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10.1038/s41598-021-89573-x http://scihub22266oqcxt.onion/10.1038/s41598-021-89573-x 33980969!8115614!33980969     free     free     free 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 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 10075 Nephropedia Template TP {{tp|p=33980969|t=2021. Prediction of daily and cumulative cases for COVID-19 infection based on reproductive number (R(0)) in Karnataka: a data-driven analytics |pdf=|usr=}}{{33980969}} gab.com Text Prediction of daily and cumulative cases for COVID-19 infection based on reproductive number (R(0)) in Karnataka: a data-driven analytics JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33980969 #FOAvip To estimate the reproductive number (R(0)) of the coronavirus in the present scenario and to predict the incidence of daily and probable cumulative cases, by 20 August, 2020 for Karnataka state in India. The model used serial interval with a gamma distribution and applied 'early R' to estimate the R(0) and 'projections' package in R program. This was performed to mimic the probable cumulative epidemic trajectories and predict future daily incidence by fitting the data to existing daily incidence and the estimated R(0) by a model based on the assumption that daily incidence follows Poisson distribution. The maximum-likelihood (ML) value of R(0) was 2.242 for COVID-19 outbreak, as on June 2020. The median with 95% CI of R(0) values was 2.242 (1.50-3.00) estimated by bootstrap resampling method. The expected number of new cases for the next 60 days would progressively increase, and the estimated cumulative cases would reach 27,238 (26,008-28,467) at the end of 60th day in the future. But, if R(0) value was doubled the estimated total number of cumulative cases would increase up to 432,411 (400,929-463,893) and if, R(0) increase by 50%, the cases would increase up to 86,386 (80,910-91,861). The probable outbreak size and future daily cumulative incidence are largely dependent on the change in R(0) values. Hence, it is vital to expedite the hospital provisions, medical facility enhancement work, and number of random tests for COVID-19 at a very rapid pace to prepare the state for exponential growth in next 2 months. Twit Text FOAVip Prediction of daily and cumulative cases for COVID-19 infection based on reproductive number (R(0)) in Karnataka: a data-driven analytics ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33980969 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33980969 #FOAvip English Wikipedia <ref>{{Cite pmid|33980969}}</ref> Prediction of daily and cumulative cases for COVID-19 infection based on reproductive number (R(0)) in Karnataka: a data-driven analytics #MMPMID33980969 Suresh KP; Patil SS; Thyagaraju BPC; Ramkrishnappa SG; Hemadri D; Chandrashekara S Sci Rep 2021[May]; 11 (1): 10075 PMID33980969show ga To estimate the reproductive number (R(0)) of the coronavirus in the present scenario and to predict the incidence of daily and probable cumulative cases, by 20 August, 2020 for Karnataka state in India. The model used serial interval with a gamma distribution and applied 'early R' to estimate the R(0) and 'projections' package in R program. This was performed to mimic the probable cumulative epidemic trajectories and predict future daily incidence by fitting the data to existing daily incidence and the estimated R(0) by a model based on the assumption that daily incidence follows Poisson distribution. The maximum-likelihood (ML) value of R(0) was 2.242 for COVID-19 outbreak, as on June 2020. The median with 95% CI of R(0) values was 2.242 (1.50-3.00) estimated by bootstrap resampling method. The expected number of new cases for the next 60 days would progressively increase, and the estimated cumulative cases would reach 27,238 (26,008-28,467) at the end of 60th day in the future. But, if R(0) value was doubled the estimated total number of cumulative cases would increase up to 432,411 (400,929-463,893) and if, R(0) increase by 50%, the cases would increase up to 86,386 (80,910-91,861). The probable outbreak size and future daily cumulative incidence are largely dependent on the change in R(0) values. Hence, it is vital to expedite the hospital provisions, medical facility enhancement work, and number of random tests for COVID-19 at a very rapid pace to prepare the state for exponential growth in next 2 months. |Basic Reproduction Number[MESH] |COVID-19/diagnosis/*epidemiology[MESH] |Humans[MESH] |Incidence[MESH] |India/epidemiology[MESH] |Probability[MESH] |Prognosis[MESH]Prediction of daily and cumulative cases for COVID-19 infection based (epmc).pdf DeepDyve Pubget Overpricing