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10.3934/mbe.2021169 http://scihub22266oqcxt.onion/10.3934/mbe.2021169 34198391!ä!34198391 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Math+Biosci+Eng 2021 ; 18 (4): 3384-3403 Nephropedia Template TP {{tp|p=34198391|t=2021. Social contacts, epidemic spreading and health system Mathematical modeling and applications to COVID-19 infection |pdf=|usr=}}{{34198391}} gab.com Text Social contacts, epidemic spreading and health system Mathematical modeling and applications to COVID-19 infection JO: Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=34198391 #FOAvip Lockdown and social distancing, as well as testing and contact tracing, are the main measures assumed by the governments to control and limit the spread of COVID-19 infection. In reason of that, special attention was recently paid by the scientific community to the mathematical modeling of infection spreading by including in classical models the effects of the distribution of contacts between individuals. Among other approaches, the coupling of the classical SIR model with a statistical study of the distribution of social contacts among the population, led some of the present authors to build a Social SIR model, able to accurately follow the effect of the decrease in contacts resulting from the lockdown measures adopted in various European countries in the first phase of the epidemic. The Social SIR has been recently tested and improved through a fruitful collaboration with the Health Protection Agency (ATS) of the province of Pavia (Italy), that made it possible to have at disposal all the relevant data relative to the spreading of COVID-19 infection in the province (half a million of people), starting from February 2020. The statistical analysis of the data was relevant to fit at best the parameters of the mathematical model, and to make short-term predictions of the spreading evolution in order to optimize the response of the local health system. Twit Text FOAVip Social contacts, epidemic spreading and health system Mathematical modeling and applications to COVID-19 infection ????Math Biosci Eng http://www.kidney.de/pget.php?&tw=1&pmid=34198391 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34198391 #FOAvip English Wikipedia <ref>{{Cite pmid|34198391}}</ref> Social contacts, epidemic spreading and health system Mathematical modeling and applications to COVID-19 infection #MMPMID34198391 Zanella M; Bardelli C; Azzi M; Deandrea S; Perotti P; Silva S; Cadum E; Figini S; Toscani G Math Biosci Eng 2021[Apr]; 18 (4): 3384-3403 PMID34198391show ga Lockdown and social distancing, as well as testing and contact tracing, are the main measures assumed by the governments to control and limit the spread of COVID-19 infection. In reason of that, special attention was recently paid by the scientific community to the mathematical modeling of infection spreading by including in classical models the effects of the distribution of contacts between individuals. Among other approaches, the coupling of the classical SIR model with a statistical study of the distribution of social contacts among the population, led some of the present authors to build a Social SIR model, able to accurately follow the effect of the decrease in contacts resulting from the lockdown measures adopted in various European countries in the first phase of the epidemic. The Social SIR has been recently tested and improved through a fruitful collaboration with the Health Protection Agency (ATS) of the province of Pavia (Italy), that made it possible to have at disposal all the relevant data relative to the spreading of COVID-19 infection in the province (half a million of people), starting from February 2020. The statistical analysis of the data was relevant to fit at best the parameters of the mathematical model, and to make short-term predictions of the spreading evolution in order to optimize the response of the local health system. |*COVID-19[MESH] |*Epidemics[MESH] |Communicable Disease Control[MESH] |Europe[MESH] |Humans[MESH] |Italy[MESH] |Models, Theoretical[MESH]Social contacts, epidemic spreading and health system Mathematical mo(epmc).pdf DeepDyve Pubget Overpricing