Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China
The recent emergence of a new coronavirus (COVID-19) has gained a high cover in public media and worldwide news. The virus has caused a viral pneumonia in tens of thousands of people in Wuhan, a central city of China. This short paper gives a brief introduction on how the demand for information on t...
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doaj-3884e33fc0bc4082a987c86eaf9a0b7c2021-09-02T15:32:13ZengInternational Association of Online Engineering (IAOE)International Journal of Online and Biomedical Engineering2626-84932020-04-01160413914610.3991/ijoe.v16i04.135315745Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, ChinaArtur Strzelecki0Mariia Rizun1University of Economics in KatowiceUniversity of Economics in KatowiceThe recent emergence of a new coronavirus (COVID-19) has gained a high cover in public media and worldwide news. The virus has caused a viral pneumonia in tens of thousands of people in Wuhan, a central city of China. This short paper gives a brief introduction on how the demand for information on this new epidemic is reported through Google Trends. The reported period is 31 December 2020 to 20 March 2020. The authors draw conclusions on current infodemiological data on COVID-19 using three main search keywords: coronavirus, SARS and MERS. Two approaches are set. First is the worldwide perspective, second – the Chinese one, which reveals that in China this disease in the first days was more often referred to SARS then to general coronaviruses, whereas worldwide, since the beginning, it is more often referred to coronaviruses.https://online-journals.org/index.php/i-joe/article/view/13531coronavirusgoogle trendsinfodemiologycovid-19sarsmers |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Artur Strzelecki Mariia Rizun |
spellingShingle |
Artur Strzelecki Mariia Rizun Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China International Journal of Online and Biomedical Engineering coronavirus google trends infodemiology covid-19 sars mers |
author_facet |
Artur Strzelecki Mariia Rizun |
author_sort |
Artur Strzelecki |
title |
Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China |
title_short |
Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China |
title_full |
Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China |
title_fullStr |
Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China |
title_full_unstemmed |
Infodemiological Study Using Google Trends on Coronavirus Epidemic in Wuhan, China |
title_sort |
infodemiological study using google trends on coronavirus epidemic in wuhan, china |
publisher |
International Association of Online Engineering (IAOE) |
series |
International Journal of Online and Biomedical Engineering |
issn |
2626-8493 |
publishDate |
2020-04-01 |
description |
The recent emergence of a new coronavirus (COVID-19) has gained a high cover in public media and worldwide news. The virus has caused a viral pneumonia in tens of thousands of people in Wuhan, a central city of China. This short paper gives a brief introduction on how the demand for information on this new epidemic is reported through Google Trends. The reported period is 31 December 2020 to 20 March 2020. The authors draw conclusions on current infodemiological data on COVID-19 using three main search keywords: coronavirus, SARS and MERS. Two approaches are set. First is the worldwide perspective, second – the Chinese one, which reveals that in China this disease in the first days was more often referred to SARS then to general coronaviruses, whereas worldwide, since the beginning, it is more often referred to coronaviruses. |
topic |
coronavirus google trends infodemiology covid-19 sars mers |
url |
https://online-journals.org/index.php/i-joe/article/view/13531 |
work_keys_str_mv |
AT arturstrzelecki infodemiologicalstudyusinggoogletrendsoncoronavirusepidemicinwuhanchina AT mariiarizun infodemiologicalstudyusinggoogletrendsoncoronavirusepidemicinwuhanchina |
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1721173341173186560 |