Selected article for: "infection rate and regression model"

Author: Yohannes Kinfu; Uzma Alam; Tom Achoki
Title: COVID-19 pandemic in the African continent: forecasts of cumulative cases, new infections, and mortality
  • Document date: 2020_4_14
  • ID: atee6lis_6
    Snippet: Here, Y represents the number of confirmed cases of COVD-19 for each country as of March 31, 2020. K is the rate of infection between week 1 and week 2 of the epidemic in the country and is an endogenous variable. T and X represent a set of instrumental and exogenous variables, respectively. u i and z i are error terms and both are assumed to have a zero mean and a nonzero-correlation. (18) (19) (20) δ , θ , α , β are regression coefficients .....
    Document: Here, Y represents the number of confirmed cases of COVD-19 for each country as of March 31, 2020. K is the rate of infection between week 1 and week 2 of the epidemic in the country and is an endogenous variable. T and X represent a set of instrumental and exogenous variables, respectively. u i and z i are error terms and both are assumed to have a zero mean and a nonzero-correlation. (18) (19) (20) δ , θ , α , β are regression coefficients to be estimated from the model.

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