Internet-based infectious disease surveillance: assessing the merits and comparing performance across diseases
METHODS: Official monthly notifications for 64 infectious diseases were correlated with Google Trends metrics for 164 search terms using data from Australia. Spearman’s rank correlations were performed on both national and state data and results used to assess performance of search terms for estimating disease notifications. Time series cross correlations were also performed on national data.
RESULTS: Notifications for 17 infectious diseases (26.6%) were found to be significantly correlated with a selected search term. The use of internet metrics as a means of surveillance has not previously been described for 13 (76.5%) of these diseases. The majority of diseases identified were vaccine-preventable, vector-borne or sexually transmissible; cross correlations, however, indicated that vector-borne and vaccine preventable diseases are best suited for development of early warning systems.
CONCLUSIONS: The findings of this study suggest that internet-based surveillance systems have broader applicability to monitoring infectious diseases than has previously been recognised. Furthermore, these internet-based surveillance systems have a potential role in forecasting emerging infectious disease events, especially for vaccine-preventable and vector-borne diseases.