IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i17p9227-d627083.html
   My bibliography  Save this article

Multivariate Analysis of Risk Factors of the COVID-19 Pandemic in the Community of Madrid, Spain

Author

Listed:
  • Víctor Pérez-Segura

    (University Institute of Studies on Migrations, Comillas Pontifical University, 28015 Madrid, Spain)

  • Raquel Caro-Carretero

    (Industrial Organization Department, ICAI-School of Engineering, Comillas Pontifical University, 28015 Madrid, Spain)

  • Antonio Rua

    (Department of Quantitative Methods, Comillas Pontifical University, 28015 Madrid, Spain)

Abstract

It has been more than one year since Chinese authorities identified a deadly new strain of coronavirus, SARS-CoV-2. Since then, the scientific work regarding the transmission risk factors of COVID-19 has been intense. The relationship between COVID-19 and environmental conditions is becoming an increasingly popular research topic. Based on the findings of the early research, we focused on the community of Madrid, Spain, which is one of the world’s most significant pandemic hotspots. We employed different multivariate statistical analyses, including principal component analysis, analysis of variance, clustering, and linear regression models. Principal component analysis was employed in order to reduce the number of risk factors down to three new components that explained 71% of the original variance. Cluster analysis was used to delimit the territory of Madrid according to these new risk components. An ANOVA test revealed different incidence rates between the territories delimited by the previously identified components. Finally, a set of linear models was applied to demonstrate how environmental factors present a greater influence on COVID-19 infections than socioeconomic dimensions. This type of local research provides valuable information that could help societies become more resilient in the face of future pandemics.

Suggested Citation

  • Víctor Pérez-Segura & Raquel Caro-Carretero & Antonio Rua, 2021. "Multivariate Analysis of Risk Factors of the COVID-19 Pandemic in the Community of Madrid, Spain," IJERPH, MDPI, vol. 18(17), pages 1-14, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:17:p:9227-:d:627083
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/17/9227/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/17/9227/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Allcott, Hunt & Boxell, Levi & Conway, Jacob & Gentzkow, Matthew & Thaler, Michael & Yang, David, 2020. "Polarization and public health: Partisan differences in social distancing during the coronavirus pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. Zeileis, Achim, 2006. "Object-oriented Computation of Sandwich Estimators," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 16(i09).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Beth Ann Griffin & Megan S. Schuler & Elizabeth A. Stuart & Stephen Patrick & Elizabeth McNeer & Rosanna Smart & David Powell & Bradley Stein & Terry Schell & Rosalie Liccardo Pacula, 2020. "Variation in Performance of Commonly Used Statistical Methods for Estimating Effectiveness of State-Level Opioid Policies on Opioid-Related Mortality," NBER Working Papers 27029, National Bureau of Economic Research, Inc.
    2. Sakari Lähdemäki, 2017. "Traditional convergence tests with Penn World Table 9.0," Working Papers 309, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.
    3. Jochen Heberle & Cristina Sattarhoff, 2017. "A Fast Algorithm for the Computation of HAC Covariance Matrix Estimators," Econometrics, MDPI, vol. 5(1), pages 1-16, January.
    4. Michal Engelman & Christopher L. Seplaki & Ravi Varadhan, 2017. "A Quiescent Phase in Human Mortality? Exploring the Ages of Least Vulnerability," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 1097-1118, June.
    5. Ting Wang & Benjamin Graves & Yves Rosseel & Edgar C. Merkle, 2022. "Computation and application of generalized linear mixed model derivatives using lme4," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 1173-1193, September.
    6. Dominik Schreyer, 2019. "Football spectator no-show behaviour in the German Bundesliga," Applied Economics, Taylor & Francis Journals, vol. 51(45), pages 4882-4901, September.
    7. Fors, Gunnar & Zejan, Mario, 1996. "Overseas R&D by Multinationals in foreign Centers of Excellence," SSE/EFI Working Paper Series in Economics and Finance 111, Stockholm School of Economics.
    8. repec:spo:wpmain:info:hdl:2441/7172 is not listed on IDEAS
    9. MacKinnon, J G, 1989. "Heteroskedasticity-Robust Tests for Structural Change," Empirical Economics, Springer, vol. 14(2), pages 77-92.
    10. Fenech, Jean-Pierre & Skully, Michael & Xuguang, Han, 2014. "Franking credits and market reactions: Evidence from the Australian convertible security market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 1-19.
    11. Bliss, Mark A. & Gul, Ferdinand A., 2012. "Political connection and leverage: Some Malaysian evidence," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2344-2350.
    12. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    13. Son K. Lam & Thomas E. DeCarlo & Ashish Sharma, 2019. "Salesperson ambidexterity in customer engagement: do customer base characteristics matter?," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 659-680, July.
    14. David A. Volkman, 1999. "Market Volatility And Perverse Timing Performance Of Mutual Fund Managers," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(4), pages 449-470, December.
    15. Goncalves, Silvia & Kilian, Lutz, 2004. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 123(1), pages 89-120, November.
    16. Daron Acemoglu & Philippe Aghion & Claire Lelarge & John Van Reenen & Fabrizio Zilibotti, 2007. "Technology, Information, and the Decentralization of the Firm," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(4), pages 1759-1799.
    17. Daiki Maki, 2015. "Wild bootstrap tests for unit root in ESTAR models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 475-490, September.
    18. Akinyosoye, Vincent O., 2007. "Demand For Dairy Products In Nigeria: Evidence From The Nigerian," Journal of Rural Economics and Development, University of Ibadan, Department of Agricultural Economics, vol. 16, pages 1-14.
    19. Arthur C. Brooks, 2001. "Private Philanthropy and the Economics of Public Radio," Center for Policy Research Working Papers 41, Center for Policy Research, Maxwell School, Syracuse University.
    20. Alfred Garloff & Carsten Pohl & Norbert Schanne, 2013. "Do small labor market entry cohorts reduce unemployment?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(15), pages 379-406.
    21. Stolowy, Hervé & Jeanjean, Thomas & Erkens, Michael, 2011. "The economic consequences of increasing the international visibility of financial reports," HEC Research Papers Series 957, HEC Paris.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:17:p:9227-:d:627083. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.