- Bhatia, Gurman, Prasanta Kumar Dutta, and Jon McClure. 2021. United Kingdom: The latest coronavirus counts, charts and maps. Reuters. Available online: https://graphics.reuters.com/world-coronavirus-tracker-and-maps/countries-and-territories/united-kingdom/ (accessed on 28 November 2021).
- Brooks, Paul, David Edwards, Toni Sorrell, Sudharshana Srinivasan, and Robyn Diehl. 2011. Simulating calls for service for an Urban Police Department. Paper presented at the 2011 Winter Simulation Conference (WSC), Phoenix, AZ, USA, December 11–14. [Google Scholar]
- Buil-Gil, David, Fernando Miró-Llinares, Asier Moneva, Steven Kemp, and Nacho Díaz-Castaño. 2020. Cybercrime and shifts in opportunities during COVID-19: A preliminary analysis in the UK. European Societies 23: S47–S59. [Google Scholar] [CrossRef]
- Bullinger, Lindsey Rose, Jillian Carr, and Analisa Packham. 2021. COVID-19 and crime. American Journal of Health Economics 7: 249–80. [Google Scholar] [CrossRef]
- Check, Joseph W., and Russell Schutt. 2011. Research Methods in Education. Newcastle upon Tyne: SAGE. [Google Scholar]
- Clements, Jon, and Elisabeth Aitkenhead. 2020. Policing the Long Crisis: An Appraisal of the Police Response to COVID-19. The Police Foundation. Available online: https://www.police-foundation.org.uk/2020/12/long-read-policing-the-long-crisis-an-appraisal-of-the-police-response-to-covid-19/ (accessed on 28 November 2021).
- Conner, Brian, and Emily Johnson. 2017. Descriptive statistics: Use these tools to analyze data vital to practice-improvement projects. American Nurse Today 12: 52. [Google Scholar]
- Cook, Philip J. 2015. Will the Current Crisis in Police Legitimacy Increase Crime? Research Offers a Way Forward. Psychological Science in the Public Interest 16: 71–74. [Google Scholar] [CrossRef]
- CSEW. 2021. The Crime Survey of England and Wales: Crime in England and Wales: Year Ending March 2021; London: Crime in England and Wales—Office for National Statistics. Available online: https://www.ons.gov.uk/peoplepopulationandcommunity/crimeandjustice/bulletins/crimeinenglandandwales/yearendingmarch2021 (accessed on 28 November 2021).
- Curtin, Kevin, Karen Hayslett-McCall, and Fang Qiu. 2007. Determining optimal police patrol areas with maximal covering and backup covering location models. Networks and Spatial Economics 10: 125–45. [Google Scholar] [CrossRef]
- D’Amico, Steven, Shoou-Jiun Wang, Rajan Batta, and Christopher Rump. 2002. A simulated annealing approach to police district design. Computers & Operations Research 29: 667–84. [Google Scholar] [CrossRef]
- Dai, Mengliang, Yiwei Xia, and Rongxu Han. 2021. The impact of Lockdown on Police Service calls during the COVID-19 pandemic in China. Policing: A Journal of Policy and Practice 15: 1867–81. [Google Scholar] [CrossRef]
- De La Cruz, Javier Holguin. 2016. Performance as a constraint to determine optimum allocation of police patrols using stochastic simulation. International Journal of Management Science and Engineering Research 3: 19. [Google Scholar] [CrossRef]
- Decker, Scott, Sean Varano, and Jack Greene. 2007. Routine crime in exceptional times: The impact of the 2002 Winter Olympics on citizen demand for police services. Journal of Criminal Justice 35: 89–101. [Google Scholar] [CrossRef] [Green Version]
- Demers, Simon, Adam Palmer, and Curt Griffiths. 2007. Vancouver Police Department Patrol Deployment Study. Vancouver: City of Vancouver, British Columbia, Available online: https://doi.org/www.curtgriffiths.com/pdfs/VPD%20Patrol%20Deployment%20Study%20Final%20Fiinal.doc.pdf (accessed on 31 January 2014).
