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Volume 21, Number 11—November 2015

Use of Internet Search Queries to Enhance Surveillance of Foodborne Illness

Gyung Jin BahkComments to Author , Yong Soo Kim, and Myoung Su Park
Author affiliations: Kunsan National University, Gunsan, South Korea (G.J. Bahk, M.S. Park); Korea Health Industry Development Institute, Cheongwon, South Korea (Y.S. Kim)

Main Article

Table 2

Spearman r correlation between number of inpatient hospital stays for types of bacterial foodborne illness and infectious enteritis and number of Internet searches for food poisoning with lead and lag times of up to 2 mo, South Korea, January 2010–December 2012*

Diagnosis (ICD-10 code) Previous 2 months Previous 1 month Same month Following 1 month Following 2 months
Salmonellosis (A02.0, A02.8−9) −0.173 0.218 0.546† 0.629† 0.618†
Campylobacteriosis (A04.5) −0.200 0.298 0.523† 0.545† 0.366‡
Other bacterial intestinal infections (A04.8−9) −0.126 0.211 0.587† 0.671† 0.535†
Other bacterial foodborne intoxications (A05.8−9) −0.080 0.268 0.678† 0.641† 0.395‡
Total bacterial foodborne illness and infectious enteritis
(all of the codes in Table 1) −0.112 0.254 0.679† 0.701† 0.545†

*ICD-10, International Classification of Diseases, Tenth Revision.

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Page created: October 16, 2015
Page updated: October 16, 2015
Page reviewed: October 16, 2015
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