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10.1007/s00285-021-01630-1 http://scihub22266oqcxt.onion/10.1007/s00285-021-01630-1 34173890!8233611!34173890     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34173890&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\34173890.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Math+Biol 2021 ; 83 (1): 4 Nephropedia Template TP {{tp|p=34173890|t=2021. Kinetic models for epidemic dynamics with social heterogeneity |pdf=|usr=}}{{34173890}} gab.com Text Kinetic models for epidemic dynamics with social heterogeneity JO: J Math Biol http://www.kidney.de/pget.php?&tw=1&pmid=34173890 #FOAvip We introduce a mathematical description of the impact of the number of daily contacts in the spread of infectious diseases by integrating an epidemiological dynamics with a kinetic modeling of population-based contacts. The kinetic description leads to study the evolution over time of Boltzmann-type equations describing the number densities of social contacts of susceptible, infected and recovered individuals, whose proportions are driven by a classical SIR-type compartmental model in epidemiology. Explicit calculations show that the spread of the disease is closely related to moments of the contact distribution. Furthermore, the kinetic model allows to clarify how a selective control can be assumed to achieve a minimal lockdown strategy by only reducing individuals undergoing a very large number of daily contacts. We conduct numerical simulations which confirm the ability of the model to describe different phenomena characteristic of the rapid spread of an epidemic. Motivated by the COVID-19 pandemic, a last part is dedicated to fit numerical solutions of the proposed model with infection data coming from different European countries. Twit Text FOAVip Kinetic models for epidemic dynamics with social heterogeneity ????J Math Biol http://www.kidney.de/pget.php?&tw=1&pmid=34173890 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34173890 #FOAvip English Wikipedia <ref>{{Cite pmid|34173890}}</ref> Kinetic models for epidemic dynamics with social heterogeneity #MMPMID34173890 Dimarco G; Perthame B; Toscani G; Zanella M J Math Biol 2021[Jun]; 83 (1): 4 PMID34173890show ga We introduce a mathematical description of the impact of the number of daily contacts in the spread of infectious diseases by integrating an epidemiological dynamics with a kinetic modeling of population-based contacts. The kinetic description leads to study the evolution over time of Boltzmann-type equations describing the number densities of social contacts of susceptible, infected and recovered individuals, whose proportions are driven by a classical SIR-type compartmental model in epidemiology. Explicit calculations show that the spread of the disease is closely related to moments of the contact distribution. Furthermore, the kinetic model allows to clarify how a selective control can be assumed to achieve a minimal lockdown strategy by only reducing individuals undergoing a very large number of daily contacts. We conduct numerical simulations which confirm the ability of the model to describe different phenomena characteristic of the rapid spread of an epidemic. Motivated by the COVID-19 pandemic, a last part is dedicated to fit numerical solutions of the proposed model with infection data coming from different European countries. |*COVID-19[MESH] |*Models, Theoretical[MESH] |*Pandemics[MESH] |Communicable Disease Control[MESH] |Humans[MESH]Kinetic models for epidemic dynamics with social heterogeneity (epmc).pdf DeepDyve Pubget Overpricing