Skip to main content
    • Aa
    • Aa
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 4
  • Cited by
    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    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.

    Troullos, Emanuel Baird, Lisa and Jayawardena, Shyamalie 2014. Common Cold Symptoms in Children: Results of an Internet-Based Surveillance Program. Journal of Medical Internet Research, Vol. 16, Issue. 6, p. e144.

    Sano, Tomomi Akahane, Manabu Sugiura, Hiroaki Ohkusa, Yasushi Okabe, Nobuhiko and Imamura, Tomoaki 2013. Internet survey of the influence of environmental factors on human health: environmental epidemiologic investigation using the web-based daily questionnaire for health. International Journal of Environmental Health Research, Vol. 23, Issue. 3, p. 247.

    Sugiura, Hiroaki Ohkusa, Yasushi Akahane, Manabu Sano, Tomomi Okabe, Nobuhiko and Imamura, Tomoaki 2011. Development of a Web-Based Survey for Monitoring Daily Health and its Application in an Epidemiological Survey. Journal of Medical Internet Research, Vol. 13, Issue. 3, p. e66.


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:
  • Published online: 13 January 2010

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.

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:
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

2.A Doroshenko , Evaluation of syndromic surveillance based on National Health Service Direct derived data – England and Wales. Morbidity and Mortality Weekly Reports 2005; 54 (Suppl.): 117122.

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.

4.TS Wu , Establishing a nationwide emergency department-based syndromic surveillance system for better public health responses in Taiwan. BMC Public Health 2008; 8: 18.

10.M Besculides , Evaluation of school absenteeism data for early outbreak detection, New York City. BMC Public Health 2005; 5: 105.

12.T Sugawara , Full automatic syndromic surveillance system using prescription in Japan. Advances in Disease Surveillance 2008; 5: 192.

17.JS Lombardo , H Burkom , J Pavlin . ESSENCE II and the framework for evaluating syndromic surveillance systems. Morbidity and Mortality Weekly Reports 2004; 53 (Suppl.): 159165.

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

23.LC Hutwagner , A simulation model for assessing aberration detection methods used in public health surveillance for systems with limited baselines. Statistics in Medicine 2005; 24: 543550.

24.AH Najmi , SF Magruder . An adaptive prediction and detection algorithm for multistream syndromic surveillance. BMC Medical Informatics Decision Making 2005; 5: 33.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
Please enter your name
Please enter a valid email address
Who would you like to send this to? *