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Results (1 - 25) of 108 Page(s): 1 2 3 4 5 Next
High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey
Author(s): Chenyang Feng, Ruixue Li, Abu Ahmed Shamim, Md Barkat Ullah, Mengjie Li, Rubee Dev, Yijing Wang, Tingting Zhao, Jing Liao, Zhicheng Du, Yuheng Ling, Yingsi Lai, and Yuantao Hao
Journal: BMC Public Health (FEB 2021) , Volume 21, Article number: 342; DOI: https://doi.org/10.1186/s12889-021-10360-4
Topic(s): Geographic Information , Maternal Health , Survey Methodology, Data Quality, Analysis
Country(s): Bangladesh
Web: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s
Individual- and Community-Level Risk Factors Associated with Childhood Diarrhea in Ethiopia: A Multilevel Analysis of 2016 Ethiopia Demographic and Health Survey
Author(s): Setegn Muche Fenta and Teshager Zerihun Nigussie
Journal: International Journal of Pediatrics (FEB 2021) , Volume 2021; DOI: https://doi.org/10.1155/2021/8883618
Topic(s): Child Health and Development , Household and Respondent Characteristics , Survey Methodology, Data Quality, Analysis
Country(s): Ethiopia
Web: https://www.hindawi.com/journals/ijpedi/2021/8883618/
Maternal socio-demographic factors vs antenatal care utilization and under-five mortality in Nigeria
Author(s): Chukwuechefulam K. Imo and Ukoji V. Ukoji
Journal: Gender and Behaviour (JAN 2021) , Vol. 18 No. 3 (2020)
Topic(s): Child Health and Development , Household and Respondent Characteristics , Infant and Child Mortality , Maternal Health , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): Nigeria
Web: https://www.ajol.info/index.php/gab/article/view/203317
Socioeconomic determinants of hypertension and prehypertension in Peru: Evidence from the Peruvian Demographic and Health Survey
Author(s): Diego Chambergo-Michilot, Alexis Rebatta-Acuna, Carolina J Delgado-Flores, and Carlos J Toro-Huamanchumo
Journal: PLoS ONE (JAN 2021) , DOI: https://doi.org/10.1371/journal.pone.0245730
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Non-communicable diseases , Nutrition , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): Peru
Web: https://journals.plos.org/plosone/article?id=10.1371%2Fjourn
Modeling successive birth interval of women in Ethiopia: application of parametric shared frailty and accelerated failure time model
Author(s): Nuru Muhammed Mustefa and Denekew Bitew Belay
Journal: BMC Women's Health (JAN 2021) , Volume 21, Article number: 45; DOI: https://doi.org/10.1186/s12905-021-01190-y
Topic(s): Education , Fertility and Fertility Preferences , Gender , Maternal Health , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): Ethiopia
Web: https://bmcwomenshealth.biomedcentral.com/articles/10.1186/s
Factors associated with delayed initiation of breastfeeding in health facilities: secondary analysis of Bangladesh demographic and health survey 2014
Author(s): Shahreen Raihana, Ashraful Alam, Tanvir M Huda, and Michael J Dibley
Journal: International Breastfeeding Journal (JAN 2021) , Volume 16, Article number: 14; DOI: https://doi.org/10.1186/s13006-021-00360-w
Topic(s): Anthropometry/Biomarkers , Maternal Health , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Bangladesh
Web: https://internationalbreastfeedingjournal.biomedcentral.com/
Application of machine learning to understand child marriage in India
Author(s): Anita Raj, Nabamallika Dehingia, Abhishek Singh, Lotus McDougal, and Julian McAuley
Journal: SSM – Population Health (DEC 2020) , DOI: 10.1016/j.ssmph.2020.100687
Topic(s): Child Health and Development , Gender , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://pubmed.ncbi.nlm.nih.gov/33335970/
Structural equation modeling on the relationship between maternal characteristics and pregnancy complications: A study based on National Family Health Survey
Author(s): Pradeep Kumar and Preeti Dhillon
Journal: Journal of Obstetrics and Gynaecology Research (NOV 2020) , DOI: 10.1111/jog.14566
Topic(s): Fertility and Fertility Preferences , Maternal Health , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): India
Web: https://pubmed.ncbi.nlm.nih.gov/33191654/
Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model
Author(s): Ashis Talukder and Zobayer Hossain, MD
Journal: Scientific Reports (JUN 2020) , Volume 10, Article number: 10237; DOI: https://doi.org/10.1038/s41598-020-66084-9
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Non-communicable diseases , Nutrition , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): Bangladesh
Web: https://www.nature.com/articles/s41598-020-66084-9
Contraceptive Use in Nigeria: Does Social Context Matter?
