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Dynamics of COVID-19 in Nigeria; Prevention of Likely Third Wave of the Deadly Pandemics

The rate through which the newly discovered coronavirus otherwise referred to as covid-19 is spreading seems to be very alarming and therefore calls for immediate and proper attention in order to forestall ugly occurrences and experience of deteriorate in the health of the majority of people in the country. Of recent, reports are showing that the impact of the third wave is already showing in some vulnerable places. The rate of the spread of this deadly and threatening pandemic in almost every nook and cranny of the country, most especially the highly populated cities and towns, seems to be spontaneous and exponential sort of. Hence, as a result, decisive measures and provision need to be put in place so as to not to make the situation more disastrous. From observations so far, it was gathered that the numbers recorded during week days is relatively far more when compared with the number of occurrence during weekends such as Fridays as well as Saturdays. Hence this observations calls for immediate attention. This work considers the sudden numerical growths in the actual number of the casualties (otherwise called the first and the second waves) which occur intermittently, the statistical implications and recommendations for a better and saver live for the populace.

COVID-19, Dynamics, Chaos, Pandemics, Mental Health, Transmission, Prevention

APA Style

Adebisi Sunday Adesina. (2021). Dynamics of COVID-19 in Nigeria; Prevention of Likely Third Wave of the Deadly Pandemics. International Journal of Discrete Mathematics, 6(1), 1-4. https://doi.org/10.11648/j.dmath.20210601.11

ACS Style

Adebisi Sunday Adesina. Dynamics of COVID-19 in Nigeria; Prevention of Likely Third Wave of the Deadly Pandemics. Int. J. Discrete Math. 2021, 6(1), 1-4. doi: 10.11648/j.dmath.20210601.11

AMA Style

Adebisi Sunday Adesina. Dynamics of COVID-19 in Nigeria; Prevention of Likely Third Wave of the Deadly Pandemics. Int J Discrete Math. 2021;6(1):1-4. doi: 10.11648/j.dmath.20210601.11

Copyright © 2021 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. I. Ahmad and F. A. Rathore, Neurological Manifestations and Complications of COVID-19: A Literature Review. Preprints 2020.
2. V. Clemente, P. D’Arcy and M. Bazzaro, Deubiquitinating Enzymes in Coronaviruses and Possible Therapeutic Opportunities for COVID-19. Int. J. of. Mol. Sci. 2020, 21, 1-17.
3. S. K. Reddy, S. Mazhar and R. Lencucha, The financial sustainability of the World Health Organization and the political economy of global health governance: a review of funding proposals. Glob. And Health. 2018, 14, Article number 119.
4. Y. Liu, A. A. Gayle, A. Wilder-Smith and J. Rocklöv, The reproductive number of COVID-19 is higher compared to SARS coronavirus. Int. Soc. of Tra. Med. 2020, 1-4.
5. R. Piyush, K. Rajarshi, R. Khan andS. Ray, Convalescent plasma therapy: a promising coronavirus disease 2019 treatment strategy. Open Biol. 2020; 10 (9): 200174. doi: 10.1098/rsob.200174.
6. M. P. Lythgoe and P. Middelton, Ongoing Clinical Trials for the Management of the COVID-19 Pandemic. Trends Pharmacol Sci 2020, 41, 363-382.
7. E. Wehling, Framing-Manual. Unser gemeinsamer, freierRundfunk ARD. University of California, Berkley, USA, 2019, Page 1-89.
8. A. D. Koon, B. Hawkins and S. H. Mayhew, Framing and the health policy process: a scoping review. Health Pol. And Pl. 2016, 31, 801-816.
9. J. A. Krosnick and B. MacInnis, Frequent Viewers of Fox News Are Less Likely to Accept Scientists' Views of Global Warming. Wo. Inst. for the Env. at Stan. Uni. 2010, 1-12.
10. Z. G. Li, Z. Zheng, S. Qiu, J. Luo, C. Ye, S. Zhu and N. Zhong, Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020, 30, 1708-1720.
11. Protective and Environmental Measures. Emerging Infectious Diseases, 26 (5), 967-975. https://dx.doi.org/10.3201/eid2605.190994.
12. World Health Organization. Laboratory testing for 2019 novel coronavirus (2019-nCoV) in suspected human cases, Interim guidance, 17 January 2020. Int. Guid. 2020, 1-7.
13. Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19) – United States, February 12 – March 16, 2020. https://www.cdc.gov/mmwr/volumes/69/wr/mm6912e2.htm.
14. Provisional Death counts for Coronavirus Disease (COVID-19): https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm.
15. U.S. Influenza Surveillance System: Purpose and Methods. https://www.cdc.gov/flu/weekly/overview.htm#Hospitalization.
16. The COVID Tracking Project. US Historical Data. https://covidtracking.com/data/us-daily.
17. COVID Surg Collaborative. Elective surgery cancellations due to the COVID-19 pandemic: global predictive modelling to inform surgical recovery plans. Wil. Onl. Libr. 2020, 1-10.
18. https://www.hygeiahmo.com/fight-against-covid-19/.
19. (https://COVID19.ncdc.gov.ng/contact/).
20. https://ncdc.gov.ng/news/276/end-of-year-travel-advisory-on-covid-19.
21. https://nitp.ncdc.gov.ng/onboarding/guidelines.