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Volume 21, Number 11—November 2015
Synopsis

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.
†p<0.01.
‡p<0.05.

Main Article

Page created: October 16, 2015
Page updated: October 16, 2015
Page reviewed: October 16, 2015
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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