Selected article for: "cumulative number and model predict"

Author: Rajesh Ranjan
Title: Estimating the Final Epidemic Size for COVID-19 Outbreak using Improved Epidemiological Models
  • Document date: 2020_4_16
  • ID: emyuny1a_25
    Snippet: Where C 0 is constant that can be obtained by fitting the curve with the available data. In this model, C is taken as the cumulative number of diagnoses (including individuals who have recovered(R) or deceased(D). This model can successfully predict the early stages of the epidemic such as between t −1 and t 0 (and sometimes up to t 1 ) in Fig. 3 . The results from this model are not included in this study. Ranjan [3] has discussed this model f.....
    Document: Where C 0 is constant that can be obtained by fitting the curve with the available data. In this model, C is taken as the cumulative number of diagnoses (including individuals who have recovered(R) or deceased(D). This model can successfully predict the early stages of the epidemic such as between t −1 and t 0 (and sometimes up to t 1 ) in Fig. 3 . The results from this model are not included in this study. Ranjan [3] has discussed this model for prediction of early stages in COVID-19 epidemic in India.

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