Understanding vaccine hesitancy using network analysis

Edgar M. Adina; Mylen L. Aala-Capuno; Lucky Mae B. Daypuyart; Alliyah Jonachel P. Santos

doi:10.1117/12.3012650

19 December 2023 Understanding vaccine hesitancy using network analysis

Edgar M. Adina, Mylen L. Aala-Capuno, Lucky Mae B. Daypuyart, Alliyah Jonachel P. Santos

Proceedings Volume 12936, International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023); 1293605 (2023) https://doi.org/10.1117/12.3012650
Event: International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 2023, Istanbul, Turkey

Abstract

Vaccine hesitancy has become one of the biggest challenges in the pandemic management efforts of the Philippine government, even with a decreasing trend in recorded cases in the past couple of months. A number of studies and surveys have revealed that vaccine hesitancy could even go as high as fifty-eight percent (58%) in some regions. Using the method of network analysis, this study analyzed the relationship between the factors affecting vaccine hesitancy among Filipinos. Specifically, it used the COVID-19 Vaccine Survey data that was previously collected by the Philippine’s Department of Health (DOH). Results revealed varying popular and influential factors when the networks are broken down by demographic variables. It also showed that negative news circulating about certain brands of vaccine and unaddressed concerns about its side effects are the most common reasons for refusing COVID-19 vaccines. Both factors also tend to have the highest betweenness and closeness centrality across different demographics.

Citation Download Citation

Edgar M. Adina, Mylen L. Aala-Capuno, Lucky Mae B. Daypuyart, and Alliyah Jonachel P. Santos "Understanding vaccine hesitancy using network analysis", Proc. SPIE 12936, International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 1293605 (19 December 2023); https://doi.org/10.1117/12.3012650

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