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Descriptive Analysis of Pakistan’s COVID Data

Descriptive Analysis of Pakistan’s COVID Data

Mian Ibad Ali Shah*, Yasir Saleem Afridi and Laiq Hasan

Department of Computer Systems Engineering, University of Engineering and Technology, Peshawar, Khyber Pakhtunkhwa, Pakistan.

*Correspondence: Mian Ibad Ali Shah, Department of Computer Systems Engineering, University of Engineering and Technology, Peshawar, Khyber Pakhtunkhwa, Pakistan; Email: mianibad@outlook.com 

ABSTRACT

Strategic information was requested to understand the novel coronavirus using a global call. In response to but not limited to the call and extending the work to similar global pandemics, this work has been conducted on a dataset acquired from Pakistan’s COVID data. Analysis of the statistics and trends has been carried out and recommendations regarding the precautionary measures and implementation of controlling techniques for new cases using controllable factors have been provided. The results have been achieved using descriptive analysis of the time-series data. The goal was to check the effect of various parameters (like new tests, government implemented lockdown index, etc.) on the new/ active COVID-19 cases, so policies can be devised accordingly to control the spread of the disease. The data was first converted into summary numbers, followed by carrying out the statistical analysis that yielded meaningful results. Descriptive analysis in particular performs best to achieve this strategy. Descriptive analysis comprising of various methods and factors have been used to infer conclusions from data. Some important factors like, stringency index, number of tests, etc. have been utilized in this paper to achieve the aforementioned goals. 
 

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Pakistan Journal of Zoology

October

Vol. 53, Iss. 5, Pages 1603-2000

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