IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0208393.html
   My bibliography  Save this article

The effect of breed-specific dog legislation on hospital treated dog bites in Odense, Denmark—A time series intervention study

Author

Listed:
  • Finn Nilson
  • John Damsager
  • Jens Lauritsen
  • Carl Bonander

Abstract

As dog bite injuries are a considerable problem in modern society, in order to reduce such injuries, breed-specific legislation has been introduced in a number of countries. Whilst many studies have shown a lack of effect with such legislation, the commonly used methodology is known to be flawed. Therefore, the aim of this study is to investigate the effect of the Danish breed-specific legislation on the number of dog bite injuries using more credible methods. A time series intervention method was used on a detailed dataset from Odense University Hospital, Denmark, regarding dog bite injuries presented to the emergency department. The results indicate that banning certain breeds has a highly limited effect on the overall levels of dog bite injuries, and that an enforcement of the usage of muzzle and leash in public places for these breeds also has a limited effect. Despite using more credible and sound methods, this study supports previous studies showing that breed-specific legislation seems to have no effect on dog bite injuries. In order to minimise dog bite injuries in the future, it would seem that other interventions or non-breed-specific legislation should be considered as the primary option.

Suggested Citation

  • Finn Nilson & John Damsager & Jens Lauritsen & Carl Bonander, 2018. "The effect of breed-specific dog legislation on hospital treated dog bites in Odense, Denmark—A time series intervention study," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-8, December.
    • Handle: RePEc:plo:pone00:0208393
    DOI: 10.1371/journal.pone.0208393
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0208393
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0208393&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0208393?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2015. "Comparative Politics and the Synthetic Control Method," American Journal of Political Science, John Wiley & Sons, vol. 59(2), pages 495-510, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lori R. Kogan & Wendy Packman & Phyllis Erdman & Jennifer Currin-McCulloch & Cori Bussolari, 2022. "US Adults’ Perceptions of Dog Breed Bans, Dog Aggression and Breed-Specific Laws," IJERPH, MDPI, vol. 19(16), pages 1-15, August.
    2. Lori R. Kogan & Regina M. Schoenfeld-Tacher & Peter W. Hellyer & James A. Oxley & Mark Rishniw, 2019. "Small Animal Veterinarians’ Perceptions, Experiences, and Views of Common Dog Breeds, Dog Aggression, and Breed-Specific Laws in the United States," IJERPH, MDPI, vol. 16(21), pages 1-15, October.
    3. Sara C. Owczarczak-Garstecka & Robert M. Christley & Francine Watkins & Huadong Yang & Carri Westgarth, 2021. "“ If You Don’t See the Dog, What Can You Do?” Using Procedures to Negotiate the Risk of Dog Bites in Occupational Contexts," IJERPH, MDPI, vol. 18(14), pages 1-20, July.

    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. Lily Fesler & Lindsay Fox, "undated". "No-Deadlines Synthetic Control and Exploratory Outcomes Analysis and Recommendations for a Future Rigorous Evaluation," Mathematica Policy Research Reports 7f6e51822ad4458086c4b1394, Mathematica Policy Research.
    2. Echevarría, Cruz A. & Hasancebi, Serhat & García-Enríquez, Javier, 2022. "Economic Effects of Macao’s Integration with Mainland China: A Causal Inference Study," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 37(2), pages 179-215.
    3. Nicolaj N. Mühlbach, 2020. "Tree-based Synthetic Control Methods: Consequences of moving the US Embassy," CREATES Research Papers 2020-04, Department of Economics and Business Economics, Aarhus University.
    4. Daniel Albalate & Germà Bel & Ferran A. Mazaira-Font, 2020. "Ensuring Stability, Accuracy and Meaningfulness in Synthetic Control Methods: The Regularized SHAP-Distance Method," IREA Working Papers 202005, University of Barcelona, Research Institute of Applied Economics, revised Apr 2020.
    5. Marçal, Emerson Fernandes & Cunha, Ronan & Merlin, Giovanni Tondin & Simões, Oscar, 2017. "The aftermath of 2008 turmoil on Brazilian economy: Tsunami or “Marolinha”?," Textos para discussão 459, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    6. Bruno Ferman & Cristine Pinto & Vitor Possebom, 2020. "Cherry Picking with Synthetic Controls," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 510-532, March.
    7. Manuel Funke & Moritz Schularick & Christoph Trebesch, 2023. "Populist Leaders and the Economy," American Economic Review, American Economic Association, vol. 113(12), pages 3249-3288, December.
    8. Maximiliano Marzetti & Rok Spruk, 2023. "Long-Term Economic Effects of Populist Legal Reforms: Evidence from Argentina," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(1), pages 60-95, March.
    9. Chiara Cavaglia & Sandra McNally & Henry G. Overman, 2020. "Devolving Skills: The Case of the Apprenticeship Grant for Employers," Fiscal Studies, John Wiley & Sons, vol. 41(4), pages 829-849, December.
    10. Nimonka Bayale & Pouwemdéou Tchila & Jacques‐Patrick Arnold Yao & Honoré Tenakoua, 2022. "Do tax administration reforms improve tax revenue performance in Togo? Empirical insights from experimental approaches," South African Journal of Economics, Economic Society of South Africa, vol. 90(2), pages 196-213, June.
    11. Chuku Chuku & Mustafa Yasin Yenice, 2021. "Working Paper 356 - Eurobonds, debt sustainability and macroeconomic performance in Africa: Synthetic controlled experiments," Working Paper Series 2482, African Development Bank.
    12. Yanwen Wang & Chunhua Wu & Ting Zhu, 2019. "Mobile Hailing Technology and Taxi Driving Behaviors," Marketing Science, INFORMS, vol. 38(5), pages 734-755, September.
    13. Bibek Adhikari & Romain Duval & Bingjie Hu & Prakash Loungani, 2018. "Can Reform Waves Turn the Tide? Some Case Studies using the Synthetic Control Method," Open Economies Review, Springer, vol. 29(4), pages 879-910, September.
    14. Sadeghi, Ali & Kibler, Ewald, 2022. "Do bankruptcy laws matter for entrepreneurship? A Synthetic Control Method analysis of a bankruptcy reform in Finland," Journal of Business Venturing Insights, Elsevier, vol. 18(C).
    15. Davide Viviano & Jelena Bradic, 2019. "Synthetic learner: model-free inference on treatments over time," Papers 1904.01490, arXiv.org, revised Aug 2022.
    16. Raffaello Bronzini & Sauro Mocetti & Matteo Mongardini, 2020. "The economic effects of big events: Evidence from the great jubilee 2000 in Rome," Journal of Regional Science, Wiley Blackwell, vol. 60(4), pages 801-822, September.
    17. Breinlich, Holger & Leromain, Elsa & Novy, Dennis & Sampson, Thomas, 2020. "Voting with their money: Brexit and outward investment by UK firms," European Economic Review, Elsevier, vol. 124(C).
    18. Irene Botosaru & Bruno Ferman, 2019. "On the role of covariates in the synthetic control method," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 117-130.
    19. Dennis Shen & Peng Ding & Jasjeet Sekhon & Bin Yu, 2022. "Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel Data," Papers 2207.14481, arXiv.org, revised Oct 2022.
    20. Augusto Cerqua & Roberta Di Stefano, 2022. "When did coronavirus arrive in Europe?," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 181-195, March.

    More about this item

    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:plo:pone00:0208393. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.