April 17, 2023, 8:02 p.m. | Raed Alharbi, Sylvia Chan-Olmsted, Huan Chen, My T. Thai

cs.LG updates on arXiv.org arxiv.org

Understanding the COVID-19 vaccine hesitancy, such as who and why, is very
crucial since a large-scale vaccine adoption remains as one of the most
efficient methods of controlling the pandemic. Such an understanding also
provides insights into designing successful vaccination campaigns for future
pandemics. Unfortunately, there are many factors involving in deciding whether
to take the vaccine, especially from the cultural point of view. To obtain
these goals, we design a novel culture-aware machine learning (ML) model, based
on our …

adoption analysis arxiv campaigns collection covid covid-19 culture data data collection design future insights machine machine learning novel pandemic pandemics scale understanding vaccination vaccine

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