Enumeration Areas Research Articles

Protocol for PMA-Ethiopia: A new data source for cross-sectional and longitudinal data of reproductive, maternal, and newborn health

Background: Performance Monitoring for Action Ethiopia (PMA-Ethiopia) is a survey project that builds on the PMA2020 and PMA Maternal and Newborn Health projects to generate timely and actionable data on a range of reproductive, maternal, and newborn health (RMNH) indicators using a combination of cross-sectional and longitudinal data collection. Objectives: This manuscript 1) describes the protocol for PMA- Ethiopia, and 2) describes the measures included in PMA Ethiopia and research areas that may be of interest to RMNH stakeholders. Methods: Annual data on family planning are gathered from a nationally representative, cross-sectional survey of women age 15-49. Data on maternal and newborn health are gathered from a cohort of women who were pregnant or recently postpartum at the time of enrollment. Women are followed at 6-weeks, 6-months, and 1-year to understand health seeking behavior, utilization, and quality. Data from service delivery points (SDPs) are gathered annually to assess service quality and availability. Households and SDPs can be linked at the enumeration area level to improve estimates of effective coverage. Discussion: Data from PMA-Ethiopia will be available at www.pmadata.org. PMA-Ethiopia is a unique data source that includes multiple, simultaneously fielded data collection activities. Data are available partner dynamics, experience with contraceptive use, unintended pregnancy, empowerment, and detailed information on components of services that are not available from other large-scale surveys. Additionally, we highlight the unique contribution of PMA Ethiopia data in assessing the impact of coronavirus disease 2019 (COVID-19) on RMNH.

The Burden of HIV, Hepatitis B and Hepatitis C by Armed Conflict Setting the Nigeria Aids Indicator and Impact Survey, 2018

Background: Against a background of security challenges, Nigeria conducted recently the largest population-based HIV survey in the world to ascertain the burden of the HIV disease in the country. We evaluated the main outcomes of the survey and the level of success using participation/response indicators. Methods: The survey was conducted from July 2018 to December 2018 by over 6,000 field staff across Nigeria in six consecutive webs, using two-stage cluster sampling. This analysis was restricted to adults (15-64 years old) from randomly selected households. We estimated the prevalence of HIV, hepatitis B and hepatitis C in the entire country and by conflict zone status. Adjusted odds ratios (OR) and 95% confidence intervals (CI) from survey logistic regression models were used to compare the likelihood of test positivity for the three infections between zones. Findings: A total of 186,405 adults were interviewed from 97,250 households in 3,848 census enumeration areas. Although household response rate was lower in conflict compared to non-conflict areas (68·76% versus 89·83%; p < 0·01), rates of interview response (92·43% versus 91·61%) and blood draw acceptance (94·71% versus 92·91%) were higher in conflict zones. The overall HIV, hepatitis B and hepatitis C positivity rates were 1·55%, 7·63% and 1·73%, respectively. The prevalence of HIV, hepatitis B and C infection was significantly greater in conflict than non-conflict zones (HIV: 1·75% versus 1·0%; hepatitis B: 9·9% versus 7·3%; and hepatitis C: 3·2% versus 0·3%; p < 0·01 in all cases). Individuals living in conflict zones were about three times as likely to test positive for HIV (OR = 2·80, 95% CI = 2·08,3·60) and nearly six times as likely to test positive for hepatitis C (OR = 5·90, 95% CI = 2·17,16·67). Interpretation: Large population-based surveys are feasible, even in armed conflict settings. The burden of HIV, hepatitis B and hepatitis C was significantly higher in areas of conflict in Nigeria, highlighting the need for reinforced public health control measures in these settings in order to attain UNAIDS’ 95-95-95 targets of controlling the HIV epidemic in sub-Saharan Africa by 2030. Funding Statement: President’s Emergency Plan for AIDS Relief (PEPFAR), The US Centers for Disease Control and Prevention, The Global Fund. Declaration of Interests: All authors attest that there is no conflict of interest to be declared Ethics Approval Statement: The protocol for the survey was approved by the Nigeria National Health Research Ethics Committee (NHREC) and the Institutional Review Boards at the CDC and the University of Maryland.

