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Using social media to estimate Zika's impact on tourism: #babymoon, 2014-2017
Zika virus infection during pregnancy can cause microcephaly and other birth defects. We hypothesized that the Latin America Zika epidemic resulted in pregnant women and their partners adopting behavioral changes to limit risk, leading them to forego travel to Zika-affected locations. We evaluated t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383918/ https://www.ncbi.nlm.nih.gov/pubmed/30789944 http://dx.doi.org/10.1371/journal.pone.0212507 |
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author | Gallivan, Mark Oppenheim, Ben Madhav, Nita K. |
author_facet | Gallivan, Mark Oppenheim, Ben Madhav, Nita K. |
author_sort | Gallivan, Mark |
collection | PubMed |
description | Zika virus infection during pregnancy can cause microcephaly and other birth defects. We hypothesized that the Latin America Zika epidemic resulted in pregnant women and their partners adopting behavioral changes to limit risk, leading them to forego travel to Zika-affected locations. We evaluated this hypothesis by studying travelers’ intent and behavior through Twitter data related to babymoon: a holiday taken by parents-to-be before their baby is born. We found the odds of mentioning representative Zika-affected locations in #babymoon tweets dropped significantly (Odds ratio: 0.29, 95% CI: 0.20–0.40) after the Zika-microcephaly association became well-known. This result was further corroborated through a content analysis of #babymoon tweets mentioning Zika-affected locations, which identified if the Twitter user was physically present in the Zika-affected locations. Conversely, we found a small but statistically insignificant increase in the odds of mentioning Zika-free locations from #babymoon tweets (Odds Ratio: 1.11, 95% CI: 0.97–1.27) after the Zika-microcephaly association became well-known. |
format | Online Article Text |
id | pubmed-6383918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63839182019-03-09 Using social media to estimate Zika's impact on tourism: #babymoon, 2014-2017 Gallivan, Mark Oppenheim, Ben Madhav, Nita K. PLoS One Research Article Zika virus infection during pregnancy can cause microcephaly and other birth defects. We hypothesized that the Latin America Zika epidemic resulted in pregnant women and their partners adopting behavioral changes to limit risk, leading them to forego travel to Zika-affected locations. We evaluated this hypothesis by studying travelers’ intent and behavior through Twitter data related to babymoon: a holiday taken by parents-to-be before their baby is born. We found the odds of mentioning representative Zika-affected locations in #babymoon tweets dropped significantly (Odds ratio: 0.29, 95% CI: 0.20–0.40) after the Zika-microcephaly association became well-known. This result was further corroborated through a content analysis of #babymoon tweets mentioning Zika-affected locations, which identified if the Twitter user was physically present in the Zika-affected locations. Conversely, we found a small but statistically insignificant increase in the odds of mentioning Zika-free locations from #babymoon tweets (Odds Ratio: 1.11, 95% CI: 0.97–1.27) after the Zika-microcephaly association became well-known. Public Library of Science 2019-02-21 /pmc/articles/PMC6383918/ /pubmed/30789944 http://dx.doi.org/10.1371/journal.pone.0212507 Text en © 2019 Gallivan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gallivan, Mark Oppenheim, Ben Madhav, Nita K. Using social media to estimate Zika's impact on tourism: #babymoon, 2014-2017 |
title | Using social media to estimate Zika's impact on tourism: #babymoon, 2014-2017 |
title_full | Using social media to estimate Zika's impact on tourism: #babymoon, 2014-2017 |
title_fullStr | Using social media to estimate Zika's impact on tourism: #babymoon, 2014-2017 |
title_full_unstemmed | Using social media to estimate Zika's impact on tourism: #babymoon, 2014-2017 |
title_short | Using social media to estimate Zika's impact on tourism: #babymoon, 2014-2017 |
title_sort | using social media to estimate zika's impact on tourism: #babymoon, 2014-2017 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6383918/ https://www.ncbi.nlm.nih.gov/pubmed/30789944 http://dx.doi.org/10.1371/journal.pone.0212507 |
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