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Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data
Opinion polls on vaccine uptake clearly show that Covid-19 vaccine hesitancy is increasing worldwide. Thus, reaching herd immunity not only depends on the efficacy of the vaccine itself, but also on overcoming this hesitancy of uptake in the population. In this study, we revealed the determinants re...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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IEEE
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545202/ https://www.ncbi.nlm.nih.gov/pubmed/34786320 http://dx.doi.org/10.1109/ACCESS.2021.3115554 |
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collection | PubMed |
description | Opinion polls on vaccine uptake clearly show that Covid-19 vaccine hesitancy is increasing worldwide. Thus, reaching herd immunity not only depends on the efficacy of the vaccine itself, but also on overcoming this hesitancy of uptake in the population. In this study, we revealed the determinants regarding vaccination directly from people’s opinions on Twitter, based on the framework of the 6As taxonomy. Covid-19 vaccine acceptance depends mostly on the characteristics of new vaccines (i.e. their safety, side effects, effectiveness, etc.), and the national vaccination strategy (i.e. immunization schedules, quantities of vaccination points and their localization, etc.), which should focus on increasing citizens’ awareness, among various other factors. The results of this study point to areas for potentially improving mass campaigns of Covid-19 immunization to increase vaccine uptake and its coverage and also provide insight into possible directions of future research. |
format | Online Article Text |
id | pubmed-8545202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | IEEE |
record_format | MEDLINE/PubMed |
spelling | pubmed-85452022021-11-12 Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data IEEE Access Science - General Opinion polls on vaccine uptake clearly show that Covid-19 vaccine hesitancy is increasing worldwide. Thus, reaching herd immunity not only depends on the efficacy of the vaccine itself, but also on overcoming this hesitancy of uptake in the population. In this study, we revealed the determinants regarding vaccination directly from people’s opinions on Twitter, based on the framework of the 6As taxonomy. Covid-19 vaccine acceptance depends mostly on the characteristics of new vaccines (i.e. their safety, side effects, effectiveness, etc.), and the national vaccination strategy (i.e. immunization schedules, quantities of vaccination points and their localization, etc.), which should focus on increasing citizens’ awareness, among various other factors. The results of this study point to areas for potentially improving mass campaigns of Covid-19 immunization to increase vaccine uptake and its coverage and also provide insight into possible directions of future research. IEEE 2021-09-24 /pmc/articles/PMC8545202/ /pubmed/34786320 http://dx.doi.org/10.1109/ACCESS.2021.3115554 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Science - General Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data |
title | Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data |
title_full | Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data |
title_fullStr | Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data |
title_full_unstemmed | Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data |
title_short | Mapping of the Covid-19 Vaccine Uptake Determinants From Mining Twitter Data |
title_sort | mapping of the covid-19 vaccine uptake determinants from mining twitter data |
topic | Science - General |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545202/ https://www.ncbi.nlm.nih.gov/pubmed/34786320 http://dx.doi.org/10.1109/ACCESS.2021.3115554 |
work_keys_str_mv | AT mappingofthecovid19vaccineuptakedeterminantsfromminingtwitterdata |