- Dixon, Anthony, Emily Sheard, and Graham Farrell. 2020. National Recorded Crime Trends: Statistical Bulletin on Crime and COVID-19. Leeds: University of Leeds. [Google Scholar] [CrossRef]
- Enang, Iniobong, Jennifer Murray, Nadine Dougall, Andrew Wooff, Inga Heyman, and Elizabeth Aston. 2019. Defining and assessing vulnerability within law enforcement and public health organisations: A scoping review. Health Justice 7: 2. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Fleming, Jenny, and Peter Grabosky. 2009. Managing the demand for police services, or how to control an insatiable appetite. Policing 3: 281–91. [Google Scholar] [CrossRef]
- Greasley, Andrew, and Chris Smith. 2017. Using activity-based costing and simulation to reduce cost at a Police Communications Centre. Policing: An International Journal of Police Strategies & Management 40: 426–41. [Google Scholar] [CrossRef] [Green Version]
- Green, Linda. 1984. A multiple dispatch queueing model of police patrol operations. Management Science 30: 653–64. [Google Scholar] [CrossRef] [Green Version]
- Groff, Elizabeth, Jerry Ratcliffe, Cory Haberman, Evan Sorg, Nola Joyce, and Ralph Taylor. 2014. Does what police do at hot spots matter? The Philadelphia Policing Tactics Experiment*. Criminology 53: 23–53. [Google Scholar] [CrossRef]
- Hale, Charles. 1994. Police Patrol: Operations & Management. Upper Saddle River: Prentice Hall. [Google Scholar]
- Halford, Eric, Anthony Dixon, Graham Farrell, Nick Malleson, and Nick Tilley. 2020. Crime and coronavirus: Social distancing, lockdown and the mobility elasticity of crime. Crime Science 9: 1–12. [Google Scholar] [CrossRef]
- Heller, Nelson, and Robert Markland. 1970. A climatological model for forecasting the demand for Police Service. Journal of Research in Crime and Delinquency 7: 167–76. [Google Scholar] [CrossRef]
- HMIC. 2008. Get Smart: Planning to Protect. Her Majesty’s Inspectorate of Constabularies (HMIC). Available online: https://www.justiceinspectorates.gov.uk/hmicfrs/media/get-smart-planning-to-protect-20080530.pdf (accessed on 28 November 2021).
- HMICFRS. 2015. Peel: Police Efficiency 2015. Her Majesty’s Inspectorate of Constabularies and Fire and Rescue Services (HMICFRS). Available online: https://www.justiceinspectorates.gov.uk/hmicfrs/publications/peel-police-efficiency-2015/ (accessed on 28 November 2021).
- Jackson, Jonathan, and Ben Bradford. 2010. What is trust and confidence in the police? Policing 4: 241–48. [Google Scholar] [CrossRef]
- Jacobson, Jessica, Andrew Millie, and Mike Hough. 2005. Tackling Anti-Social Behavior: A Critical Review. Available online: https://doi.org/https://eprints.gla.ac.uk/50122/1/id50122.pdf (accessed on 18 November 2021).
