Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population during the COVID-19 Pandemic
Research Center for Territory, Transports and Environment, Department of Civil Engineering, University of Coimbra, 3030-788 Coimbra, Portugal
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Sustainability 2020, 12(22), 9775; https://doi.org/10.3390/su12229775
Received: 14 October 2020 / Revised: 19 November 2020 / Accepted: 20 November 2020 / Published: 23 November 2020
(This article belongs to the Collection Sustainable Traffic Variation, Development and Analysis under COVID-19 Influence)
SARS-CoV-2 emerged in late 2019. Since then, it has spread to several countries, becoming classified as a pandemic. So far, there is no definitive treatment or vaccine, so the best solution is to prevent transmission between individuals through social distancing. However, it is not easy to measure the effectiveness of these distance measures. Therefore, this study uses data from Google COVID-19 Community Mobility Reports to understand the Portuguese population’s mobility patterns during the COVID-19 pandemic. In this study, the Rt value was modeled for Portugal. In addition, the changepoint was calculated for the population mobility patterns. Thus, the mobility pattern change was used to understand the impact of social distance measures on the dissemination of COVID-19. As a result, it can be stated that the initial Rt value in Portugal was very close to 3, falling to values close to 1 after 25 days. Social isolation measures were adopted quickly. Furthermore, it was observed that public transport was avoided during the pandemic. Finally, until the emergence of a vaccine or an effective treatment, this is the new normal, and it must be understood that new patterns of mobility, social interaction, and hygiene must be adapted to this reality.
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Keywords:
COVID-19; mobility patterns; Rt; changepoint; modeling; Portugal
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MDPI and ACS Style
Tamagusko, T.; Ferreira, A. Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population during the COVID-19 Pandemic. Sustainability 2020, 12, 9775. https://doi.org/10.3390/su12229775
AMA Style
Tamagusko T, Ferreira A. Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population during the COVID-19 Pandemic. Sustainability. 2020; 12(22):9775. https://doi.org/10.3390/su12229775
Chicago/Turabian StyleTamagusko, Tiago, and Adelino Ferreira. 2020. "Data-Driven Approach to Understand the Mobility Patterns of the Portuguese Population during the COVID-19 Pandemic" Sustainability 12, no. 22: 9775. https://doi.org/10.3390/su12229775
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