The grapevine effect in sensitive data collection: examining response patterns in support for violent extremism

AbstractThis study presents a pattern overlooked in previous research on measuring sensitive political outcomes: over the course of data collection, responses tend to shift in the direction of support for the local incumbent power. We suggest that, whereas earlier responses are largely devoid of this social desirability bias, word of the research spreads across enumeration areas, and individuals interviewed later in the process alter their responses out of fear of retribution for inappropriate answers. We document the pattern using original data from two surveys on support for violent extremism conducted in three different countries in the Sahel region of Africa. We rule out a host of alternative explanations and further confirm that the pattern can arise not just with overt survey measures but even with covert, experimental ones. We then demonstrate the same pattern using out-of-sample data from a separate well-known study. The findings offer a cautionary note to both conventional and experimental approaches to measuring sensitive attitudes.

Protocol for PMA-Ethiopia: A new data source for cross-sectional and longitudinal data of reproductive, maternal, and newborn health.

Background: Performance Monitoring for Action Ethiopia (PMA-Ethiopia) is a survey project that builds on the PMA2020 and PMA Maternal and Newborn Health projects to generate timely and actionable data on a range of reproductive, maternal, and newborn health (RMNH) indicators using a combination of cross-sectional and longitudinal data collection. Objectives:This manuscript 1) describes the protocol for PMA- Ethiopia, and 2) describes the measures included in PMA Ethiopia and research areas that may be of interest to RMNH stakeholders. Methods: Annual data on family planning are gathered from a nationally representative, cross-sectional survey of women age 15-49. Data on maternal and newborn health are gathered from a cohort of women who were pregnant or recently postpartum at the time of enrollment. Women are followed at 6-weeks, 6-months, and 1-year to understand health seeking behavior, utilization, and quality. Data from service delivery points (SDPs) are gathered annually to assess service quality and availability. Households and SDPs can be linked at the enumeration area level to improve estimates of effective coverage. Discussion: Data from PMA-Ethiopia will be available at www.pmadata.org. PMA-Ethiopia is a unique data source that includes multiple, simultaneously fielded data collection activities. Data are available partner dynamics, experience with contraceptive use, unintended pregnancy, empowerment, and detailed information on components of services that are not available from other large-scale surveys. Additionally, we highlight the unique contribution of PMA Ethiopia data in assessing the impact of coronavirus disease 2019 (COVID-19) on RMNH.

Factors influencing the use of modern contraceptive in Nigeria: a multilevel logistic analysis using linked data from performance monitoring and accountability 2020

BackgroundThe population of Nigeria is estimated at over 190 million and it is projected to increase by 44% between 2015 and 2030. However, less than one-quarter of women within reproductive age in Nigeria uses modern contraceptive methods despite its importance. Hence, this study aims at examining the influence of individual and community level factors on the use of modern contraceptive method.MethodsThe study is a secondary analysis of linked household and Service Delivery Point datasets from a 2018 survey conducted by Performance, Monitoring and Accountability in Nigeria. Data was abstracted for a total of 9126 sexually active women within the ages of 15–49 years across 295 enumeration areas in seven States. A 2-level binary logistic regression was used to examine the association between study variables and the use of modern contraceptives while adjusting for the clustering effect.ResultsThere was significant influence of educational level, marital status, parity, socio-economic status, fertility intention, and awareness of family planning methods on the use of modern contraceptives. Also, women who perceived support from someone in the community on family planning were more likely to use modern contraceptive unlike those without such support. Those who believed that contraceptive methods are used by almost all and some of their friends or relatives were more likely to use modern contraceptive compared to those who think otherwise.ConclusionsThe study shows the need to reduce inequalities between FP utilization across women with different socio-economic status as well as increasing the awareness for modern contraceptive methods.

The roles of social economic status and undernutrition in regional disparities of the under‐five mortality rate in Vietnam

From 2005 to 2017, the prevalence of mortality in Vietnamese children under five years old showed large regional disparities. In 2017, mortality in the wealthiest region was 12.6‰, whereas the most disadvantaged region it was three times as high, at 36‰. This study aims to identify factors affecting regional disparities of the under-five mortality rate (U5MR) in Vietnam. We applied Structural Equation Modelling to estimate the degree and the pathway through which undernutrition and socio-economic status (SES) contributed to the under-five mortality disparities. SES is estimated as a common latent factor of three socio-economic measures, that is, education, poverty and income. The direct effect of SES on U5MR is at 2.16 through the underweight pathway, which is 5 times higher than the effect of underweight on U5MR. Through the stunting channel, this direct impact is 1.43, nearly twice as high as the impact of the stunting rate. SES also has an indirect effect on U5MR through these undernutrition pathways. In total, we estimate that an increase in SES index will make the U5MR increase by 2.73‰. Among the three indicators of SES, poverty conveys the strongest signal of a considerable change in SES, thus to a subsequent change in U5MR. Among two types of undernutrition, the effect of stunting on U5MR is dominant, more than 3 times as high as that of underweight. These findings have important implications for socio-economic and health interventions: those that strongly focus on the reduction of regional poverty and stunting rates would be effective in bridging the regional gap in the U5MR in Vietnam.