- Johnson, Richard, and Trisha Rhodes. 2009. Urban and small town comparison of citizen demand for police services. International Journal of Police Science & Management 11: 27–38. [Google Scholar]
- Koziarski, Jacek. 2021. The effect of the COVID-19 pandemic on mental health calls for Police Service. Crime Science 10: 1–7. [Google Scholar] [CrossRef]
- Langton, Samuel, Graham Farrell, and Anthony Dixon. 2020. Six months in: Pandemic crime trends in England and Wales. Crime Science 10: 1–16. [Google Scholar] [CrossRef]
- Laufs, Julian, Kate Bowers, Daniel Birks, and Shane Johnson. 2020. Understanding the concept of ‘demand’ in policing: A scoping review and resulting implications for demand management. Policing and Society 31: 895–918. [Google Scholar] [CrossRef]
- Loveday, Barry. 2017. Still plodding along? the police response to the changing profile of crime in England and Wales. International Journal of Police Science & Management 19: 101–9. [Google Scholar] [CrossRef] [Green Version]
- Lum, Cynthia, Maupin Carl, and Megan Stoltz. 2020. The Impact of COVID-19 on Law Enforcement Agencies (Wave 1). Fairfax: International Association of Chief Police Officers, Available online: https://www.theiacp.org/sites/default/files/IACP-GMU%20Survey.pdf (accessed on 28 November 2021).
- Lumb, Richard. 1996. Community attitudes regarding police responsibility for crime control. The Police Journal: Theory, Practice and Principles 69: 319–29. [Google Scholar] [CrossRef]
- Maskály, Jon, Sanja Kutnjak Ivković, and Peter Neyroud. 2021. Policing the COVID-19 pandemic: Exploratory study of the types of organizational changes and police activities across the Globe. International Criminal Justice Review 31: 266–85. [Google Scholar] [CrossRef]
- Maxfield, Michael. 1982. Service time, dispatch time, and demand for police services: Helping more by serving less. Public Administration Review 42: 252. [Google Scholar] [CrossRef]
- Mazzerolle, Lorraine, Dennis Rogan, James Frank, Christine Famega, and John Eck. 2002. Managing citizen calls to the police: The impact of Baltimore’s 3-1-1 call system. Criminology & Public Policy 2: 97–124. [Google Scholar]
- Merry, Simon, Nicola Power, Michelle McManus, and Laurence Alison. 2012. Drivers of public trust and confidence in police in the UK. International Journal of Police Science & Management 14: 118–35. [Google Scholar] [CrossRef]
- Moore, Mark, and Anthony Braga. 2003. Measuring and improving police performance: The lessons of Compstat and its progeny. Policing: An International Journal of Police Strategies & Management 26: 439–53. [Google Scholar] [CrossRef]
- Murray, Jennifer, Inga Heyman, Aandrew Wooff, Nadine Dougall, and Elizabeth Aston. 2018. Law Enforcement and Public Health: Setting the Research Agenda for Scotland. Dundee: Scottish Institute for Policing Research, Available online: https://www.napier.ac.uk/research-and-innovation/research-search/outputs/law-enforcement-and-public-health-setting-the-research-agenda-for-scotland (accessed on 28 November 2021).
- Neanidis, Kyriakos, and Maria Rana. 2021. Crime in the era of COVID-19: Evidence from England. SSRN Electronic Journal. [Google Scholar] [CrossRef]
- Nivette, Amy E., Renee Zahnow, Raul Aguilar, Andri Ahven, Shai Amram, Barak Ariel, María José Arosemena Burbano, Roberta Astolfi, Dirk Baier, Hyung-Min Bark, and et al. 2021. A Global Analysis of the Impact of COVID-19 Stay-at-Home Restrictions on Crime. Nature News. Available online: https://www.nature.com/articles/s41562-021-01139-z (accessed on 28 November 2021).
- Nix, Justin, and Tara Richards. 2021. The immediate and long-term effects of COVID-19 stay-at-home orders on domestic violence calls for service across six U.S. jurisdictions. Police Practice and Research 22: 1443–51. [Google Scholar] [CrossRef]
- NPCC. 2017. National Police Chiefs Council: Better Understanding Demand Policing the Future. Available online: https://www.npcc.police.uk/2017%20FOI/CO/078%2017%20CCC%20April%202017%2024%20Better%20Understanding%20Demand%20Policing%20the%20Future.pdf (accessed on 28 November 2021).
