Crowdsourced Health Data: Comparability to a US National Survey, 2013–2015 | Zendy

Veronica Yank | Zendy; Sanjhavi Agarwal | Zendy; Pooja Loftus | Zendy; Steven M. Asch | Zendy; David H. Rehkopf | Zendy

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Crowdsourced Health Data: Comparability to a US National Survey, 2013–2015

Author(s) -

Veronica Yank,

Sanjhavi Agarwal,

Pooja Loftus,

Steven M. Asch,

David H. Rehkopf

Publication year - 2017

Publication title -

american journal of public health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.284

H-Index - 264

eISSN - 1541-0048

pISSN - 0090-0036

DOI - 10.2105/ajph.2017.303824

Subject(s) - generalizability theory , comparability , ethnic group , behavioral risk factor surveillance system , medicine , logistic regression , gerontology , national health interview survey , public health , educational attainment , population , demography , national health and nutrition examination survey , environmental health , psychology , developmental psychology , mathematics , nursing , combinatorics , sociology , anthropology , economics , economic growth

To determine the generalizability of crowdsourced, electronic health data from self-selected individuals using a national survey as a reference.

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