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10.1186/s12967-020-02513-7 http://scihub22266oqcxt.onion/10.1186/s12967-020-02513-7 32891155!7474336!32891155     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Transl+Med 2020 ; 18 (1): 345 Nephropedia Template TP {{tp|p=32891155|t=2020. Mathematical models for devising the optimal SARS-CoV-2 strategy for eradication in China, South Korea, and Italy |pdf=|usr=}}{{32891155}} gab.com Text Mathematical models for devising the optimal SARS-CoV-2 strategy for eradication in China, South Korea, and Italy JO: J Transl Med http://www.kidney.de/pget.php?&tw=1&pmid=32891155 #FOAvip BACKGROUND: Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), spreads rapidly and has attracted worldwide attention. METHODS: To improve the forecast accuracy and investigate the spread of SARS-CoV-2, we constructed four mathematical models to numerically estimate the spread of SARS-CoV-2 and the efficacy of eradication strategies. RESULTS: Using the Susceptible-Exposed-Infected-Removed (SEIR) model, and including measures such as city closures and extended leave policies implemented by the Chinese government that effectively reduced the beta value, we estimated that the beta value and basic transmission number, R(0), of SARS-CoV-2 was 0.476/6.66 in Wuhan, 0.359/5.03 in Korea, and 0.400/5.60 in Italy. Considering medicine and vaccines, an advanced model demonstrated that the emergence of vaccines would greatly slow the spread of the virus. Our model predicted that 100,000 people would become infected assuming that the isolation rate alpha in Wuhan was 0.30. If quarantine measures were taken from March 10, 2020, and the quarantine rate of alpha was also 0.3, then the final number of infected people was predicted to be 11,426 in South Korea and 147,142 in Italy. CONCLUSIONS: Our mathematical models indicate that SARS-CoV-2 eradication depends on systematic planning, effective hospital isolation, and SARS-CoV-2 vaccination, and some measures including city closures and leave policies should be implemented to ensure SARS-CoV-2 eradication. Twit Text FOAVip Mathematical models for devising the optimal SARS-CoV-2 strategy for eradication in China, South Korea, and Italy ????J Transl Med http://www.kidney.de/pget.php?&tw=1&pmid=32891155 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32891155 #FOAvip English Wikipedia <ref>{{Cite pmid|32891155}}</ref> Mathematical models for devising the optimal SARS-CoV-2 strategy for eradication in China, South Korea, and Italy #MMPMID32891155 Jiang S; Li Q; Li C; Liu S; He X; Wang T; Li H; Corpe C; Zhang X; Xu J; Wang J J Transl Med 2020[Sep]; 18 (1): 345 PMID32891155show ga BACKGROUND: Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), spreads rapidly and has attracted worldwide attention. METHODS: To improve the forecast accuracy and investigate the spread of SARS-CoV-2, we constructed four mathematical models to numerically estimate the spread of SARS-CoV-2 and the efficacy of eradication strategies. RESULTS: Using the Susceptible-Exposed-Infected-Removed (SEIR) model, and including measures such as city closures and extended leave policies implemented by the Chinese government that effectively reduced the beta value, we estimated that the beta value and basic transmission number, R(0), of SARS-CoV-2 was 0.476/6.66 in Wuhan, 0.359/5.03 in Korea, and 0.400/5.60 in Italy. Considering medicine and vaccines, an advanced model demonstrated that the emergence of vaccines would greatly slow the spread of the virus. Our model predicted that 100,000 people would become infected assuming that the isolation rate alpha in Wuhan was 0.30. If quarantine measures were taken from March 10, 2020, and the quarantine rate of alpha was also 0.3, then the final number of infected people was predicted to be 11,426 in South Korea and 147,142 in Italy. CONCLUSIONS: Our mathematical models indicate that SARS-CoV-2 eradication depends on systematic planning, effective hospital isolation, and SARS-CoV-2 vaccination, and some measures including city closures and leave policies should be implemented to ensure SARS-CoV-2 eradication. |*Disease Eradication[MESH] |*Models, Theoretical[MESH] |Betacoronavirus/*physiology[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/epidemiology/*prevention & control/*virology[MESH] |Epidemics/prevention & control[MESH] |Government[MESH] |Humans[MESH] |Italy/epidemiology[MESH] |Pandemics/*prevention & control[MESH] |Pneumonia, Viral/epidemiology/*prevention & control/*virology[MESH] |Quarantine[MESH] |Republic of Korea/epidemiology[MESH] |SARS-CoV-2[MESH]Mathematical models for devising the optimal SARS-CoV-2 strategy for e(epmc).pdf DeepDyve Pubget Overpricing