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Spatiotemporal Dynamics of COVID-19 Infections in Mainland Portugal

Author

Listed:
  • Melissa Silva

    (Associated Laboratory TERRA, Institute of Geography and Spatial Planning, University of Lisbon, 1649-004 Lisbon, Portugal)

  • Iuria Betco

    (Associated Laboratory TERRA, Institute of Geography and Spatial Planning, University of Lisbon, 1649-004 Lisbon, Portugal)

  • César Capinha

    (Associated Laboratory TERRA, Institute of Geography and Spatial Planning, University of Lisbon, 1649-004 Lisbon, Portugal)

  • Rita Roquette

    (NOVA IMS Information Management School, NOVA University of Lisbon, 1099-085 Lisbon, Portugal)

  • Cláudia M. Viana

    (Associated Laboratory TERRA, Institute of Geography and Spatial Planning, University of Lisbon, 1649-004 Lisbon, Portugal)

  • Jorge Rocha

    (Associated Laboratory TERRA, Institute of Geography and Spatial Planning, University of Lisbon, 1649-004 Lisbon, Portugal)

Abstract

The World Health Organization declared COVID-19 as a pandemic disease on 12 March 2020. Currently, this disease caused by the SARS-CoV-2 virus remains one of the biggest public health problems in the world. Thus, it is essential to apply methods that enable a better understanding of the virus diffusion processes, not only at the spatial level but also at the spatiotemporal one. To that end, we tried to understand the spatial distribution of COVID-19 pathology in continental Portugal at the municipal level and to comprehend how mobility influences transmission. We used autocorrelation indices such as Getis-Ord (with Euclidian distance and commuting values), Local Moran, and a new hybrid approach. Likewise, aiming to identify the spatiotemporal patterns of the virus propagation by using Man–Kendall statistics, we found that most hotspots of infected individuals occur in the municipalities of metropolitan areas. The spatiotemporal analysis identified most of the municipalities as oscillating hotspots.

Suggested Citation

  • Melissa Silva & Iuria Betco & César Capinha & Rita Roquette & Cláudia M. Viana & Jorge Rocha, 2022. "Spatiotemporal Dynamics of COVID-19 Infections in Mainland Portugal," Sustainability, MDPI, vol. 14(16), pages 1-28, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10370-:d:893308
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    References listed on IDEAS

    as
    1. Munazza Fatima & Kara J. O’Keefe & Wenjia Wei & Sana Arshad & Oliver Gruebner, 2021. "Geospatial Analysis of COVID-19: A Scoping Review," IJERPH, MDPI, vol. 18(5), pages 1-14, February.
    2. Geoffrey M. Jacquez, 2000. "Spatial analysis in epidemiology: Nascent science or a failure of GIS?," Journal of Geographical Systems, Springer, vol. 2(1), pages 91-97, March.
    3. Wentao Yang & Min Deng & Chaokui Li & Jincai Huang, 2020. "Spatio-Temporal Patterns of the 2019-nCoV Epidemic at the County Level in Hubei Province, China," IJERPH, MDPI, vol. 17(7), pages 1-11, April.
    4. Abolfazl Mollalo & Alireza Mohammadi & Sara Mavaddati & Behzad Kiani, 2021. "Spatial Analysis of COVID-19 Vaccination: A Scoping Review," IJERPH, MDPI, vol. 18(22), pages 1-14, November.
    5. Yongzhu Xiong & Yunpeng Wang & Feng Chen & Mingyong Zhu, 2020. "Spatial Statistics and Influencing Factors of the COVID-19 Epidemic at Both Prefecture and County Levels in Hubei Province, China," IJERPH, MDPI, vol. 17(11), pages 1-26, May.
    6. Yun Li & Moming Li & Megan Rice & Haoyuan Zhang & Dexuan Sha & Mei Li & Yanfang Su & Chaowei Yang, 2021. "The Impact of Policy Measures on Human Mobility, COVID-19 Cases, and Mortality in the US: A Spatiotemporal Perspective," IJERPH, MDPI, vol. 18(3), pages 1-23, January.
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