Frontiers | Dynamic role of personality in explaining COVID-19 vaccine hesitancy and refusal

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Frontiers | Dynamic role of personality in explaining COVID-19 vaccine hesitancy and refusal
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Our fielding coincides with the rollout of the primary COVID-19 vaccine series in Canada, starting in January 2021 for healthcare workers and those in long-term care homes, expanding to older people in March and the rest of the population in April–May. It stops before provinces and the federal government established vaccine mandates and passports. It also coincides with the rise and fall of the Delta wave during late 2020 and early 2021, which became the dominant variant by the Summer of 2021.

Each wave used quotas to ensure the final sample matched population benchmarks on gender, region , age , and language . We use raked weighting to ensure gender and age balance within regions as well .Our principle outcome measure is a question on vaccine intention “Would you take a vaccine to prevent COVID-19 infection once it becomes available?” . As the vaccine rollout began we included an option for “I have already been vaccinated.” These respondents are coded together with that report “Yes.

The long timeframe of our fielding allows us to examine dynamics in the effects of personality traits on vaccine intention as pandemic conditions change. We focus on changes in the vaccination rate and COVID-19 caseload. We acquired COVID-19 case data from the World Health Organization.While WHO data uses official data from a wide range of health ministries, it primarily reflects laboratory-confirmed cases.

The variables are common to respondents on the same day, so these respondents are nested within those days. We use multilevel modeling where we treat survey wave as the level variable because of an unequal daily rollout of the sample. Some days have systematically fewer respondents, usually from harder-to-reach quota groups. We thus use a wave-based average of our level 2 variables. We estimate two models per personality trait.

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