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Results (1 - 25) of 166 Page(s): 1 2 3 4 5 6 7 Next
Modelling the impact of maternal pneumococcal vaccination on infant pneumococcal disease in low-income settings
Author(s): Gizem M.Bilgin, KamaliniLokuge, KathrynGlass
Journal: Vaccine (JUL 2022) , Volume 40, issue 31; DOI:https://doi.org/10.1016/j.vaccine.2022.05.066
Topic(s): Child Health and Development , Infant and Child Mortality , Maternal Mortality , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://www.sciencedirect.com/science/article/pii/S0264410X2
Measuring contraceptive use in India: Implications of recent fieldwork design and implementation of the National Family Health Survey
Author(s): Kaushalendra Kumar, Abhishek Singh, and Amy Tsui
Journal: Demographic Research (JUL 2022) , Volume 47, issue 4; DOI:10.4054/DemRes.2022.47.4
Topic(s): Family Planning , Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://www.demographic-research.org/volumes/vol47/4/default
How Interviewers Affect Responses to Sensitive Questions on the Justification for Wife Beating, the Refusal to have Conjugal Sex, and Domestic Violence in India
Author(s): Abhishek Singh,Kaushalendra Kumar, and Fred Arnold
Journal: Studies in Family Planning (JUN 2022) , Volume 53, issue 2; DOI:https://doi.org/10.1111/sifp.12193
Topic(s): Domestic Violence , Family Planning , Gender , HIV/AIDS , Maternal Health , Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://onlinelibrary.wiley.com/doi/abs/10.1111/sifp.12193
Cervical Cancer Screening and Associated Barriers among Women in India: A Generalized Structural Equation Modeling Approach
Author(s): Nilima N, Mani K, Kaushik S, and Rai SN
Journal: Cancers (JUN 2022) , Volume 14, issue 13; DOI:https://doi.org/10.3390/cancers14133076
Topic(s): Maternal Health , Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://www.mdpi.com/2072-6694/14/13/3076
Parametric Frailty Analysis in Presence of Collinearity: An Application to Assessment of Infant Mortality
Author(s): Olayan Albalawi, Anu Sirohi, Piyush Kant Rai, and Ayed R. A. Alanzi
Journal: Mathematics (JUN 2022) , Volume 10, issue 2255; DOI:https://doi.org/10.3390/math10132255
Topic(s): Child Health and Development , Infant and Child Mortality , Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://doaj.org/article/b8342d45c32245e393e747ec0949d420
Application of machine learning methods for predicting infant mortality in Rwanda: analysis of Rwanda demographic health survey 2014–15 dataset
Author(s): Emmanuel Mfateneza, Pierre Claver Rutayisire, Emmanuel Biracyaza, Sanctus Musafiri and Willy Gasafari Mpabuka
Journal: BMC Pregnancy and Childbirth (MAY 2022) , Volume 22; issue 388; DOI:https://doi.org/10.1186/s12884-022-04699-8
Topic(s): Infant and Child Mortality , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://bmcpregnancychildbirth.biomedcentral.com/articles/10
Prevalence of child undernutrition measures and their spatio-demographic inequalities in Bangladesh: an application of multilevel Bayesian modelling
Author(s): Sumonkanti Das, Bernard Baffour and Alice Richardson
Journal: BMC Public Health (MAY 2022) , Volume 22, issue 1008; DOI:https://doi.org/10.1186/s12889-022-13170-4
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Geographic Information , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Bangladesh
Web: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s
The effects of community clustering on under-five mortality in India: a parametric shared frailty modelling approach
Author(s): Wahengbam Bigyananda Meitei, Abhishek Singh and Laishram Ladusingh
Journal: Genus (MAY 2022) , Volume 78, issue 18; DOI:https://doi.org/10.1186/s41118-022-00165-7
Topic(s): Child Health and Development , Infant and Child Mortality , Maternal Mortality , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://genus.springeropen.com/articles/10.1186/s41118-022-0
Comprehensive knowledge about HIV/AIDS and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel analysis using the most recent demographic and health survey of each country
