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Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa

The dataset investigates the magnitude of the misinformation content influencing scepticisms about the novel COVID-19 pandemic in Africa. The data is collected via an electronic questionnaire method and twenty-one Africa countries randomly participated. Responses were received from all the five regi...

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Detalles Bibliográficos
Autores principales: Akintande, Olalekan, Olubusoye, Olusanya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366989/
https://www.ncbi.nlm.nih.gov/pubmed/32754628
http://dx.doi.org/10.1016/j.dib.2020.106031
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author Akintande, Olalekan
Olubusoye, Olusanya
author_facet Akintande, Olalekan
Olubusoye, Olusanya
author_sort Akintande, Olalekan
collection PubMed
description The dataset investigates the magnitude of the misinformation content influencing scepticisms about the novel COVID-19 pandemic in Africa. The data is collected via an electronic questionnaire method and twenty-one Africa countries randomly participated. Responses were received from all the five regions of Africa. The data is structured to identify some leading misinformation been propagated in the media. For data, in brief, we performed a descriptive analysis of the data and also examine the degree of each selected misinformation contents on the immune perception of respondents using Confirmatory Factor Analysis. Another research can use the dataset to investigate how misinformation and religion misconception promote ignorance about disease or pandemic in Africa or the dataset could serve as supplementary material for further investigation of COVID-19 pandemic in Africa.
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spelling pubmed-73669892020-07-20 Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa Akintande, Olalekan Olubusoye, Olusanya Data Brief Mathematics The dataset investigates the magnitude of the misinformation content influencing scepticisms about the novel COVID-19 pandemic in Africa. The data is collected via an electronic questionnaire method and twenty-one Africa countries randomly participated. Responses were received from all the five regions of Africa. The data is structured to identify some leading misinformation been propagated in the media. For data, in brief, we performed a descriptive analysis of the data and also examine the degree of each selected misinformation contents on the immune perception of respondents using Confirmatory Factor Analysis. Another research can use the dataset to investigate how misinformation and religion misconception promote ignorance about disease or pandemic in Africa or the dataset could serve as supplementary material for further investigation of COVID-19 pandemic in Africa. Elsevier 2020-07-17 /pmc/articles/PMC7366989/ /pubmed/32754628 http://dx.doi.org/10.1016/j.dib.2020.106031 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Mathematics
Akintande, Olalekan
Olubusoye, Olusanya
Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa
title Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa
title_full Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa
title_fullStr Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa
title_full_unstemmed Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa
title_short Datasets on how misinformation promotes immune perception of COVID-19 pandemic in Africa
title_sort datasets on how misinformation promotes immune perception of covid-19 pandemic in africa
topic Mathematics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7366989/
https://www.ncbi.nlm.nih.gov/pubmed/32754628
http://dx.doi.org/10.1016/j.dib.2020.106031
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