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10.3934/mbe.2021355 http://scihub22266oqcxt.onion/10.3934/mbe.2021355 34814244!ä!34814244 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Math+Biosci+Eng 2021 ; 18 (6): 7161-7190 Nephropedia Template TP {{tp|p=34814244|t=2021. Modelling lockdown measures in epidemic outbreaks using selective socio-economic containment with uncertainty |pdf=|usr=}}{{34814244}} gab.com Text Modelling lockdown measures in epidemic outbreaks using selective socio-economic containment with uncertainty JO: Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=34814244 #FOAvip After the introduction of drastic containment measures aimed at stopping the epidemic contagion from SARS-CoV2, many governments have adopted a strategy based on a periodic relaxation of such measures in the face of a severe economic crisis caused by lockdowns. Assessing the impact of such openings in relation to the risk of a resumption of the spread of the disease is an extremely difficult problem due to the many unknowns concerning the actual number of people infected, the actual reproduction number and infection fatality rate of the disease. In this work, starting from a SEIRD compartmental model with a social structure based on the age of individuals and stochastic inputs that account for data uncertainty, the effects of containment measures are introduced via an optimal control problem dependent on specific social activities, such as home, work, school, etc. Through a short time horizon approximation, we derive models with multiple feedback controls depending on social activities that allow us to assess the impact of selective relaxation of containment measures in the presence of uncertain data. After analyzing the effects of the various controls, results from different scenarios concerning the first wave of the epidemic in some major countries, including Germany, France, Italy, Spain, the United Kingdom and the United States, are presented and discussed. Specific contact patterns in the home, work, school and other locations have been considered for each country. Numerical simulations show that a careful strategy of progressive relaxation of containment measures, such as that adopted by some governments, may be able to keep the epidemic under control by restarting various productive activities. Twit Text FOAVip Modelling lockdown measures in epidemic outbreaks using selective socio-economic containment with uncertainty ????Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=34814244 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34814244 #FOAvip English Wikipedia <ref>{{Cite pmid|34814244}}</ref> Modelling lockdown measures in epidemic outbreaks using selective socio-economic containment with uncertainty #MMPMID34814244 Albi G; Pareschi L; Zanella M Math Biosci Eng 2021[Aug]; 18 (6): 7161-7190 PMID34814244show ga After the introduction of drastic containment measures aimed at stopping the epidemic contagion from SARS-CoV2, many governments have adopted a strategy based on a periodic relaxation of such measures in the face of a severe economic crisis caused by lockdowns. Assessing the impact of such openings in relation to the risk of a resumption of the spread of the disease is an extremely difficult problem due to the many unknowns concerning the actual number of people infected, the actual reproduction number and infection fatality rate of the disease. In this work, starting from a SEIRD compartmental model with a social structure based on the age of individuals and stochastic inputs that account for data uncertainty, the effects of containment measures are introduced via an optimal control problem dependent on specific social activities, such as home, work, school, etc. Through a short time horizon approximation, we derive models with multiple feedback controls depending on social activities that allow us to assess the impact of selective relaxation of containment measures in the presence of uncertain data. After analyzing the effects of the various controls, results from different scenarios concerning the first wave of the epidemic in some major countries, including Germany, France, Italy, Spain, the United Kingdom and the United States, are presented and discussed. Specific contact patterns in the home, work, school and other locations have been considered for each country. Numerical simulations show that a careful strategy of progressive relaxation of containment measures, such as that adopted by some governments, may be able to keep the epidemic under control by restarting various productive activities. |*COVID-19[MESH] |Communicable Disease Control[MESH] |Disease Outbreaks/prevention & control[MESH] |Humans[MESH] |RNA, Viral[MESH] |SARS-CoV-2[MESH] |Socioeconomic Factors[MESH]Modelling lockdown measures in epidemic outbreaks using selective soci(epmc).pdf DeepDyve Pubget Overpricing