Risk factors of child mortality in Ethiopia: Application of multilevel two-part model

The child mortality rate is an essential measurement of socioeconomic growth and the quality of life in Ethiopia which is one among the six countries that account for half of the global under-five deaths. Therefore, this study aimed to identify the potential risk factors for child mortality in Ethiopia. Data for the study was drawn from the Ethiopian Demographic and Health Survey data conducted in 2016. A two-part random effects regression model was employed to identify the associated predictors of child mortality. The study found that 53.3% of mothers did not face any child death, while 46.7% lost at least one. Vaccinated child (IRR = 0.735, 95%CI: 0.647, 0.834), were currently using contraceptive (IRR = 0.885, 95%CI: 0.814, 0.962), who had antenatal care visit four or more times visit (IRR = 0.841, 95%CI: 0.737,0.960), fathers whose level of education is secondary or above(IRR = 0.695, 95%CI: 0.594, 0.814), mothers who completed their primary school(IRR = 0.785, 95%CI: 0.713, 0.864), mothers who have birth interval greater than 36 months (IRR = 0.728, 95%CI: 0.676, 0.783), where the age of the mother at first birth is greater than 16 years(IRR = 0.711, 95%CI: 0.674, 0.750) associated with the small number of child death. While multiple births (IRR = 1.355, 95%CI: 1.249, 1.471, four and above birth order (IRR = 1.487, 95%CI: 1.373, 1.612) and had working father (IRR = 1.125, 95%CI: 1.049, 1.206) associated with a higher number of child death. The variance components for the random effects showed significant variation of child mortality between enumeration areas. Policies and programs aimed at addressing enumeration area variations in child mortality need to be formulated and their implementation must be strongly pursued. Efforts are also needed to extend educational programmers aimed at educating mothers on the benefits of the antenatal checkup before first birth, spacing their birth interval, having their child vaccinated, and selecting a safe place of delivery to reduce child mortality.

NIGHT LIGHTS IN ECONOMICS: SOURCES AND USES1

AbstractNight lights, as detected by satellites, are increasingly used by economists, typically as a proxy for economic activity. The growing popularity of these data reflects either the absence, or the presumed inaccuracy, of more conventional economic statistics, like national or regional GDP. Further growth in use of night lights is likely, as they have been included in the AidData geoquery tool for providing subnational data, and in geographic data that the Demographic and Health Survey links to anonymized survey enumeration areas. Yet, this ease of obtaining night lights data may lead to inappropriate use, if users fail to recognize that most of the satellites providing these data were not designed to assist economists, and have features that may threaten validity of analyses based on these data, especially for temporal comparisons, and for small and rural areas. In this paper, we review sources of satellite data on night lights, discuss issues with these data, and survey some of their uses in economics.

Identifying geographical heterogeneity of pulmonary tuberculosis in southern Ethiopia: a method to identify clustering for targeted interventions

ABSTRACT Background Previous studies from Ethiopia detected disease clustering using broader geographic settings, but limited information exists on the spatial distribution of the disease using residential locations. An assessment of predictors of spatial variations of TB at community level could fill the knowledge gaps, and helps in devising tailored interventions to improve TB control. Objective To assess the pattern of spatial distribution of pulmonary tuberculosis (PTB) based on geographic locations of individual cases in the Dale district and Yirga Alem town in southern Ethiopia. Methods The socio-demographic characteristics of PTB cases were collected using a structured questionnaire, and spatial information was collected using geographic position systems. We carried out Getis and Ord (Gi*) statistics and scan statistics to explore the pattern of spatial clusters of PTB cases, and geographically weighted regression (GWR) was used to assess the spatial heterogeneities in relationship between predictor variables and PTB case notification rates (CNRs). Results The distribution of PTB varied by enumeration areas within the kebeles, and we identified areas with significant hotspots in various areas ineach year. In GWR analysis, the disease distribution showed a geographic heterogeneity (non-stationarity) in relation to physical access (distance to TB control facilities) and population density (AICc = 5591, R2 = 0.3359, adjusted R2 = 0.2671). The model explained 27% of the variability in PTB CNRs (local R2 ranged from 0.0002–0.4248 between enumeration areas). The GWR analysis showed that areas with high PTB CNRs had better physical accessibility to TB control facilities and high population density. The effect of physical access on PTB CNRs changed after the coverage of TB control facilities was improved. Conclusion We report a varying distribution of PTB in small and different areas over 10 years. Spatial and temporal analysis of disease distribution can be used to identify areas with a high burden of disease and predictors of clustering, which helps in making policy decisions and devising targeted interventions.

Factors Associated with U5M in the Afar Region of Ethiopia

Background. Ethiopia has experienced a significant reduction of under-five mortality over the past few decades. But still, the country is far from the Sustainable Development Goals (SDGs) of 2030. This study aims to identify the potential associated factors of under-five mortality in the Afar region, Ethiopia. Methods. Data from a national representative cross-sectional survey of Ethiopian Demographic and Health Survey of the year 2016 were used. Data were collected from the population of all under-five children in randomly selected enumeration areas of the Afar region of Ethiopia. Chi-squared and binary logistic regression analyses were employed. Results. The result revealed that twin child [(AOR = 5.37; 95%CI: 2.12–13.62)], age of mothers at first birth [(AOR = 0.47; 95%CI: 0.35–0.62) of greater than 16], current breastfeeders (AOR = 0.41; 95%CI: 0.32–0.54), rural residents (AOR: 2.54; 95%CI: 2.49–2.58), used current contraceptive methods (AOR = 0.38; 95%CI: 0.15–0.94), vaccinated the child (AOR = 0.40; 95%CI: 0.27–0.59), family size [(AOR = 0.65; 95%CI: 0.41–0.92) for 4–6 household members and (AOR = 0.49; 95%CI: 0.29–0.80) for seven and more household members], rich households (AOR = 0.03; 95%CI: 0.01–0.16), mother’s age group [(AOR = 3.24; 95%CI: 1.90–5.54) (age 20–29), (AOR = 12.43; 95%CI: 6.86–22.51) (age 30–39), and (AOR = 46.31; 95%CI: 21.74–98.67) (age 40 and above), and antenatal visits ((AOR = 0.48; 95%CI: 0.31–0.74) (1–3 visits) and (AOR = 0.44; 95%CI: 0.24–0.81) (4 and more visits)) significantly determined the under-five mortality. Conclusions. The study showed that giving birth at an early age, low coverage and quality of health access, unimproved breastfeeding culture, nonaccessibility to contraceptive methods, absence of awareness of mothers on vaccination of a child, low economic status of households, and low status of mothers’ antenatal visits lead to the highest under-five mortality in the area. Therefore, community-based educational programs and public health interventions focused on improving the survival of children by providing awareness to the community and specifically to mothers should be improved.

Effect of intimate partner violence of women on minimum acceptable diet of children aged 6\u201323\u2009months in Ethiopia: evidence from 2016 Ethiopian demographic and health survey

BackgroundThe absence of proper infant and young child feeding practice results in malnutrition. Intimate Partner Violence (IPV) is potentially a major factor affecting child feeding practices. However, there is limited evidence about the effect of intimate partner violence (IPV) on a minimum acceptable diet. Therefore, in this study, we hypothesized that IPV will be associated with a lack of a minimum acceptable diet among children aged 6–23 months.MethodsWe conducted a cross-sectional analysis using the Ethiopian Demographic and Health Survey (EDHS) 2016. All child-mother pairs that participated in EDHS 2016 from all regions of Ethiopia were included. The analysis included mother-child pairs where 6–23 months aged children with mothers who were ever in a committed partnership and interviewed for domestic violence were involved. The data were weighted considering enumeration areas as a cluster and place of residence as a stratum. A binary logistic regression analysis was done to identify factors independently associated with a minimum acceptable diet.ResultTotally, 1307 observations were included in the final analysis. The mean age of mothers was 29 years (standard deviation ±6.54 years), the mean age of children was 14. ± 5.02 months, and 32% of women had intimate partner violence (IPV). Of the children, 8% had a minimum acceptable diet (minimum acceptable diet), 15% had a minimum dietary diversity, and 43% had a minimum meal frequency. Having intimate partner violence decreases children minimum acceptable diet by 65% (AOR: 0.35; 95% CI: 0.16, 0.77). The other factors associated with the minimum acceptable diet were caregivers attaining a secondary level of education (AOR: 4.01; 95% CI: 1.04, 15.45), currently working (AOR: 2.26; 95% CI: 1.01, 5.11), and undecided fertility desire (AOR: 4.72; 95% CI: 1.37, 16.28).ConclusionIntimate partner violence against women had a negative association with the minimum acceptable diet children have received. Decreasing violence against women, educating, and increasing work opportunities for them would help in improving child feeding practice and reducing malnutrition and its consequences. Further studies that focus on possible community-based interventions aiming to decrease IPV are recommended.

