IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v36y2016i3p571-588.html
   My bibliography  Save this article

Application of Molecular Typing Results in Source Attribution Models: The Case of Multiple Locus Variable Number Tandem Repeat Analysis (MLVA) of Salmonella Isolates Obtained from Integrated Surveillance in Denmark

Author

Listed:
  • Leonardo V. de Knegt
  • Sara M. Pires
  • Charlotta Löfström
  • Gitte Sørensen
  • Karl Pedersen
  • Mia Torpdahl
  • Eva M. Nielsen
  • Tine Hald

Abstract

Salmonella is an important cause of bacterial foodborne infections in Denmark. To identify the main animal‐food sources of human salmonellosis, risk managers have relied on a routine application of a microbial subtyping‐based source attribution model since 1995. In 2013, multiple locus variable number tandem repeat analysis (MLVA) substituted phage typing as the subtyping method for surveillance of S. Enteritidis and S. Typhimurium isolated from animals, food, and humans in Denmark. The purpose of this study was to develop a modeling approach applying a combination of serovars, MLVA types, and antibiotic resistance profiles for the Salmonella source attribution, and assess the utility of the results for the food safety decisionmakers. Full and simplified MLVA schemes from surveillance data were tested, and model fit and consistency of results were assessed using statistical measures. We conclude that loci schemes STTR5/STTR10/STTR3 for S. Typhimurium and SE9/SE5/SE2/SE1/SE3 for S. Enteritidis can be used in microbial subtyping‐based source attribution models. Based on the results, we discuss that an adjustment of the discriminatory level of the subtyping method applied often will be required to fit the purpose of the study and the available data. The issues discussed are also considered highly relevant when applying, e.g., extended multi‐locus sequence typing or next‐generation sequencing techniques.

Suggested Citation

  • Leonardo V. de Knegt & Sara M. Pires & Charlotta Löfström & Gitte Sørensen & Karl Pedersen & Mia Torpdahl & Eva M. Nielsen & Tine Hald, 2016. "Application of Molecular Typing Results in Source Attribution Models: The Case of Multiple Locus Variable Number Tandem Repeat Analysis (MLVA) of Salmonella Isolates Obtained from Integrated Surveilla," Risk Analysis, John Wiley & Sons, vol. 36(3), pages 571-588, March.
  • Handle: RePEc:wly:riskan:v:36:y:2016:i:3:p:571-588
    DOI: 10.1111/risa.12483
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/risa.12483
    Download Restriction: no

    File URL: https://libkey.io/10.1111/risa.12483?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. J. M. David & D. Guillemot & N. Bemrah & A. Thébault & A. Brisabois & M. Chemaly & FX. Weill & P. Sanders & L. Watier, 2013. "The Bayesian Microbial Subtyping Attribution Model: Robustness to Prior Information and a Proposition," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 397-408, March.
    2. AfDB AfDB, . "Annual Report 2012," Annual Report, African Development Bank, number 461.
    3. Tine Hald & David Vose & Henrik C. Wegener & Timour Koupeev, 2004. "A Bayesian Approach to Quantify the Contribution of Animal‐Food Sources to Human Salmonellosis," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 255-269, 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. Nanna Munck & Patrick Murigu Kamau Njage & Pimlapas Leekitcharoenphon & Eva Litrup & Tine Hald, 2020. "Application of Whole‐Genome Sequences and Machine Learning in Source Attribution of Salmonella Typhimurium," Risk Analysis, John Wiley & Sons, vol. 40(9), pages 1693-1705, September.

    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. Antti Mikkelä & Jukka Ranta & Pirkko Tuominen, 2019. "A Modular Bayesian Salmonella Source Attribution Model for Sparse Data," Risk Analysis, John Wiley & Sons, vol. 39(8), pages 1796-1811, August.
    2. José Antonio Rodríguez Martín & Juan Dios Jiménez Aguilera & José Antonio Salinas Fernández & José María Martín Martín, 2016. "Millennium Development Goals 4 and 5: Progress in the Least Developed Countries of Asia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(2), pages 489-504, November.
    3. Craig Garthwaite & Tal Gross & Matthew J. Notowidigdo, 2014. "Public Health Insurance, Labor Supply, and Employment Lock," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 653-696.
    4. Tarek Roshdy Gebba & Mohamed Gamal Aboelmaged, 2016. "Corporate Governance of UAE Financial Institutions: A Comparative Study between Conventional and Islamic Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(5), pages 1-7.
    5. Nelson, Ewan & Warren, Peter, 2020. "UK transport decoupling: On track for clean growth in transport?," Transport Policy, Elsevier, vol. 90(C), pages 39-51.
    6. Antonio Bassanetti & Matteo Bugamelli & Sandro Momigliano & Roberto Sabbatini & Francesco Zollino, 2014. "The policy response to macroeconomic and fiscal imbalances in Italy in the last fifteen years," PSL Quarterly Review, Economia civile, vol. 67(268), pages 55-103.
    7. Joseph I. Uduji & Elda N. Okolo-Obasi & Simplice A. Asongu, 2019. "Responsible use of crop protection products and Nigeria's growth enhancement support scheme," Development in Practice, Taylor & Francis Journals, vol. 29(4), pages 448-463, May.
    8. Peter J. Rimmer, 2014. "Asian-Pacific Rim Logistics," Books, Edward Elgar Publishing, number 12949.
    9. Clarete, Ramon L. & Villamil, Isabela Rosario G., 2015. "Readiness of the Philippine Agriculture and Fisheries Sectors for the 2015 ASEAN Economic Community: A Rapid Appraisal," Research Paper Series DP 2015-43, Philippine Institute for Development Studies.
    10. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    11. Alleyne, Dillon & Emanuel, Elizabeth & Phillips, Willard, 2013. "An assessment of fiscal and regulatory barriers to the deployment of energy efficiency and renewable energy technologies in Saint Lucia," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38502, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    12. Gang Chen, 2015. "From mercantile strategy to domestic demand stimulation: changes in China's solar PV subsidies," Asia Pacific Business Review, Taylor & Francis Journals, vol. 21(1), pages 96-112, January.
    13. Cristian Pana, 2013. "The National Central Bank’S Management Of Reserve Requirements," Working papers 16, Ecological University of Bucharest, Department of Economics.
    14. Junlakarn, Siripha & Kittner, Noah & Tongsopit, Sopitsuda & Saelim, Supawan, 2021. "A cross-country comparison of compensation mechanisms for distributed photovoltaics in the Philippines, Thailand, and Vietnam," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    15. McMahon, Rob, 2020. "Co-developing digital inclusion policy and programming with indigenous partners: Interventions from Canada," Internet Policy Review: Journal on Internet Regulation, Alexander von Humboldt Institute for Internet and Society (HIIG), Berlin, vol. 9(2), pages 1-26.
    16. Wang, Jianjun & Ortiz, Theresa & Navarro, Diana & Maier, Roland & Wang, Summer & Wang, Lisa & Wang, Libing, 2016. "An empirical study of early childhood support through partnership building," Evaluation and Program Planning, Elsevier, vol. 59(C), pages 74-80.
    17. Berta Morata & Chiara Cavalieri & Agatino Rizzo & Andrea Luciani, 2020. "Territories of Extraction: Mapping Palimpsests of Appropriation," Urban Planning, Cogitatio Press, vol. 5(2), pages 132-151.
    18. Adoracion M. NAVARRO & Gilberto M. LLANTO, . "Philippines Country Report," Chapters, in: Fauziah ZEN & Michael REGAN (ed.), Financing ASEAN Connectivity, chapter 7, pages 269-330, Economic Research Institute for ASEAN and East Asia (ERIA).
    19. John V. Duca, 2013. "Regionally, Housing Rebound Depends on Jobs, Local Supply Tightness," Annual Report, Federal Reserve Bank of Dallas.
    20. Fong Kean Yan & Yap Lya Keng & Kwek Kien Teng, 2016. "Empirical Analysis of House Price Bubble: A Case Study on Malaysia," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(12), pages 127-127, November.

    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:wly:riskan:v:36:y:2016:i:3:p:571-588. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    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.