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A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends

COVID-19 is a global health emergency that has fundamentally altered human life. Public perception about COVID-19 greatly informs public policymaking and charts the course of present and future mitigation strategies. Existing approaches to gain insights into the evolving nature of public opinion has...

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Detalles Bibliográficos
Autores principales: Roy, Satyaki, Ghosh, Preetam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8143090/
https://www.ncbi.nlm.nih.gov/pubmed/33919097
http://dx.doi.org/10.3390/healthcare9050488
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author Roy, Satyaki
Ghosh, Preetam
author_facet Roy, Satyaki
Ghosh, Preetam
author_sort Roy, Satyaki
collection PubMed
description COVID-19 is a global health emergency that has fundamentally altered human life. Public perception about COVID-19 greatly informs public policymaking and charts the course of present and future mitigation strategies. Existing approaches to gain insights into the evolving nature of public opinion has led to the application of natural language processing on public interaction data acquired from online surveys and social media. In this work, we apply supervised and unsupervised machine learning approaches on global Twitter data to learn the opinions about adoption of mitigation strategies such as social distancing, masks, and vaccination, as well as the effect of socioeconomic, demographic, political, and epidemiological features on perceptions. Our study reveals the uniform polarity in public sentiment on the basis of spatial proximity or COVID-19 infection rates. We show the reservation about the adoption of social distancing and vaccination across the world and also quantify the influence of airport traffic, homelessness, followed by old age and race on sentiment of netizens within the US.
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spelling pubmed-81430902021-05-25 A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends Roy, Satyaki Ghosh, Preetam Healthcare (Basel) Article COVID-19 is a global health emergency that has fundamentally altered human life. Public perception about COVID-19 greatly informs public policymaking and charts the course of present and future mitigation strategies. Existing approaches to gain insights into the evolving nature of public opinion has led to the application of natural language processing on public interaction data acquired from online surveys and social media. In this work, we apply supervised and unsupervised machine learning approaches on global Twitter data to learn the opinions about adoption of mitigation strategies such as social distancing, masks, and vaccination, as well as the effect of socioeconomic, demographic, political, and epidemiological features on perceptions. Our study reveals the uniform polarity in public sentiment on the basis of spatial proximity or COVID-19 infection rates. We show the reservation about the adoption of social distancing and vaccination across the world and also quantify the influence of airport traffic, homelessness, followed by old age and race on sentiment of netizens within the US. MDPI 2021-04-21 /pmc/articles/PMC8143090/ /pubmed/33919097 http://dx.doi.org/10.3390/healthcare9050488 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Roy, Satyaki
Ghosh, Preetam
A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends
title A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends
title_full A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends
title_fullStr A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends
title_full_unstemmed A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends
title_short A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends
title_sort comparative study on distancing, mask and vaccine adoption rates from global twitter trends
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8143090/
https://www.ncbi.nlm.nih.gov/pubmed/33919097
http://dx.doi.org/10.3390/healthcare9050488
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