Selected article for: "infected people and predicted number"

Author: Arsath Abbasali Ayubali; Sara Roshini Satheesh
Title: On predicting the novel COVID-19 human infections by using Infectious Disease modelling method in the Indian State of Tamil Nadu during 2020
  • Document date: 2020_4_7
  • ID: 660ul4fb_56
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https: //doi.org/10.1101 //doi.org/10. /2020 is, February 29, 2020. It can be seen from Figure 1 that the epidemic situation starts to concentrate in about 90 days. It can be seen that the number of infected people will reach its peak in about 120 days. Secondly, while considering the second case of prediction in the case of enacted governmental policies like quarantine.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https: //doi.org/10.1101 //doi.org/10. /2020 is, February 29, 2020. It can be seen from Figure 1 that the epidemic situation starts to concentrate in about 90 days. It can be seen that the number of infected people will reach its peak in about 120 days. Secondly, while considering the second case of prediction in the case of enacted governmental policies like quarantine precautions, hand sanitizing, social distancing and avoiding the crowd in public places, the Figure. 2 shows the predicted results. From the predicted results, it is obvious that, the number of infected people may reach 13, 24 and 470 only in 220 days and will eventually come to an end after 250 days from the period of initial consideration.

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