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Results (1 - 25) of 163 Page(s): 1 2 3 4 5 6 7 Next
Socio-economic inequality and spatial heterogeneity in anaemia among children in India: Evidence from NFHS-4 (2015–16)
Author(s): Himani Sharma, S. K.Singh, and Shobhit Srivastava
Journal: Clinical Epidemiology and Global Health (DEC 2020) , DOI: https://doi.org/10.1016/j.cegh.2020.04.009
Topic(s): Anemia , Child Health and Development , Geographic Information , Malaria , Nutrition , Wealth/Socioeconomics
Country(s): India
Web: https://www.sciencedirect.com/science/article/abs/pii/S22133
Spatial distribution of iron rich foods consumption and its associated factors among children aged 6–23 months in Ethiopia: spatial and multilevel analysis of 2016 Ethiopian demographic and health survey
Author(s): Sofonyas Abebaw Tiruneh, Belete Achamyelew Ayele, Getachew Yideg Yitbarek, Desalegn Tesfa Asnakew, Melaku Tadege Engidaw, and Alemayehu Digssie Gebremariam
Journal: Nutrition Journal (OCT 2020) , 19, Article number: 115
Topic(s): Child Health and Development , Geographic Information , Nutrition
Country(s): Ethiopia
Web: https://nutritionj.biomedcentral.com/articles/10.1186/s12937
Indirect effects of the COVID-19 pandemic on malaria intervention coverage, morbidity, and mortality in Africa: a geospatial modelling analysis
Author(s): Daniel J. Weiss, Amelia Bertozzi-Villa, Susan F. Rumisha, Punam Amratia, Rohan Arambepola, Katherine E. Battle, Ewan Cameron, Elisabeth Chestnutt, Harry S. Gibson, Joseph Harris, Suzanne Keddie, Justin J. Millar, Jennifer Rozier, Tasmin L. Symons, Camilo Vargas-Ruiz, Simon I. Hay, David L. Smith, Pedro L. Alonso, Abdisalan M. Noor, Samir Bhatt, and Peter W. Gething
Journal: Lancet Infectious Diseases (SEP 2020) , DOI: https://doi.org/10.1016/S1473-3099(20)30700-3
Topic(s): COVID-19 , Geographic Information , Malaria
Country(s): Multiple African Countries
Web: https://www.thelancet.com/journals/laninf/article/PIIS1473-3
Bayesian spatial analysis of socio-demographic factors influencing pregnancy termination and its residual geographic variation among ever-married women of reproductive age in Bangladesh
Author(s): Rifat Zahan, and Cindy Xin Feng
Journal: BMC Public Health (SEP 2020) , 20(Article number: 1348); DOI: 10.1186/s12889-020-09401-1
Topic(s): Family Planning , Geographic Information , Maternal Health
Country(s): Bangladesh
Web: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s
Tracking Progress in Anthropometric Failure among Children in India: A Geospatial Analysis
Author(s): Singh S. K., Purnima Menon, and Aditi Chaudary
Journal: Epidemiology: Open Access (SEP 2020) , Vol 10(4)
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Fertility and Fertility Preferences , Geographic Information , Maternal Health , Nutrition
Country(s): India
Web: https://www.omicsonline.org/open-access/tracking-progress-in
Geographical disparities and determinants of childhood diarrheal illness in Ethiopia: further analysis of 2016 Ethiopian Demographic and Health Survey
Author(s): Asmamaw Atnafu, Malede Mequanent Sisay, Getu Debalkie Demissie, and Zemenu Tadesse Tessema
Journal: Tropical Medicine and Health (AUG 2020) , 48: 64; DOI: 10.1186/s41182-020-00252-5
Topic(s): Child Health and Development , Geographic Information
Country(s): Ethiopia
Web: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397587/
Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17
Author(s): Local Burden of Disease Diarrhoea Collaborators
Journal: Lancet Global Health (AUG 2020) , 8(8): e1038-e1060; 10.1016/S2214-109X(20)30230-8
Topic(s): Geographic Information , Other , Wealth/Socioeconomics
Country(s): Multiple Regions
Web: https://www.thelancet.com/action/showPdf?pii=S2214-109X%2820
