Anam, Mamoona and Setiawan, Roy and Chinnappan, Sathiya Kumar and Hashim,, Nik Alif Amri Nik and Mehbodniya, Abolfazl and Bhargava, Cherry and Sharma, Pardeep Kumar and Phasinam, Khongdet and Subramaniyaswamy, V. and Sengan, Sudhakar (2022) Analyzing the Impact of Lockdown in Controlling COVID-19 Spread and Future Prediction. [UNSPECIFIED]
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Abstract
COVID-19 outbreaks are the critical challenge to the administrative units of all worldwide nations.
India is also more concerned about monitoring the virus’s spread to control its growth rate by
stringent behaviour. The present COVID-19 situation has huge impact in India, and the results of
various preventive measures are discussed in this paper. This research presents different trends and
patterns of data sources of States that suffered from the second wave of COVID-19 in India until
3rd July 2021. The data sources were collected from the Indian Ministry of Health and Family
Welfare. This work reacts particularly to many research activities to discover the lockdown effects to
control the virus through traditional methods to recover and safeguard the pandemic. The second
wave caused more losses in the economy than the first wave and increased the death rate. To avoid
this, various methods were developed to find infected cases during the regulated national lockdown,
but the infected cases still harmed unregulated incidents. The COVID-19 forecasts were made on
3rd July 2021, using exponential simulation. This paper deals with the methods to control the second
wave giving various analyses reports showing the impact of lockdown effects. This highly helps to
safeguard from the spread of the future pandemic.
| Item Type: | UNSPECIFIED |
|---|---|
| Uncontrolled Keywords: | COVID; coronavirus; India; prediction; lockdown impact |
| Subjects: | T Technology H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
| Divisions: | Faculty of Economic > Business Management Program |
| Depositing User: | Admin |
| Date Deposited: | 15 Sep 2022 05:11 |
| Last Modified: | 27 Dec 2022 10:15 |
| URI: | https://repository.petra.ac.id/id/eprint/19817 |
