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Exploring COVID-19 vaccine hesitancy and uptake in Nairobi’s urban informal settlements: an unsupervised machine learning analysis of a longitudinal prospective cohort study from 2021 to 2022
OBJECTIVES: To illustrate the utility of unsupervised machine learning compared with traditional methods of analysis by identifying archetypes within the population that may be more or less likely to get the COVID-19 vaccine. DESIGN: A longitudinal prospective cohort study (n=2009 households) with r...
Autores principales: | Rajshekhar, Nandita, Pinchoff, Jessie, Boyer, Christopher B, Barasa, Edwine, Abuya, Timothy, Muluve, Eva, Mwanga, Daniel, Mbushi, Faith, Austrian, Karen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503341/ https://www.ncbi.nlm.nih.gov/pubmed/37699627 http://dx.doi.org/10.1136/bmjopen-2022-071032 |
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