Geographical variation in determinants of high-risk fertility behavior among reproductive age women in Ethiopia using the 2016 demographic and health survey: a geographically weighted regression analysis
Author(s): Zemenu Tadesse Tessema, Melkalem Mamuye Azanaw, Yeaynmarnesh Asmare Bukayaw, and Kassahun Alemu Gelaye
Journal: Archives of Public Health (AUG 2020) , 78(Article number: 74): 1-12; DOI: 10.1186/s13690-020-00456-5
Topic(s): Family Planning , Geographic Information , Maternal Health
Country(s): Ethiopia
Web: https://link.springer.com/article/10.1186/s13690-020-00456-5
Socio-economic Correlates and Spatial Heterogeneity in the Prevalence of Asthma among Young Women in India
Author(s): Shri Kant Singh, Jitendra Gupta, Himani Sharma, Sarang P. Pedgaonkar, and Nidhi Gupta
Journal: BMC Pulmonary Medicine (JUL 2020) , 20, Article number: 190
Topic(s): Adult Health Issues , Geographic Information , Household and Respondent Characteristics , Maternal Health
Country(s): India
Web: https://bmcpulmmed.biomedcentral.com/articles/10.1186/s12890
Spatial inequalities in skilled attendance at birth in Ghana: A multilevel analysis integrating health facility databases with household survey data
Author(s): Winfred Dotse-Gborgbortsi, Andrew J. Tatem, Victor Alegana, C. Edson Utazi, Corrine Warren Ruktanonchai, and Jim Wright
Journal: Tropical Medicine and International Health (JUL 2020) , Published online; DOI: 10.1111/tmi.13460
Topic(s): Geographic Information , Maternal Health
Country(s): Ghana
Web: https://onlinelibrary.wiley.com/doi/10.1111/tmi.13460
Predictors of High HIV+ Prevalence in Mozambique: A Complex Samples Logistic Regression Modeling and Spatial Mapping Approaches
Author(s): Jerry John Nutor, Precious Adade Duodu, Pascal Agbadi, Henry Ofori Duah, Kelechi Elizabeth Oladimeji, and Kaboni Whitney Gondwe
Journal: PLoS ONE (JUN 2020) , 15(6): e0234034; DOI: 10.1371/journal.pone.0234034
Topic(s): Geographic Information , HIV/AIDS
Country(s): Mozambique
Web: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272061/
Geographic Variation and Associated Covariates of Diabetes Prevalence in India
Author(s): Andrés M Hernandez, Peng Jia, Hae-Young Kim, and Diego F Cuadros
Journal: JAMA Network Open (MAY 2020) , 3(5): e203865; DOI: 10.1001/jamanetworkopen.2020.3865
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Geographic Information , Non-communicable diseases , Nutrition
Country(s): India
Web: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195623/
Identifying spatial variation in the burden of diabetes among women across 640 districts in India: a cross-sectional study
Author(s): Shrikant Singh, Parul Puri, and S. V. Subramanian
Journal: Journal of Diabetes & Metabolic Disorders (MAY 2020) , 19, 523-533
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Geographic Information , Maternal Health , Non-communicable diseases , Nutrition
Country(s): India
Web: https://link.springer.com/article/10.1007/s40200-020-00545-w
Identifying geospatial patterns in wealth disparity in child malnutrition across 640 districts in India
Author(s): Lathan Liou, Rockli Kim, and S.V. Subramanian
Journal: SSM – Population Health (APR 2020) , 10: 100524; DOI: 10.1016/j.ssmph.2019.100524
Topic(s): Anemia , Child Health and Development , Fertility and Fertility Preferences , Geographic Information , Malaria , Nutrition , Wealth/Socioeconomics
Country(s): India
Web: https://pdf.sciencedirectassets.com/312210/1-s2.0-S235282731
Mapping and characterising areas with high levels of HIV transmission in sub-Saharan Africa: A geospatial analysis of national survey data
Author(s): Caroline A. Bulstra, Jan A. C. Hontelez, Federica Giardina, Richard Steen, Nico J. D. Nagelkerke, Till Bärnighausen, and Sake J. de Vlas
