“Using behavioral insights to inform the COVID-19 vaccine response in Kosovo[1]: Population perceptions and interventions”

Florie Miftari Basholli , Merita Berisha , Martha Scherzer , Isme Humolli , Naser Ramadani , Katrine Bach Habersaat , Zsolt Kiss
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引用次数: 0

Abstract

Objective

Understand population perceptions in Kosovo[1] regarding COVID-19 vaccination to inform the pandemic response.

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.[1] In less than one year, vaccination intentions increased from 36% to 66% of those unvaccinated. Predictors for vaccine intentions included gender, age, trust in health authorities. Segmentation analysis identified population segments that had high vaccine nintentions but low uptake, informing messages and campaign initiatives designed to translate intentions into behavior.

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[1]

"利用行为洞察力为科索沃的 COVID-19 疫苗应对措施提供信息[1]:民众的看法和干预措施"
目标了解科索沃[1] 人口对 COVID-19 疫苗接种的看法,为大流行病应对措施提供信息。方法在 2020-2021 年期间对具有代表性的成人样本进行了五轮横断面调查。分析包括描述性统计、分层聚类分析、细分和逻辑回归。结果在科索沃引入 COVID-19 疫苗后,自我报告的疫苗接种意愿有所增加。疫苗接种意愿的预测因素包括性别、年龄和对卫生机构的信任度。细分分析确定了疫苗接种意向高但接种率低的人群细分,为旨在将接种意向转化为行为的信息和活动倡议提供了参考。创新性BI是科索沃[1]的一个创新性研究重点,之前在科索沃几乎没有收集过BI数据,创新性BI提供了对与COVID-19相关的人群观点、态度和行为的独特理解。这些发现不仅对基于证据的流行病应对措施至关重要,而且还为今后广泛应用生物统计学为干预措施提供信息奠定了基础,这些干预措施旨在帮助、支持和促进科索沃与健康有关的行为[1]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PEC innovation
PEC innovation Medicine and Dentistry (General)
CiteScore
0.80
自引率
0.00%
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审稿时长
147 days
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