Smoking Intensity and Associated Factors among Male Smokers in Ethiopia: Further Analysis of 2016 Ethiopian Demographic and Health Survey.

Background Smoking invariably has health, social, economic, and environmental consequences in Ethiopia. Reducing and quitting cigarette smoking improves individual health and increases available household funds for food, education, and better economic productivity. Therefore, this study is aimed at assessing cigarette smoking intensity and associated factors among male smokers in Ethiopia. Methods The data were extracted from the 2016 national cross-sectional Ethiopian Demographic and Health Survey. Our study used data from the standardized and adapted men's questionnaire. The study included a total of 391 (weighted) smokers who at least smoked one manufactured cigarette per day. The data were collected using a two-stage cluster design which includes selection of enumeration areas and then selection of households. The number of manufactured cigarettes smokers smoked per day was used to measure smoking intensity. Descriptive statistics were used to summarize the study findings. Bivariable and multivariable truncated negative binomial Poisson regression models were employed to determine smoking intensity. Results The finding showed that on average men smoked weighted nine cigarettes per day. One in every five of the smokers (21.2%) smoked 10 cigarettes per day. Smokers living in rural areas (IRR = 0.43, 95% CI: 0.244, 0.756), currently married (IRR = 0.64, 95% CI: 0.46, 0.91), formerly married (IRR = 0.54, 95% CI: 0.30, 0.96), richer men (IRR = 0.63, 95% CI: 0.43, 0.90), and richest men (IRR = 0.49, 95% CI: 0.28, 0.87) were associated with lower smoking intensity. Smokers in the Somali (IRR = 2.80, 95% CI: 1.29, 6.11), Harari (IRR = 3.46, 95% CI: 1.14, 10.51), and Dire Dawa (IRR = 3.09, 95% CI: 1.23, 7.80) regions; older age (IRR = 1.77, 95% CI: 1.31, 2.40); affiliated with Protestant religion (IRR = 1.81, 95% CI: 1.12, 2.92); poorer men (IRR = 1.64, 95% CI: 1.19, 2.27); watched television (IRR = 1.18, 95% CI: 1.04, 1.35); drunk alcohol (IRR = 1.37, 95% CI: 1.03, 1.82); and completed primary (IRR = 1.15, 95% CI: 1.01, 0.317) and higher education (IRR = 2.96, 95% CI: 1.88, 4.67) were positively associated with smoking intensity. Conclusion Male smokers in Ethiopia smoked intensively with an average of nine manufactured cigarettes per day. Tobacco control interventions should target the following: Eastern Ethiopia regions, older aged, affiliated with Protestant religion, poorer men, watched television, drunk alcohol, and primary and higher educational level.

Submicroscopic malaria infection is not associated with fever in cross-sectional studies in Malawi

BackgroundSubmicroscopic Plasmodium falciparum infections are widespread in many areas. However, the contribution of these infections to symptomatic malaria is not well understood. This study evaluated whether participants with submicroscopic P. falciparum infections have higher prevalence of fever than uninfected participants in southern Malawi.MethodsA total of 16,650 children and adults were enrolled in the course of six cross-sectional surveys during the dry season (October–November) and after the rainy season (April–May) between 2012 and 2014 in three districts in southern Malawi. Demographic and socioeconomic data were collected in conjunction with data on clinical histories, use of malaria preventive measures, and anti-malarial medication taken within 2 weeks of the survey. Axillary temperatures were measured, and blood samples were collected for P. falciparum detection by microscopy and PCR. Participants without malaria parasites detected on microscopy but with a positive PCR for P. falciparum were defined as having submicroscopic infection. Fever was defined as having any one of: reported fever in the past 2 weeks, reported fever in the past 48 h, or a temperature of ≥ 37.5 °C measured at the time of interview.ResultsSubmicroscopic P. falciparum infections and fever were both detected in 9% of the study population. In the final analysis adjusted for clustering within household and enumeration area, having submicroscopic P. falciparum infection was associated with reduced odds of fever in the dry season (odds ratio = 0.52; 95% CI 0.33–0.82); the association in the rainy season did not achieve statistical significance (odds ratio = 1.20; 95% CI 0.91–1.59). The association between submicroscopic infection and fever was consistent across all age groups. When the definition of fever was limited to temperature of ≥ 37.5 °C measured at the time of interview, the association was not statistically significant in either the rainy or dry season.ConclusionsIn this series of cross-sectional studies in southern Malawi, submicroscopic P. falciparum infection was not associated with increased risk of fever. Submicroscopic detection of the malaria parasite is important in efforts to decrease transmission but is not essential for the clinical recognition of malaria disease.

