Estimating protection afforded by prior infection in preventing reinfection: applying the test-negative study design

The COVID-19 pandemic has highlighted the need to use infection testing databases to rapidly estimate effectiveness of prior infection in preventing reinfection ($P{E}_S$) by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. Mathematical modeling was used to demonstrate a...

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Veröffentlicht in:	American journal of epidemiology 2024-06, Vol.193 (6), p.883-897
Hauptverfasser:	Ayoub, Houssein H, Tomy, Milan, Chemaitelly, Hiam, Altarawneh, Heba N, Coyle, Peter, Tang, Patrick, Hasan, Mohammad R, Al Kanaani, Zaina, Al Kuwari, Einas, Butt, Adeel A, Jeremijenko, Andrew, Kaleeckal, Anvar Hassan, Latif, Ali Nizar, Shaik, Riyazuddin Mohammad, Nasrallah, Gheyath K, Benslimane, Fatiha M, Al Khatib, Hebah A, Yassine, Hadi M, Al Kuwari, Mohamed G, Al Romaihi, Hamad Eid, Abdul-Rahim, Hanan F, Al-Thani, Mohamed H, Al Khal, Abdullatif, Bertollini, Roberto, Abu-Raddad, Laith J
Format:	Artikel
Sprache:	eng
Schlagworte:	Case-Control Studies COVID-19 - epidemiology COVID-19 - prevention & control COVID-19 Testing - methods Humans Models, Theoretical Practice of Epidemiology Reinfection - epidemiology Reinfection - prevention & control SARS-CoV-2
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