Big data insight on global mobility during the Covid-19 pandemic lockdown

The Covid-19 pandemic that began in the city of Wuhan in China has caused a huge number of deaths worldwide. Countries have introduced spatial restrictions on movement and social distancing in response to the rapid rate of SARS-Cov-2 transmission among its populations. Research originality lies in t...

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Bibliographic Details
Published in:Journal of big data 2021-06, Vol.8 (1), p.78-78, Article 78
Main Authors: Sadowski, Adam, Galar, Zbigniew, Walasek, Robert, Zimon, Grzegorz, Engelseth, Per
Format: Article
Language:English
Subjects:
Big Data
Communications Engineering
Computational Science and Engineering
Computer Science
Coronaviruses
Correlation
COVID-19
Data Mining and Knowledge Discovery
Database Management
Disease control
Disease transmission
Economics: 210
Groceries
Human dynamics
Human mobility
Information Storage and Retrieval
Lockdown
Mathematical Applications in Computer Science
Mobility
Networks
Pandemics
Recreation areas
Samfunnsvitenskap: 200
Severe acute respiratory syndrome coronavirus 2
Social science: 200
VDP
Workplaces
Økonomi: 210
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Summary:The Covid-19 pandemic that began in the city of Wuhan in China has caused a huge number of deaths worldwide. Countries have introduced spatial restrictions on movement and social distancing in response to the rapid rate of SARS-Cov-2 transmission among its populations. Research originality lies in the taken global perspective revealing indication of significant relationships between changes in mobility and the number of Covid-19 cases. The study uncovers a time offset between the two applied databases, Google Mobility and John Hopkins University, influencing correlations between mobility and pandemic development. Analyses reveals a link between the introduction of lockdown and the number of new Covid-19 cases. Types of mobility with the most significant impact on the development of the pandemic are “retail and recreation areas", "transit stations", "workplaces" "groceries and pharmacies”. The difference in the correlation between the lockdown introduced and the number of SARS-COV-2 cases is 81%, when using a 14-day weighted average compared to the 7-day average. Moreover, the study reveals a strong geographical diversity in human mobility and its impact on the number of new Covid-19 cases.
ISSN:2196-1115
2196-1115
DOI:10.1186/s40537-021-00474-2