Author(s): Achamyeleh Birhanu Teshale, Yigizie Yeshaw, Adugnaw Zeleke Alem, Hiwotie Getaneh Ayalew, Alemneh Mekuriaw Liyew, Zemenu Tadesse Tessema, Getayeneh Antehunegn Tesema, Misganaw Gebrie Worku and Tesfa Sewunet Alamneh
Journal: BMC Infectious Diseases (FEB 2022) , Volume 22, issue 130; DOI:https://doi.org/10.1186/s12879-022-07124-9
Topic(s): HIV/AIDS , Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Web: https://bmcinfectdis.biomedcentral.com/articles/10.1186/s128
Introducing the Disease Outbreak Resilience Index (DORI) Using the Demographic and Health Surveys Data from sub-Saharan Africa
Author(s): Isaac Koomson, Moses Okumu and David Ansong
Journal: Social Indicators Research (JAN 2022) , DOI: https://doi.org/10.1007/s11205-022-02881-1
Topic(s): Climate and environment , Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Web: https://link.springer.com/article/10.1007/s11205-022-02881-1
The Development and Inclusion of Questions on Surgery in the 2018 Zambia Demographic and Health Survey
Author(s): Sabrina Juran, Sanna Moren, Vatshalan Santhirapala, Lina Roa, Emmanuel Makasa, Justine Davies, Jose Miguel Guzman, Lars Hagander, Hampus Holmer, Mark G. Shrime, Thomas G. Weiser, John G. Meara, Stefanie J. Klug and David Ljungman
Journal: Global Health: Science and Practice (DEC 2021) , Volume 9, issue 4; DOI:https://doi.org/10.9745/GHSP-D-20-00619
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Zambia
Web: https://www.ghspjournal.org/content/9/4/905?utm_campaign=GHS
Prevalence and correlates of anaemia among children aged 6 to 59 months in Nigeria
Author(s): Bolaji Samson Aregbeshola, Oyepeju Mary Onifade, and Kofi Awuviry-Newton
Journal: World Nutrition (SEP 2021) , Vol 12, No. 3; DOI: https://doi.org/10.26596/wn.202112358-74
Topic(s): Anemia , Child Health and Development , Malaria , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Nigeria
Web: https://worldnutritionjournal.org/index.php/wn/article/view/
A predictive model, and predictors of under-five child malaria prevalence in Ghana: How do LASSO, Ridge and Elastic net regression approaches compare?
Author(s): Justice Moses K. Aheto, Henry Ofori Duah, Pascal Agbadi, and Emmanuel Kweku Nakua
Journal: Preventive Medicine Reports (SEP 2021) , Volume 23; DOI: https://doi.org/10.1016/j.pmedr.2021.101475
Topic(s): Child Health and Development , Malaria , Survey Methodology, Data Quality, Analysis
Country(s): Ghana
Web: https://www.sciencedirect.com/science/article/pii/S221133552
Modelling chronic malnutrition in Zambia: A Bayesian distributional regression approach
Author(s): Given Moonga, Stephan Bose-O'Reilly, Ursula Berger, Kenneth Harttgen, Charles Michelo, Dennis Nowak, Uwe Siebert, John Yabe, and Johannes Seiler
Journal: PLOS ONE (AUG 2021) , DOI: https://doi.org/10.1371/journal.pone.0255073
Topic(s): Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Zambia
Web: https://journals.plos.org/plosone/article?id=10.1371/journal
Joint Modeling on the Determinants of Birth Weight and Gestational Age among Pregnant Women in Ethiopia
Author(s): Kindu Kebede Gebre, Shimels Kebede Gebre, and Melkamu Ayana Zeru
Journal: Journal of Pregnancy and Child Health (AUG 2021) , 8:8, Vol 8(8); DOI: 10.4172/2376-127X.1000485
Topic(s): Adult Health Issues , Child Health and Development , Education , Fertility and Fertility Preferences , Household and Respondent Characteristics , Maternal Health , Survey Methodology, Data Quality, Analysis
Country(s): Ethiopia
Web: https://www.omicsonline.org/open-access/joint-modeling-on-th
Spatial regression and geostatistics discourse with empirical application to precipitation data in Nigeria
Author(s): Oluyemi A. Okunlola, Mohannad Alobid, Olusanya E. Olubusoye, Kayode Ayinde, Adewale F. Lukman, and Istvan Szucs
Journal: Scientific Reports (AUG 2021) , Volume 11, Article number: 16848; DOI: https://doi.org/10.1038/s41598-021-96124-x
Topic(s): Climate and environment , Geographic Information , Survey Methodology, Data Quality, Analysis
Country(s): Nigeria
Web: https://www.nature.com/articles/s41598-021-96124-x
Complex Multilevel Modelling of the Individual, Household and Regional Level Variability in Predictors of Undernutrition among Children Aged 6–59 Months in Ethiopia
