Data mining and analysis of scientific research data records on Covid- 19 mortality, immunity, and vaccine development - In the first wave of the Covid-19 pandemic
Fecha
2020Autor
Radanliev, Petar
De Roure, David
Walton, Rob
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Resumen
Background and aims: Covid-19 is a global pandemic that requires a global and integrated response of all
national medical and healthcare systems. Covid-19 exposed the need for timely response and data
sharing on fast spreading global pandemics. In this study, we investigate the scientific research response
from the early stages of the pandemic, and we review key findings on how the early warning systems
developed in previous epidemics responded to contain the virus.
Methods: We conducted data mining of scientific literature records from the Web of Science Core
Collection, using the topics Covid-19, mortality, immunity, and vaccine. The individual records are
analysed in isolation, and the analysis is compared with records on all Covid-19 research topics combined. The data records are analysed with commutable statistical methods, including R Studio’s Bibliometrix package, and the Web of Science data mining tool.
Results: From historical analysis of scientific data records on viruses, pandemics and mortality, we
identified that Chinese universities have not been leading on these topics historically. However, during
the early stages of the Covid-19 pandemic, the Chinese universities are strongly dominating the research
on these topics. Despite the current political and trade disputes, we found strong collaboration in Covid19 research between the US and China. From the analysis on Covid-19 and immunity, we wanted to
identify the relationship between different risk factors discussed in the news media. We identified a few
clusters, containing references to exercise, inflammation, smoking, obesity and many additional factors.
From the analysis on Covid-19 and vaccine, we discovered that although the USA is leading in volume of
scientific research on Covid-19 vaccine, the leading 3 research institutions (Fudan, Melbourne, Oxford)
are not based in the USA. Hence, it is difficult to predict which country would be first to produce a Covid19 vaccine.
Conclusions: We analysed the conceptual structure maps with factorial analysis and multiple correspondence analysis (MCA), and identified multiple relationships between keywords, synonyms and
concepts, related to Covid-19 mortality, immunity, and vaccine development. We present integrated and
corelated knowledge from 276 records on Covid-19 and mortality, 71 records on Covid-19 and immunity,
and 189 records on Covid-19 vaccine
Palabras clave
Covid-19; Mortality; Immunity; Vaccine; Computable statistical analysis; Data miningEnlace al recurso
https://doi.org/10.1016/j.dsx.2020.06.063Colecciones
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