RESUMO
In recent times, the COVID-19 pandemic has been the subject of global concern. It has so far claimed over 5.4 million lives globally, with over 291 million cases recorded worldwide as of 5 January 2022. It is known to have different waves and variants, thus making it difficult to handle/manage. This study investigates the impact of the first and second waves of COVID-19 in Nigeria, West Africa. The data used is for the 36 states of Nigeria archived at the National Centre for Disease Control from February 2020 to April 2021. Results from the study reveal that the highest number of COVID-19 cases during the first/second wave was recorded at Lagos (23,238/34,616), followed by the Federal Capital Territory (FCT) (6,770/12,911) and alternates between Plateau (3,858/5,170) and Kaduna (3,064/5,908). Similarly, the highest number of deaths (during the first/second wave) was also recorded in Lagos (220/219), followed by Edo (112/73), and then FCT (83/81). The Case Fatality Ratio (CFR) was observed to be higher mostly in northern Nigeria during the first wave and the southeast during the second wave of the pandemic. On the average, the number of cases/deaths recorded during the second wave was higher than those of the first wave, but a decrease in the CFR values was observed during the second wave. Higher values of COVID-19 cases/death were mostly recorded in Nigeria during; maximum relative humidity (RH) (>70%) with minimum Temperatures (<25°C), Low temperatures, and low RH which is mostly observed during the cold/dusty periods.
RESUMO
Objectives: The study aimed to assess the prevalence and the determinants of incomplete childhood vaccination in Nigeria. Materials and Methods: The data for this study was the 2018 Nigeria Demographic and Health Survey. Multivariable multilevel logistic regression analysis techniques using Stata statistical software (version 13) were used in analyzing the data of 5,384 children aged 12-23 months old. Results: About 69.6% of the children were incompletely vaccinated. Individual-level factors such as maternal education, household wealth were associated with incomplete vaccination. The odds of incomplete vaccination among children of mothers without education was 68% higher than those with secondary education and above (adjusted odds ratio [AOR]: (AOR = 1.68; 95% confidence intervals [CI]: 1.56-2.56). Equally children from high wealth index have reduced odds of incomplete vaccination compared to those from low wealth index (AOR = 0.58; 95% CI: 0.47-0.71). Community-level factors such as place of residence, difficulty in getting to health facility were equally associated with vaccination status. The likelihood of incomplete vaccination was 26% higher among children whose parents had difficulty reaching the health facility (AOR = 1.26; 95% CI: 1.11-1.50) than those that did not. In addition, the likelihood of been incompletely vaccinated reduced for children whose mothers live in urban areas (AOR = 0.47; 95% CI: 0.40-0.59). Conclusions: Incomplete childhood vaccination is prevalent in the country and associated with various individual and community factors. Program and policies aimed at improving childhood vaccination uptake should target the identified factors.