Author(s): Teshita Uke Chikako, Abdul-Aziz Seidu, John Elvis Hagan, and Bright Opoku Ahinkorah
Journal: Nutrients (AUG 2021) , Vol. 13, No. 3018; DOI: https://doi.org/10.3390/nu13093018
Topic(s): Child Health and Development , Household and Respondent Characteristics , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Ethiopia
Web: https://doaj.org/article/7f5d378f8f9147e794b875fc35546c7e
Factors affecting External causes of deaths among adults (15–59 years) in South Indian states: A study using Bayesian model on National Family Health Survey-4 (2015–16) data
Author(s): Apyayee Sil, Arpan Sil, Preeti Dhillon, and Mithun Mog
Journal: Clinical Epidemiology and Global Health (JUL 2021) , Vol. 11
Topic(s): Adult Health Issues , Household and Respondent Characteristics , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): India
Web: https://doaj.org/article/2cb2f49302e2420389cbc7bbd1fbbb68
Using Household Surveys to Assess Missed Opportunities for Simultaneous Vaccination: Longitudinal Examples from Colombia and Nigeria
Author(s): Dale A. Rhoda, Mary L. Prier, Caitlin B. Clary, Mary Kay Trimner, Martha Velandia-Gonzalez, M. Carolina Danovaro-Holliday, and Felicity T. Cutts
Journal: Vaccines (JUL 2021) , Vol. 9, no. 795; DOI: https://doi.org/10.3390/vaccines9070795
Topic(s): Child Health and Development , Survey Methodology, Data Quality, Analysis
Country(s): Nigeria, Colombia, Multiple Regions
Web: https://doaj.org/article/269f25bdd62643bf8b966d5f34c866e6
While inadequate birth interval becomes detrimental to health and nutritional outcome in infant and under-five year children; a systematic review through BLR and CPH model
Author(s): Tanu Das and Tamal Basu Roy
Journal: Clinical Epidemiology and Global Health (JUL 2021) , Vol. 11
Topic(s): Child Health and Development , Fertility and Fertility Preferences , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://doaj.org/article/41c8ccf060e44636857f1e06a81760aa
Analyzing Overdispersed Antenatal Care Count Data in Bangladesh: Mixed Poisson Regression with Individual-Level Random Effects
Author(s): Zakir Hossain and Maria
Journal: Austrian Journal of Statistics (JUL 2021) , Vol. 50, No. 4; DOI: https://doi.org/10.17713/ajs.v50i4.1163
Topic(s): Maternal Health , Survey Methodology, Data Quality, Analysis
Country(s): Bangladesh
Web: https://doaj.org/article/47356c58c94c45c6adf1e8a963fbe0ac
Mapping Geographical Differences and Examining the Determinants of Childhood Stunting in Ethiopia: A Bayesian Geostatistical Analysis
Author(s): Kedir Y. Ahmed, Kingsley E. Agho, Andrew Page, Amit Arora, and Felix Akpojene Ogbo
Journal: Nutrients (JUN 2021) , Vol. 13; DOI: https://doi.org/10.3390/nu13062104
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Climate and environment , Geographic Information , Household and Respondent Characteristics , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Ethiopia
Web: https://doaj.org/article/bbed9edda231458fab4229022ccb89a8
Age heaping among individuals in selected South Asian countries: evidence from Demographic and Health Surveys
Author(s): Manish Singh, Gyan Chandra Kashyap, and Madhumita Bango
Journal: Journal of Biosocial Science (JUN 2021) , DOI: 10.1017/S0021932021000249
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple Asian Countries
Web: https://pubmed.ncbi.nlm.nih.gov/34099079/
Mapping changes in district level prevalence of childhood stunting in India 1998-2016: An application of small area estimation techniques
Author(s): Swati Srivastava, Hukum Chandra, Shri Kant Singh, and Ashish Kumar Upadhyay
Journal: SSM: Population Health (JUN 2021) , Vol. 14
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Geographic Information , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://doaj.org/article/2d7d59d55330448b8fce635c35b60aaa
The Demographic and Health Surveys Faculty Fellows Program: Successes, Challenges, and Lessons Learned
Author(s): Wenjuan Wang, Shireen Assaf, Thomas Pullum, and Sunita Kishor
Journal: Global Health: Science and Practice (JUN 2021) , DOI: 10.9745/GHSP-D-20-00318
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://www.ghspjournal.org/content/9/2/390
Results (1 - 25) of 166 Page(s): 1 2 3 4 5 6 7 Next