Author: TONI MONLEON-GETINO; Jaume Canela-Soler
Title: Next weeks of SARS-CoV-2: Projection model to predict time evolution scenarios of accumulated cases in Spain Document date: 2020_4_14
ID: 9h4pq7up_10
Snippet: This projection offered by function is based on a consistent statistical growth model, used previously in biology [4, 5, 6] and can allow authorities and epidemiologists to predict cases and take measures of them, as well as to know the approximate dates for the best and worst scenarios. This method is based on the extrapolation rarefaction curve using a Weibull growth model [4, 5] to estimate the maximum number of accumulated cases of coronaviru.....
Document: This projection offered by function is based on a consistent statistical growth model, used previously in biology [4, 5, 6] and can allow authorities and epidemiologists to predict cases and take measures of them, as well as to know the approximate dates for the best and worst scenarios. This method is based on the extrapolation rarefaction curve using a Weibull growth model [4, 5] to estimate the maximum number of accumulated cases of coronavirus as a function of time (days) using numerical methods for non linear models. This approach allows us to compute the effort at different confidence intervals and to obtain an approximate time interval of when the disease will slow its speed in terms of the number of cases accumulated. This would also be possible for the number of new affected and for cases in which patients recover.
Search related documents:
Co phrase search for related documents- case number and day time: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
- case number and growth model: 1, 2, 3, 4, 5
- case number and maximum number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26
- case number and new affect: 1
- case number and non linear model: 1, 2, 3
- case number and numerical method: 1, 2, 3
- case number and time interval: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
- case predict and confidence interval: 1, 2
- case predict and day time: 1
- case predict and growth model: 1, 2
- confidence interval and day time: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44
- confidence interval and different confidence interval: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22
- confidence interval and growth model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
- confidence interval and maximum number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
- confidence interval and new affect: 1
- confidence interval and non linear model: 1, 2, 3, 4, 5
- confidence interval and patient recover: 1
- confidence interval and statistical growth model: 1
- confidence interval and time interval: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73
Co phrase search for related documents, hyperlinks ordered by date