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“…The models demonstrated high predictive accuracy as defined through AUC and MAE values with the testing data, suggesting that environmental factors can be reliably used for forecasting YF burden in Brazil. Seasonality is a known characteristic of YF incidence, with cases primarily occurring between January and April (Cavalcante & Tauil, 2016). The strong predictive ability of these environmental factors for future YF burden may in part result from a shared seasonality.…”
Section: Discussionmentioning
confidence: 99%
“…The models demonstrated high predictive accuracy as defined through AUC and MAE values with the testing data, suggesting that environmental factors can be reliably used for forecasting YF burden in Brazil. Seasonality is a known characteristic of YF incidence, with cases primarily occurring between January and April (Cavalcante & Tauil, 2016). The strong predictive ability of these environmental factors for future YF burden may in part result from a shared seasonality.…”
Section: Discussionmentioning
confidence: 99%