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Clinical Age-Specific Seasonal Conjunctivitis Patterns and Their Online Detection in Twitter, Blog, Forum, and Comment Social Media Posts
PURPOSE: We sought to determine whether big data from social media might reveal seasonal trends of conjunctivitis, most forms of which are nonreportable. METHODS: Social media posts (from Twitter, and from online forums and blogs) were classified by age and by conjunctivitis type (allergic or infect...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association for Research in Vision and Ophthalmology
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815847/ https://www.ncbi.nlm.nih.gov/pubmed/29450538 http://dx.doi.org/10.1167/iovs.17-22818 |
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author | Deiner, Michael S. McLeod, Stephen D. Chodosh, James Oldenburg, Catherine E. Fathy, Cherie A. Lietman, Thomas M. Porco, Travis C. |
author_facet | Deiner, Michael S. McLeod, Stephen D. Chodosh, James Oldenburg, Catherine E. Fathy, Cherie A. Lietman, Thomas M. Porco, Travis C. |
author_sort | Deiner, Michael S. |
collection | PubMed |
description | PURPOSE: We sought to determine whether big data from social media might reveal seasonal trends of conjunctivitis, most forms of which are nonreportable. METHODS: Social media posts (from Twitter, and from online forums and blogs) were classified by age and by conjunctivitis type (allergic or infectious) using Boolean and machine learning methods. Based on spline smoothing, we estimated the circular mean occurrence time (a measure of central tendency for occurrence) and the circular variance (a measure of uniformity of occurrence throughout the year, providing an index of seasonality). Clinical records from a large tertiary care provider were analyzed in a similar way for comparison. RESULTS: Social media posts machine-coded as being related to infectious conjunctivitis showed similar times of occurrence and degree of seasonality to clinical infectious cases, and likewise for machine-coded allergic conjunctivitis posts compared to clinical allergic cases. Allergic conjunctivitis showed a distinctively different seasonal pattern than infectious conjunctivitis, with a mean occurrence time later in the spring. Infectious conjunctivitis for children showed markedly greater seasonality than for adults, though the occurrence times were similar; no such difference for allergic conjunctivitis was seen. CONCLUSIONS: Social media posts broadly track the seasonal occurrence of allergic and infectious conjunctivitis, and may be a useful supplement for epidemiologic monitoring. |
format | Online Article Text |
id | pubmed-5815847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The Association for Research in Vision and Ophthalmology |
record_format | MEDLINE/PubMed |
spelling | pubmed-58158472018-02-19 Clinical Age-Specific Seasonal Conjunctivitis Patterns and Their Online Detection in Twitter, Blog, Forum, and Comment Social Media Posts Deiner, Michael S. McLeod, Stephen D. Chodosh, James Oldenburg, Catherine E. Fathy, Cherie A. Lietman, Thomas M. Porco, Travis C. Invest Ophthalmol Vis Sci Clinical and Epidemiologic Research PURPOSE: We sought to determine whether big data from social media might reveal seasonal trends of conjunctivitis, most forms of which are nonreportable. METHODS: Social media posts (from Twitter, and from online forums and blogs) were classified by age and by conjunctivitis type (allergic or infectious) using Boolean and machine learning methods. Based on spline smoothing, we estimated the circular mean occurrence time (a measure of central tendency for occurrence) and the circular variance (a measure of uniformity of occurrence throughout the year, providing an index of seasonality). Clinical records from a large tertiary care provider were analyzed in a similar way for comparison. RESULTS: Social media posts machine-coded as being related to infectious conjunctivitis showed similar times of occurrence and degree of seasonality to clinical infectious cases, and likewise for machine-coded allergic conjunctivitis posts compared to clinical allergic cases. Allergic conjunctivitis showed a distinctively different seasonal pattern than infectious conjunctivitis, with a mean occurrence time later in the spring. Infectious conjunctivitis for children showed markedly greater seasonality than for adults, though the occurrence times were similar; no such difference for allergic conjunctivitis was seen. CONCLUSIONS: Social media posts broadly track the seasonal occurrence of allergic and infectious conjunctivitis, and may be a useful supplement for epidemiologic monitoring. The Association for Research in Vision and Ophthalmology 2018-02 /pmc/articles/PMC5815847/ /pubmed/29450538 http://dx.doi.org/10.1167/iovs.17-22818 Text en Copyright 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. |
spellingShingle | Clinical and Epidemiologic Research Deiner, Michael S. McLeod, Stephen D. Chodosh, James Oldenburg, Catherine E. Fathy, Cherie A. Lietman, Thomas M. Porco, Travis C. Clinical Age-Specific Seasonal Conjunctivitis Patterns and Their Online Detection in Twitter, Blog, Forum, and Comment Social Media Posts |
title | Clinical Age-Specific Seasonal Conjunctivitis Patterns and Their Online Detection in Twitter, Blog, Forum, and Comment Social Media Posts |
title_full | Clinical Age-Specific Seasonal Conjunctivitis Patterns and Their Online Detection in Twitter, Blog, Forum, and Comment Social Media Posts |
title_fullStr | Clinical Age-Specific Seasonal Conjunctivitis Patterns and Their Online Detection in Twitter, Blog, Forum, and Comment Social Media Posts |
title_full_unstemmed | Clinical Age-Specific Seasonal Conjunctivitis Patterns and Their Online Detection in Twitter, Blog, Forum, and Comment Social Media Posts |
title_short | Clinical Age-Specific Seasonal Conjunctivitis Patterns and Their Online Detection in Twitter, Blog, Forum, and Comment Social Media Posts |
title_sort | clinical age-specific seasonal conjunctivitis patterns and their online detection in twitter, blog, forum, and comment social media posts |
topic | Clinical and Epidemiologic Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815847/ https://www.ncbi.nlm.nih.gov/pubmed/29450538 http://dx.doi.org/10.1167/iovs.17-22818 |
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