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10.5694/mja2.50845 http://scihub22266oqcxt.onion/10.5694/mja2.50845 33207390!7753668!33207390     free     free     free Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 227.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Med+J+Aust 2021 ; 214 (2): 79-83 Nephropedia Template TP {{tp|p=33207390|t=2021. Modelling the impact of relaxing COVID-19 control measures during a period of low viral transmission |pdf=|usr=}}{{33207390}} gab.com Text Modelling the impact of relaxing COVID-19 control measures during a period of low viral transmission JO: Med J Aust http://www.kidney.de/pget.php?&tw=1&pmid=33207390 #FOAvip OBJECTIVES: To assess the risks associated with relaxing coronavirus disease 2019 (COVID-19)-related physical distancing restrictions and lockdown policies during a period of low viral transmission. DESIGN: Network-based viral transmission risks in households, schools, workplaces, and a variety of community spaces and activities were simulated in an agent-based model, Covasim. SETTING: The model was calibrated for a baseline scenario reflecting the epidemiological and policy environment in Victoria during March-May 2020, a period of low community viral transmission. INTERVENTION: Policy changes for easing COVID-19-related restrictions from May 2020 were simulated in the context of interventions that included testing, contact tracing (including with a smartphone app), and quarantine. MAIN OUTCOME MEASURE: Increase in detected COVID-19 cases following relaxation of restrictions. RESULTS: Policy changes that facilitate contact of individuals with large numbers of unknown people (eg, opening bars, increased public transport use) were associated with the greatest risk of COVID-19 case numbers increasing; changes leading to smaller, structured gatherings with known contacts (eg, small social gatherings, opening schools) were associated with lower risks. In our model, the rise in case numbers following some policy changes was notable only two months after their implementation. CONCLUSIONS: Removing several COVID-19-related restrictions within a short period of time should be undertaken with care, as the consequences may not be apparent for more than two months. Our findings support continuation of work from home policies (to reduce public transport use) and strategies that mitigate the risk associated with re-opening of social venues. Twit Text FOAVip Modelling the impact of relaxing COVID-19 control measures during a period of low viral transmission ????Med J Aust http://www.kidney.de/pget.php?&tw=1&pmid=33207390 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33207390 #FOAvip English Wikipedia <ref>{{Cite pmid|33207390}}</ref> Modelling the impact of relaxing COVID-19 control measures during a period of low viral transmission #MMPMID33207390 Scott N; Palmer A; Delport D; Abeysuriya R; Stuart RM; Kerr CC; Mistry D; Klein DJ; Sacks-Davis R; Heath K; Hainsworth SW; Pedrana A; Stoove M; Wilson D; Hellard ME Med J Aust 2021[Feb]; 214 (2): 79-83 PMID33207390show ga OBJECTIVES: To assess the risks associated with relaxing coronavirus disease 2019 (COVID-19)-related physical distancing restrictions and lockdown policies during a period of low viral transmission. DESIGN: Network-based viral transmission risks in households, schools, workplaces, and a variety of community spaces and activities were simulated in an agent-based model, Covasim. SETTING: The model was calibrated for a baseline scenario reflecting the epidemiological and policy environment in Victoria during March-May 2020, a period of low community viral transmission. INTERVENTION: Policy changes for easing COVID-19-related restrictions from May 2020 were simulated in the context of interventions that included testing, contact tracing (including with a smartphone app), and quarantine. MAIN OUTCOME MEASURE: Increase in detected COVID-19 cases following relaxation of restrictions. RESULTS: Policy changes that facilitate contact of individuals with large numbers of unknown people (eg, opening bars, increased public transport use) were associated with the greatest risk of COVID-19 case numbers increasing; changes leading to smaller, structured gatherings with known contacts (eg, small social gatherings, opening schools) were associated with lower risks. In our model, the rise in case numbers following some policy changes was notable only two months after their implementation. CONCLUSIONS: Removing several COVID-19-related restrictions within a short period of time should be undertaken with care, as the consequences may not be apparent for more than two months. Our findings support continuation of work from home policies (to reduce public transport use) and strategies that mitigate the risk associated with re-opening of social venues. |*Epidemiological Monitoring[MESH] |*Health Policy[MESH] |*Models, Theoretical[MESH] |*Physical Distancing[MESH] |*Quarantine[MESH] |COVID-19/*prevention & control/*transmission[MESH] |Contact Tracing/methods[MESH] |Humans[MESH] |Mobile Applications[MESH] |Risk Assessment[MESH] |SARS-CoV-2[MESH] |Smartphone[MESH]Modelling the impact of relaxing COVID-19 control measures during a pe(epmc).pdf DeepDyve Pubget Overpricing