Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1783696684750995456 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8143090 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT roysatyaki acomparativestudyondistancingmaskandvaccineadoptionratesfromglobaltwittertrends AT ghoshpreetam acomparativestudyondistancingmaskandvaccineadoptionratesfromglobaltwittertrends AT roysatyaki comparativestudyondistancingmaskandvaccineadoptionratesfromglobaltwittertrends AT ghoshpreetam comparativestudyondistancingmaskandvaccineadoptionratesfromglobaltwittertrends |