Using web search query data to monitor dengue epidemics: A new model for neglected tropical disease surveillance
2011

A New Approach to Monitoring Dengue Activity

publication Evidence: moderate

Author Information

Author(s): Madoff Lawrence C., Fisman David N., Kass-Hout Taha

Primary Institution: University of Massachusetts Medical School

Hypothesis

Can web-based surveillance tools improve the monitoring of dengue activity?

Conclusion

Web-based surveillance tools can provide timely and reliable information on dengue activity, complementing traditional surveillance methods.

Supporting Evidence

  • Search queries closely track dengue activity as measured by traditional systems.
  • The web-based approach offers advantages in timeliness and transparency.
  • Informal surveillance systems have been recognized as important sources of epidemic intelligence.

Takeaway

This study shows that using the internet to track how many people are searching for dengue can help us know when and where the disease is spreading.

Methodology

The study analyzed search query data to correlate with dengue case counts reported by traditional surveillance systems.

Potential Biases

The geographic locations with high dengue risk may also lack internet access, which could limit the effectiveness of the web-based approach.

Limitations

The model may not perform well in real-world situations due to potential overfitting and the influence of unrelated public interest spikes.

Participant Demographics

The study focused on countries with varying levels of internet use, including Bolivia, Brazil, India, Indonesia, and Singapore.

Digital Object Identifier (DOI)

10.1371/journal.pntd.0001206

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication