Accès ouvert déclaré 2022 article

COVID-19 mortality rate and its associated factors during the first and second waves in Nigeria

Kelly Elimian, Anwar Musah, Carina J. King, Ehimario Uche Igumbor, Puja R Myles, Olaolu Moses Aderinola, Cyril Oshomah Erameh, William Nwanchukwu, Oluwatosin Wuraola Akande, Nicaise Ndembi, Oladipo Olanrewaju Ogunbode, Abiodun Jumoke Egwuenu, Emily E. Crawford, Giulia Gaudenzi, Ismail Adeshina Abdus-Salam, Olubunmi Omowunmi Olopha, Yahya Disu, Abimbola Bowale, Cyprian E. Oshoma, Cornelius Ohonsi, Chinedu Chukwujekwu Arinze, Sikiru Olanrewaju Badaru, Blessing Itohan Ebhodaghe, Zaiyad Garba Habib, Michael Olugbile, Chioma Dan-Nwafor, Jafiya Abubakar, Pembi Emmanuel, Lauryn Dunkwu, Ifeanyi Franklin Ike, Ekaete Alice Tobin, Bamidele Paul Mutiu, Rejoice Kudirat Luka-Lawal, Obinna Nwafor, Mildred Okowa, Chidiebere Ezeokafor, Emem Iwara, Sebastian Yennan, Sunday Obiajunwa Eziechina, David Idowu Olatunji, Lanre Falodun, Emmanuel Joseph, Ifeanyi Abali, Tarik Benjamin Mohammed, Benjamin Yiga, Khadeejah Kamaldeen, Emmanuel Agogo, Nwando Mba, John Oladejo, Elsie A. Ilori, Olusola Aruna, Geoffrey Namara, Stephen Obaro, Khadeejah Liman Hamza, Michael Chiemeli Asuzu, Shaibu Oricha Bello, Friday Ebhodaghe Okonofua, Yusuf Deeni, Ibrahim Abubakar, Tobias Alfvén, Chinwe Lucia Ochu, Chikwe A Ihekweazu

12Citations signalées, ce qui n’est pas une note de qualité

21Institutions déclarées

5Pays d’affiliation déclarés

Rattachement africain : se, Nigéria, gb, Éthiopie, us. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

COVID-19 mortality rate has not been formally assessed in Nigeria. Thus, we aimed to address this gap and identify associated mortality risk factors during the first and second waves in Nigeria. This was a retrospective analysis of national surveillance data from all 37 States in Nigeria between February 27, 2020, and April 3, 2021. The outcome variable was mortality amongst persons who tested positive for SARS-CoV-2 by Reverse-Transcriptase Polymerase Chain Reaction. Incidence rates of COVID-19 mortality was calculated by dividing the number of deaths by total person-time (in days) contributed by the entire study population and presented per 100,000 person-days with 95% Confidence Intervals (95% CI). Adjusted negative binomial regression was used to identify factors associated with COVID-19 mortality. Findings are presented as adjusted Incidence Rate Ratios (aIRR) with 95% CI. The first wave included 65,790 COVID-19 patients, of whom 994 (1∙51%) died; the second wave included 91,089 patients, of whom 513 (0∙56%) died. The incidence rate of COVID-19 mortality was higher in the first wave [54∙25 (95% CI: 50∙98-57∙73)] than in the second wave [19∙19 (17∙60-20∙93)]. Factors independently associated with increased risk of COVID-19 mortality in both waves were: age ≥45 years, male gender [first wave aIRR 1∙65 (1∙35-2∙02) and second wave 1∙52 (1∙11-2∙06)], being symptomatic [aIRR 3∙17 (2∙59-3∙89) and 3∙04 (2∙20-4∙21)], and being hospitalised [aIRR 4∙19 (3∙26-5∙39) and 7∙84 (4∙90-12∙54)]. Relative to South-West, residency in the South-South and North-West was associated with an increased risk of COVID-19 mortality in both waves. In conclusion, the rate of COVID-19 mortality in Nigeria was higher in the first wave than in the second wave, suggesting an improvement in public health response and clinical care in the second wave. However, this needs to be interpreted with caution given the inherent limitations of the country's surveillance system during the study.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref: COVID-19 mortality rate and its associated factors during the first and second waves in Nigeria
Date Crossref: 09/06/2022
Éditeur: Public Library of Science (PLoS)
Type: journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Où se fait cette recherche

Karolinska Institutet Department of Global Public Health pays non établi dans la notice
Université ou école supérieure
Nigeria Centre for Disease Control Abuja, Nigéria (code pays fourni par la source)
Organisme public
University of Benin Nigéria (code pays fourni par la source)
Université ou école supérieure
University College London Department of Geography pays non établi dans la notice
Université ou école supérieure
Clinical Practice Research Datalink pays non établi dans la notice
Organisme public
Irrua Specialist Teaching Hospital Nigéria (code pays fourni par la source)
Établissement de santé
Africa Centres for Disease Control and Prevention Addis-Ababa, Éthiopie (code pays fourni par la source)
Organisation à but non lucratif
Lagos State Ministry of Health Lagos State Ministry of Health, Nigéria (code pays fourni par la source)
Organisme public
University of Abuja Teaching Hospital University of Abuja Teaching Hospital, Nigéria (code pays fourni par la source)
Établissement de santé
World Health Organization - Nigeria Nigéria (code pays fourni par la source)
Organisme public
Adamawa State University Nigéria (code pays fourni par la source)
Université ou école supérieure
National Agency for the Control of AIDS Abuja, Nigéria (code pays fourni par la source)
Organisme public

Department of Global Public Health — Karolinska Institutet, Nigeria Centre for Disease Control (Abuja, Nigéria) et University of Benin (Nigéria), avec 9 autres affiliations. Pays d’affiliation : Nigéria, Éthiopie.

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impactsCOVID-19 epidemiological studies

Lire en accès ouvert Consulter la publication primaire Ouvrir le DOI