Unknown

Dataset Information

Surveillance Tools Emerging From Search Engines and Social Media Data for Determining Eye Disease Patterns.


ABSTRACT:

Importance

Internet-based search engine and social media data may provide a novel complementary source for better understanding the epidemiologic factors of infectious eye diseases, which could better inform eye health care and disease prevention.

Objective

To assess whether data from internet-based social media and search engines are associated with objective clinic-based diagnoses of conjunctivitis.

Design, setting, and participants

Data from encounters of 4143 patients diagnosed with conjunctivitis from June 3, 2012, to April 26, 2014, at the University of California San Francisco (UCSF) Medical Center, were analyzed using Spearman rank correlation of each weekly observation to compare demographics and seasonality of nonallergic conjunctivitis with allergic conjunc

SUBMITTER: Deiner MS 

PROVIDER: S-EPMC5227006 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature