Clean water, sanitation and under-five children diarrhea incidence: Empirical evidence from the South Africa's General Household Survey

WASH Levels and Associated Human Health Risks in War-Prone West African Countries: A Global Indicators Study (2015 to 2021)

Water, Sanitation and Hygiene (WASH) levels have been shown to have impacts on health. However, the knowledge of WASH levels in war-prone West African countries is limited. The study extracted data (2015-2021) from the Joint Monitoring Programme (WHO/UNICEF), World Bank and Demographic and Health Surveys (DHS) to estimate WASH levels in the study countries. Pearson correlation analysis was used to establish the association among the WASH levels. Results showed that women had better access to safe water (56.39%), good sanitation (59.36%) and good hygiene (60.23%) compared to men. The urban population had better access to safe water (57.60%), good sanitation (61.23%), and good hygiene (65.65%) than the rural population. Among the countries under study, Nigeria had the highest access to safe water (36.10%) and good sanitation (24.41%), while Mali had the highest access to good hygiene (27.93%). Pearson correlation analysis showed a strong positive association between safe water and good hygiene (r = .998), safe water and sanitation (r = .996) and hygiene and sanitation (r = .998) at .00 significant levels. Based on the findings, it is recommended that integrated WASH programmes with combined infrastructure development, behaviour change campaigns and community engagement should be encouraged to ensure peaceful and sustainable access to WASH levels.

Inadequate Access to Potable Water Impacts Early Childhood Development in Low-Income Areas in Cape Town, South Africa

Background

Water and sanitation are vital to human health and well-being. While these factors have been studied in relation to health, very little has been done to consider such environmental risk factors with child development. Here, we investigated possible relations between household water access/storage and early childhood development in four low-income settlements in the City of Cape Town, Western Cape province of South Africa. Our objectives were 1) to determine water access/storage practices in dwellings of children; 2) to assess early childhood development; and 3) and to understand the relationship between water access/storage practices in relation to early childhood development.

Methods

We used a questionnaire to assess household water risk factors and the International Development and Early Learning Assessment (IDELA) tool to assess child early learning / cognitive, socio-emotional and motor development.

Results

Mean age of the children (N = 192) was 4 years and 55% were female. The mean IDELA score was 48% (range: 36-54%) where the higher the score, the better the child's development. Around 70% of households had a tap inside their dwelling and half said that they stored water with the largest percentage of storage containers (21%) being plastic/no lid. Child IDELA scores were lower for children living in households that did not have an indoor tap and for households who stored water.

Conclusions

Given the risks associated with climate change and the already poor conditions many children face regarding water and sanitation, research is needed to further investigate these relations to provide evidence to support appropriate interventions and ensure healthy child development.

Influence of sanitation facilities on diarrhea prevalence among children aged below 5 years in flood-prone areas of Bangladesh: a multilevel analysis

Although the improvement of sanitation facilities has been a major contributor to improving public health, it is not guaranteed to prevent negative health outcomes. This is especially true in areas affected by severe natural disasters, such as flooding or extreme rainfall. Previous studies have examined the association between catastrophic natural disasters and negative health outcomes. However, studies on disaster-prone areas are limited. This study focused on the impact of flood risks and examined whether the improvement of sanitation facilities would be sufficient to suppress the prevalence of diarrhea in flood-prone areas. Two secondary datasets including geodata on flood-prone areas were used for the analysis: one each was obtained from the Bangladesh Demographic and Health Survey and Bangladesh Agricultural Research Council. Two models with categorizations of sanitation facilities based on containment type and excreta flow were applied for analysis. Results showed that the severe flood-prone areas and "diffused" type of sanitation, where the feces are diffused without any containment, had significant positive associations with diarrhea prevalence; however, the interaction between them was negative. Moderate flood-prone areas had a significant positive association with diarrhea prevalence; however, the interaction with unimproved sanitation, which includes containment without clear partition from feces, was significantly negative. These findings indicate that improved sanitation or containment type of sanitation may not positively contribute to the prevention of diarrhea in these severe- and moderate-flood prone areas. The urgent need for alternative sanitation technologies should be addressed in flood-prone regions.

