Dengue nowcasting in Brazil by combining official surveillance data and Google Trends information.

ABSTRACT: Dengue is a mosquito-borne viral disease that poses significant public health challenges in tropical and sub-tropical regions worldwide. Surveillance systems are essential for dengue prevention and control. However, traditional systems often rely on delayed data, limiting their effectiveness. To address this, nowcasting methods are needed to estimate underreported cases, enabling more timely decision-making. This study evaluates the value of using Google Trends indices of dengue-related keywords to complement official dengue data for nowcasting dengue in Brazil, a country frequently affected by this disease. We compare various nowcasting approaches that incorporate autoregressive features from official dengue cases, Google Trends data, and a combination of both, using a naive approach as a

SUBMITTER: Xiao Y 

PROVIDER: S-EPMC12373277 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature