Search Articles

View query in Help articles search

Search Results (1 to 8 of 8 Results)

Download search results: CSV END BibTex RIS


Social Media Surveillance for Outbreak Projection via Transmission Models: Longitudinal Observational Study

Social Media Surveillance for Outbreak Projection via Transmission Models: Longitudinal Observational Study

Safarishahrbijari et al evaluated the effectiveness of particle filtering subject to specifics of the configuration, such as frequency of data sampling and representation of behavior change in the form of an evolving contact rate for H1 N1 [3,5]. Oraji et al developed a system dynamics model for studying the tuberculosis transmission and applied particle filtering to estimate the latent state of the system, including many epidemiological quantities that are not directly measured.

Anahita Safarishahrbijari, Nathaniel D Osgood

JMIR Public Health Surveill 2019;5(2):e11615