Neonatal and Postneonatal Death Clustering Among Siblings in Bangladesh: Evidence from Bangladesh Demographic and Health Survey 2017–2018

2021 ◽  
pp. 003022282110666
Author(s):  
Ronak Paul ◽  
Rashmi Rashmi ◽  
Shobhit Srivastava
Keyword(s):  
Health Survey ◽  
Mortality Risk ◽  
Early Life ◽  
Intraclass Correlation ◽  
Demographic And Health Survey ◽  
Postneonatal Mortality ◽  
Mortality Hazard ◽  
Random Intercept ◽  
The Family ◽  
Death Clustering

Despite knowledge of neonatal and postneonatal mortality determinants in Bangladesh, some families continue to lose a larger share of children, a phenomenon known as early-life mortality clustering. This study uses the random intercept Weibull survival regression model to explore the correlation of mortality risk among siblings at the family (or, mother) and community levels. Utilizing the Bangladesh Demographic and Health Survey 2017–2018, we found evidence of death scarring, where children whose previous sibling was not alive at the time of conception had significantly higher odds of neonatal mortality. Moreover, the neonatal (and postneonatal) mortality hazard was highest for children with a birth interval of fewer than 19 months, corresponding to the preceding sibling. The intraclass correlation coefficient's statistically significant values show that neonatal and postneonatal mortality risk is correlated among children of the same family and community. The findings suggest focusing on high-risk families and communities to reduce the mortality level effectively.

scholarly journals THE The Increase of Drop Out Rate on Contraceptives Usage in Central Sulawesi (Raw Data Analysis of 2017 Indonesian Demographic and Health Survey (IDHS))

2020 ◽  
Vol 9 (2) ◽  
pp. 1495-1503
Author(s):  
Surayya Surayya ◽  
Dyah Fitria Kartika Sari ◽  
Budiman Jaya
Keyword(s):  
Family Planning ◽  
Health Survey ◽  
Family Planning Program ◽  
Demographic And Health Survey ◽  
Drop Out ◽  
Contraceptive Usage ◽  
Drop Out Rate ◽  
Periodic Abstinence ◽  
The Family ◽  
Central Sulawesi

This study discusses the increase of drop out rate on contraceptives usage and its various underlying factors in the use of family planning in Central Sulawesi as one of many phenomena that occurs in the community.  Logistic regression results of 2017 Indonesian Demographic and Health Survey on contraceptives usage data showed that injection had the highest drop out rate (31.9%), followed by Pills (11.9%), coitus interruptus (4%), and implant (2.4%). Some contraceptives methods that had below 2% drop out rate are periodic abstinence (1.8%), male condoms (1.3%), IUD (1%), LAM method (0.5%) and other traditional methods (0.3%). The high drop out rate of contraceptive usage will affect the continuity of the Family Planning program.

scholarly journals Social inequalities in low birthweight outcomes in Sri Lanka: evidence from the Demographic and Health Survey 2016

BMJ Open ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. e037223
Author(s):  
Gayathri Abeywickrama ◽  
Sabu S Padmadas ◽  
Andrew Hinde
Keyword(s):  
Logistic Regression ◽  
Sri Lanka ◽  
Health Survey ◽  
Low Birthweight ◽  
Social Inequalities ◽  
Demographic And Health Survey ◽  
Outcome Variable ◽  
Biological Variables ◽  
Random Intercept ◽  
Concentration Indices

ObjectiveTo investigate social inequalities underlying low birthweight (LBW) outcomes in Sri Lanka.DesignCross-sectional study.SettingThis study used the Sri Lanka Demographic and Health Survey 2016, the first such survey to cover the entire country since the Civil War ended in 2001.ParticipantsBirthweight data extracted from the child health development records available for 7713 babies born between January 2011 and the date of interview in 2016.Outcome measuresThe main outcome variable was birth weight, classified as LBW (≤2500 g) and normal.MethodsWe applied random intercept three-level logistic regression to examine the association between LBW and maternal, socioeconomic and geographic variables. Concentration indices were estimated for different population subgroups.ResultsThe population-level prevalence of LBW was 16.9% but was significantly higher in the estate sector (28.4%) compared with rural (16.6%) and urban (13.6%) areas. Negative concentration indices suggest a relatively higher concentration of LBW in poor households in rural areas and the estate sector. Results from fixed effects logistic regression models confirmed our hypothesis of significantly higher risk of LBW outcomes across poorer households and Indian Tamil communities (AOR 1.70, 95% CI 1.02 to 2.83, p<0.05). Results from random intercept models confirmed there was substantial unobserved variation in LBW outcomes at the mother level. The effect of maternal biological variables was larger than that of socioeconomic factors.ConclusionLBW rates are significantly higher among babies born in poorer households and Indian Tamil communities. The findings highlight the need for nutrition interventions targeting pregnant women of Indian Tamil ethnicity and those living in economically deprived households.

scholarly journals Predictive models and under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

