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10.1038/s41562-021-01139-z http://scihub22266oqcxt.onion/10.1038/s41562-021-01139-z 34079096!8298205!34079096     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Hum+Behav 2021 ; 5 (7): 868-877 Nephropedia Template TP {{tp|p=34079096|t=2021. A global analysis of the impact of COVID-19 stay-at-home restrictions on crime |pdf=|usr=}}{{34079096}} gab.com Text A global analysis of the impact of COVID-19 stay-at-home restrictions on crime JO: Nat Hum Behav http://www.kidney.de/pget.php?&tw=1&pmid=34079096 #FOAvip The stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings show that the stay-at-home policies were associated with a considerable drop in urban crime, but with substantial variation across cities and types of crime. Meta-regression results showed that more stringent restrictions over movement in public space were predictive of larger declines in crime. Twit Text FOAVip A global analysis of the impact of COVID-19 stay-at-home restrictions on crime ????Nat Hum Behav http://www.kidney.de/pget.php?&tw=1&pmid=34079096 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34079096 #FOAvip English Wikipedia <ref>{{Cite pmid|34079096}}</ref> A global analysis of the impact of COVID-19 stay-at-home restrictions on crime #MMPMID34079096 Nivette AE; Zahnow R; Aguilar R; Ahven A; Amram S; Ariel B; Burbano MJA; Astolfi R; Baier D; Bark HM; Beijers JEH; Bergman M; Breetzke G; Concha-Eastman IA; Curtis-Ham S; Davenport R; Diaz C; Fleitas D; Gerell M; Jang KH; Kaariainen J; Lappi-Seppala T; Lim WS; Revilla RL; Mazerolle L; Mesko G; Pereda N; Peres MFT; Poblete-Cazenave R; Rose S; Svensson R; Trajtenberg N; van der Lippe T; Veldkamp J; Perdomo CJV; Eisner MP Nat Hum Behav 2021[Jul]; 5 (7): 868-877 PMID34079096show ga The stay-at-home restrictions to control the spread of COVID-19 led to unparalleled sudden change in daily life, but it is unclear how they affected urban crime globally. We collected data on daily counts of crime in 27 cities across 23 countries in the Americas, Europe, the Middle East and Asia. We conducted interrupted time series analyses to assess the impact of stay-at-home restrictions on different types of crime in each city. Our findings show that the stay-at-home policies were associated with a considerable drop in urban crime, but with substantial variation across cities and types of crime. Meta-regression results showed that more stringent restrictions over movement in public space were predictive of larger declines in crime. |*Physical Distancing[MESH] |COVID-19/*epidemiology[MESH] |Crime/*trends[MESH] |Europe[MESH] |Humans[MESH] |Middle East[MESH] |Public Health/statistics & numerical data[MESH] |Quarantine/*trends[MESH]A global analysis of the impact of COVID-19 stay-at-home restrictions (epmc).pdf DeepDyve Pubget Overpricing