Geospatial and multivariate analysis of under-five stunting children in Rwanda using DHS 2020-Reference-Cited by-同舟云学术

Geospatial and multivariate analysis of under-five stunting children in Rwanda using DHS 2020

Published:2023-04-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 6th International Conference on Geoinformatics and Data Analysis
language:
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Author:

Ndagijimana Similien¹^ORCID,Kabano Ignace Habimana²^ORCID,Masabo Emmanuel³^ORCID,Ntaganda Jean Marie⁴^ORCID

Affiliation:

1. African Centre of Excllence in Data Science, Biostatistics, University of Rwanda, Rwanda

2. African Centre of Excllence in Data Science, University of Rwanda, Rwanda

3. African Centre of Excllence in Data Science and African Centre of Excllence Internet of Things, University of Rwanda, Rwanda

4. College of Science and Technology, School of science, University of Rwanda, Rwanda

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3606180.3606187

Reference31 articles.

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2. T. D. P. National Institute of Statistics of Rwanda , Ministry of Health, Rwanda Demographic and Health Survey 2019-20 . 2021 . T. D. P. National Institute of Statistics of Rwanda, Ministry of Health, Rwanda Demographic and Health Survey 2019-20. 2021.

3. D. D. Weatherspoon , S. Miller , J. C. Ngabitsinze , L. J. Weatherspoon , and J. F. Oehmke , “ Stunting , food security , markets and food policy in Rwanda ,” pp. 1– 13 , 2019 . D. D. Weatherspoon, S. Miller, J. C. Ngabitsinze, L. J. Weatherspoon, and J. F. Oehmke, “Stunting , food security , markets and food policy in Rwanda,” pp. 1–13, 2019.

4. Underdiagnosis of Malnutrition in Infants and Young Children in Rwanda: Implications for Attainment of the Millennium Development Goal to End Poverty and Hunger;B. A.;Int. J. Equity Health,2011

5. Investigation of Nutritional Status of Children based on Machine Learning Techniques using Indian Demographic and Health Survey Data