Selected article for: "infectious latent period and SEIR model"
Author: Rajan Gupta; Gaurav Pandey; Poonam Chaudhary; Saibal Kumar Pal
Title: SEIR and Regression Model based COVID-19 outbreak predictions in India
  • Document date: 2020_4_3
    • ID: hf0jtfmx_20
    Snippet: 1. Number of births and deaths remain same 2. 1/ is latent period of disease &1/ is infectious period 3. Recovered person was not sick again during the calculation period Now, considering 70% of India's population to be approximately 966 million in susceptible class (S) and assuming only 1 person got infected in the initial part with average incubation period of 5.2, average infectious period of 2.9 and R 0 equal to 4, the SEIR model without inte.....
    Document: 1. Number of births and deaths remain same 2. 1/ is latent period of disease &1/ is infectious period 3. Recovered person was not sick again during the calculation period Now, considering 70% of India's population to be approximately 966 million in susceptible class (S) and assuming only 1 person got infected in the initial part with average incubation period of 5.2, average infectious period of 2.9 and R 0 equal to 4, the SEIR model without intervention is shown in Figure 3 with the assumptions mentioned above. In Figure 3 , we can examine that the number of susceptible population decreases by 80% in first 100 days as per the listed assumptions. The algorithm for SEIR model is shown as follows.

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