- NPCC. 2021. Update on Coronavirus Fpns Issued by Police—June 2021. London: National Police Chiefs’ Council (NPCC), Available online: https://news.npcc.police.uk/releases/update-on-coronavirus-fpns-issued-by-police-june-2021 (accessed on 28 November 2021).
- Orrick, Dwayne. 2008. Recruitment, Retention, and Turnover of Police Personnel: Reliable, Practical, and Effective Solutions. Springfield: Charles C Thomas. [Google Scholar]
- Ponto, Julie. 2015. Understanding and evaluating survey research. Journal of the Advanced Practitioner in Oncology 6: 168. [Google Scholar] [CrossRef] [PubMed]
- Richards, Tara, Justin Nix, Scott Mourtgos, and Ian Adams. 2021. Comparing 911 and emergency hotline calls for domestic violence in seven cities: What happened when people started staying home due to COVID-19? Criminology & Public Policy 20: 573–91. [Google Scholar] [CrossRef]
- Rix, Andrew, Joshua Faye, and Mike Maguire. 2009. Improving Public Confidence in the Police: A Review of the Evidence, 2nd ed. London: British Library, Available online: https://www.bl.uk/collection-items/improving-public-confidence-in-the-police-a-review-of-the-evidence-2nd-edition (accessed on 28 November 2021).
- Sacks, Stephen. 2003. Evaluation of Police Patrol Patterns. Available online: https://doi.org/https://ideas.repec.org/p/uct/uconnp/2003-17.html (accessed on 1 September 2021).
- Sarac, Abdulkadir, Rajan Batta, Joyendu Bhadury, and Christopher Rump. 1999. Reconfiguring police reporting districts in the City of Buffalo. OR Insight 12: 16–24. [Google Scholar] [CrossRef]
- Schaap, Dorian. 2020. Police trust-building strategies. A socio-institutional, comparative approach. Policing and Society 31: 304–20. [Google Scholar] [CrossRef] [Green Version]
- Shane, Jon. 2007. What Every Chief Executive Should Know: Using Data to Measure Police Performance. New York: Looseleaf Law Publications. [Google Scholar]
- Michael Skidmore, Janice Goldstraw-White, and Martin Gill. 2020. Understanding the police response to fraud: the challenges in configuring a response to a low-priority crime on the rise. Public Money & Management 40: 369–79. [Google Scholar] [CrossRef]
- Taylor, Philip, and Syephen Huxley. 1989. A break from tradition for the San Francisco Police: Patrol Officer Scheduling using an optimization-based decision support system. Interfaces 19: 4–24. [Google Scholar] [CrossRef] [Green Version]
- Taylor Griffiths, Curt, Nahanni Pollard, and Tom Stamatakis. 2015. Assessing the effectiveness and efficiency of a police service: The Analytics of Operational Reviews. Police Practice and Research 16: 175–87. [Google Scholar] [CrossRef]
- Walley, Paul. 2013. Does the public sector need a more demand-driven approach to capacity management? Production Planning & Control 24: 877–90. [Google Scholar]
- Walley, Paul, and Mathew Adams. 2019. Demand and Capacity Management Practices in Austerity: A Study across UK Police Forces. Available online: https://www.open.ac.uk/centres/policing/sites/www.open.ac.uk.centres.policing/files/files/Outputs/Updated%20literature%20review%202019.pdf (accessed on 1 September 2021).
- Walley, Paul, and Anna Jennison-Phillips. 2018a. A study of non-urgent demand to identify opportunities for demand reduction. Policing: A Journal of Policy and Practice 14: 542–54. [Google Scholar] [CrossRef]
- Walley, Paul, and Anna Jennison-Phillips. 2018b. Service Quality in Policing: A Failure Demand Perspective. Coventry: Centre for Policing Research & Learning, Business School, Available online: https://www.open.ac.uk/centres/policing/sites/www.open.ac.uk.centres.policing/files/files/Outputs/Walley%20Jennison%202018%20Service%20quality%20policing.pdf (accessed on 1 September 2021).
