Author: Bimandra A Djaafara; Natsuko Imai; Esther Hamblion; Benido Impouma; Christl A Donnelly; Anne Cori
Title: A quantitative framework to define the end of an outbreak: application to Ebola Virus Disease Document date: 2020_2_20
ID: nnkholfe_26
Snippet: where is the total number of undetected cases obtained by the inverse binomial problem, 1 , ⋯ , are the number of undetected cases on day ( = 1, 2, ⋯ , ) after the onset of the last detected case, and 1 , ⋯ , are the probabilities of the undetected cases appearing on day ( = 1, 2, ⋯ , ). 1 , ⋯ , were calculated by dividing the total infectiousness on each day by the total infectiousness during the whole days period:.....
Document: where is the total number of undetected cases obtained by the inverse binomial problem, 1 , ⋯ , are the number of undetected cases on day ( = 1, 2, ⋯ , ) after the onset of the last detected case, and 1 , ⋯ , are the probabilities of the undetected cases appearing on day ( = 1, 2, ⋯ , ). 1 , ⋯ , were calculated by dividing the total infectiousness on each day by the total infectiousness during the whole days period:
Search related documents:
Co phrase search for related documents- binomial problem and inverse binomial problem: 1, 2
- binomial problem and total number: 1, 2
- day appear and total number: 1, 2
- day period and inverse binomial problem: 1
- day period and total infectiousness: 1
- day period and total 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
- day undetected case and total number: 1
- day undetected case and undetected case: 1
- detect case and total number: 1, 2, 3, 4, 5
- inverse binomial problem and total number: 1, 2
Co phrase search for related documents, hyperlinks ordered by date