Author(s): Dorothy N. Ononokpono, Clifford O. Odimegwu, and Nsidibe A. Usoro
Journal: African Journal of Reproductive Health (MAY 2020) , Vol. 24, No. 1
Topic(s): Family Planning , Household and Respondent Characteristics , Survey Methodology, Data Quality, Analysis
Country(s): Nigeria
Web: https://www.ajol.info/index.php/ajrh/article/view/195567
Demographic and Health Diversity in the Era of SDGs
Author(s): K S James, S Irudaya Rajan, and Srinivas Goli
Journal: Economic and Political Weekly (FEB 2020) , 55(6)
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://www.epw.in/journal/2020/6/national-family-health-sur
An Assessment: Quality of Data in NFHS-4 Compared to Earlier Rounds
Author(s): K Srinivasan, and Rakesh Mishra
Journal: Economic and Political Weekly (FEB 2020) , 55(6)
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://epw.in/journal/2020/6/national-family-health-survey-
Lessons for the Future: Twenty-five Years of the NFHS
Author(s): S Irudaya Rajan
Journal: Economic and Political Weekly (FEB 2020) , 55(6)
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://epw.in/journal/2020/6/national-family-health-survey-
Methods for analysis of complex survey data: an application using the Tanzanian 2015 Demographic and Health Survey and Service Provision Assessment
Author(s): Sheffel A, Wilson E, Munos M, and Zeger S
Journal: Journal of Global Health (DEC 2019) , 9(2): 020902; DOI: 10.7189/jogh.09.020902
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Tanzania
Web: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925968/
A bootstrapping approach for generating an inverse distance weight matrix when multiple observations have an identical location in large health surveys
Author(s): Sung Wook Kim, Felix Achana, and Stavros Petrou
Journal: International Journal of Health Geographics (NOV 2019) , 18(27); DOI:10.1186/s12942-019-0189-5
Topic(s): Geographic Information , HIV/AIDS , Survey Methodology, Data Quality, Analysis
Country(s): Malawi
Web: https://ij-healthgeographics.biomedcentral.com/articles/10.1
Modelling the Wealth Index of Demographic and Health Surveys within Cities Using Very High-Resolution Remotely Sensed Information
Author(s): Stefanos Georganos, Assane Niang Gadiaga, Catherine Linard, Tais Grippa, Sabine Vanhuysse, Nicholus Mboga, Eléonore Wol, Sébastien Dujardin, and Moritz Lennert
Journal: Remote Sensing (OCT 2019) , 11: 2543; DOI: 10.3390/rs11212543
Topic(s): Geographic Information , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): Senegal
Web: https://www.google.com/url?rct=j&sa=t&url=https://www.mdpi.c
Age heaping among adults in Nigeria: evidence from the Nigeria Demographic and Health Surveys 2003–2013
Author(s): Olufunke Fayehun, Anthony I. Ajayi, Chinwe Onuegbu, and Daniel Egerson
Journal: Journal of Biosocial Science (JUL 2019) , Published Online; DOI: 10.1017/S0021932019000348
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Nigeria
Calculating fertility and childhood mortality rates from survey data using the DHS.rates R package
Author(s): Mahmoud Elkasabi
Journal: PLoS ONE (MAY 2019) , 14(5): e0216403; DOI: 10.1371/journal.pone.0216403
Topic(s): Child Health and Development , Fertility and Fertility Preferences , Infant and Child Mortality , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://journals.plos.org/plosone/article?id=10.1371/journal
Estimation of Conditional Prevalence from Group Testing Data with Missing Covariates
Author(s): Aurore Delaigle, Wei Huang, and Shaoke Lei
Journal: Journal of the American Statistical Association (APR 2019) , Published online; DOI: 10.1080/01621459.2019.1566071
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Misreporting Month of Birth: Diagnosis and Implications for Research on Nutrition and Early Childhood in Developing Countries
Author(s): Anna Folke Larsen, Derek Headey, and William A. Masters
Journal: Demography (JAN 2019) , Online first; DOI:10.1007/s13524-018-0753-9
Topic(s): Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://link.springer.com/article/10.1007/s13524-018-0753-9
Assessment of Anthropometric Data Following Investments to Ensure Quality: Kenya Demographic Health Surveys Case Study, 2008 to 2009 and 2014
Author(s): Leidman E, Mwirigi LM, Maina-Gathigi L, Wamae A, Imbwaga AA, and Bilukha OO
Journal: Food and Nutrition Bulletin (SEP 2018) , 39(3):406-419; DOI: 10.1177/0379572118783181
Topic(s): Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Kenya
Interviewer effects on patterns of nonresponse: Evaluating the impact on the reasons for contraceptive nonuse in the Indonesia and the Philippines DHS
Author(s): Mark Amos
Journal: Demographic Research (SEP 2018) , 39(14): 415–430; DOI: 10.4054/DemRes.2018.39.14
Topic(s): Family Planning , Survey Methodology, Data Quality, Analysis
Country(s): Philippines, Indonesia
Web: https://www.demographic-research.org/volumes/vol39/14/39-14.
Sampling Weights for Analyses of Couple Data: Example of the Demographic and Health Surveys
Author(s): Stan Becker, and Amanda Kalamar
Journal: Demography (JUL 2018) , 55(4): 1447–1473; DOI: 10.1007/s13524-018-0688-1
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Perspectives and implications of the Improving Coverage Measurement Core Group’s validation studies for household surveys
Author(s): Fred Arnold, and Shane M Khan
Journal: Journal of Global Health (JUN 2018) , DOI: 10.7189/jogh.08.010606
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: http://www.jogh.org/documents/issue201801/jogh-08-010606.pdf
Missingness of Height Data from the Demographic and Health Surveys in Africa between 1991 and 2016 Was Not Random but Is Unlikely to Have Major Implications for Biases in Estimating Stunting Prevalence or the Determinants of Child Height
Author(s): Amelia B Finaret, and Matthew Hutchinson
Journal: Journal of Nutrition (MAY 2018) , 148(5): 781–789; DOI: https://doi.org/10.1093/jn/nxy037
Topic(s): Child Health and Development , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Results (1 - 25) of 108 Page(s): 1 2 3 4 5 Next