2020 ◽  
Author(s):  
Fikrewold Bitew ◽  
Samuel H. Nyarko ◽  
Lloyd Potter ◽  
Corey S. Sparks
Keyword(s):  
Random Forest ◽  
Health Survey ◽  
Mortality Risk ◽  
Predictive Models ◽  
Access To Health Care ◽  
Predictive Power ◽  
Learning Algorithm ◽  
Demographic And Health Survey ◽  
Prediction Ability ◽  
Under Five

Abstract Background: There is a dearth of literature on predictive models estimating under-five mortality risk in Ethiopia. In this study, we develop a spatial map and predictive models to predict the sociodemographic determinants of under-five mortality in Ethiopia. Methods: The study data were drawn from the 2016 Ethiopian Demographic and Health Survey. We used three predictive models to predict under-five mortality within this sample. The three techniques are random forests, logistic regression, and k-nearest neighbors For each model, measures of model accuracy and Receiver Operating Characteristic curves are used to evaluate the predictive power of each model. Results: There are considerable regional variations in under-five mortality rates in Ethiopia. The under-five mortality prediction ability was found to be moderate to low for the models considered, with the random forest model showing the best performance. Maternal age at birth, sex of a child, previous birth interval, water source, health facility delivery services, antenatal and post-natal care checkups, breastfeeding behavior and household size have been found to be significantly associated with under-five mortality in Ethiopia. Conclusions: The random forest machine learning algorithm produces a higher predictive power for under-five mortality risk factors for the study sample. There is a need to improve the quality and access to health care services to enhance childhood survival chances in the country.

scholarly journals Predictive models and under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey

2020 ◽  
Author(s):  
Fikrewold Bitew ◽  
Samuel H. Nyarko ◽  
Lloyd Potter ◽  
Corey S. Sparks
Keyword(s):  
Random Forest ◽  
Health Survey ◽  
Mortality Risk ◽  
Predictive Models ◽  
Access To Health Care ◽  
Predictive Power ◽  
Learning Algorithm ◽  
Demographic And Health Survey ◽  
Prediction Ability ◽  
Under Five

Abstract Background: There is a dearth of literature on predictive models estimating under-five mortality risk in Ethiopia. In this study, we develop a spatial map and predictive models to predict the sociodemographic determinants of under-five mortality in Ethiopia. Methods: The study data were drawn from the 2016 Ethiopian Demographic and Health Survey. We used three predictive models to predict under-five mortality within this sample. The three techniques are random forests, logistic regression, and k-nearest neighbors For each model, measures of model accuracy and Receiver Operating Characteristic curves are used to evaluate the predictive power of each model. Results: There are considerable regional variations in under-five mortality rates in Ethiopia. The under-five mortality prediction ability was found to be moderate to low for the models considered, with the random forest model showing the best performance. Maternal age at birth, sex of a child, previous birth interval, water source, health facility delivery services, antenatal and post-natal care checkups, breastfeeding behavior and household size have been found to be significantly associated with under-five mortality in Ethiopia. Conclusions: The random forest machine learning algorithm produces a higher predictive power for under-five mortality risk factors for the study sample. There is a need to improve the quality and access to health care services to enhance childhood survival chances in the country.

The Dupont family: collectors, dealers and naturalists in nineteenth-century Paris

2016 ◽  
Vol 43 (2) ◽  
pp. 191-207 ◽  
Author(s):  
Richard Mearns ◽  
Laurent Chevrier ◽  
Christophe Gouraud
Keyword(s):  
Nineteenth Century ◽  
Family History ◽  
Natural History ◽  
North Africa ◽  
Special Interest ◽  
Early Life ◽  
Anatomical Models ◽  
The Family ◽  
Small Collection

In the early part of the nineteenth century the Dupont brothers ran separate natural history businesses in Paris. Relatively little is known about their early life but an investigation into the family history at Bayeux corrects Léonard Dupont's year of birth from 1795 to 1796. In 1818 Léonard joined Joseph Ritchie's expedition to North Africa to assist in collecting and preparing the discoveries but he did not get beyond Tripoli. After 15 months he came back to Paris with a small collection from Libya and Provence, and returned to Provence in 1821. While operating as a dealer-naturalist in Paris he published Traité de taxidermie (1823, 1827), developed a special interest in foreign birds and became well known for his anatomical models in coloured wax. Henry Dupont sold a range of natural history material and with his particular passion for beetles formed one of the finest collections in Europe; his best known publication is Monographie des Trachydérides (1836–1840). Because the brothers had overlapping interests and were rarely referred to by their forenames there has been confusion between them and the various eponyms that commemorate them. Although probably true, it would be an over-simplification to state that birds of this era named for Dupont refer to Léonard Dupont, insects to Henry Dupont, and molluscs to their mother.

Low Birth Weight in Ethiopia: A Multi-Level Analysis of 2016 Ethiopian Demographic and Health Survey

2020 ◽  
Author(s):  
Addisu Alehegn Alemu ◽  
Liknaw Bewket Zeleke ◽  
Bewket Aynalem ◽  
Melaku Desta ◽  
Eskeziaw Abebe Kasahun ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Health Survey ◽  
Demographic And Health Survey ◽  
Multi Level ◽  
Level Analysis
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