Estimating SARS-CoV-2 infection incidence and detection rates: Demonstrating a novel surveillance method

<h3>Objectives</h3><p dir="ltr">Assessing the cumulative incidence of infection conventionally relies on documented infections or serological surveys, both of which have limitations. This study introduces a novel and practical method leveraging testing variation in a popu...

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المؤلف الرئيسي:	Houssein H. Ayoub (9262512) (author)
مؤلفون آخرون:	Hiam Chemaitelly (439114) (author), Patrick Tang (239534) (author), Mohammad R. Hasan (13777597) (author), Hadi M. Yassine (4675846) (author), Asmaa A. Al Thani (10494576) (author), Peter Coyle (787159) (author), Zaina Al-Kanaani (4557205) (author), Einas Al-Kuwari (13777606) (author), Anvar Hassan Kaleeckal (11847034) (author), Ali Nizar Latif (11570540) (author), Hanan F. Abdul-Rahim (13777600) (author), Gheyath K. Nasrallah (9200525) (author), Mohamed Ghaith Al-Kuwari (4264192) (author), Adeel A. Butt (3697705) (author), Hamad Eid Al-Romaihi (6837251) (author), Mohamed H. Al-Thani (11847049) (author), Abdullatif Al-Khal (11721410) (author), Roberto Bertollini (9538620) (author), Laith J. Abu-Raddad (9262524) (author)
منشور في:	2025
الموضوعات:	Health sciences Epidemiology Public health Mathematical sciences Applied mathematics Statistics Incidence Detection rate Surveillance Mathematical model SARS-CoV-2
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Estimating SARS-CoV-2 infection incidence and detection rates: Demonstrating a novel surveillance method

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