ObjectiveTo estimate the burden of road traffic injuries and deaths for all road users and among different road user groups in Africa.MethodsWe searched MEDLINE, EMBASE, Global Health, Google Scholar, websites of African road safety agencies and organizations for registry- and population-based studies and reports on road traffic injury and death estimates in Africa, published between 1980 and 2015. Available data for all road users and by road user group were extracted and analysed. We conducted a random-effects meta-analysis and estimated pooled rates of road traffic injuries and deaths.FindingsWe identified 39 studies from 15 African countries. The estimated pooled rate for road traffic injury was 65.2 per 100 000 population (95% confidence interval, CI: 60.8–69.5) and the death rate was 16.6 per 100 000 population (95% CI: 15.2–18.0). Road traffic injury rates increased from 40.7 per 100 000 population in the 1990s to 92.9 per 100 000 population between 2010 and 2015, while death rates decreased from 19.9 per 100 000 population in the 1990s to 9.3 per 100 000 population between 2010 and 2015. The highest road traffic death rate was among motorized four-wheeler occupants at 5.9 per 100 000 population (95% CI: 4.4–7.4), closely followed by pedestrians at 3.4 per 100 000 population (95% CI: 2.5–4.2).ConclusionThe burden of road traffic injury and death is high in Africa. Since registry-based reports underestimate the burden, a systematic collation of road traffic injury and death data is needed to determine the true burden.

This study was undertaken to identify key stress factors among professionals in the building construction industry in Nigeria. This is in view of the fact that to date, very little is known about work stress among professionals in the building construction industry in this country. The study involved the administration of a questionnaire to 107 professionals including architects, builders, civil/structural engineers and quantity surveyors randomly selected from 60 ongoing building projects in Anambra, Ogun and Kaduna States, Nigeria. The data were analysed using descriptive statistics, and findings show that the principal sources of stress were high volume of work, uncomfortable site offices, lack of feedback on previous and ongoing building projects, and variations in the scope of work in ongoing building projects. The paper suggests that taking responsibility for work which one has adequate capacity to handle, establishing realistic budgets and time frames for project delivery, provision of spatially adequate, visually and thermally comfortable site offices, adoption of appropriate job design practices and education of professionals in stress management will reduce the incidence of stress among professionals in the building industry in Nigeria.

BackgroundMaternal mortality and morbidity reflect the status of population health and quality of life across nations. Poor understanding of the interplay of many antecedent factors, including sociocultural, economic and logistic factors, combined with an overwhelming poor health services delivery, is a basic challenge in several countries, particularly in rural settings where functional health care services are relatively scarce. There are still uncertainties as to the extent of this burden, owing to current challenges with information and data collation. This study aimed at identifying nonmedical factors associated with maternal mortality in rural and semiurban communities of southwestern Nigeria.MethodologyThe study was carried out in Ado-Odo/Ota Local Government Area of Ogun State. A multistage sampling technique and an informant survey approach were used in the study. A total sample of 360 eligible respondents were selected randomly from 11 out of 16 political wards in the study area and interviewed through the administration of questionnaires. The data were processed using descriptive statistics and regression analyses.ResultsPlace of consultation (P=0.000), who pays the treatment costs (P=0.000), awareness of pregnancy complications (P=0.002) and knowledge of the place of antenatal care treatment (P=0.000) significantly influenced maternal mortality (proxy by place of delivery of last birth). The F-statistic (15.100) confirmed the hypothesis that nonmedical factors influence maternal mortality. The correlation of predictor variables was significant at both the 0.01 level and the 0.05 level (2-tailed).ConclusionOur findings suggest that in a rural community setting with a depleted health care system, health education tailored toward community culture, subsidized maternal health care services by the government and operators of private clinics, as well as empowering and improving the status of women may reduce maternal mortality and prompt better utilization and survival chances of women in the study area as well as in all of Nigeria.

Socio-cultural factors are threat to women's health and well-being. A culture reinforces the gender role and life style of husbands and wives. No matter how equipped a health facility is, it is the patronage that makes the difference to good health. People's socio-cultural background plays vital role in seeking and acceptance of health care. The consequence of these factors on the use of health facility among pregnant women is a major cause of maternal morbidity and mortality and a powerful brake on the road to the achievement of MDGs as well as overall development. Maternal mortality in Nigeria is very high, with an estimated 52,900 Nigerian women dying from pregnancyrelated complications out of a global total of 529,000 maternal deaths. It is not encouraging to note that 62 percent of births in Nigeria occur at home and 96 percent of women who received no ANC services delivered at home. Several factors lead to health care facility utilization and among these the less studied is the socio-cultural dimension and hence the focus of the paper. The study was carried out in Ado-Odo/Ota local government area with 260 eligible respondents, selected randomly from the eight wards in the local government. Interview approach was employed with the aid of structured questionnaire to elicit required information from the respondents and data analyzed using SPSS. The main objective of this study is to understand the influence of socio-cultural factors influencing health care utilization among women during pregnancy and child birth. The findings show that husband perception of pregnancy complications, age at marriage, who pays antenatal bills, family type, treatment place decision are significant towards use of health care services by mothers. Paper provides recommendations for improving the use of maternal health delivery services in the study area and beyond.

