In some high-income countries, public health surveillance includes systems that use computer and information technology to monitor health data in near-real time, facilitating timely outbreak detection and situational awareness. In September 2007, a meeting convened in Bangkok, Thailand to consider the adaptation of near-real time surveillance methods to developing settings. Thirty-five participants represented Ministries of Health, universities, and militaries in 13 countries, and the World Health Organization (WHO). The keynote presentation by a WHO official underscored the importance of improved national capacity for epidemic surveillance and response under the new International Health Regulations, which entered into force in June 2007. Other speakers presented innovative electronic surveillance systems for outbreak detection and disease reporting in developing countries, and methodologies employed in near-real time surveillance systems in the United States. During facilitated small- and large-group discussion, participants identified key considerations in four areas for adapting near-real time surveillance to developing settings: software, professional networking, training, and data acquisition and processing. This meeting was a first step in extending the benefits of near-real time surveillance to developing settings. Subsequent steps should include identifying funding and partnerships to pilot-test near-real time surveillance methods in developing areas.
[1]
Miguel F. Fernandez,et al.
Challenges in the implementation of an electronic surveillance system in a resource-limited setting: Alerta, in Peru
,
2008,
BMC proceedings.
[2]
D. Blazes,et al.
Statistical analyses in disease surveillance systems
,
2008,
BMC proceedings.
[3]
D. Buckeridge,et al.
Systematic Review: Surveillance Systems for Early Detection of Bioterrorism-Related Diseases
,
2004,
Annals of Internal Medicine.
[4]
E. Sedyaningsih,et al.
EWORS: using a syndromic-based surveillance tool for disease outbreak detection in Indonesia
,
2008,
BMC proceedings.
[5]
Revision of the International Health Regulations.
,
1998,
Epidemiological bulletin.
[6]
H. Burkom,et al.
Syndromic Surveillance: Adapting Innovations to Developing Settings
,
2008,
PLoS medicine.
[7]
Lisa M. Lee,et al.
Principles & Practice of Public Health Surveillance
,
2010
.
[8]
K. Moore,et al.
Visualization techniques and graphical user interfaces in syndromic surveillance systems. Summary from the Disease Surveillance Workshop, Sept. 11–12, 2007; Bangkok, Thailand
,
2008,
BMC proceedings.
[9]
Richard Wojcik,et al.
Methodologies for data collection
,
2008,
BMC proceedings.
[10]
Julie A. Pavlin,et al.
Syndromic Surveillance
,
2004,
Emerging infectious diseases.