Data-Driven Decision Making and Proactive Citizen–Scientist Communication: A Cross-Sectional Study on COVID-19 Vaccination Adherence
| Autor: | Arriel Benis, Ieva Danovska, Valdis Pirags, Martins Mednis, Emil Syundyukov, Abraham Seidmann, Eva Pildegovica, Lilian Tzivian, Linda Zaharenko, Svjatoslavs Kistkins |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Cross-sectional study Immunology Population vaccination refusal Exploratory research digital health coronavirus Article Drug Discovery medicine health communication Pharmacology (medical) data-driven communication COVID-19 vaccination readiness SARS-CoV-2 immunization programs vaccination hesitancy web-based survey education Health communication Pharmacology education.field_of_study Public health Odds ratio Digital health Vaccination Refusal Infectious Diseases Family medicine Medicine Psychology |
| Zdroj: | Vaccines, Vol 9, Iss 1384, p 1384 (2021) Vaccines; Volume 9; Issue 12; Pages: 1384 Vaccines |
| Popis: | Due to the severe impact of COVID-19 on public health, rollout of the vaccines must be large-scale. Current solutions are not intended to promote an active collaboration between communities and public health researchers. We aimed to develop a digital platform for communication between scientists and the general population, and to use it for an exploratory study on factors associated with vaccination readiness. The digital platform was developed in Latvia and was equipped with dynamic consent management. During a period of six weeks 467 participants were enrolled in the population-based cross-sectional exploratory study using this platform. We assessed demographics, COVID-19-related behavioral and personal factors, and reasons for vaccination. Logistic regression models adjusted for the level of education, anxiety, factors affecting the motivation to vaccinate, and risk of infection/severe disease were built to investigate their association with vaccination readiness. In the fully adjusted multiple logistic regression model, factors associated with vaccination readiness were anxiety (odds ratio, OR = 3.09 [95% confidence interval 1.88; 5.09]), feelings of social responsibility (OR = 1.61 [1.16; 2.22]), and trust in pharmaceutical companies (OR = 1.53 [1.03; 2.27]). The assessment of a large number of participants in a six-week period show the potential of a digital platform to create a data-driven dialogue on vaccination readiness. |
| Databáze: | OpenAIRE |
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