Optimizing the precision of case fatality ratio estimates under the surveillance pyramid approach

American Journal of Epidemiology

Volumn 180, Issue 10, 2014, Pages 1036-1046

  Pelat, Camille ^a   Ferguson, Neil M ^a   White, Peter J ^a,b   Reed, Carrie ^a,c   Finelli, Lyn ^a,c   Cauchemez, Simon ^a,d   Fraser, Christophe ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b PUBLIC HEALTH ENGLAND   (United Kingdom)

^c NATIONAL CENTER FOR IMMUNIZATION AND RESPIRATORY DISEASES   (United States)

^d INSTITUT PASTEUR   (France)

Author keywords

Case fatality ratio; Emerging infectious diseases; Influenza; Pandemics; Statistical planning; Surveillance protocol

Indexed keywords

ACCURACY ASSESSMENT; DATA SET; DISEASE SEVERITY; EPIDEMIC; ESTIMATION METHOD; INFLUENZA; MATHEMATICAL ANALYSIS; OPTIMIZATION;

ARTICLE; CLASSIFICATION; FATALITY; HEALTH SURVEY; HOSPITALIZATION; HUMAN; MEASUREMENT ACCURACY; MEASUREMENT ERROR; PANDEMIC INFLUENZA; PLANNING; PROBABILITY; RESOURCE ALLOCATION; SAMPLE SIZE; STANDARD; UNCERTAINTY; INFLUENZA A VIRUS (H1N1); INFLUENZA, HUMAN; MATHEMATICAL COMPUTING; MORTALITY; PANDEMIC; PATHOGENICITY; PROCEDURES; SURVIVAL RATE; UNITED STATES;

HUMANS; INFLUENZA A VIRUS, H1N1 SUBTYPE; INFLUENZA, HUMAN; MATHEMATICAL COMPUTING; MORTALITY; PANDEMICS; POPULATION SURVEILLANCE; PROBABILITY; SURVIVAL RATE; UNITED STATES;

EID: 84911387016     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwu213     Document Type: Article

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