• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Sci Afr . Situation assessment and natural dynamics of COVID-19 pandemic in Nigeria, 31 May 2020

tetano

Editor, Senior Moderator
Sci Afr


. 2021 Jul;12:e00844.
doi: 10.1016/j.sciaf.2021.e00844. Epub 2021 Jul 12.
Situation assessment and natural dynamics of COVID-19 pandemic in Nigeria, 31 May 2020


Ayo Stephen Adebowale[SUP] 1 [/SUP], Adeniyi Francis Fagbamigbe[SUP] 1 [/SUP], Joshua Odunayo Akinyemi[SUP] 1 [/SUP], Kazeem Olalekan Obisesan[SUP] 2 [/SUP], Emmanuel Jolaoluwa Awosanya[SUP] 3 [/SUP], Rotimi Felix Afolabi[SUP] 1 4 [/SUP], Selim Adewale Alarape[SUP] 3 [/SUP], Sunday Olawale Obabiyi[SUP] 5 [/SUP]



Affiliations

Abstract

Background: The coronavirus disease (COVID-19) remains a global public health issue due to its high transmission and case fatality rate. There is apprehension on how to curb the spread and mitigate the socio-economic impacts of the pandemic, but timely and reliable daily confirmed cases' estimates are pertinent to the pandemic's containment. This study therefore conducted a situation assessment and applied simple predictive models to explore COVID-19 progression in Nigeria as at 31 May 2020.
Methods: Data used for this study were extracted from the websites of the European Centre for Disease Control (World Bank data) and Nigeria Centre for Disease Control. Besides descriptive statistics, four predictive models were fitted to investigate the pandemic natural dynamics.
Results: The case fatality rate of COVID-19 was 2.8%. A higher number of confirmed cases of COVID-19 was reported daily after the relaxation of lockdown than before and during lockdown. Of the 36 states in Nigeria, including the Federal Capital Territory, 35 have been affected with COVID-19. Most active cases were in Lagos (n = 4064; 59.2%), followed by Kano (n = 669; 9.2%). The percentage of COVID-19 recovery in Nigeria (29.5%) was lower compared to South Africa (50.3%), but higher compared to Kenya (24.1%). The cubic polynomial model had the best fit. The projected value for COVID-19 cumulative cases for 30 June 2020 in Nigeria was 27,993 (95% C.I: 27,001-28,986).
Conclusion: The daily confirmed cases of COVID-19 are increasing in Nigeria. Increasing testing capacity for the disease may further reveal more confirmed cases. As observed in this study, the cubic polynomial model currently offers a better prediction of the future COVID-19 cases in Nigeria.

Keywords: COVID-19; Growth curve, polynomial model; Nigeria; Simple mathematical model.
 
Back
Top Bottom