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Precipitation 2 weeks earlier as a predictor of weekly case patient hospitalizations. Data represent observed (gray) and predicted (black) cases of legionellosis by week in Connecticut, determined using a Poisson regression model with covariates for week, week squared, yearly sine and cosine terms, and precipitation (with a 2-week lag).
