Assessment of the Middle East respiratory syndrome coronavirus (MERS-CoV) epidemic in the Middle East and risk of international spread using a novel maximum likelihood analysis approach

Eurosurveillance

Volumn 19, Issue 23, 2014, Pages

  Poletto, C ^a,b   Pelat, C ^a,c   Levy Bruhl D ^d   Yazdanpanah, Y ^a,c,e   Boelle P Y ^a,b   Colizza, V ^a,b,f  

^a INSERM   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c UNIVERSITÉ PARIS DESCARTES   (France)

^d INSTITUT DE VEILLE SANITAIRE   (France)

^e BICHAT HOSPITAL   (France)

^f ISI FOUNDATION   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLUSTER ANALYSIS; CORONAVIRUS; DISEASE TRANSMISSION; ENVIRONMENTAL FACTOR; HUMAN; MAXIMUM LIKELIHOOD METHOD; MIDDLE EAST RESPIRATORY SYNDROME; PROBABILITY; RESPIRATORY DISTRESS SYNDROME; RISK FACTOR; SENSITIVITY ANALYSIS; SEROLOGY; WORLD HEALTH ORGANIZATION;

CORONAVIRUS; CORONAVIRUS INFECTIONS; DISEASE RESERVOIRS; EPIDEMICS; HUMANS; LIKELIHOOD FUNCTIONS; MIDDLE EAST; RESPIRATORY TRACT INFECTIONS; RISK ASSESSMENT; WORLD HEALTH;

EID: 84902298910     PISSN: 1025496X     EISSN: 15607917     Source Type: Journal    
DOI: 10.2807/1560-7917.ES2014.19.23.20824     Document Type: Article

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