- Wilson, Orlando Winifred, and Roy McLaren. 1977. Police Administration. New York: McGraw-Hill. [Google Scholar]
- Wilson, Jeremy, and Alexander Weiss. 2014. Police staffing allocation and managing workload demand: A critical assessment of existing practices. Policing 8: 96–108. [Google Scholar] [CrossRef]
- Wilson, Jeremy, Erin Dalton, Charles Scheer, and Clifford Grammich. 2010. Police Recruitment and Retention for the New Millennium: The State of Knowledge. PsycEXTRA Dataset. Santa Monica: RAND Corporation. [Google Scholar]
- Zaki, Ahmed, Hsing Kenneth Cheng, and Barnett Parker. 1997. A simulation model for the analysis and management of an emergency service system. Socio-Economic Planning Sciences 31: 173–89. [Google Scholar] [CrossRef]
- Zhang, Yue, and Donald Brown. 2013. Police patrol districting method and simulation evaluation using agent-based model & GIS. Security Informatics 2: 1–13. [Google Scholar]
Freedom of Information Request Question | Responding Services (%) | Median No. of Employees | Mean (Average) No. of Employees |
---|---|---|---|
Q1: How many Police Officers reported absent as a result of contracting COVID-19 OFF Duty | 0 (0%) | Not Known | Not Known |
Q2: How many reported absent as a result of contracting COVID-19 ON Duty | 0 (0%) | Not Known | Not Known |
Q3: In TOTAL, both OFF and ON duty, how many reported absent due to contracting COVID -19 | 23 (51%) | 196 | 950 |
Q4: How many reported absent as a result of having to self-isolate after being in contact with someone OFF duty who contracted COVID-19 | 1 (2.2%) | 797 | 797 |
Q5: How many reported absent as a result of having to self-isolate after being in contact with someone ON duty who contracted COVID-19 | 1 (2.2%) | 197 | 197 |
Q6: In TOTAL, how many reported absent due to having to self-isolate after being in contact with someone ON or OFF duty who contracted COVID-19 | 23 (51%) | 937 | 1309 |
Q7: How many were absent having to shield from the risk of contracting COVID-19 in work | 20 (44%) | 93 | 171 |
Q8: Of those absent due to self-isolation or shielding how many were able to conduct meaningful work from home | 17 (38%) | 639.5 | 841 |
Q9: How many Police Staff reported absent as a result of contracting COVID-19 OFF Duty | 0 (0%) | Not Known | Not Known |
Q10: How many reported absent as a result of contracting COVID-19 ON Duty | 0 (0%) | Not Known | Not Known |
Q11: In TOTAL, both OFF and ON duty, how many reported absent due to contracting COVID | 24 (53%) | 122 | 522 |
Q12: How many reported absent as a result of having to self-isolate after being in contact with someone OFF duty who contracted COVID-19 | 2 (4.4%) | 522 | 261 |
Q13: How many reported absent as a result of having to self-isolate after being in contact with someone ON duty who contracted COVID-19 | 1 (2.2 %) | 55 | 55 |
Q14: In TOTAL, how many reported absent due to having to self-isolate after being in contact with someone ON or OFF duty who contracted COVID-19 | 22 (49%) | 536 | 718 |
Q15: How many were absent due to having to shield from risk of contracting COVID-19 in the workplace | 19 (42%) | 99 | 197 |
Q16: Of those absent due to self-isolation or shielding how many were able to conduct meaningful work from home | 17 (38%) | 310 | 484 |
Police Department | % of Respondents | No. of Respondents |
---|---|---|
999 responding | 40.68% | 24 |
Criminal Investigation and Public/Child Protection | 18.64% | 11 |