Factors of foreign direct investment flows to Indonesia in the era of COVID-19 pandemic

This paper presents a new spectrum and recommendations the Indonesian Government might find highly useful in attracting foreign direct investment (FDI) through electricity and water availability, Human Development Index (HDI), and COVID-19 pandemic evidence. Our study depends on cross-sectional data from 34 provinces and the time-series data from 2009 to 2020. We carry out the causality test (Dumitrescu-Hurlin) to check whether our research model is good enough to provide strategic options nationally. Furthermore, we employ the pooled ordinary least squared (POLS), fixed effect model (FEM), and random effect model (REM). The three models have so-called static panel data. Based on the Chow's and Hausman's test, we also find that the random effect is the best model to explain our empirical research. Our findings indicate that the electricity, water, HDI, and COVID-19 pandemic significantly contribute to the FDI. Our research also contributes to the literature on the predictors of FDI. This research is expected to help the Indonesian Government to make decisions on electricity, water, and human capital policy. Moreover, it highlights the direction a government or policymaker can take to attract the FDI.

Prevalence and spatiotemporal distribution of rotavirus diarrhea among children younger than five years old in Lagos, Nigeria

Data on spatiotemporal distribution of rotavirus diarrhea are limited in many endemic settings. This study determined the prevalence and seasonal distribution of rotavirus among Nigerian children with diarrhea. Here, a total of 406 fecal samples were collected from patients attending six health facilities in Lagos between January - December 2019. Socio-demographic data of each enrolled child were collected. Rotavirus VP6 antigen was detected by enzyme-linked immunoassay (ELISA) and confirmation by VP7 gene detection by reverse transcription polymerase-chain reaction. The overall rotavirus diarrhea prevalence was 16.3% by ELISA with children above 2 years having 29.2% of this prevalence and higher occurrence in females (59.1%) than males (40.9%) (P < .05). Rotavirus diarrhea diagnosis using RT-PCR showed 100% concordance with ELISA. Cases of rotavirus diarrhea were detected from March to July and from September to November with the highest number of cases detected in May and June (22.7% each), followed by July (21.2%). The prevalence of rotavirus diarrhea remains high in Lagos with an emerging higher disease activity in children above 2. A different rotavirus transmission dynamics compared to previous studies from Nigeria and other African countries was found. VP6 ELISA may reliably be used for continuous rotavirus surveillance in Nigeria.

Assessing agricultural commercialization and rural infrastructure development in rural Southwestern Nigeria: evidence from smallholder cassava farmers

This study assessed agricultural commercialization and rural infrastructure development of smallholder cassava farmers in rural Southwestern Nigeria. The study was conducted in Nigeria with cross-sectional data collected from 352 smallholder cassava farmers. Crop commercialization index (CCI) was used to compute each farmer’s CCI and categorized into four levels while ordered logit model was employed to analyze the determinants of agricultural commercialization of cassava farmers in the study areas. Availability of some important rural infrastructures were assessed across cassava farmers’ commercialization levels. The results revealed that 13.1 % of cassava farmers did not participate in the sale of cassava roots while 86.9 % of them participated actively in the output market. The mean and maximum CCI in the study areas was 59.1 and 95.5 respectively. The results also showed that less than 40 % and 20 % of cassava farmers in all commercialization levels had access to electricity and piped water respectively. The ordered logit regression analysis indicated that age, transport cost, cassava marketing experience, and distance to market were among the determinants of agricultural commercialization. Therefore, stakeholders should expedite policy actions capable of promoting rural infrastructure development that will enhance agricultural production, marketing and improve the quality of life of rural farming communities.

