• Login
    View Item 
    •   Home
    • Articles and other publications by RIVM employees
    • Miscellaneous
    • View Item
    •   Home
    • Articles and other publications by RIVM employees
    • Miscellaneous
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    RIVM Publications RepositoryCommunitiesTitleAuthorsIssue DateSubmit Date

    My Account

    LoginRegister

    Statistics

    Display statistics

    Dot map cartograms for detection of infectious disease outbreaks: an application to Q fever, the Netherlands and pertussis, Germany.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Average rating
     
       votes
    Cast your vote
    You can rate an item by clicking the amount of stars they wish to award to this item. When enough users have cast their vote on this item, the average rating will also be shown.
    Star rating
     
    Your vote was cast
    Thank you for your feedback
    Authors
    Soetens, Loes
    Hahné, Susan
    Wallinga, Jacco
    Type
    Article
    Language
    en
    
    Metadata
    Show full item record
    Title
    Dot map cartograms for detection of infectious disease outbreaks: an application to Q fever, the Netherlands and pertussis, Germany.
    Published in
    Euro Surveill 2017, 22(26): pii:30562
    Publiekssamenvatting
    Geographical mapping of infectious diseases is an important tool for detecting and characterising outbreaks. Two common mapping methods, dot maps and incidence maps, have important shortcomings. The former does not represent population density and can compromise case privacy, and the latter relies on pre-defined administrative boundaries. We propose a method that overcomes these limitations: dot map cartograms. These create a point pattern of cases while reshaping spatial units, such that spatial area becomes proportional to population size. We compared these dot map cartograms with standard dot maps and incidence maps on four criteria, using two example datasets. Dot map cartograms were able to illustrate both incidence and absolute numbers of cases (criterion 1): they revealed potential source locations (Q fever, the Netherlands) and clusters with high incidence (pertussis, Germany). Unlike incidence maps, they were insensitive to choices regarding spatial scale (criterion 2). Dot map cartograms ensured the privacy of cases (criterion 3) by spatial distortion; however, this occurred at the expense of recognition of locations (criterion 4). We demonstrate that dot map cartograms are a valuable method for detection and visualisation of infectious disease outbreaks, which facilitates informed and appropriate actions by public health professionals, to investigate and control outbreaks.
    DOI
    10.2807/1560-7917.ES.2017.22.26.30562
    PMID
    28681721
    URI
    http://hdl.handle.net/10029/620987
    ae974a485f413a2113503eed53cd6c53
    10.2807/1560-7917.ES.2017.22.26.30562
    Scopus Count
    Collections
    Miscellaneous

    entitlement

    Related articles

    • Smooth incidence maps give valuable insight into Q fever outbreaks in The Netherlands.
    • Authors: van der Hoek W, van de Kassteele J, Bom B, de Bruin A, Dijkstra F, Schimmer B, Vellema P, ter Schegget R, Schneeberger PM
    • Issue date: 2012 Nov
    • Spatial relationships in the Q fever outbreaks 2007-2010 in the Netherlands.
    • Authors: Commandeur M, Jeurissen L, van der Hoek W, Roest HJ, Hermans TC
    • Issue date: 2014 Apr
    • The use of a geographic information system to identify a dairy goat farm as the most likely source of an urban Q-fever outbreak.
    • Authors: Schimmer B, Ter Schegget R, Wegdam M, Züchner L, de Bruin A, Schneeberger PM, Veenstra T, Vellema P, van der Hoek W
    • Issue date: 2010 Mar 16
    • Visualizing statistical significance of disease clusters using cartograms.
    • Authors: Kronenfeld BJ, Wong DWS
    • Issue date: 2017 May 15
    • Mapping disease incidence in suburban areas using remotely sensed data.
    • Authors: Tran A, Gardon J, Weber S, Polidori L
    • Issue date: 2002 Oct 1

    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.