Uncertainties in Big Data When Using Internet Surveillance Tools and Social Media for Determining Patterns in Disease Incidence-Reply

Affiliations

¹ Francis I. Proctor Foundation, Department of Ophthalmology, University of California, San Francisco, San Francisco.
² Francis I. Proctor Foundation, Department of Ophthalmology, University of California, San Francisco, San Francisco2Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco.

Comment

Michael S Deiner et al. JAMA Ophthalmol. 2017.

. 2017 Apr 1;135(4):402-403.

doi: 10.1001/jamaophthalmol.2017.0140.

¹ Francis I. Proctor Foundation, Department of Ophthalmology, University of California, San Francisco, San Francisco.
² Francis I. Proctor Foundation, Department of Ophthalmology, University of California, San Francisco, San Francisco2Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco.

No abstract available

Comment on

Surveillance Tools Emerging From Search Engines and Social Media Data for Determining Eye Disease Patterns.
Deiner MS, Lietman TM, McLeod SD, Chodosh J, Porco TC. Deiner MS, et al. JAMA Ophthalmol. 2016 Sep 1;134(9):1024-30. doi: 10.1001/jamaophthalmol.2016.2267. JAMA Ophthalmol. 2016. PMID: 27416554 Free PMC article.
Uncertainties in Big Data When Using Internet Surveillance Tools and Social Media for Determining Patterns in Disease Incidence.
Benke KK. Benke KK. JAMA Ophthalmol. 2017 Apr 1;135(4):402. doi: 10.1001/jamaophthalmol.2017.0138. JAMA Ophthalmol. 2017. PMID: 28301633 No abstract available.