Nutrition Outcomes of Under-five Children of Smallholder Farm Households: Do Higher Commercialization Levels Lead to Better Nutritional Status?

The study investigated the nutritional status of under-five children of farm households. The study utilized primary data from 352 farm households with 140 under-five children. Household crop commercialization index (CCI) was used to estimate cassava farm household crop sale ratio and categorize the households into four commercialization levels while WHO Anthro software was employed to analyze under-five children anthropometric indices such as weight-for-age z-score (WAZ), height-for-age z-score (HAZ) and weight-for-height z-score (WHZ). Logit regression model (LRM) was used to examine the drivers of under-five children's nutritional status of farm households. The study found that 42.9%, 7.9% and 3.6% of the children are stunted, underweight and wasted respectively. The highest stunting level was recorded in zero level households (CCI 1). Although, some higher CCI households (medium-high and very-high level) recorded increased percent of stunted children. This revealed that being a member of low or high-level commercialization households may not guarantee better nutritional status of young children of farm households. The results of LRM indicated that the predictors of children nutritional status were child's age, farm size, access to electricity, healthcare and commercialization variables. Moreover, weak positive and negative relationships exist between CCI and children's nutrition outcomes as measured by the z-scores. The study recommended maternal nutrition-sensitive education intervention that can improve nutrition knowledge of mothers and provision of infrastructure that enhance increased farm production and promote healthy living among farm households.

Investigating food insecurity, health and environment-related factors, and agricultural commercialization in Southwestern Nigeria: evidence from smallholder farming households

Hunger and food insecurity remained some of the serious challenges facing our world in present time with great concerns from Sub-Saharan Africa especially countries like Nigeria. This study investigates food insecurity (FI), health and environment-related factors, and agricultural commercialization among smallholder farm households. This study was conducted in Southwestern Nigeria utilizing cross-sectional survey data from 352 farm households and employed multi-stage sampling procedure. The household FI levels was determined using food insecurity access scale (HFIAS), crop commercialization index (CCI) was used to compute each household's CCI (four levels), while ordered logit model was used to analyse factors influencing FI. Health and environment-related factors' access were assessed across each FI category. The results indicated that about 13% of cassava farm households are non-participant in the marketing of their produce. The findings revealed that less than 20%, 30%. and 40% of households in all four FI categories had access to piped water, improved toilet facilities, and electricity respectively. The ordered logit regression analysis indicated that age, gender, education level, farm experience, nonfarm income, and ownership of motorcycle significantly influencing FI in the study areas. Therefore, this study stressed the implementation of policy actions capable of promoting rural infrastructure development that will lead to increased agricultural production, marketing, and improved quality of life of rural dwellers.

Climate change and global health: A call to more research and more action

There is increasing understanding, globally, that climate change and increased pollution will have a profound and mostly harmful effect on human health. This review brings together international experts to describe both the direct (such as heat waves) and indirect (such as vector-borne disease incidence) health impacts of climate change. These impacts vary depending on vulnerability (i.e., existing diseases) and the international, economic, political, and environmental context. This unique review also expands on these issues to address a third category of potential longer-term impacts on global health: famine, population dislocation, and environmental justice and education. This scholarly resource explores these issues fully, linking them to global health in urban and rural settings in developed and developing countries. The review finishes with a practical discussion of action that health professionals around the world in our field can yet take.

