Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020–2022

Epidemic surveillance using traditional approaches is dependent on case ascertainment and is delayed. Open-source intelligence (OSINT)–based syndromic surveillance can overcome limitations of delayed surveillance and poor case ascertainment, providing early warnings to guide outbreak response. It c...

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מידע ביבליוגרפי

Principais autores:	Damian Honeyman, Deepti Gurdasani, Adriana Notaras, Zubair Akhtar, Jared Edgeworth, Aye Moa, Abrar Ahmad Chughtai, Ashley Quigley, Samsung Lim, Chandini Raina MacIntyre
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Centers for Disease Control and Prevention 2025-02-01
סדרה:	Emerging Infectious Diseases
נושאים:	Artificial intelligence open-source intelligence epidemiology disease surveillance outbreaks of unknown cause
גישה מקוונת:	https://wwwnc.cdc.gov/eid/article/31/2/24-0533_article
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!