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    Bando, Harumi Sugiura, Hiroaki Ohkusa, Yasushi Akahane, Manabu Sano, Tomomi Jojima, Noriko Okabe, Nobuhiko and Imamura, Tomoaki 2015. Association between first airborne cedar pollen level peak and pollinosis symptom onset: a web-based survey. International Journal of Environmental Health Research, Vol. 25, Issue. 1, p. 104.


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Construction of syndromic surveillance using a web-based daily questionnaire for health and its application at the G8 Hokkaido Toyako Summit meeting

  • H. SUGIURA (a1), Y. OHKUSA (a2), M. AKAHANE (a1), T. SUGAHARA (a2), N. OKABE (a2) and T. IMAMURA (a1)
  • DOI: http://dx.doi.org/10.1017/S095026880999149X
  • Published online: 13 January 2010
Abstract
SUMMARY

We constructed a syndromic surveillance system to collect directly information on daily health conditions directly from local residents via the internet [web-based daily questionnaire for health surveillance system (WDQH SS)]. This paper considers the feasibility of the WDQH SS and its ability to detect epidemics. A verification study revealed that our system was an effective surveillance system. We then applied an improved WDQH SS as a measure against public health concerns at the G8 Hokkaido Toyako Summit meeting in 2008. While in operation at the Summit, our system reported a fever alert that was consistent with a herpangina epidemic. The highly mobile WDQH SS described in this study has three main advantages: the earlier detection of epidemics, compared to other surveillance systems; the ability to collect data even on weekends and holidays; and a rapid system set-up that can be completed within 3 days.

Copyright
Corresponding author
*Author for correspondence: H. Sugiura, M.D., Department of Public Health, Health Management and Policy, Nara Medical University School of Medicine, 840 Shijo-cho, Kashihara, Nara 634-8521, Japan. (Email: tomomarie@smn.enjoy.ne.jp)
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3.R Lazarus , Use of automated ambulatory-care encounter records for detection of acute illness clusters, including potential bioterrorism events. Emerging Infectious Diseases 2002; 8: 753760.

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22.Y Ohkusa , Symptoms of outpatients as data for syndromic surveillance. Kansenshogaku Zasshi 2006; 80: 366376

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Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
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