Disentangling Drivers of Food Waste in Households: Evidence from Nigeria

Food waste is a burden on society in terms of the money wasted. There is limited information on the determinants of food waste and the amount lost to food waste by households as most previous studies were on post-harvest losses. Hence, determinants of food waste among households in Kogi West Senatorial District, Kogi State Nigeria were investigated. A three-stage sampling technique was used to select the respondents, while a structured questionnaire was used for data collection. Data were analyzed using Tobit regression and an equality test. The study revealed that food waste was higher in male headed households. The average monthly food waste proportion among urban households was significantly higher than that of rural households. The estimated amounts lost to food waste per month were ₦2103 and ₦5530 for the rural and urban households, respectively. These represented 7.2% and 13.1% of the total expenditure on food per month for rural and urban households, respectively. Among rural households, leftovers of food and lack of proper storage were the main reasons for food waste, while leftovers of food and preparation of food more than needed were the reasons for food waste among urban households. The sex of respondents, work experience, and monthly income influenced the proportion of food waste among rural households, while the dependency ratio, monthly income, and monthly food expenditure were the determinants of proportion of food waste among the urban households. Non-Governmental Organization efforts through sensitization campaigns focused on the need to reduce food waste, especially among urban households, would help to reduce the financial burden of food waste on households.

Dietary diversity, environment and health-related factors of under-five children: evidence from cassava commercialization households in rural South-West Nigeria

Diverse and quality diets are crucial to sustainable growth and development of under-five children, especially those of rural farming households. This study investigated the dietary diversity, environment, and health-related factors of young children. The study employed the use of cross-sectional survey data from 140 under-five children of cassava farming households in Ogun and Oyo states, South-West Nigeria. The study estimated factors influencing dietary diversity of under-five children and assessed children dietary diversity, and the availability of some environment and health-related factors of the farming households. The findings indicated that 98.7% and 97.5% of children consumed grains, with roots and tubers while 36.7% and 36.3% consumed legumes in Ogun and Oyo states respectively. The results also found that 48.6% of children sampled met the minimum cut-off point of 4 food groups with dietary diversity mean score of 3.28. The logit regression analysis indicated that child's age, mothers' age, distance to farm, and food expenditure were among the significant determinants of children dietary diversity. Therefore, this study seeks the collaborative efforts of stakeholders in providing nutrition-sensitive intervention programs for household members, especially mothers and young children in order to promote consumption of diversified diets and enhance healthy living of rural farming households.

Effects of seasonality on access to improved water in Benue State, Nigeria

Many people switch sources of drinking water and sanitation between seasons, yet such shifts are not reflected in the reporting of access to improved water and sanitation services by the Joint Monitoring Programme (JMP). Drawing on quantitative and qualitative data collected from urban and rural sites in dry and rainy seasons in Benue state, Nigeria, this study highlights the importance of seasonal variations in water access and quality. Water testing showed that water sources had higher levels of contamination with coliforms, nitrate and chloride in the dry season than the wet season. The contamination of water from these pollutants is above WHO standards and believed to come mainly from pit latrines. Semi-structured interviews revealed that many people who use improved water and sanitation facilities in the rainy season sometimes switch to poorer quality unimproved sources in the dry season. Travel times for collecting water as well as waiting times also significantly increased in the dry season. It is recommended that this important seasonality element is factored into JMP data collection and reporting.

Assessing Food Insecurity and Its Drivers among Smallholder Farming Households in Rural Oyo State, Nigeria: The HFIAS Approach

Hunger and food insecurity take center stage in most debates in Africa, and in recent times with serious concerns about Nigeria. This study assessed food insecurity among farming households in rural Oyo State, Nigeria, using cross-sectional datasets from 211 farming households through a multi-stage sampling procedure. The Household Food Insecurity Access Scale (HFIAS) module was employed in assessing food insecurity status of farming households, and the ordered logit model (OLM) was used to analyze factors influencing food insecurity among farming households. The results revealed that 12.8% of the farming households were food secure while 87.2% had varying levels of food insecurity. The OLM results indicated that age, household head’s years of schooling, gender, farm size, farm experience, non-farm income, food expenditure, and access to extension service significantly influenced food insecurity among farming households. Based on the findings, efforts should be geared towards promoting households’ education-related intervention programs in order to improve their nutrition-related knowledge that can enhance their food security status. Additionally, there should be provision of rural infrastructural facilities such as piped water, rural electrification, and healthcare service that promote healthy living and enhance households’ agricultural productivity.