Community Policing | 15.25% | 9 |
Other | 6.78% | 4 |
Firearms | 5.08% | 3 |
Force major incident i.e., homicide or counter terrorism | 3.39% | 2 |
Management of serious or violent offenders | 1.69% | 1 |
Force control room | 1.69% | 1 |
Back office i.e., HR/Finance etc. | 1.69% | 1 |
Traffic | 1.69% | 1 |
Specialist public order | 1.69% | 1 |
Digital Investigation | 1.69% | 1 |
Intelligence, Dog Handling, Mounted and Surveillance or other covert activities | 0.00% | 0 |
% of Affected Respondents | No. of Relevant Respondents | No. Answered (Skipped or Not Applicable) | |
---|---|---|---|
Contracted COVID-19 in 2020 | 27% | 16 | 60 (0) |
Believed Contraction Occurred on Duty | 50% | 16 | 16 (44) |
Was Required to Self-Isolate in 2020 | 45% | 27 | 60 (0) |
Believed the Contact Leading to Self-Isolation Occurred on Duty | 70% | 19 | 27 (33) |
Proportion of Those Self-Isolating on 2 or More Occasion’s | 73% | 14 | 27 (33) |
Proportion of Those Self-Isolating Able to Work from Home | 52% | 18 | 60 (0) |
Proportion Required to Shield to Prevent Contracting COVID-19 | 14% | 8 | 58 (2) |
Proportion Able to Work from Home Whilst Shielding | 50% | 4 | 8 (52) |
Believed they Were Provided Adequate PPE | 47% | 27 | 58 (2) |
Believed Inadequate PPE was a Factor in their Infection or Self-Isolation | 18% | 11 | 60 (0) |
Believed that Resourcing Capacity was Significantly reduced due to COVID-19 | 83% | 50 | 60 (0) |
Capacity | Capability | ||
---|---|---|---|
Policing Department | % of Respondents | Specialist Capability | |
999 Immediate Response | 80.00% | 60.38% | PIP 1 accredited investigators |
Community Policing | 43.64% | 28.30% | Community Beat Managers |
Force control room | 38.18% | 24.53% | Taser trained officer (TTO) |
Criminal Investigation and Public/Child Protection | 30.91% | 22.64% | PIP 2 and PIP 3 accredited investigators |
Intelligence | 16.36% | 9.43% | Police analysts |
Firearms | 14.55% | 16.98% | Authorised firearms officer (AFO) |
Management of serious or violent offenders | 12.73% | N/A | N/A |
Roads Policing | 10.91% | 18.87% | Advanced drivers |
Public order | 10.91% | 20.75% | Public order trained staff (including command courses) |
9.43% | Specialist search | ||
Other | 10.91% | 24.53% | Other |
Back office i.e., HR/Finance etc. | 10.91% | ||
Dog handling | 7.27% | 7.55% | Dog Handlers |
Surveillance of other covert activities | 7.27% | 7.55% | Exhibits officers |
Digital Investigation | 7.27% | 15.09% | Digital media investigators |
11.32% | Digital forensic examiners | ||
Force major incident i.e., homicide or counter terrorism | 3.64% | 3.77% | Holmes Indexer or other MIR specialisms |
Mounted | 3.64% | N/A | N/A |
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Halford, E. An Exploration of the Impact of COVID-19 on Police Demand, Capacity and Capability. Soc. Sci. 2022, 11, 305. https://doi.org/10.3390/socsci11070305
Halford E. An Exploration of the Impact of COVID-19 on Police Demand, Capacity and Capability. Social Sciences. 2022; 11(7):305. https://doi.org/10.3390/socsci11070305
Chicago/Turabian StyleHalford, Eric. 2022. "An Exploration of the Impact of COVID-19 on Police Demand, Capacity and Capability" Social Sciences 11, no. 7: 305. https://doi.org/10.3390/socsci11070305
APA StyleHalford, E. (2022). An Exploration of the Impact of COVID-19 on Police Demand, Capacity and Capability. Social Sciences, 11(7), 305. https://doi.org/10.3390/socsci11070305