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Assessing social media platform data access for automated early warning of public health threats
https://pubmed.ncbi.nlm.nih.gov/42452851/?utm_source=RSS-Parrot-Bot&utm_medium=rss&utm_campaign=None&utm_content=1FeQVcsSJohpHRh-4MRoE0TYy1_UolUG_V8jVWi6qRMBy_Egok&fc=None&ff=20260715105455&v=2.20.0
Published: July 15, 2026 10:00
Epidemic Intelligence aims to promptly detect and monitor health threats, but processing large volumes of information is time-consuming. Automated social media (SM) data collection can enhance this process. We reviewed 36 pre-selected SM (as of 1 June…
Rapid Epidemiological Data Collection on Social Media for COVID-19: Comparative Study Between Online Surveys and Conventional Cohorts
https://pubmed.ncbi.nlm.nih.gov/42043953/?utm_source=RSS-Parrot-Bot&utm_medium=rss&utm_campaign=None&utm_content=1FeQVcsSJohpHRh-4MRoE0TYy1_UolUG_V8jVWi6qRMBy_Egok&fc=None&ff=20260428015957&v=2.19.0.post6+133c1fe
Published: April 27, 2026 10:00
CONCLUSIONS: We found SMPs to be a practical and cost-effective method for quickly gathering epidemiological insights. In particular, self-reported infection frequency can aid during periods of high availability of self-testing during epidemics. We…