Journal: PLoS Medicine (MAR 2020) , 17(3): e1003042; DOI: 10.1371/journal.pmed.1003042
Topic(s): Geographic Information , HIV/AIDS
Country(s): Multiple African Countries
Web: https://journals.plos.org/plosmedicine/article?id=10.1371/jo
Under-Five Child Growth and Nutrition Status: Spatial Clustering of Indian Districts
Author(s): Erich Striessnig, and Jayanta Kumar Bora
Journal: Spatial Demography (MAR 2020) , Published online; DOI: 10.1007/s40980-020-00058-3
Topic(s): Child Health and Development , Geographic Information , Nutrition
Country(s): India
Web: https://link.springer.com/article/10.1007/s40980-020-00058-3
Does deforestation increase malaria prevalence? Evidence from satellite data and health surveys
Author(s): Sebastian Bauhoff, and Jonah Busch
Journal: World Development (MAR 2020) , 127: 104734; DOI: 10.1016/j.worlddev.2019.104734
Topic(s): Geographic Information , Malaria
Country(s): Brazil, Multiple Regions
Web: https://www.sciencedirect.com/science/article/pii/S0305750X1
Obtaining district-level health estimates using geographically masked location from Demographic and Health Survey data
Author(s): Emily Wilson, Elizabeth Hazel, Lois Park, Emily Carter, Lawrence H. Moulton, Rebecca Heidkamp, and Jamie Perin
Journal: International Journal of Health Geographics (FEB 2020) , 19(2); DOI: 10.1186/s12942-020-0198-4
Topic(s): Child Health and Development , Geographic Information , Maternal Health
Country(s): Malawi
Web: https://ij-healthgeographics.biomedcentral.com/articles/10.1
District level inequality in reproductive, maternal, neonatal and child health coverage in India
Author(s): Basant Kumar Panda, Gulshan Kumar, and Ashish Awasthi
Journal: BMC Public Health (JAN 2020) , 20(58): 1-10; DOI: 10.1186/s12889-020-8151-9
Topic(s): Child Health and Development , Geographic Information , Maternal Health , Wealth/Socioeconomics
Country(s): India
Web: https://link.springer.com/article/10.1186/s12889-020-8151-9
Spatial Quantile Regression with Application to High and Low Child Birth Weight in Malawi
Author(s): Alfred Ngwira
Journal: BMC Public Health (NOV 2019) , 19(1): 1593: DOI: 10.1186/s12889-019-7949-9
Topic(s): Child Health and Development , Fertility and Fertility Preferences , Geographic Information
Country(s): Malawi
Web: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884851/
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
Antenatal care use in Ethiopia: a spatial and multilevel analysis
Author(s): Teketo Kassaw Tegegne, Catherine Chojenta, Theodros Getachew, Roger Smith, and Deborah Loxton
Journal: BMC Pregnancy and Childbirth (NOV 2019) , 19(1): 1-16; DOI: 10.1186/s12884-019-2550-x
Topic(s): Geographic Information , Maternal Health
Country(s): Ethiopia
Web: https://link.springer.com/article/10.1186/s12884-019-2550-x
Spatial Evaluation of Prevalence, Pattern and Predictors of Cervical Cancer Screening in India
Author(s): Nilima, A Puranik, S M Shreenidhi, and S N Rai
Journal: Public Health (OCT 2019) , 178: 124-136; DOI: 10.1016/j.puhe.2019.09.008
Topic(s): Geographic Information , Maternal Health
Country(s): India
Web: https://www.sciencedirect.com/science/article/pii/S003335061
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
State of deworming coverage and equity in low-income and middle-income countries using household health surveys: a spatiotemporal cross-sectional study
Author(s): Nathan C Lo, Sam Heft-Neal, Jean T Coulibaly, Leslie Leonard, Eran Bendavid, and David G Addiss
Journal: Lancet Global Health (SEP 2019) , Published online; DOI: 10.1016/S2214-109X(19)30413-9
Topic(s): Child Health and Development , Geographic Information , Wealth/Socioeconomics
Country(s): Multiple Regions
Web: https://www.thelancet.com/action/showPdf?pii=S2214-109X%2819
Results (1 - 25) of 163 Page(s): 1 2 3 4 5 6 7 Next