scholarly journals Spatial Modelling to Inform Public Health Based on Health Surveys: Impact of Unsampled Areas at Lower Geographical Scale

2020 ◽  
Vol 17 (3) ◽  
pp. 786
Author(s):  
Kevin Watjou ◽  
Christel Faes ◽  
Yannick Vandendijck
Keyword(s):  
Public Health ◽  
Health Surveys ◽  
Social Impact ◽  
Impact Analysis ◽  
School Attendance ◽  
Auxiliary Information ◽  
Spatial Modelling ◽  
Population Characteristics ◽  
Demographic And Health Surveys ◽  
Governmental Organizations

Small area estimation is an important tool to provide area-specific estimates of population characteristics for governmental organizations in the context of education, public health and care. However, many demographic and health surveys are unrepresentative at a small geographical level, as often areas at a lower level are not included in the sample due to financial or logistical reasons. In this paper, we investigated (1) the effect of these unsampled areas on a variety of design-based and hierarchical model-based estimates and (2) the benefits of using auxiliary information in the estimation process by means of an extensive simulation study. The results showed the benefits of hierarchical spatial smoothing models towards obtaining more reliable estimates for areas at the lowest geographical level in case a spatial trend is present in the data. Furthermore, the importance of auxiliary information was highlighted, especially for geographical areas that were not included in the sample. Methods are illustrated on the 2008 Mozambique Poverty and Social Impact Analysis survey, with interest in the district-specific prevalence of school attendance.

scholarly journals Using DHS and MICS data to complement or replace NGO baseline health data: an exploratory study

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 69
Author(s):  
Peter R. Berti ◽  
Milena Nardocci ◽  
Minh Hung Tran ◽  
Malek Batal ◽  
Rebecca Brodmann ◽  
...  
Keyword(s):  
Health Surveys ◽  
Social Indicators ◽  
Absolute Difference ◽  
Baseline Survey ◽  
Demographic And Health Surveys ◽  
Government Organizations ◽  
Governmental Organizations ◽  
Non Governmental Organizations ◽  
Multiple Indicator ◽  
Yield Difference

Background: Non-government organizations (NGOs) spend substantial time and resources collecting baseline data in order to plan and implement health interventions with marginalized populations. Typically interviews with households, often mothers, take over an hour, placing a burden on the respondents. Meanwhile, estimates of numerous health and social indicators in many countries already exist in publicly available datasets, such as the Demographic and Health Surveys (DHS) and the Multiple Indicator Cluster Surveys (MICS), and it is worth considering whether these could serve as estimates of baseline conditions. The objective of this study was to compare indicator estimates from non-governmental organizations (NGO) health projects’ baseline reports with estimates calculated using the Demographic and Health Surveys (DHS) or the Multiple Indicator Cluster Surveys (MICS), matching for location, year, and season of data collection. Methods: We extracted estimates of 129 indicators from 46 NGO baseline reports, 25 DHS datasets and three MICS datasets, generating 1,996 pairs of matched DHS/MICS and NGO indicators. We subtracted NGO from DHS/MICS estimates to yield difference and absolute difference, exploring differences by indicator. We partitioned variance of the differences by geographical level, year, and season using ANOVA. Results: Differences between NGO and DHS/MICS estimates were large for many indicators but 33% fell within 5% of one another. Differences were smaller for indicators with prevalence <15% or >85%. Difference between estimates increased with increasing year and geographical level differences. However, <1% of the variance of the differences was explained by year, geographical level, and season. Conclusions: There are situations where publicly available data could complement NGO baseline survey data, most importantly when the NGO has tolerance for estimates of low or unknown accuracy.

scholarly journals The Forgotten Agenda of Wasting in Southeast Asia: Burden, Determinants and Overlap with Stunting: A Review of Nationally Representative Cross-Sectional Demographic and Health Surveys in Six Countries

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 559 ◽  
Author(s):  
Mueni Mutunga ◽  
Severine Frison ◽  
Matteo Rava ◽  
Paluku Bahwere
Keyword(s):  
Public Health ◽  
Southeast Asia ◽  
Health Problem ◽  
Health Surveys ◽  
Public Health Problem ◽  
Wealth Index ◽  
Absolute Number ◽  
Demographic And Health Surveys ◽  
Cross Sectional ◽  
Nationally Representative

Childhood wasting is among the most prevalent forms of undernutrition globally. The Southeast Asia region is home to many wasted children, but wasting is not recognized as a public health problem and its epidemiology is yet to be fully examined. This analysis aimed to determine the burden of wasting, its predictors, and the level of wasting and stunting concurrence. Datasets from Demographic and Health Surveys and Multiple Indicator Cluster Surveys in six countries in the region were analyzed. The pooled weighted prevalence for wasting and concurrent wasting and stunting among children 0–59 months in the six countries was 8.9%, 95% CI (8.0–9.9) and 1.6%, 95% CI (1.5–1.8), respectively. This prevalence is approximately 12-fold higher than the 0.7% prevalence of high-income countries; and translated into an absolute number of 1,088,747 children affected by wasting and 272,563 concurrent wasting and stunting. Wasting prevalence was 50 percent higher in the 0–23-month age group. Predictors for wasting included source of drinking water, wealth index, urban residence, child’s age and history of illness and mother’s body mass index. In conclusion, our analysis showed that wasting is a serious public health problem in the region that should be addressed urgently using both preventive and curative approaches.

