Advances in using Internet searches to track dengue

Area of Science:

• Public Health
• Epidemiology
• Digital Health

Background:

• Dengue, a mosquito-borne illness, affects over half the global population, with limited surveillance tools in endemic regions.
• Existing dengue surveillance methods often lack the timeliness needed for effective public health interventions.
• Internet-based data sources offer potential for enhanced disease tracking and early warning systems.

Observation:

• Dengue-related Google search trends demonstrate a correlation with actual dengue disease activity.
• A methodological framework, previously used for influenza surveillance, was adapted for dengue.
• The framework was applied to estimate dengue cases in Mexico, Brazil, Thailand, Singapore, and Taiwan.

Findings:

• The adapted modeling framework successfully produced near real-time dengue case estimates.
• The study validated the framework's utility across diverse geographical and epidemiological settings.
• Internet search data provides a valuable, complementary data stream for dengue surveillance.

Implications:

• This approach can significantly improve the timeliness and accuracy of dengue tracking globally.
• Enhanced dengue surveillance can lead to more effective and rapid public health responses.
• The methodology offers a scalable solution for monitoring infectious diseases using digital data.