COVID-19 incidence and mortality in Nigeria: gender based analysis

Olusola-Makinde, Olubukola; Makinde, Olusola Samuel

doi:10.7717/peerj.10613

Cited by 5 publications

(5 citation statements)

References 19 publications

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“…Olusola-Makinde and Makinde [11] studied the gender based COVID-19 prevalence rate and death rate in Nigeria. In the study, a Wilcoxon signed-rank test was adopted to examine disparity in the sex distributions of the daily prevalence.…”

Section: Introductionmentioning

confidence: 99%

Vector Autoregressive Modeling of COVID-19 Incidence Rate in Nigeria

Odekina¹,

Adedotun²,

Odusanya³

2021

IJDNE

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With the outbreak of COVID-19, a lot of studies have been carried out in various science disciplines to either reduce the spread or control the increasing trend of the disease. Modeling the outbreak of a pandemic is pertinent for inference making and implementation of policies. In this study, we adopted the Vector autoregressive model which takes into account the dependence that exists between both multivariate variables in modeling and forecasting the number of confirmed COVID-19 cases and deaths in Nigeria. A co-integration test was carried out prior to the application of the Vector Autoregressive model. An autocorrelation test and a test for heteroscedasticity were further carried out where it was observed that there exists no autocorrelation at lag 3 and 4 and there exists no heteroscedasticity respectively. It was observed from the study that there is a growing trend in the number of COVID-19 cases and deaths. A Vector Autoregressive model of lag 4 was adopted to make a forecast of the number of cases and death. The forecast also reveals a rising trend in the number of infections and deaths. The government therefore needs to put further measures in place to curtail the spread of the virus and aim towards flattening the curve.

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Section: Introductionmentioning

confidence: 99%

Vector Autoregressive Modeling of COVID-19 Incidence Rate in Nigeria

Odekina¹,

Adedotun²,

Odusanya³

2021

IJDNE

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“…Such knowledge can help to contain the pandemic among this group of essential service providers post lockdown, through adopting the right approach to precautionary measures. [8] A total of 29(25.9%) of the veterinary practitioner in our study returned a positive result, among which 72.5% of cases were male with the majority of the cases being [20] which showed that more cases of the infection are seen among the male gender in urban locations than female. In our study, married practitioners were more likely to return a positive COVID-19 result, this is because they have higher possibility to be exposed to other members of their family each day than single practitioners who are likely to be living alone, although this finding was not significant at multivariate level.…”

Section: Discussionmentioning

confidence: 71%

Prevalence and risk factors associated with SARS-CoV-2 infections among veterinary practitioners and dogs patients, June-August 2020, Lagos, Nigeria

et al. 2022

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Background Lagos State is the epicenter of COVID-19 in Nigeria, having the highest number of cases and death. Veterinary practitioners play an important role in public health and risk exposure to SARS-CoV-2, the virus that causes COVID-19 while attending to animal patients and owners. We determined the prevalence of covid-19 among veterinary practitioners and their dog patients in Lagos, and the associated risk factors during the lockdown. Methods We administered questionnaires, reviewed clinical records and conducted serological test to determine the COVID-19 status of 112 veterinary practitioners and 154 dog patients and to assess the associated factors in nine veterinary clinics or hospitals between June to August 2020. Data were analyzed using descriptive statistics, bivariate and multivariate analyses at 5% significant level. Result The mean age of participants was 37.5±10.5 and 66 (58.9%) were male. COVID-19 cases among the veterinary practitioners and dogs were 29 (25.9%) and 3 (2%), respectively. Predictors of COVID-19 cases among veterinary practitioners were contact with a SARS-CoV-2 infected dog (AOR: 25.42; CI 4.73-136.66); being a veterinary doctor working during the lockdown (AOR: 6.11; CI 1.56-24.00) and not disinfecting examination table after attending to dogs (AOR: 12.43; CI 1.39-110.99). Conclusion Veterinary practitioners and dogs in Lagos were exposed to SARS-COV-2 virus during the COVID-19 lockdown. Contact with SARS-CoV-2 infected dogs, being a veterinary doctor working during the lockdown and not disinfecting examination tables after clinical examination were predictors of COVID-19 cases among veterinary practitioners in Lagos State. Strict Infection, Prevention and Control measures are recommended in veterinary practice.

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“…Given that existing research documents COVID-19 incidence rates varying by gender [14], we present models for the overall sample, and for male and female samples separately. We present Incidence Rate Ratios in Table 2 and regression coefficients in Appendix Table 1 in S1 File.…”

Section: Plos Onementioning

confidence: 99%

Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria

Akinseinde,

Kosemani,

Osuolale

et al. 2023

PLoS ONE

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This study measures associations between COVID-19 deaths and sociodemographic factors (wealth, insurance coverage, urban residence, age, state population) for states in Nigeria across two waves of the COVID-19 pandemic: February 27th 2020 to October 24th 2020 and October 25th 2020 to July 25th 2021. Data sources include 2018 Nigeria Demographic and Health Survey and Nigeria Centre for Disease Control (NCDC) COVID-19 daily reports. It uses negative binomial models to model deaths, and stratifies results by respondent gender. It finds that overall mortality rates were concentrated within three states: Lagos, Edo and Federal Capital Territory (FCT) Abuja. Urban residence and insurance coverage are positively associated with differences in deaths for the full sample. The former, however, is significant only during the early stages of the pandemic. Associative differences in gender-stratified models suggest that wealth was a stronger protective factor for men and insurance a stronger protective factor for women. Associative strength between sociodemographic measures and deaths varies by gender and pandemic wave, suggesting that the pandemic impacted men and women in unique ways, and that the effectiveness of interventions should be evaluated for specific waves or periods.

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COVID-19 incidence and mortality in Nigeria: gender based analysis

Cited by 5 publications

References 19 publications

Vector Autoregressive Modeling of COVID-19 Incidence Rate in Nigeria

Vector Autoregressive Modeling of COVID-19 Incidence Rate in Nigeria

Prevalence and risk factors associated with SARS-CoV-2 infections among veterinary practitioners and dogs patients, June-August 2020, Lagos, Nigeria

Association between wealth, insurance coverage, urban residence, median age and COVID-19 deaths across states in Nigeria

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