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10.5867/medwave.2020.10.8057 http://scihub22266oqcxt.onion/10.5867/medwave.2020.10.8057 33231573!ä!33231573 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 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 Deprecated: Implicit conversion from float 267.2 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       Medwave 2020 ; 20 (10): e8057 Nephropedia Template TP {{tp|p=33231573|t=2020. Prediccion del fin del confinamiento despues del maximo de casos en la primera ola de la pandemia COVID-19 en Chile |pdf=|usr=}}{{33231573}} gab.com Text Prediccion del fin del confinamiento despues del maximo de casos en la primera ola de la pandemia COVID-19 en Chile JO: Medwave http://www.kidney.de/pget.php?&tw=1&pmid=33231573 #FOAvip INTRODUCTION: The results of mandatory confinement have been detrimental in several respects. Nonetheless, they have resulted in reducing the number of active cases of COVID-19. Chile has begun the de-escalation and needs to know the best time to end the restrictions. OBJECTIVE: We discuss the best conditions and guarantees for the end of compulsory confinement. METHODS: This study is based on a trend model with prediction estimation. The data of the variables of interest were subjected to linear regression studies to determine the curve that best explained the data. The coefficient of determination, the standard deviation of y in x, and the confidence interval of the observed curve were estimated. The trend curve was chosen in accordance with the regression estimates. OUTCOMES: It was found that all dependent variables tended to decrease over time in a quadratic fashion, except for the new cases variable. In general, the R2 and MAPE estimates are satisfactory, except for the variable number of PCR tests per day. CONCLUSIONS: Gradual and cautious steps should be taken before ending mandatory confinement. In the current de-escalator, daily PCR tests should be increased, maintaining vigilance on indicators of incidence, prevalence, and positivity of PCR tests. Evidence suggests with some degree of confidence that mandatory confinement could be safely lifted as of August 30, 2020. Long-term preparations must be made to contain future waves of new cases. Twit Text FOAVip Prediccion del fin del confinamiento despues del maximo de casos en la primera ola de la pandemia COVID-19 en Chile ????Medwave http://www.kidney.de/pget.php?&tw=1&pmid=33231573 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33231573 #FOAvip English Wikipedia <ref>{{Cite pmid|33231573}}</ref> Prediccion del fin del confinamiento despues del maximo de casos en la primera ola de la pandemia COVID-19 en Chile #MMPMID33231573 San Martin-Roldan D; Rojo-Lazo F; Calzadilla-Nunez A; San Martin-Roldan P; Diaz-Calzadilla P; Diaz-Narvaez VP Medwave 2020[Nov]; 20 (10): e8057 PMID33231573show ga INTRODUCTION: The results of mandatory confinement have been detrimental in several respects. Nonetheless, they have resulted in reducing the number of active cases of COVID-19. Chile has begun the de-escalation and needs to know the best time to end the restrictions. OBJECTIVE: We discuss the best conditions and guarantees for the end of compulsory confinement. METHODS: This study is based on a trend model with prediction estimation. The data of the variables of interest were subjected to linear regression studies to determine the curve that best explained the data. The coefficient of determination, the standard deviation of y in x, and the confidence interval of the observed curve were estimated. The trend curve was chosen in accordance with the regression estimates. OUTCOMES: It was found that all dependent variables tended to decrease over time in a quadratic fashion, except for the new cases variable. In general, the R2 and MAPE estimates are satisfactory, except for the variable number of PCR tests per day. CONCLUSIONS: Gradual and cautious steps should be taken before ending mandatory confinement. In the current de-escalator, daily PCR tests should be increased, maintaining vigilance on indicators of incidence, prevalence, and positivity of PCR tests. Evidence suggests with some degree of confidence that mandatory confinement could be safely lifted as of August 30, 2020. Long-term preparations must be made to contain future waves of new cases. |*Pandemics[MESH] |*Quarantine/trends[MESH] |*SARS-CoV-2[MESH] |COVID-19/*epidemiology/*prevention & control[MESH] |Chile/epidemiology[MESH] |Confidence Intervals[MESH] |Humans[MESH] |Incidence[MESH] |Linear Models[MESH] |Prevalence[MESH]Prediccion del fin del confinamiento despues del maximo de casos en la(epmc).pdf DeepDyve Pubget Overpricing