Do people accurately report droughts? Comparison of instrument-measured and national survey data in Kenya

We evaluate the agreement between drought perceptions of two nationally representative samples of Kenyans (2014 and 2018) and instrument-measured rainfall and vegetation (IMRV) change. Our work adds to a growing body of research designed to evaluate people’s awareness and understanding of climate change and global warming. Relatively few existing studies in the developing world validate weather perceptions against meteorological observations, despite heavy reliance among these populations on rainfed agriculture and the importance of effective adaptation strategies for household livelihoods. We find a strong positive relationship between IMRV data and reporting among the 175 survey enumeration areas for 2800 respondents. Ours is the first study to establish such a definitive result using a research design that minimizes the effects of anomalous weather in any single year. Researchers who rely upon reported historical weather conditions can thus be more assured that their fieldwork informants recollect weather accurately. This awareness of recent changes in weather should facilitate the implementation of policies designed to mitigate long-term climate change impacts in sub-Saharan Africa.

Hotspots of unimproved sources of drinking water in Ethiopia: mapping and spatial analysis of Ethiopia demographic and health survey Data 2016

BackgroundMore than 35% of the Ethiopian population are using drinking water from unimproved sources. As per the United Nations’ Sustainable Development Goals, Ethiopia is aspiring to achieve universal and equitable access to safe and affordable drinking water for all by 2030. For these goals to be accomplished, it is important to map the country’s hotspot areas of unimproved source of drinking-water so that resource allocation and disease control can be optimized there. Therefore, the objective of this study is to map and identify hotspot areas of unimproved sources of drinking water in Ethiopia.MethodsA population based cross-sectional study was conducted in Ethiopia from January 18 to June 27, 2016. Data were collected from 10,064 households using a pretested and structured questionnaire. A stratified two-stage cluster sampling was employed where the enumeration areas were primary sampling units and households were secondary sampling units. Systematic sampling with probability proportional to size was employed to select samples. Datasets were cleaned and entered into SaTScan and ArcGIS software for mapping and analysis. The Global Moran’s I and spatial scan statistical tests (Bernoulli model) were done to explore the presence of clustering in the study area and local spatial clusters (hotspots) of unimproved sources of drinking water using ArcGIS version 10.3 and Kuldorff’s SaTScan version 9.4 software, respectively.ResultsUnimproved sources of drinking water were spatially clustered in the study area (Moran’s I: 0.35, p < 0.05). A total of 143 significant clusters was identified. Of which, eight were most likely (primary) clusters and the other 135 were secondary clusters. The first spatial window which contains primary clusters was located in Amhara and Afar regions (LLR: 78.89, at p < 0.001). The other 33 spatial windows which contain secondary clusters were found in all regions, except Gambela region and Addis Abeba city administration (with a range of LLR: 10.09–78.89, p < 0.001).ConclusionsThis study allowed the identification of important non-random clusters and hotspots of unimproved sources of drinking water. Therefore, these results will be determinant to help decision makers in their geographical interventions to combat problems related to drinking water quality.

Assessing Community Health Information Systems: Evidence from Child Health Records in Food Insecure Areas of the Ethiopian Highlands

ObjectivesThis study assessed the completeness of child health records maintained and collected within community health information system in Ethiopia.MethodsA household listing was carried out in 221 enumeration areas in food insecure areas of Ethiopia to determine the presence of a child less than 24-months. This list of children was then compared against the information stored at the local health posts. A household survey was administered to a sample of 2155 households that had a child less than 24-months of age to assess determinants and consequences of exclusion from the health post registers.ResultsOut of the 10,318 children identified during the listing, 36% were found from the health post records. Further analysis based on the household survey data indicated that health posts that had adopted nationally recommended recordkeeping practices had more complete records (p < 0.01) and that children residing farther from health posts were less likely to be found from the registers (p < 0.05). Mothers whose child was found from the registers were more likely to know a health extension worker (p < 0.01), had a contact with one (p < 0.01), and their child was more likely to have received growth monitoring (p < 0.05).Conclusions for PracticeThe incompleteness of the data collected at the health posts poses a challenge for effective implementation of the national health extension program and various complementary programs in Ethiopia.

