Editing AI for Epidemiology (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Epidemiology''' — The study of the distribution and determinants of health and disease in populations.
* '''Outbreak detection''' — Identifying unusual disease clustering in time and space; now augmented by AI surveillance systems.
* '''Nowcasting''' — Estimating current disease burden before surveillance data is complete; ML corrects for reporting delays.
* '''Forecasting (epidemiology)''' — Predicting future disease incidence, hospital burden, and mortality.
* '''Syndromic surveillance''' — Monitoring health indicators (emergency visits, pharmacy sales, absenteeism) for early outbreak signals.
* '''R₀ (basic reproduction number)''' — Average number of secondary infections from one case in a fully susceptible population; estimated by ML.
* '''SIR model''' — Compartmental epidemic model: Susceptible → Infected → Recovered; foundational mathematical framework.
* '''Digital epidemiology''' — Using digital data (search trends, social media, mobile phones) for disease surveillance.
* '''Google Flu Trends''' — Google's attempt to predict flu using search data; famously failed, revealing pitfalls of digital epidemiology.
* '''Wastewater epidemiology''' — Detecting pathogens in wastewater to estimate community infection levels; AI improves trend detection.
* '''Contact tracing''' — Identifying contacts of infected individuals; AI systems automated this during COVID-19.
* '''Causal inference (epidemiology)''' — Methods distinguishing correlation from causation in observational data; propensity scores, instrumental variables.
* '''Electronic Health Records (EHR)''' — Digitized patient health data; a massive resource for epidemiological ML.
* '''Genomic surveillance''' — Sequencing pathogen genomes to track variants, transmission chains, and evolution; SARS-CoV-2 Nextstrain.
* '''ProMED''' — Global infectious disease outbreak monitoring system; now augmented by AI text analysis.
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