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Facing a Second Wave from a Regional View: Spatial Patterns of COVID-19 as a Key Determinant for Public Health and Geoprevention Plans

Author

Listed:
  • Olga De Cos

    (Department of Geography, Urbanism and Land Planning, University of Cantabria, 39005 Santander, Spain
    Research Group of Health Economics and Health Services Management–Research Institute Marqués de Valdecilla (IDIVAL), 39011 Santander, Spain)

  • Valentín Castillo

    (Department of Geography, Urbanism and Land Planning, University of Cantabria, 39005 Santander, Spain
    Research Group of Health Economics and Health Services Management–Research Institute Marqués de Valdecilla (IDIVAL), 39011 Santander, Spain)

  • David Cantarero

    (Research Group of Health Economics and Health Services Management–Research Institute Marqués de Valdecilla (IDIVAL), 39011 Santander, Spain
    Department of Economics, University of Cantabria, 39005 Santander, Spain)

Abstract

Several studies on spatial patterns of COVID-19 show huge differences depending on the country or region under study, although there is some agreement that socioeconomic factors affect these phenomena. The aim of this paper is to increase the knowledge of the socio-spatial behavior of coronavirus and implementing a geospatial methodology and digital system called SITAR (Fast Action Territorial Information System, by its Spanish acronym). We analyze as a study case a region of Spain called Cantabria, geocoding a daily series of microdata coronavirus records provided by the health authorities (Government of Cantabria—Spain) with the permission of Medicines Ethics Committee from Cantabria (CEIm, June 2020). Geocoding allows us to provide a new point layer based on the microdata table that includes cases with a positive result in a COVID-19 test. Regarding general methodology, our research is based on Geographical Information Technologies using Environmental Systems Research Institute (ESRI) Technologies. This tool is a global reference for spatial COVID-19 research, probably due to the world-renowned COVID-19 dashboard implemented by the Johns Hopkins University team. In our analysis, we found that the spatial distribution of COVID-19 in urban locations presents a not random distribution with clustered patterns and density matters in the spread of the COVID-19 pandemic. As a result, large metropolitan areas or districts with a higher number of persons tightly linked together through economic, social, and commuting relationships are the most vulnerable to pandemic outbreaks, particularly in our case study. Furthermore, public health and geoprevention plans should avoid the idea of economic or territorial stigmatizations. We hold the idea that SITAR in particular and Geographic Information Technologies in general contribute to strategic spatial information and relevant results with a necessary multi-scalar perspective to control the pandemic.

Suggested Citation

  • Olga De Cos & Valentín Castillo & David Cantarero, 2020. "Facing a Second Wave from a Regional View: Spatial Patterns of COVID-19 as a Key Determinant for Public Health and Geoprevention Plans," IJERPH, MDPI, vol. 17(22), pages 1-18, November.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:22:p:8468-:d:445587
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    References listed on IDEAS

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    1. Charulata Jindal & Sandeep Kumar & Sunil Sharma & Yuk Ming Choi & Jimmy T. Efird, 2020. "The Prevention and Management of COVID-19: Seeking a Practical and Timely Solution," IJERPH, MDPI, vol. 17(11), pages 1-11, June.
    2. Liliana Cori & Fabrizio Bianchi & Ennio Cadum & Carmen Anthonj, 2020. "Risk Perception and COVID-19," IJERPH, MDPI, vol. 17(9), pages 1-6, April.
    3. George J. Borjas, 2020. "Demographic Determinants of Testing Incidence and COVID-19 Infections in New York City Neighborhoods," NBER Working Papers 26952, National Bureau of Economic Research, Inc.
    4. Shima Hamidi & Sadegh Sabouri & Reid Ewing, 2020. "Does Density Aggravate the COVID-19 Pandemic?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 86(4), pages 495-509, October.
    5. Carozzi, Felipe & Provenzano, Sandro & Roth, Sefi, 2020. "Urban Density and COVID-19," IZA Discussion Papers 13440, Institute of Labor Economics (IZA).
    6. Israel Edem Agbehadji & Bankole Osita Awuzie & Alfred Beati Ngowi & Richard C. Millham, 2020. "Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing," IJERPH, MDPI, vol. 17(15), pages 1-16, July.
    7. Carozzi, Felipe & Provenzano, Sandro & Roth, Sefi, 2020. "Urban density and Covid-19," LSE Research Online Documents on Economics 108484, London School of Economics and Political Science, LSE Library.
    8. Felipe Carozzi & Sandro Provenzano & Sefi Roth, 2020. "Urban density and Covid-19," CEP Discussion Papers dp1711, Centre for Economic Performance, LSE.
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