Quantile regression approach to estimating prevalence and determinants of child malnutrition

Child malnutrition is also associated with higher incidence of morbidity and mortality. Therefore, it is imperative to have knowledge of its correlates and determinants. The objective of this paper is to examine the association between demographic and socioeconomic factors and child nutritional status in Bangladesh. A secondary data analysis was conducted using the 2014 Bangladesh Demographic and Health Survey data. The surveys used a stratified two-stage cluster sampling. In the first stage, 600 enumeration areas (EAs) were selected with probability proportional to the EA size. In the second stage of selection, a fixed number of 30 households per cluster will be selected with an equal probability systematic selection from the household listing. The sample constitutes 17,886 ever-married women age 15–49, with 34.38% and 65.62% from urban and rural areas respectively. The anthropometric indicators height-for-age, weight-for-age and weight-for-height z-scores were used as the primary and secondary outcome measures. Results show that age and birth order of child is negatively associated with height-for-age, weight-for-age, and weight-for-height z-scores. However, the size of the child at birth is positively allied with the three anthropometric indicators. Mothers’ BMI and educational level are positively connected with the nutrition z-scores, but these factors have differential effects at different points of the conditional distribution of the anthropometric z-scores. Moreover, the economic status of a family is an essential factor in determining the z-score of height-for-age, weight-for-age, and weight-for-height of a child. The age, size of child at birth, mother’s BMI and educational status, and wealth index are very important determinants of the z-score of the anthropometric indicators of a child. In order to improve the nutritional status of children in Bangladesh, the authors suggest that a joint effort by the government, non-governmental organizations, and the community is absolutely essential.

Exploring geographical variations and inequalities in access to improved water and sanitation in Ethiopia: mapping and spatial analysis

Ensuring access to improved water and sanitation remains a public health challenge in Ethiopia. Exploring access to improved drinking-water supply and sanitation will help to track the progress towards achieving the Sustainable Development Goals. The aim of this study was to explore geographical variations and inequalities in access to improved drinking water and sanitation in Ethiopia. A total of 16,650 households from 643 enumeration areas of the recent Ethiopian Demographic and Health Survey 2016 data were extracted and included in the analysis. World Health Organization recommended definitions were used to measure indicators of improved drinking water and sanitation at enumeration areas. SaTScan™ software was used for spatial analysis using enumeration areas as centers for exploring geographical variations of improved water and sanitation. Absolute and relative inequalities were used to quantify regional inequalities in access to improved water and sanitation. Nationwide access to improved drinking water and sanitation in Ethiopia was 49.6% (95% CI: 48.4–50.7) and 6.3% (5.8–6.8), respectively, with large variations between and within regions (using the categories and definitions that were in effect for monitoring coverage in 2016). Access to improved drinking water ranged from 28.5% in Somali Region to 95.3% in Addis Ababa city whereas access to improved sanitation ranged from 1.7% in Amhara Region to 24% in Dire Dawa city. Households lacking access to improved water and sanitation were clustered in northern (Amhara Region) and southern (Southern Nations, Nationalities, and Peoples' Region) parts of Ethiopia. Most enumeration areas had very low level of access to improved drinking water and/or sanitation. This analysis demonstrated the existence of geographical variations and inequalities in access to improved drinking water and sanitation in Ethiopia. Therefore strategies to improve access for safe drinking water and sanitation should consider geographical variations and inequalities at a subnational scale.

Effectiveness of reactive focal mass drug administration and reactive focal vector control to reduce malaria transmission in the low malaria-endemic setting of Namibia: a cluster-randomised controlled, open-label, two-by-two factorial design trial

