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10.25100/cm.v51i2.4277 http://scihub22266oqcxt.onion/10.25100/cm.v51i2.4277 33012889!7518732!33012889     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33012889&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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\33012889.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Colomb+Med+(Cali) 2020 ; 51 (2): e4277 Nephropedia Template TP {{tp|p=33012889|t=2020. Mathematical model and COVID-19 |pdf=|usr=}}{{33012889}} gab.com Text Mathematical model and COVID-19 JO: Colomb Med (Cali) http://www.kidney.de/pget.php?&tw=1&pmid=33012889 #FOAvip Currently, there are several mathematical models that have been developed to understand the dynamics of COVID-19 infection. However, the difference in the sociocultural contexts between countries requires the specific adjustment of these estimates to each scenario. This article analyses the main elements used for the construction of models from epidemiological patterns, to describe the interaction, explain the dynamics of infection and recovery, and to predict possible scenarios that may arise with the introduction of public health measures such as social distancing and quarantines, specifically in the case of the pandemic unleashed by the new SARS-CoV-2/COVID-19 virus. COMMENT: Mathematical models are highly relevant for making objective and effective decisions to control and eradicate the disease. These models used for COVID-19 have supported and will continue to provide information for the selection and implementation of programs and public policies that prevent associated complications, reduce the speed of the virus spread and minimize the occurrence of severe cases of the disease that may collapse health systems. Twit Text FOAVip Mathematical model and COVID-19 ????Colomb Med (Cali) http://www.kidney.de/pget.php?&tw=1&pmid=33012889 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33012889 #FOAvip English Wikipedia <ref>{{Cite pmid|33012889}}</ref> Mathematical model and COVID-19 #MMPMID33012889 Grillo Ardila EK; Santaella-Tenorio J; Guerrero R; Bravo LE Colomb Med (Cali) 2020[Jun]; 51 (2): e4277 PMID33012889show ga Currently, there are several mathematical models that have been developed to understand the dynamics of COVID-19 infection. However, the difference in the sociocultural contexts between countries requires the specific adjustment of these estimates to each scenario. This article analyses the main elements used for the construction of models from epidemiological patterns, to describe the interaction, explain the dynamics of infection and recovery, and to predict possible scenarios that may arise with the introduction of public health measures such as social distancing and quarantines, specifically in the case of the pandemic unleashed by the new SARS-CoV-2/COVID-19 virus. COMMENT: Mathematical models are highly relevant for making objective and effective decisions to control and eradicate the disease. These models used for COVID-19 have supported and will continue to provide information for the selection and implementation of programs and public policies that prevent associated complications, reduce the speed of the virus spread and minimize the occurrence of severe cases of the disease that may collapse health systems. |*Health Policy[MESH] |*Models, Theoretical[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/prevention & control[MESH] |Delivery of Health Care/organization & administration[MESH] |Humans[MESH] |Pandemics/prevention & control[MESH] |Pneumonia, Viral/*epidemiology/prevention & control[MESH] |Public Health[MESH] |Quarantine[MESH]Mathematical model and COVID-19 (epmc).pdf DeepDyve Pubget Overpricing