BackgroundAnthropometric measures have been widely used for body weight classification in humans. Waist circumference has been advanced as a useful parameter for measuring adiposity. This study evaluated the correlation between body mass index (BMI) and waist circumference and examined their significance as indicators of health status in adults.Design and methodsThe subject included 489 healthy adults from Ota, Nigeria, aged between 20 and 75 years, grouped into early adulthood (20-39 years), middle adulthood (40-59 years) and advanced adulthood (60 years and above). Weight, height and abdominal circumference were measured. BMI was calculated as weight kg/height2 (m2) and World Health Organization cut-offs were used to categorize them into normal, underweight, overweight and obese.ResultsAbnormal weight categories accounted for 60 % of the subjects (underweight 11 %, overweight 31%, and obese 18%). The waist circumference of overweight and obese categories were significantly (P<0.05) higher than the normal weight category. There was no significant difference between waist circumference of underweight and normal subjects. The correlation coefficient values of BMI with waist circumference (r=0.63), body weight (r=0.76) and height (r=-0.31) were significant (P<0.01) for the total subjects.ConclusionsThe study indicates that waist circumference can serve as a positive indicator of overweight and obesity in the selected communities; however, it may not be used to determine underweight in adults. Regular BMI and waist circumference screening is recommended as an easy and effective means of assessing body weight and in the prevention of weight related diseases in adults.Significance for public healthThis manuscript describes the correlation between body mass index, waist circumference and body weight of two communities in Ota, Ogun State, Nigeria and the use of these anthropometric measures for body weight classification in human populations of the selected communities. This was carried out to evaluate the health status of the indigenes of the two communities for proper health awareness and public health intervention programmes.

Background: The study examined the socio-economic determinants of women access to healthcare services in Sub-Saharan Africa for the period 1995-2015. Methods: The study adopted the dynamic panel model and estimated it using the System Generalized Method of Moments in a bid to overcome the endogeneity problem inherent in the model of study. Result: The study harmonized the theoretical strands in the literature by describing the measure of access determinants as three main components; i. Health service availability, ii. Health service utilization and iii. Health service decision. Conclusion: The indicators of health service availability such as community health workers, physicians, nurses and midwives and hospital beds improve women's access to healthcare facilities in Africa. Also, health service utilization indicators such as population density worsen the quality of healthcare services available to women while electricity access and private health expenditure enhance women’s access to quality healthcare delivery. Health service decision indicators such as female bank account ownership, female labour force participation, attainment of basic education and female household headship were important in enhancing women's access to healthcare facilities. Generally, women's health outcomes were more responsive to health service utilization; implying that service utilization is an important proof of healthcare access in Africa.

Background. The reports and information on coronavirus are not conspicuously emphasising the possible impact of population density on the explanation of difference in rapid spread and fatality due to the disease and not much has been done on bicountry comparisons. Objective. The study examined the impact of population density on the spread of COVID-19 pandemic in two sociodemographic divergent countries. Methods. The study conducted a scoping review of published and unpublished articles including blogs on incidences and fatalities of COVID-19. The analysis followed qualitative description and quantitative presentation of the findings using only frequency distribution, percentages, and graphs. Results. The two countries shared similar experience of “importation” of COVID-19, but while different states ordered partial lockdown in Nigeria, it was an immediate total lockdown in Italy. The physician/patient ratio is high in Italy (1 : 328) but low in Nigeria (1 : 2500), while population density is 221 in Nigeria and 206 in Italy. Daily change in incidence rate reduced to below 20% after 51 and 30 days of COVID-19 first incidence in Italy and Nigeria, respectively. Fatality rate has plummeted to below 10% after the 66th day in Italy but has not been stabilised in Nigeria. Conclusion. The authors upheld both governments’ recommending measures that tilted towards personal hand-hygienic practices and social distancing. Authors suggested that if Italy with its high physician/patient ratio and lower population density compared to Nigeria could suffer high fatality from COVID-19 pandemic under four weeks, then Nigeria with its low physician/patient ratio and higher population density should prepare to face harder time if the pandemic persists.

Several policies and programmes have been put in place to address the issue of poverty both in developing and developed countries of which Nigeria is not exempted. This study using data from World Development Indicators (WDI) for the period of 1992-2016 examined the key principles influencing poverty rate in Nigeria and their implications for policy interventions. The result of the Autoregressive Distributed Lag (ARDL) model using several equations showed that unemployment increases poverty by approximately 1.4, 1.5 and 3.3 percent in the short run while inflation reduces poverty by approximately 0.08 percent in the short run. This implies that unemployment causes poverty while inflation, public resources devoted to austerity programmes and economic growth reduces poverty in the short run.The study recommends that government should put in place adequate measures and conducive environment to encourage more business operations in the country.