IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2004.03282.html
   My bibliography  Save this paper

Visualising the Evolution of English Covid-19 Cases with Topological Data Analysis Ball Mapper

Author

Listed:
  • Pawel Dlotko
  • Simon Rudkin

Abstract

Understanding disease spread through data visualisation has concentrated on trends and maps. Whilst these are helpful, they neglect important multi-dimensional interactions between characteristics of communities. Using the Topological Data Analysis Ball Mapper algorithm we construct an abstract representation of NUTS3 level economic data, overlaying onto it the confirmed cases of Covid-19 in England. In so doing we may understand how the disease spreads on different socio-economical dimensions. It is observed that some areas of the characteristic space have quickly raced to the highest levels of infection, while others close by in the characteristic space, do not show large infection growth. Likewise, we see patterns emerging in very different areas that command more monitoring. A strong contribution for Topological Data Analysis, and the Ball Mapper algorithm especially, in comprehending dynamic epidemic data is signposted.

Suggested Citation

  • Pawel Dlotko & Simon Rudkin, 2020. "Visualising the Evolution of English Covid-19 Cases with Topological Data Analysis Ball Mapper," Papers 2004.03282, arXiv.org, revised Apr 2020.
    • Handle: RePEc:arx:papers:2004.03282
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2004.03282
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Markowitz, Sara & Nesson, Erik & Robinson, Joshua J., 2019. "The effects of employment on influenza rates," Economics & Human Biology, Elsevier, vol. 34(C), pages 286-295.
    2. Thomas Barnay, 2016. "Health, work and working conditions: a review of the European economic literature," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 17(6), pages 693-709, July.
    3. Jérôme Adda, 2016. "Economic Activity and the Spread of Viral Diseases: Evidence from High Frequency Data," The Quarterly Journal of Economics, Oxford University Press, vol. 131(2), pages 891-941.
    4. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    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. Lewandowski, Piotr, 2020. "Occupational Exposure to Contagion and the Spread of COVID-19 in Europe," IZA Discussion Papers 13227, Institute of Labor Economics (IZA).
    2. Chen, Simiao & Jin, Zhangfeng & Bloom, David E., 2020. "Act Early to Prevent Infections and Save Lives: Causal Impact of Diagnostic Efficiency on the COVID-19 Pandemic," IZA Discussion Papers 13749, Institute of Labor Economics (IZA).
    3. YAMAMURA, Eiji & Tsutsui, Yoshiro, 2020. "Impact of closing schools on mental health during the COVID-19 pandemic: Evidence using panel data from Japan," MPRA Paper 105023, University Library of Munich, Germany.
    4. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    5. Fang, Hanming & Wang, Long & Yang, Yang, 2020. "Human mobility restrictions and the spread of the Novel Coronavirus (2019-nCoV) in China," Journal of Public Economics, Elsevier, vol. 191(C).
    6. Klaus F. Zimmermann & Gokhan Karabulut & Mehmet Huseyin Bilgin & Asli Cansin Doker, 2020. "Inter‐country distancing, globalisation and the coronavirus pandemic," The World Economy, Wiley Blackwell, vol. 43(6), pages 1484-1498, June.
    7. Bloom, David E. & Kuhn, Michael & Prettner, Klaus, 2020. "Modern Infectious Diseases: Macroeconomic Impacts and Policy Responses," IZA Discussion Papers 13625, Institute of Labor Economics (IZA).
    8. Syed Abul, Basher & A.K. Enamul, Haque, 2020. "Public Policy Lessons from the Covid-19 Outbreak: How to Deal with it in the Post-Pandemic World?," MPRA Paper 104337, University Library of Munich, Germany.
    9. Viktor Stojkoski & Zoran Utkovski & Petar Jolakoski & Dragan Tevdovski & Ljupco Kocarev, 2020. "The socio-economic determinants of the coronavirus disease (COVID-19) pandemic," Papers 2004.07947, arXiv.org, revised Nov 2020.
    10. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    11. Joanna Wyrobek, 2020. "The Use of Decision Trees for Analysis of the Potential Determinants for the Incidence of Deaths and Cases of Coronavirus (Covid-19) in Different Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 556-566.
    12. Liu, Ning & Chen, Zhuo & Bao, Guoxian, 2021. "Role of media coverage in mitigating COVID-19 transmission: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    13. Ramelli, Stefano & Wagner, Alexander F, 2020. "Feverish Stock Price Reactions to COVID-19," CEPR Discussion Papers 14511, C.E.P.R. Discussion Papers.
    14. Thomas Barnay & Éric Defebvre, 2019. "Gender Differences in the Influence of Mental Health on Job Retention," LABOUR, CEIS, vol. 33(4), pages 507-532, December.
    15. Brilli, Ylenia & Lucifora, Claudio & Russo, Antonio & Tonello, Marco, 2020. "Vaccination take-up and health: Evidence from a flu vaccination program for the elderly," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 323-341.
    16. Markowitz, Sara & Nesson, Erik & Robinson, Joshua J., 2019. "The effects of employment on influenza rates," Economics & Human Biology, Elsevier, vol. 34(C), pages 286-295.
    17. Bognanni, Mark & Hanley, Doug & Kolliner, Daniel & Mitman, Kurt, 2020. "Economics and Epidemics: Evidence from an Estimated Spatial Econ-SIR Model," IZA Discussion Papers 13797, Institute of Labor Economics (IZA).
    18. Costa-Font, Joan & Ljunge, Martin, 2018. "The ‘healthy worker effect’: Do healthy people climb the occupational ladder?," Economics & Human Biology, Elsevier, vol. 28(C), pages 119-131.
    19. Bruno Carvalho & Susana Peralta & Joao Pereira dos Santos, 2020. "What and how did people buy during the Great Lockdown? Evidence from electronic payments," Working Papers ECARES 2020-20, ULB -- Universite Libre de Bruxelles.
    20. Allison Milner & Yamna Taouk & George Disney & Zoe Aitken & Jerome Rachele & Anne Kavanagh, 2018. "Employment predictors of exit from work among workers with disabilities: A survival analysis from the household income labour dynamics in Australia survey," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-14, December.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:arx:papers:2004.03282. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (arXiv administrators). General contact details of provider: http://arxiv.org/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.