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10.1371/journal.pone.0240077 http://scihub22266oqcxt.onion/10.1371/journal.pone.0240077 33052950!7556819!33052950     free     free     free Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 215.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 249.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2020 ; 15 (10): e0240077 Nephropedia Template TP {{tp|p=33052950|t=2020. Measuring the resilience of criminogenic ecosystems to global disruption: A case-study of COVID-19 in China |pdf=|usr=}}{{33052950}} gab.com Text Measuring the resilience of criminogenic ecosystems to global disruption: A case-study of COVID-19 in China JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33052950 #FOAvip This paper uses resilience as a lens through which to analyse disasters and other major threats to patterns of criminal behaviour. A set of indicators and mathematical models are introduced that aim to quantitatively describe changes in crime levels in comparison to what could otherwise be expected, and what might be expected by way of adaptation and subsequent resumption of those patterns. The validity of the proposed resilience assessment tool is demonstrated using commercial theft data from the COVID-19 pandemic period. A 64 per cent reduction in crime was found in the studied city (China) during an 83-day period, before daily crime levels bounced back to higher than expected values. The proposed resilience indicators are recommended as benchmarking instruments for evaluating and comparing the global impact of COVID-19 policies on crime and public safety. Twit Text FOAVip Measuring the resilience of criminogenic ecosystems to global disruption: A case-study of COVID-19 in China ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33052950 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33052950 #FOAvip English Wikipedia <ref>{{Cite pmid|33052950}}</ref> Measuring the resilience of criminogenic ecosystems to global disruption: A case-study of COVID-19 in China #MMPMID33052950 Borrion H; Kurland J; Tilley N; Chen P PLoS One 2020[]; 15 (10): e0240077 PMID33052950show ga This paper uses resilience as a lens through which to analyse disasters and other major threats to patterns of criminal behaviour. A set of indicators and mathematical models are introduced that aim to quantitatively describe changes in crime levels in comparison to what could otherwise be expected, and what might be expected by way of adaptation and subsequent resumption of those patterns. The validity of the proposed resilience assessment tool is demonstrated using commercial theft data from the COVID-19 pandemic period. A 64 per cent reduction in crime was found in the studied city (China) during an 83-day period, before daily crime levels bounced back to higher than expected values. The proposed resilience indicators are recommended as benchmarking instruments for evaluating and comparing the global impact of COVID-19 policies on crime and public safety. |*Models, Theoretical[MESH] |*Resilience, Psychological[MESH] |COVID-19[MESH] |China[MESH] |Coronavirus Infections/epidemiology/*psychology[MESH] |Crime/*statistics & numerical data[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/epidemiology/*psychology[MESH]Measuring the resilience of criminogenic ecosystems to global disrupti(epmc).pdf DeepDyve Pubget Overpricing