Author: Naomie Salim; Weng Howe Chan; Shuhaimi Mansor; Nor Erne Nazira Bazin; Safiya Amaran; Ahmad Athif Mohd Faudzi; Anazida Zainal; Sharin Hazlin Huspi; Eric Jiun Hooi Khoo; Shaekh Mohammad Shithil
Title: COVID-19 epidemic in Malaysia: Impact of lock-down on infection dynamics Document date: 2020_4_11
ID: 652vzlq6_22
Snippet: The first initiative is to study the current trends in order to predict the rate of growth and number of cases on the 15 th of April. Plotting of the actual cases of COVID-19 daily from 22 nd January until 1nd April is shown in Figure 1 . The plot shows the rate of growth of total cases and recovered cases. To understand the overall scenario of the trends, the active cases (i.e., total cases minus recovered cases), new cases, recovered cases and .....
Document: The first initiative is to study the current trends in order to predict the rate of growth and number of cases on the 15 th of April. Plotting of the actual cases of COVID-19 daily from 22 nd January until 1nd April is shown in Figure 1 . The plot shows the rate of growth of total cases and recovered cases. To understand the overall scenario of the trends, the active cases (i.e., total cases minus recovered cases), new cases, recovered cases and death cases are plotted together. The increase rate of total cases is around 125 cases per day. where C and d represents total cases and days respectively. The number of total cases by 15 th April 2020 is calculated by substituting number of days in Eq.1. The dotted line in Figure 2 shows the projection of total cases and it is estimated 5,637 of total cases in 85 days (i.e., number of days from 22 nd Jan to 15 April). Figure 2 shows the peak of total cases may happen in mid of April. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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