Changes in demand for children between 2003 and 2013 in Nigeria: Evidence from survey data

2018 ◽  
Vol 15 (1) ◽  
pp. 16-29
Author(s):  
Stella Babalola ◽  
Joshua O. Akinyemi ◽  
Clifford O. Odimegwu
Keyword(s):  
Health Surveys ◽  
Contraceptive Use ◽  
Religious Affiliation ◽  
Large Family ◽  
Fertility Rate ◽  
Demographic And Health Surveys ◽  
High Fertility ◽  
Fertility Desire ◽  
The North ◽  
Demand For Children

Abstract Nigeria has one of the highest fertility rates in Africa. Data from 2013 Demographic and Health Surveys indicate a virtual stagnation of fertility rate since 2003. Low contraceptive use and pronatalist attitudes are among the factors contributing to the high fertility rate in Nigeria. In this manuscript, we pooled data from three most recent waves of Demographic and Health Surveys to examine trends in demand for children over time and identify the factors associated with change in demand for children. The data show that demand for children has declined since 2003 although not monotonically so. Variables that were positively associated with increased likelihood of desiring no additional children were residence in the South-West (as opposed to residence in the North-Central), exposure to family planning (FP) messages on the mass media, number of children ever born, educational level, and urban residence. In contrast, uncertainty about fertility desire was more widespread in 2008 compared to 2013 although less widespread in 2003 than in 2013. The likelihood of being undecided about fertility desire was positively associated with discrepancies in family size desires between husband and wife, parity and Islamic religious affiliation. Programs should aim to increase access to effective contraceptive methods and promote demand for contraceptives as a way of fostering a sustainable reduction in demand for children. Furthermore, strategies that address uncertainty by fostering women’s understanding of the social and health implications of large family sizes are relevant.

Human Rights in Global Health

2018 ◽  
Author(s):  
Mary Robinson
Keyword(s):  
Public Health ◽  
Human Rights ◽  
Global Health ◽  
Global Governance ◽  
World Health ◽  
Global Health Governance ◽  
Health Governance ◽  
Structural Determinants ◽  
Organizational Policies ◽  
Governmental Organizations

Institutions matter for the advancement of human rights in global health. Given the dramatic development of human rights under international law and the parallel proliferation of global institutions for public health, there arises an imperative to understand the implementation of human rights through global health governance. This volume examines the evolving relationship between human rights, global governance, and public health, studying an expansive set of health challenges through a multi-sectoral array of global organizations. To analyze the structural determinants of rights-based governance, the organizations in this volume include those international bureaucracies that implement human rights in ways that influence public health in a globalizing world. Bringing together leading health and human rights scholars and practitioners from academia, non-governmental organizations, and the United Nations system, this volume explores: (1) the foundations of human rights as a normative framework for global health governance, (2) the mandate of the World Health Organization to pursue a human rights-based approach to health, (3) the role of inter-governmental organizations across a range of health-related human rights, (4) the influence of rights-based economic governance on public health, and (5) the focus on global health among institutions of human rights governance. Contributing chapters map the distinct human rights activities within a specific institution of global governance for health. Through the comparative institutional analysis in this volume, the contributing authors examine institutional efforts to operationalize human rights in organizational policies, programs, and practices and assess institutional factors that facilitate or inhibit human rights mainstreaming for global health advancement.

scholarly journals Wasting and Associated Factors among Children under 5 Years in Five South Asian Countries (2014–2018): Analysis of Demographic Health Surveys

2021 ◽  
Vol 18 (9) ◽  
pp. 4578
Author(s):  
Nidhi Wali ◽  
Kingsley E. E. Agho ◽  
Andre M. N. Renzaho
Keyword(s):  
South Asia ◽  
South Asian ◽  
Health Surveys ◽  
Associated Factors ◽  
Common Factor ◽  
Household Wealth ◽  
Health Concern ◽  
Demographic And Health Surveys ◽  
Asian Countries ◽  
Sampling Weights

Child wasting continues to be a major public health concern in South Asia, having a prevalence above the emergency threshold. This paper aimed to identify factors associated with wasting among children aged 0–23 months, 24–59 months, and 0–59 months in South Asia. A weighted sample of 564,518 children aged 0–59 months from the most recent demographic and health surveys (2014–2018) of five countries in South Asia was combined. Multiple logistic regression analyses that adjusted for clustering and sampling weights were used to examine associated factors. Wasting prevalence was higher for children aged 0–23 months (25%) as compared to 24–59 months (18%), with variations in prevalence across the South Asian countries. The most common factor associated with child wasting was maternal BMI [adjusted odds ratio (AOR) for 0–23 months = 2.02; 95% CI: (1.52, 2.68); AOR for 24–59 months = 2.54; 95% CI: (1.83, 3.54); AOR for 0–59 months = 2.18; 95% CI: (1.72, 2.77)]. Other factors included maternal height and age, household wealth index, birth interval and order, children born at home, and access to antenatal visits. Study findings suggest need for nutrition specific and sensitive interventions focused on women, as well as adolescents and children under 2 years of age.

