ArticlePEC innovation2024
"Using behavioral insights to inform the COVID-19 vaccine response in Kosovo
Article in PEC innovation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Objective: Understand population perceptions in Kosovo Methods: Five rounds of a cross-sectional survey in representative samples of adults during 2020-2021. Analysis includes descriptive statistics, hierarchical cluster analysis, segmentation and logistic regressions. Results: Self-reported intention to vaccinate increased after the introduction of COVID-19 vaccines in Kosovo. Conclusion: Identifying people's perceptions and behavior is essential to support evidence-based policy making, especially during outbreak response. Innovation: BI is an innovative focus of research in Kosovo [1] where little BI data had been collected prior, and provided a unique understanding of population views, attitudes and behaviors related to COVID-19. These findings were not only essential for an evidence-based pandemic response but also laid the foundation for future broad application of BI to inform interventions that seek to enable, support and promote health-related behaviurs in Kosovo
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.