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    Africa, Asia, Oceania - INDEPTH Network Cause-Specific Mortality - Release 2014

    Cause-Specific-Mortality
    Reference ID INDEPTH.GH003.COD2014.v1
    Year 1992 - 2012
    Country Africa, Asia, Oceania
    Producer(s) Osman A. Sankoh - INDEPTH Network
    Peter Byass - WHO Collaborating Centre for Verbal Autopsy, Umeå University
    P. Kim Streatfield - Matlab, Bangladesh
    Wasif A. Khan - Bandarban, Bangladesh{
    Sponsor(s) Bill & Melinda Gates Foundation - -
    IDRC - -
    Rockefeller Foundation - -
    SIDA / Research Cooperation - -
    Swiss TPH - -
    Wellcome Trust - -
    WHO/HMN - -
    William and Flora Hewlett Foundation - -
    Collection(s)
    INDEPTH Network Cause-Specific Mortality - Release 2014
    Created on
    Oct 27, 2014
    Last modified
    Oct 28, 2014
    Page views
    199349
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    • Data Dictionary
      • CODA_2013_v7_Anonymi
        sed
    • Variable Groups
        • Network Centre
        • Denominator
        • Death
        • Cause
    PDF | Print
    Malaria level (mal_level)
    File: CODA_2013_v7_Anonymised
    Overview
    Type: Discrete
    Format: character
    Width: 1
    Valid cases: 163334
    Invalid: 0
    Definition
    Malaria exposure level in the geographic area where the site is situated. The InterVA-4 “high” (value='H') malaria setting was used for all the West African sites, plus the East African sites (with the exceptions, on the grounds of high altitude, of Nairobi, Kenya and Kilite-Awlaelo, Ethiopia), on the basis of local experience. All other sites used the “low” (value='L') setting; the “very low” setting was not used. The InterVA-4 guideline is that the “high” setting is appropriate for an expected malaria CSMF higher than about 1%, though the setting chosen does not result in any great dichotomisation of outputs; the clinical equivalent would be a physician’s knowledge that his/her current case comes from a setting where malaria is more or less likely, irrespective of particular symptoms
    Categories
    ValueCategoryCases
    H 87873 53.8%
    L 75461 46.2%
    Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.

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