Housing conditions as predictors of common childhood illness: Evidence from Nigeria Demographic and Health Surveys, 2008-2018

Several studies have examined the impacts of water, sanitation, hygiene, and general housing conditions on childhood health in developing countries. However, up-to-date knowledge and change pattern in common childhood illness prevalence over time are scarce in Nigeria. To contribute toward meeting the Sustainable Development Goals three and six, we used pooled data (N = 94,053) from the Nigeria Demographic Health Surveys from 2008 to 2018 to examine the trend and determinants of four childhood illnesses: diarrhea, fever, cough, and respiratory infection. Multivariate logistic regression was used to estimate the determinants of the four health outcomes. Our results indicate that between 2008 and 2018, the prevalence of childhood diarrhea, cough, and fever slowly declined. However, there was a drastic decline in childhood-related respiratory illness. Housing conditions, sanitation facilities, and water sources were significantly associated with childhood illness based on the logistic regression analysis. Based on our findings, we recommend general improvement in housing conditions that can eradicate childhood cough, fever, and respiratory infections.

Geographical Distribution and Risk Factors of Low Birth Weight in Nigeria

BACKGROUND

Low birth weight (LBW) directly or indirectly accounts for 60% to 80% of all neonatal deaths globally, and it has become an issue of serious health concern with Nigeria with one of the highest infant mortality rates (74/1,000) in the world. Despite the severe health impact, little is understood on the geographical differences in maternal socioeconomic and environmental factors that affect LBW across the states in Nigeria.

METHOD

Using the spatial epidemiological approach, this study examined the geographical variations in LBW and associated risk factors in Nigeria with the aid of spatial statistics.

RESULTS

There was a regional LBW corridor in the extreme north with Yobe state with the highest prevalence rate. Maternal educational attainment and acute maternal malnutrition explained 65.4% (ordinary least squares model) and 70.5% (spatial error model, SEM) of the variation in the geographical pattern of LBW.

CONCLUSION

LBW remains an issue of serious health concern in Nigeria. The finding of this study would shed more light on the spatial epidemiology of LBW in Nigeria and also guide public health programs in curtailing the high prevalence rate of LBW.

RECOMMENDATIONS

The study recommends health education on nutrition in pregnancy and the need to improve health literacy among women so as to check the high LBW prevalence.

Geographical patterns and effects of human and mechanical factors on road traffic crashes in Nigeria

Road traffic crashes (RTCs) remain an issue of global concern particularly in Nigeria where over 80 percent of these crashes are accounted by human and mechanical factors (HM). Many geographic studies on RTCs, fatality and injury have largely focused on the spatial clustering and associative analysis of risk factors; with little known about the relative contribution of HM factors within the spatial context. Hence, this study applied a spatial approach to the effect of HM factors on RTCs, fatality and injury across the regions of Nigeria. The data for this study were obtained from the National Bureau of Statistics for the year 2017-2019 and were analysed using spatial analysis techniques such as Global Moran's I and spatial regression model. There was evidence of geographic clustering of RTCs, fatality and injury in Nigeria. On one hand, route violation and sleeping on steering were significant predictors in southern Nigeria while tyre burst was significant at the national level, in the north and rural areas. The use of mobile phone while driving was a significant predictor at the national level. On the other hand, overloading was associated with RTCs and injuries at the national level and northern Nigeria. Speed violation was a prominent risk factor across the country. The study, based on observed regional differentials, argues that extant laws and regulations on traffic safety should be strictly enforced to curtail RTCs in the country.

Regional variation and demographic factors associated with knowledge of malaria risk and prevention strategies among pregnant women in Nigeria

Pregnant women and children are the most vulnerable populations for malaria infection. Yet, knowledge of risk, and preventive measures are poor among this population. Using the 2015 Nigeria Malaria Indicator Survey, we applied logit link function to estimate the associations of wealth status, educational attainment, and region of residence with malaria risk knowledge and prevention strategies (using a treated mosquito net and malaria drugs) among 739 Nigerian pregnant women aged 15-49 years. Urban women who had obtained a secondary school education (Adjusted odds ratio [aOR] = 2.12; 95% confidence interval [CI] 1.09-4) or higher (aOR = 8.31; 95% CI 3.2-22) had more knowledge of malaria risk. Urban women in the South-West (aOR = 5.02; [CI] 2.02-12.50) and South-East (aOR = 2.68; 95% CI 1.19-6.06) were more likely to use treated mosquito nets during pregnancy. Women in the urban South-West (aOR = 4.04; 95% CI 1.5-11) were more likely to use malaria drugs during pregnancy than those in the North-Central. A wide regional disparity in the knowledge of malaria risks and use of preventive measures exists. Thus, promoting equal access to malaria preventive measures as well as improving knowledge about malaria transmission by mosquitoes should be considered as essential components of ongoing malaria control and elimination efforts in Nigeria.

Using GIS to detect cluster and spatial disparity in maternal health indicators: a need for social health interventions

Maternal mortality remains a serious global health concern. Although global efforts have produced some encouraging results in some World Health Organization's health regions, disparities persist within many countries. Additionally, in many developing countries, inadequate documentation of various health events including maternal mortality and morbidity, make it difficult to determine the true extent of the problem. Maternal health indicators are therefore proxies used in estimating health status in developing countries. Using geospatial and geovisualization techniques, this study examines district level disparities in two maternal health indicators in Ghana antenatal care (ANC) visits and skilled birth attendance (SBA). The results reveal districts with complete lack of access to higher health care professionals and others with underutilization of antenatal services. The findings provide important input for targeting location-specific public health and maternal health interventions.