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Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness
As a supplement to or extension of methods used to determine trends in foodborne illness over time, we propose the use of Internet search metrics. We compared Internet query data for foodborne illness syndrome–related search terms from the most popular 5 Korean search engines using Health Insurance...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4622232/ https://www.ncbi.nlm.nih.gov/pubmed/26485066 http://dx.doi.org/10.3201/eid2111.141834 |
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author | Bahk, Gyung Jin Kim, Yong Soo Park, Myoung Su |
author_facet | Bahk, Gyung Jin Kim, Yong Soo Park, Myoung Su |
author_sort | Bahk, Gyung Jin |
collection | PubMed |
description | As a supplement to or extension of methods used to determine trends in foodborne illness over time, we propose the use of Internet search metrics. We compared Internet query data for foodborne illness syndrome–related search terms from the most popular 5 Korean search engines using Health Insurance Review and Assessment Service inpatient stay data for 26 International Classification of Diseases, Tenth Revision, codes for foodborne illness in South Korea during 2010–2012. We used time-series analysis with Seasonal Autoregressive Integrated Moving Average (SARIMA) models. Internet search queries for “food poisoning” correlated most strongly with foodborne illness data (r = 0.70, p<0.001); furthermore, “food poisoning” queries correlated most strongly with the total number of inpatient stays related to foodborne illness during the next month (β = 0.069, SE 0.017, p<0.001). This approach, using the SARIMA model, could be used to effectively measure trends over time to enhance surveillance of foodborne illness in South Korea. |
format | Online Article Text |
id | pubmed-4622232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-46222322015-11-02 Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness Bahk, Gyung Jin Kim, Yong Soo Park, Myoung Su Emerg Infect Dis Synopsis As a supplement to or extension of methods used to determine trends in foodborne illness over time, we propose the use of Internet search metrics. We compared Internet query data for foodborne illness syndrome–related search terms from the most popular 5 Korean search engines using Health Insurance Review and Assessment Service inpatient stay data for 26 International Classification of Diseases, Tenth Revision, codes for foodborne illness in South Korea during 2010–2012. We used time-series analysis with Seasonal Autoregressive Integrated Moving Average (SARIMA) models. Internet search queries for “food poisoning” correlated most strongly with foodborne illness data (r = 0.70, p<0.001); furthermore, “food poisoning” queries correlated most strongly with the total number of inpatient stays related to foodborne illness during the next month (β = 0.069, SE 0.017, p<0.001). This approach, using the SARIMA model, could be used to effectively measure trends over time to enhance surveillance of foodborne illness in South Korea. Centers for Disease Control and Prevention 2015-11 /pmc/articles/PMC4622232/ /pubmed/26485066 http://dx.doi.org/10.3201/eid2111.141834 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Synopsis Bahk, Gyung Jin Kim, Yong Soo Park, Myoung Su Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness |
title | Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness |
title_full | Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness |
title_fullStr | Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness |
title_full_unstemmed | Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness |
title_short | Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness |
title_sort | use of internet search queries to enhance surveillance of foodborne illness |
topic | Synopsis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4622232/ https://www.ncbi.nlm.nih.gov/pubmed/26485066 http://dx.doi.org/10.3201/eid2111.141834 |
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