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

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 us...

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Autores principales: Bravo, Catherine, Castells, Valérie Bosch, Zietek-Gutsch, Susann, Bodin, Pierre-Antoine, Molony, Cliona, Frühwein, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944297/
https://www.ncbi.nlm.nih.gov/pubmed/35085399
http://dx.doi.org/10.1093/jtm/taac009
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author Bravo, Catherine
Castells, Valérie Bosch
Zietek-Gutsch, Susann
Bodin, Pierre-Antoine
Molony, Cliona
Frühwein, Markus
author_facet Bravo, Catherine
Castells, Valérie Bosch
Zietek-Gutsch, Susann
Bodin, Pierre-Antoine
Molony, Cliona
Frühwein, Markus
author_sort Bravo, Catherine
collection PubMed
description 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.
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spelling pubmed-89442972022-03-28 Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours Bravo, Catherine Castells, Valérie Bosch Zietek-Gutsch, Susann Bodin, Pierre-Antoine Molony, Cliona Frühwein, Markus J Travel Med Original Article 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. Oxford University Press 2022-01-27 /pmc/articles/PMC8944297/ /pubmed/35085399 http://dx.doi.org/10.1093/jtm/taac009 Text en © International Society of Travel Medicine 2022. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Bravo, Catherine
Castells, Valérie Bosch
Zietek-Gutsch, Susann
Bodin, Pierre-Antoine
Molony, Cliona
Frühwein, Markus
Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours
title Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours
title_full Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours
title_fullStr Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours
title_full_unstemmed Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours
title_short Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours
title_sort using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944297/
https://www.ncbi.nlm.nih.gov/pubmed/35085399
http://dx.doi.org/10.1093/jtm/taac009
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