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10.1186/s12889-020-09799-8 http://scihub22266oqcxt.onion/10.1186/s12889-020-09799-8 33198707!7667656!33198707     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Public+Health 2020 ; 20 (1): 1713 Nephropedia Template TP {{tp|p=33198707|t=2020. Modeling the impact of school reopening on SARS-CoV-2 transmission using contact structure data from Shanghai |pdf=|usr=}}{{33198707}} gab.com Text Modeling the impact of school reopening on SARS-CoV-2 transmission using contact structure data from Shanghai JO: BMC Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33198707 #FOAvip BACKGROUND: Mathematical modeling studies have suggested that pre-emptive school closures alone have little overall impact on SARS-CoV-2 transmission, but reopening schools in the background of community contact reduction presents a unique scenario that has not been fully assessed. METHODS: We adapted a previously published model using contact information from Shanghai to model school reopening under various conditions. We investigated different strategies by combining the contact patterns observed between different age groups during both baseline and "lockdown" periods. We also tested the robustness of our strategy to the assumption of lower susceptibility to infection in children under age 15 years. RESULTS: We find that reopening schools for all children would maintain a post-intervention R(0) < 1 up to a baseline R(0) of approximately 3.3 provided that daily contacts among children 10-19 years are reduced to 33% of baseline. This finding was robust to various estimates of susceptibility to infection in children relative to adults (up to 50%) and to estimates of various levels of concomitant reopening in the rest of the community (up to 40%). However, full school reopening without any degree of contact reduction in the school setting returned R(0) virtually back to baseline, highlighting the importance of mitigation measures. CONCLUSIONS: These results, based on contact structure data from Shanghai, suggest that schools can reopen with proper precautions during conditions of extreme contact reduction and during conditions of reasonable levels of reopening in the rest of the community. Twit Text FOAVip Modeling the impact of school reopening on SARS-CoV-2 transmission using contact structure data from Shanghai ????BMC Public Health http://www.kidney.de/pget.php?&tw=1&pmid=33198707 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33198707 #FOAvip English Wikipedia <ref>{{Cite pmid|33198707}}</ref> Modeling the impact of school reopening on SARS-CoV-2 transmission using contact structure data from Shanghai #MMPMID33198707 Lee B; Hanley JP; Nowak S; Bates JHT; Hebert-Dufresne L BMC Public Health 2020[Nov]; 20 (1): 1713 PMID33198707show ga BACKGROUND: Mathematical modeling studies have suggested that pre-emptive school closures alone have little overall impact on SARS-CoV-2 transmission, but reopening schools in the background of community contact reduction presents a unique scenario that has not been fully assessed. METHODS: We adapted a previously published model using contact information from Shanghai to model school reopening under various conditions. We investigated different strategies by combining the contact patterns observed between different age groups during both baseline and "lockdown" periods. We also tested the robustness of our strategy to the assumption of lower susceptibility to infection in children under age 15 years. RESULTS: We find that reopening schools for all children would maintain a post-intervention R(0) < 1 up to a baseline R(0) of approximately 3.3 provided that daily contacts among children 10-19 years are reduced to 33% of baseline. This finding was robust to various estimates of susceptibility to infection in children relative to adults (up to 50%) and to estimates of various levels of concomitant reopening in the rest of the community (up to 40%). However, full school reopening without any degree of contact reduction in the school setting returned R(0) virtually back to baseline, highlighting the importance of mitigation measures. CONCLUSIONS: These results, based on contact structure data from Shanghai, suggest that schools can reopen with proper precautions during conditions of extreme contact reduction and during conditions of reasonable levels of reopening in the rest of the community. |COVID-19[MESH] |Child[MESH] |China/epidemiology[MESH] |Contact Tracing[MESH] |Coronavirus Infections/epidemiology/*transmission[MESH] |Humans[MESH] |Models, Theoretical[MESH] |Pandemics[MESH] |Pneumonia, Viral/epidemiology/*transmission[MESH]Modeling the impact of school reopening on SARS-CoV-2 transmission usi(epmc).pdf DeepDyve Pubget Overpricing