Predicting US state teenage birth rates using search engine query data on pregnancy termination and prevention

Reidpath, Daniel D. and Allotey, Pascale, (2018). Predicting US state teenage birth rates using search engine query data on pregnancy termination and prevention. Journal Of Global Health Reports, 2 1-4

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  • Sub-type Journal article
    Author Reidpath, Daniel D.
    Allotey, Pascale
    Title Predicting US state teenage birth rates using search engine query data on pregnancy termination and prevention
    Appearing in Journal Of Global Health Reports
    Volume 2
    Publication Date 2018-04-01
    Place of Publication Scotland
    Publisher Journal of global health reports
    Start page 1
    End page 4
    Language eng
    Abstract Background - To determine whether aggregated searches for pregnancy prevention or pregnancy termination predicts US State teenage birth rates. Methods - US birth rate data for the 50 states, and search engine query data (Google Trends) for “condom” and “abortion” were used in an ecological analysis. Multivariable ordinary least squares regression was used to predict state-level birth rates from state-level searches for condom and abortion. Results - The final model accounted for 35% of the variance (R2=0.347). Abortion and condom had similar, absolute, standardized parameters (ß≈0.5). High state-levels of searches for abortion were associated with higher teenage birth rates, whereas high state-levels of searches for condom were associated with lower teenage birth rates. Conclusions - Google Trends data for abortion and condom can be used to model US state-levels teenage birth rates. This raises the possibility of well targeted, accessible and relevant information for populations wanting to avoid unwanted pregnancies.
    UNBIS Thesaurus BIRTH RATE
    BIRTH REPORTING
    BIRTH STATISTICS
    CONTRACEPTIVE USAGE
    PREGNANCY
    UNITED STATES
    Copyright Holder Journal Of Global Health Reports
    Copyright Year 2018
    Copyright type Creative commons
    ISSN 23991623
    DOI 10.29392/joghr.2.e2018001
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    Created: Mon, 16 Jul 2018, 11:57:57 JST by Noor Farhanah Remly on behalf of UNU IIGH