Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours

Author:

Bravo Catherine1,Castells Valérie Bosch1,Zietek-Gutsch Susann1,Bodin Pierre-Antoine2,Molony Cliona3,Frühwein Markus4

Affiliation:

1. Sanofi Pasteur, Lyon, France

2. Pharma & Healthcare, Berger, Roland Berger, Paris, France

3. Sanofi US Services, Inc., Cambridge, MA, USA

4. Dr Frühwein & Partner, Munich, Germany

Abstract

Abstract Background Travellers can access online information to research and plan their expeditions/excursions, and seek travel-related health information. We explored German travellers’ attitude and behaviour toward vaccination, and their travel-related health information seeking activities. Methods We used two approaches: web ‘scraping’ of comments on German travel-related sites and an online survey. ‘Scraping’ of travel-related sites was undertaken using keywords/synonyms to identify vaccine- and disease-related posts. The raw unstructured text extracted from online comments was converted to a structured dataset using Natural Language Processing Techniques. Traveller personas were defined using K-means based on the online survey results, with cluster (i.e. persona) descriptions made from the most discriminant features in a distinguished set of observations. The web-scraped profiles were mapped to the personas identified. Travel and vaccine-related behaviours were described for each persona. Results We identified ~2.6 million comments; ~880 k were unique and mentioned ~280 k unique trips by ~65 k unique profiles. Most comments were on destinations in Europe (37%), Africa (21%), Southeast Asia (12%) and the Middle East (11%). Eight personas were identified: ‘middle-class family woman’, ‘young woman travelling with partner’, ‘female globe-trotter’, ‘upper-class active man’, ‘single male traveller’, ‘retired traveller’, ‘young backpacker’, and ‘visiting friends and relatives’. Purpose of travel was leisure in 82–94% of profiles, except the ‘visiting friends and relatives’ persona. Malaria and rabies were the most commented diseases with 12.7 k and 6.6 k comments, respectively. The ‘middle-class family woman’ and the ‘upper-class active man’ personas were the most active in online conversations regarding endemic disease and vaccine-related topics, representing 40% and 19% of comments, respectively. Vaccination rates were 54%–71% across the traveller personas in the online survey. Reasons for vaccination reluctance included perception of low risk to disease exposure (21%), price (14%), fear of side effects (12%) and number of vaccines (11%). Conclusions The information collated on German traveller personas and behaviours toward vaccinations should help guide counselling by healthcare professionals.

Funder

Sanofi Pasteur

Publisher

Oxford University Press (OUP)

Subject

General Medicine

Reference58 articles.

1. Clinical and epidemiological characteristics of imported infectious diseases in Spanish travelers;Zamarron Fuertes;J Travel Med,2010

2. Travel-related imported infections in Europe, EuroTravNet 2009;Odolini;Clin Microbiol Infect,2012

3. The 2007 epidemic outbreak of chikungunya virus infection in the Romagna region of Italy: a new perspective for the possible diffusion of tropical diseases in temperate areas?;Sambri;New Microbiol,2008

4. The spread of vaccine-preventable diseases by international travellers: a public-health concern;Gautret;Clin Microbiol Infect,2012

5. Vaccines for international travel;Freedman;Mayo Clin Proc,2019

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3