This paper is in the following e-collection/theme issue:

Formative Studies and eHealth/mHealth Development (492) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1323) Public (e)Health (376) Public Health (87) Crowdsourcing and Mechanical Turks (86)

Published on in Vol 3 , No 2 (2014) :Apr-Jun

Cameras for Public Health Surveillance: A Methods Protocol for Crowdsourced Annotation of Point-of-Sale Photographs

Cameras for Public Health Surveillance: A Methods Protocol for Crowdsourced Annotation of Point-of-Sale Photographs

Cameras for Public Health Surveillance: A Methods Protocol for Crowdsourced Annotation of Point-of-Sale Photographs

Authors of this article:

Vinu Ilakkuvan 1 Author Orcid Image ;   Michael Tacelosky 2 ;   Keith C. Ivey 2 ;   Jennifer L Pearson 3, 4 ;   Jennifer Cantrell 1, 3 ;   Donna M Vallone 1, 3 Author Orcid Image ;   David B. Abrams 3, 4, 5 ;   Thomas R Kirchner 3, 4, 5
Article Authors Cited by (16) Tweetations (1) Metrics

Journals

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  12. Feld A, Johnson T, Byerly K, Ribisl K. How to Conduct Store Observations of Tobacco Marketing and Products. Preventing Chronic Disease 2016;13 View
  13. English N, Anesetti-Rothermel A, Zhao C, Latterner A, Benson A, Herman P, Emery S, Schneider J, Rose S, Patel M, Schillo B. Image Processing for Public Health Surveillance of Tobacco Point-of-Sale Advertising: Machine Learning–Based Methodology. Journal of Medical Internet Research 2021;23(8):e24408 View
  14. Scott L, McCausland K, Maycock B, Jancey J. The emergence of e‐cigarette retail shops in a regulated tobacco control environment. Health Promotion Journal of Australia 2023;34(1):185 View
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