Browse > Article
http://dx.doi.org/10.22937/IJCSNS.2022.22.4.6

Analyzing the Impact of Lockdown on COVID-19 Pandemic in Saudi Arabia  

Gyani, Jayadev (Department of Computer Science, College of Computer and Information Sciences, Majmaah University)
Haq, Mohd Anul (Department of Computer Science, College of Computer and Information Sciences, Majmaah University)
Ahmed, Ahsan (Department of Information Technology, College of Computer and Information Sciences, Majmaah University)
Publication Information
International Journal of Computer Science & Network Security / v.22, no.4, 2022 , pp. 39-46 More about this Journal
Abstract
The spread of Omicron, a mutated version of COVID-19 across several countries is leading to the discussion of lockdown once again for curbing the spread of the new virus. In this context, this research is showing the impact of lockdown for the successful control of the COVID-19 pandemic in Saudi Arabia. The outbreak of the COVID-19 pandemic around the globe has affected Saudi Arabia with around 2,37,803 confirmed cases within the initial 4 months of transmission. Saudi Arabia has announced a 21-day lockdown from March 23, 2020, to reduce the transmission of the COVID-19 pandemic. Machine Learning-based, Multinomial logistic regression was applied to understand the relationship between daily COVID-19 confirmed cases and lockdown in the 17 most-affected cities of KSA. We used secondary published data from the Ministry of Health, KSA daily dataset of COVID-19 confirmed case counts. These 17 cities were categorized into 4 classes based on lockdown dates. A total of three scenarios such as night lockdown, full lockdown, and no lockdown have been analyzed with the total number of confirmed cases with 4 classes. 15 out of 17 cities have shown a strong correlation with a confidence interval of 95%. These findings provide evidence that the COVID-19 pandemic may be partially suppressed with lockdown measures.
Keywords
Omicron; Correlation; Covid-19; Machine Learning; Multinomial Logistic Model; Lockdown;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 W. Jan, L. Mohr,A. S. Tenforde, P. Eduouard, Ch. Fossati et al., "A pandemic within the pandemic? Physical activity levels have substantially decreased in countries affected by COVID-19", 2020. [Online] Available: http://dx.doi.org/10.2139/ssrn.3605343   DOI
2 A. Wnuk, T. Oleksy and D. Maison, "The acceptance of covid-19 tracking technologies: The role of perceived threat, lack of control, and ideological beliefs," PLoS One, vol. 15, no. 9, pp. e0238973, 2020.   DOI
3 L. Bourouiba, "Turbulent gas clouds and respiratory pathogen emissions: Potential implications for reducing transmission of covid-19," JAMA, vol. 323, no. 18, pp. 1837-1838, 2020.
4 M. Begum, M. S. Farid, S. Barua and M. J. Alam, "Covid-19 and Bangladesh: Socio-economic analysis towards the future correspondence," Asian Journal of Agricultural Extension, Economics & Sociology, pp. 143-155, 2020. [Online] https//doi.org/10.20944/preprints202004.0458.v1   DOI
5 L. Roques, E. K. Klein, J. Papaix, A. Sar and S. Soubeyrand, "Impact of lockdown on the epidemic dynamics of COVID- 19 in France", Frontiers in Medicine, vol. 7, no. 274, 2020. [Online] Available: http://doi.org/10.3389/fmed.2020.00274   DOI
6 S. A. Al-Awadhi and M. A. Ahmed, "Logistic models and a Markovian analysis for student attrition", Kuwait Journal of Science and Engineering, vol. 29, no. 2, pp. 25-40,2002
7 UNESCO COVID-19 RESPONSE. [Online] Available: https://en.unesco.org/covid19/
8 J. Yun, M. Basak and M. Han., "Bayesian rule modeling for interpretable mortality classification of COVID-19 patients", CMC-Computers, Materials & Continua, vol. 69, no.3, pp. 2827-2843,2021   DOI
9 Ministry of Health,Saudi Arbia C0VID-19 cases daily update, https://covid19.moh.gov.sa/
10 A. A. Algaissi, N. K. Alharbi, M. Hassanain and A. M. Hashem, "Preparedness and response to COVID-19 in Saudi Arabia: Building on MERS experience", Journal of Infection and Public Health, vol. 13, no. 6, pp. 834-838, 2020   DOI
11 I. Mamud and A. Al-Mohaimeed, "COVID-19: Utilizing local experience to suggest optimal global strategies to prevent and control the pandemic", Int J Health Sci (Qassim), vol. 14, pp.1-3,2020
12 D. Ibarra-Vega, "Lockdown, one, two, none, or smart modeling containing COVID-19 infection. A conceptual model", Science of The Total Environment, vol. 730, 138917, 2020   DOI
13 A. Ayoub, K. Mahboob, A. R. Javed, M. Rizwan, T. R. Gadekallu et al., "Classification and categorization of COVID-19 outbreak in Pakistan," Computers, Materials & Continua, vol. 69, no.1, pp. 1253-1269, 2021   DOI
14 Ch. Nalini, B. Gopi and A. Francesco,"COVID-19 virus outbreak forecasting of registered and recovered cases after sixty day lockdown in Italy: A data driven model approach", Journal of Microbiology, Immunology and Infection, vol. 53, no. 3, 2020
15 Li K, Foutz NZ, Cai Y, Liang Y, Gao S, "Impacts of COVID-19 lockdowns and stimulus payments on lowincome population's spending in the United States", PLoS One, vol. 16, no. 9, 2021
16 B. G. Ali, T. Announce and G. Amr, "The day after tomorrow: Cardiac surgery post-covid-19," Authorea Preprints, 2020. [Online] https//doi.org/10.22541/au.159284828.87817861   DOI
17 K. B. Mitchell and S. R. Weinstein, "Concerns regarding the article entitled asafe handling of containers of expressed human milk in all settings during the sars-cov-2 (covid-19)," Journal of Human Lactation, vol. 36, no. 3, pp. 542, 2020.   DOI
18 A. Attaallah, S. Khatri, M. Nadeem, S. Anas Ansar, A. K. Pandey et al., "Prediction of covid-19 pandemic spread in Kingdom of Saudi Arabia," Computer Systems Science and Engineering, vol. 37, no.3, pp. 313-329, 2021   DOI
19 J. M. Read, J. R. Bridgen, D. A. Cummings, A. Ho and C. P. Jewell, "Novel coronavirus 2019- ncov: Early estimation of epidemiological parameters and epidemic predictions," MedRxiv, 2020. [Online] https://doi.org/10.1101/2020.01.23.20018549   DOI
20 A. Tobias, "Evaluation of the lockdowns for the SARSCoV-2 epidemic in Italy and Spain after one month follow up", Science of The Total Environment, vol.725, 138539, 2020   DOI
21 B. Ambikapathy and K. Krishnamurthy, "Mathematical modelling to assess the impact of lockdown on COVID-19 transmission in India: Model development and validation", JMIR Public Health Surveill, vol. 6, no. 2: e19368,2020   DOI