SummaryBackgroundIn low malaria-endemic settings, screening and treatment of individuals in close proximity to index cases, also known as reactive case detection (RACD), is practised for surveillance and response. However, other approaches could be more effective for reducing transmission. We aimed to evaluate the effectiveness of reactive focal mass drug administration (rfMDA) and reactive focal vector control (RAVC) in the low malaria-endemic setting of Zambezi (Namibia).MethodsWe did a cluster-randomised controlled, open-label trial using a two-by-two factorial design of 56 enumeration area clusters in the low malaria-endemic setting of Zambezi (Namibia). We randomly assigned these clusters using restricted randomisation to four groups: RACD only, rfMDA only, RAVC plus RACD, or rfMDA plus RAVC. RACD involved rapid diagnostic testing and treatment with artemether-lumefantrine and single-dose primaquine, rfMDA involved presumptive treatment with artemether-lumefantrine, and RAVC involved indoor residual spraying with pirimiphos-methyl. Interventions were administered within 500 m of index cases. To evaluate the effectiveness of interventions targeting the parasite reservoir in humans (rfMDA vs RACD), in mosquitoes (RAVC vs no RAVC), and in both humans and mosquitoes (rfMDA plus RAVC vs RACD only), an intention-to-treat analysis was done. For each of the three comparisons, the primary outcome was the cumulative incidence of locally acquired malaria cases. This trial is registered with ClinicalTrials.gov, number NCT02610400.FindingsBetween Jan 1, 2017, and Dec 31, 2017, 55 enumeration area clusters had 1118 eligible index cases that led to 342 interventions covering 8948 individuals. The cumulative incidence of locally acquired malaria was 30·8 per 1000 person-years (95% CI 12·8–48·7) in the clusters that received rfMDA versus 38·3 per 1000 person-years (23·0–53·6) in the clusters that received RACD; 30·2 per 1000 person-years (15·0–45·5) in the clusters that received RAVC versus 38·9 per 1000 person-years (20·7–57·1) in the clusters that did not receive RAVC; and 25·0 per 1000 person-years (5·2–44·7) in the clusters that received rfMDA plus RAVC versus 41·4 per 1000 person-years (21·5–61·2) in the clusters that received RACD only. After adjusting for imbalances in baseline and implementation factors, the incidence of malaria was lower in clusters receiving rfMDA than in those receiving RACD (adjusted incidence rate ratio 0·52 [95% CI 0·16–0·88], p=0·009), lower in clusters receiving RAVC than in those that did not (0·48 [0·16–0·80], p=0·002), and lower in clusters that received rfMDA plus RAVC than in those receiving RACD only (0·26 [0·10–0·68], p=0·006). No serious adverse events were reported.InterpretationIn a low malaria-endemic setting, rfMDA and RAVC, implemented alone and in combination, reduced malaria transmission and should be considered as alternatives to RACD for elimination of malaria.FundingNovartis Foundation, Bill & Melinda Gates Foundation, and Horchow Family Fund.

Using gridded population and quadtree sampling units to support survey sample design in low-income settings

BackgroundHousehold surveys are the main source of demographic, health and socio-economic data in low- and middle-income countries (LMICs). To conduct such a survey, census population information mapped into enumeration areas (EAs) typically serves a sampling frame from which to generate a random sample. However, the use of census information to generate this sample frame can be problematic as in many LMIC contexts, such data are often outdated or incomplete, potentially introducing coverage issues into the sample frame. Increasingly, where census data are outdated or unavailable, modelled population datasets in the gridded form are being used to create household survey sampling frames.MethodsPreviously this process was done by either sampling from a set of the uniform grid cells (UGC) which are then manually subdivided to achieve the desired population size, or by sampling very small grid cells then aggregating cells into larger units to achieve a minimum population per survey cluster. The former approach is time and resource-intensive as well as results in substantial heterogeneity in the output sampling units, while the latter can complicate the calculation of unbiased sampling weights. Using the context of Somalia, which has not had a full census since 1987, we implemented a quadtree algorithm for the first time to create a population sampling frame. The approach uses gridded population estimates and it is based on the idea of a quadtree decomposition in which an area successively subdivided into four equal size quadrants, until the content of each quadrant is homogenous.ResultsThe quadtree approach used here produced much more homogeneous sampling units than the UGC (1 × 1 km and 3 × 3 km) approach. At the national and pre-war regional scale, the standard deviation and coefficient of variation, as indications of homogeneity, were calculated for the output sampling units using quadtree and UGC 1 × 1 km and 3 × 3 km approaches to create the sampling frame and the results showed outstanding performance for quadtree approach.ConclusionOur approach reduces the manual burden of manually subdividing UGC into highly populated areas, while allowing for correct calculation of sampling weights. The algorithm produces a relatively homogenous population counts within the sampling units, reducing the variation in the weights and improving the precision of the resulting estimates. Furthermore, a protocol of creating approximately equal-sized blocks and using tablets for randomized selection of a household in each block mitigated potential selection bias by enumerators. The approach shows labour, time and cost-saving and points to the potential use in wider contexts.