Letters to the Editor
13 September 2022
Vol. 93 No. 1 (2023)
Comments on “Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning: A cross sectional study among chronic disease patients of deprived urban neighbourhood, India”
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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Dear Editor,
we read the publication by Rustagi et al. “Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning: A cross sectional study among chronic disease patients of deprived urban neighbourhood, India" with a great interest...
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Citations
Rustagi N, Choudhary Y, Asfahan S, et al. Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning: A cross sectional study among chronic disease patients of deprived urban neighbourhood, India. Monaldi Arch Chest Dis 2022;92:2117. DOI: https://doi.org/10.4081/monaldi.2022.2117
Mungmunpuntipantip R, Wiwanitkit V. COVID-19 vaccination hesitancy. Recenti Prog Med 2021;112:596. DOI: https://doi.org/10.1080/21645515.2022.2124090
Xiao J, Cheung JK, Wu P, et al. Temporal changes in factors associated with COVID-19 vaccine hesitancy and uptake among adults in Hong Kong: Serial cross-sectional surveys. Lancet Reg Health West Pac 2022;23:100441. DOI: https://doi.org/10.1016/j.lanwpc.2022.100441
Guntuku SC, Buttenheim AM, Sherman G, Merchant RM. Twitter discourse reveals geographical and temporal variation in concerns about COVID-19 vaccines in the United States. Vaccine 2021;39:4034-8. DOI: https://doi.org/10.1016/j.vaccine.2021.06.014
How to Cite
“Comments on ‘Identifying Psychological Antecedents and Predictors of Vaccine Hesitancy through Machine Learning: A Cross Sectional Study Among Chronic Disease Patients of Deprived Urban Neighbourhood, India’”. 2022. Monaldi Archives for Chest Disease 93 (1). https://doi.org/10.4081/monaldi.2022.2269.
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