Selected article for: "actual situation and lower bound"
Author: Muhammad Qasim; Waqas Ahmad; Shenghuan Zhang; Muhammad Yasir; Muhammad Azhar
Title: Data model to predict prevalence of COVID-19 in Pakistan
  • Document date: 2020_4_10
    • ID: h4b28cq0_23
    Snippet: When, − ≤ 0, is the expected number of days at which the whole population will be impacted. The proposed model is different from standard normal distribution as it continuously trains itself from the existing data to estimate the future state. Therefore, it can apply for future real time data. We use = : ζ in Eq. [4] to find the lower bound on the estimated number of patients. The convergence of lower bound remains very close to the actual d.....
    Document: When, − ≤ 0, is the expected number of days at which the whole population will be impacted. The proposed model is different from standard normal distribution as it continuously trains itself from the existing data to estimate the future state. Therefore, it can apply for future real time data. We use = : ζ in Eq. [4] to find the lower bound on the estimated number of patients. The convergence of lower bound remains very close to the actual data set until the same situation prevails and subjected to change with new precautionary measures to contain pandemic. Our models curves for COVID-19 prevalence and their future trend based on real time data, when new data will come it will further validate our model. If Pakistan does not act on complete lockdown and

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