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

Formative Studies and eHealth/mHealth Development (524) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Public Health (197) Crowdsourcing and Mechanical Turks (98)

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 Ilakkuvan1 Author Orcid Image ;   Michael Tacelosky2 ;   Keith C. Ivey2 ;   Jennifer L Pearson3, 4 ;   Jennifer Cantrell1, 4 ;   Donna M Vallone1, 4 Author Orcid Image ;   David B. Abrams3, 4, 5 ;   Thomas R Kirchner3, 4, 5
Article Authors Cited by (17) Tweetations (1) Metrics

Journals

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  9. Kirchner T, Gao H, Lewis D, Anesetti-Rothermel A, Carlos H, House B. Individual Mobility and Uncertain Geographic Context: Real-time Versus Neighborhood Approximated Exposure to Retail Tobacco Outlets Across the US. Journal of Healthcare Informatics Research 2019;3(1):70 View
  10. Turner-McGrievy G, Wilcox S, Kaczynski A, Spruijt-Metz D, Hutto B, Muth E, Hoover A. Crowdsourcing for self-monitoring: Using the Traffic Light Diet and crowdsourcing to provide dietary feedback. DIGITAL HEALTH 2016;2 View
  11. Aymerich-Franch L, Kizilcec R, Bailenson J. The Relationship between Virtual Self Similarity and Social Anxiety. Frontiers in Human Neuroscience 2014;8 View
  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
  15. Rose S, Anesetti-Rothermel A, Westneat S, van de Venne J, Folger S, Rahman B, Azam T, Zhou Y, Debnam C, Ribisl K, Cohn A. Inequitable Distribution of FTP Marketing by Neighborhood Characteristics: Further Evidence for Targeted Marketing. Nicotine & Tobacco Research 2022;24(4):484 View
  16. Kirchner T, Jiang H, Gao H, Kabutaulaka G, Cheong D, Jiang Y, Khan A, Qiu W, Tai N, Truong T, Virk M, Gmelch P, Carey C, Laefer D. Rapid surveillance of New York City healthcare center egress behaviors during the 2020 COVID-19 lockdown. Scientific Data 2023;10(1) View