scholarly journals Time trends in socio-economic, urban-rural and regional disparities in prevalence of obesity among non-pregnant women in Lesotho: evidence from Lesotho demographic and health surveys (2004–2014)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Betregiorgis Zegeye ◽  
Gebretsadik Shibre ◽  
Gashaw Garedew Woldeamanuel
Keyword(s):  
Pregnant Women ◽  
Health Surveys ◽  
Educational Inequality ◽  
Statistical Significance ◽  
World Health ◽  
Demographic And Health Surveys ◽  
Obesity Prevalence ◽  
Urban Rural ◽  
Prevalence Of Obesity ◽  
Health Organization

Abstract Background The growing rates of obesity in developing countries are alarming. There is a paucity of evidence about disparities of obesity in Lesotho. This study examined socioeconomic and area-based inequalities in obesity among non-pregnant women in Lesotho. Methods Data were extracted from the 2004, 2009 and 2014 Lesotho Demographic and Health Surveys (LDHS) and analyzed through the recently updated Health Equity Assessment Toolkit (HEAT) of the World Health Organization. Obesity prevalence was disaggregated by four equity stratifiers, namely education, wealth, residence and sub-national region. For each equity stratifier, simple and complex as well as relative and absolute summary measures were calculated. A 95% confidence interval was used to measure statistical significance of findings. Results We noticed substantial wealth-driven (D = -21.10, 95% CI; − 25.94, − 16.26), subnational region (PAR = -11.82, 95%CI; − 16.09, − 7.55) and urban-rural (− 9.82, 95% CI; − 13.65, − 5.99) inequalities in obesity prevalence without the inequalities improved over time in all the studied years. However, we did not identify educational inequality in obesity. Conclusions Wealth-driven and geographical inequalities was identified in Lesotho in all the studied time periods while education related inequalities did not appear during the same time period. All population groups in the country need to be reached with interventions to reduce the burden of obesity in the country.

scholarly journals Spatial distribution and determinant factors of anemia among adults aged 15–59 in Ethiopia; using mixed-effects ordinal logistic regression model

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Biruk Shalmeno Tusa ◽  
Sewnet Adem Kebede ◽  
Adisu Birhanu Weldesenbet
Keyword(s):  
Public Health ◽  
Spatial Distribution ◽  
Scan Statistics ◽  
Moran’S I ◽  
Demographic And Health Surveys ◽  
Targeted Prevention ◽  
Hotspot Analysis ◽  
Mixed Effect ◽  
Moran's I ◽  
Determinant Factors

Abstract Background Anemia is a global public health problem, particularly in developing countries. Assessing the geographic distributions and determinant factors is a key and crucial step in designing targeted prevention and intervention programmes to address anemia. Thus, the current study is aimed to assess the spatial distribution and determinant factors of anemia in Ethiopia among adults aged 15–59. Methods A secondary data analysis was done based on 2016 Ethiopian Demographic and Health Surveys (EDHS). Total weighted samples of 29,140 adults were included. Data processing and analysis were performed using STATA 14; ArcGIS 10.1 and SaTScan 9.6 software. Spatial autocorrelation was checked using Global Moran’s index (Moran’s I). Hotspot analysis was made using Gettis-OrdGi*statistics. Additionally, spatial scan statistics were applied to identify significant primary and secondary cluster of anemia. Mixed effect ordinal logistics were fitted to determine factors associated with the level of anemia. Result The spatial distribution of anemia in Ethiopia among adults age 15–59 was found to be clustered (Global Moran’s I = 0.81, p value <  0.0001). In the multivariable mixed-effectordinal regression analysis; Females [AOR = 1.53; 95% CI: 1.42, 1.66], Never married [AOR = 0.86; 95% CI: 0.77, 0.96], highly educated [AOR = 0.71; 95% CI: 0.60, 0.84], rural residents [AOR = 1.53; 95% CI: 1.23, 1.81], rich wealth status [AOR = 0.77; 95% CI: 0.69, 0.86] and underweight [AOR = 1.15; 1.06, 1.24] were significant predictors of anemia among adults. Conclusions A significant clustering of anemia among adults aged 15–59 were found in Ethiopia and the significant hotspot areas with high cluster anemia were identified in Somalia, Afar, Gambella, Dire Dewa and Harari regions. Besides, sex, marital status, educational level, place of residence, region, wealth index and BMI were significant predictors of anemia. Therefore, effective public health intervention and nutritional education should be designed for the identified hotspot areas and risk groups in order to decrease the incidence of anemia.

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