• A new toolkit for capturing how COVID-19

    From ScienceDaily@1337:3/111 to All on Thu Oct 15 21:30:42 2020
    A new toolkit for capturing how COVID-19 impacts crime
    Tools grounded in resilience theory could help communities better prepare
    for disasters

    Date:
    October 15, 2020
    Source:
    PLOS
    Summary:
    A new set of assessment tools shows promise in capturing how the
    COVID-19 pandemic affects patterns of criminal activity.



    FULL STORY ==========================================================================
    A new set of assessment tools shows promise in capturing how the
    COVID-19 pandemic affects patterns of criminal activity. Herve' Borrion
    of University College London, U.K., and colleagues present this toolkit
    in the open-access journal PLOS ONE on October 14.


    ========================================================================== Previous research has demonstrated how crime patterns can be affected by regular seasonal factors, such as holidays and hours of darkness. However,
    few studies have investigated how crime within a community responds to exceptional events that can significantly disrupt everyday life, such
    as natural disasters, terrorist attacks, the Olympics, or the COVID-19 pandemic. Preliminary evidence has linked the pandemic to increased
    rates of domestic violence and steep declines in other forms of crime.

    To better understand how responses to the COVID 19 outbreak affected
    crime patterns, Borrion and colleagues drew on resilience theory, which considers the ability of systems to adapt and survive in the face of perturbations. They used resilience theory as the basis for developing
    a set of quantitative tools, including mathematical models, that can be
    used to analyze how the pandemic impacts criminal activity within and
    between cities.

    To demonstrate these tools, the researchers applied them to daily
    commercial theft data from a large, anonymous city in China that has
    already resumed routine activities after undergoing a complete wave of COVID-19, using data obtained starting in September 2017 (prior to the outbreak) until April 29, 2020, when the city of the study had already
    fully exited lockdown measures.

    They found that commercial theft rates dropped by 64 percent over an
    83-day period, before returning to rates that were higher than expected.

    This case study shows how the new tools can be used to examine the
    effects of COVID-19 and other disasters on crime. In particular, the
    authors highlight the value of the "resilience indicators" they developed, which can capture how criminal activity recovers after a disturbance.

    Other researchers could apply this toolkit to further investigate the
    impact of COVID-19 on crime around the world. The resulting knowledge
    could inform efforts to better anticipate and more effectively address
    public safety needs in the face of disaster.

    Dr Borrion notes: "Up until now, 'crime and disasters' was a tiny area in
    crime science. With COVID, researchers have started to realize how much
    there is to learn from disruptive events...For this work we've adopted
    the perspective of offenders and examined how their business activities
    have been disrupted by COVID stringencies." He adds: "China was the first country in the word where criminal activities that had been disrupted by
    COVID stringencies have resumed to normal. The more we understand what
    happened there, the better we can help police agencies across the world."

    ========================================================================== Story Source: Materials provided by PLOS. Note: Content may be edited
    for style and length.


    ========================================================================== Journal Reference:
    1. Herve' Borrion, Justin Kurland, Nick Tilley, Peng Chen. Measuring
    the
    resilience of criminogenic ecosystems to global disruption:
    A case-study of COVID-19 in China. PLOS ONE, 2020; 15 (10):
    e0240077 DOI: 10.1371/ journal.pone.0240077 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/10/201014141142.htm

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