Background: Nigeria is in short supply of health workforce and equipment needed to manage the infected COVID-19 individuals. The rate of occurrence of new cases of infection has the capacity to ...further deplete the human resources in the sector, putting a dent in the fight against the spread of the virus. This study aims to determine the capacity of Nigerian health systems to respond to COVID-19. Materials and Methods: This was a scoping review of media documents, official documents and journals, published from 1st December 2019 to 31st December 2021. Online media reports were sourced from major newspapers on FACTIVA (Vanguard, Punch, Guardian, The Nation, Business Day, and Premium Times) that reported national and state level health system responses to COVID-19. We also reviewed other online news sources that have consistently reported health systems response to COVID-19 in Nigeria. Some of these are Nigeria Health Watch, APO Africa Newsroom, Federal Ministry of Health newsletter, and national media. Results: By December 31st, 2020, Nigeria had 70 free laboratories controlled by the government. These comprised 31 federal laboratories, 30 state, 3 military, 2 Non-Governmental Organization (NGO), 2 UN and 2 private labs. In 2019, Nigeria's IHR score at point of entry 1 & 2 was 3 and 1. Routine capacities established at points of entry was improved, however, effective public health response at point of entry, remained the same. Which supports the low response capacity of the country. Nigeria's average score across the JEE 2019 had increased to 7% (from 39% in 2017 to 46% in 2019) - four new indicators and 20 indicators with improved scores from 2017. Conclusion: Nigeria's health system response and capacity to handle COVID-19 is quite poor and grossly inadequate. There is a need to increase the number of health workforce in the country and institute adequate accountability mechanisms to ensure prudent and focused management of health funds.
Background: There is a rise in the prevalence of mental illness among adolescents and the impact of violence on this rising trend requires to be evaluated. Aim: The aim of the study is to better ...understand the impact of violence on adolescent's mental health. Materials and Methods: The study was a cross-sectional school-based study. Adolescents in the selected schools were interviewed using a structured questionnaire. Information on previous experience of violence, the action is taken, and the effect on them was collected. Data were entered and analyzed using SPSS. The level of significance was at P < 0.05. Results: A total of 716 adolescents were studied over a one month period. The prevalence of violence was 87%. About 57.2% of the violence occurred at home, 44.2% was carried out by relatives and 49.2% happened within the past six months. Sexual abuse was 10.2%. Among the adolescents that experienced violence, 58.7% suffered some form of mental illness. There was a significant difference between the action the adolescents took after the violent incident and the action that was considered appropriate for it (P = 0.00001). Female gender (P = 0.042), not living with parents (P = 0.015) and poverty (P = 0.00001) significantly correlate with adolescent violence. Conclusion: Violence is high among adolescents and associated with a high prevalence of mental illness. Interventional measures targeted at reducing violence by improving poverty alleviation programs that empower families to carter for their children should be implemented.
The epidemiological transition of non-communicable diseases replacing infectious diseases as the main contributors to disease burden has been well documented in global health literature. Less focus, ...however, has been given to the relationship between sociodemographic changes and injury. The aim of this study was to examine the association between disability-adjusted life years (DALYs) from injury for 195 countries and territories at different levels along the development spectrum between 1990 and 2017 based on the Global Burden of Disease (GBD) 2017 estimates.
Injury mortality was estimated using the GBD mortality database, corrections for garbage coding and CODEm-the cause of death ensemble modelling tool. Morbidity estimation was based on surveys and inpatient and outpatient data sets for 30 cause-of-injury with 47 nature-of-injury categories each. The Socio-demographic Index (SDI) is a composite indicator that includes lagged income per capita, average educational attainment over age 15 years and total fertility rate.
For many causes of injury, age-standardised DALY rates declined with increasing SDI, although road injury, interpersonal violence and self-harm did not follow this pattern. Particularly for self-harm opposing patterns were observed in regions with similar SDI levels. For road injuries, this effect was less pronounced.
The overall global pattern is that of declining injury burden with increasing SDI. However, not all injuries follow this pattern, which suggests multiple underlying mechanisms influencing injury DALYs. There is a need for a detailed understanding of these patterns to help to inform national and global efforts to address injury-related health outcomes across the development spectrum.
Introductionalthough onchocerciasis is rarely a life-threatening disease, it causes chronic morbidity which ultimately leads to disability due to late detection and treatment of the infected people. ...Disability in Onchocerciasis results in activity limitation and social exclusion of the affected individuals through stigma. This study aimed at assessing the level of disability and its determinants among persons with onchocerciasis. Methodsmulti-stage sampling technique was used to recruit 340 respondents from the randomly selected wards. Disability was assessed using WHO Disability Assessment Schedule 2.0 (WHODAS 2.0) tool. Chi-square test and multivariate analysis using binary logistic regression were used to determine factors associated with disability. The level of statistical significance was determined by a p-value of < 0.05. Resultsthe highest proportion (35.6%) of the respondents was 55 years and above with a mean age of 46.8±17.5. About three-quarters (76.2%) of them had some form of disability and the disability domains mainly affected were participation in community activities (61.8%) and getting along with other people (54.1%) while the least affected were self-care (26.2%) and life activities including domestic responsibilities (45.0%). The Predictor of disability included being ≥48 years old, (AOR=0.2; 95%CI: 0.1-0.4). Conclusionmost people with onchocerciasis experience some form of disability and the major determinant for disability is being in the older age group. Thus, there is a need for stakeholders in the onchocerciasis control program to formulate and implement disability screening programs in the communities for early detection of onchocerciasis-associated disability, especially among the older age group.
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