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Meeting Global Health Needs via Infectious Disease Forecasting: Development of a Reliable Data-Driven Framework

Abstract BackgroundInfectious diseases (IDs) have a significant detrimental impact on global health. Timely and accurate ID forecasting can result in more informed implementation of control measures and prevention policies. ObjectiveTo meet the operational decision...

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主要な著者: Ravikiran Keshavamurthy, Karl T Pazdernik, Colby Ham, Samuel Dixon, Samantha Erwin, Lauren E Charles
フォーマット: Artigo
言語:Inglês
出版事項: JMIR Publications 2025-03-01
シリーズ:JMIR Public Health and Surveillance
オンライン・アクセス:https://publichealth.jmir.org/2025/1/e59971
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