Different epidemic curves for severe acute respiratory syndrome reveal similar impacts of control measures

American Journal of Epidemiology

Volumn 160, Issue 6, 2004, Pages 509-516

  Wallinga, Jacco ^a   Teunis, Peter ^a  

^a NATIONAL INSTITUTE FOR PUBLIC HEALTH AND THE ENVIRONMENT   (Netherlands)

Author keywords

Disease outbreaks; Estimation; Infection; Models, statistical; SARS virus; Severe acute respiratory syndrome; Statistics

Indexed keywords

EPIDEMIC; SEVERE ACUTE RESPIRATORY SYNDROME;

ACCURACY; ARTICLE; CALCULATION; EPIDEMIC; HEALTH PROGRAM; HUMAN; INCIDENCE; INFECTION CONTROL; INFECTION RATE; MATHEMATICAL ANALYSIS; OUTCOMES RESEARCH; SARS CORONAVIRUS; SEVERE ACUTE RESPIRATORY SYNDROME; SIMULATION; STATISTICAL MODEL; SYMPTOM; VIRUS TRANSMISSION;

CANADA; COMMUNICABLE DISEASE CONTROL; COMMUNICABLE DISEASES, EMERGING; DISEASE OUTBREAKS; EPIDEMIOLOGIC FACTORS; EPIDEMIOLOGIC METHODS; HONG KONG; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; POPULATION SURVEILLANCE; SEVERE ACUTE RESPIRATORY SYNDROME; SINGAPORE; STOCHASTIC PROCESSES; TIME FACTORS; TREATMENT OUTCOME; VIETNAM; WORLD HEALTH;

EID: 4544318829     PISSN: 00029262     EISSN: None     Source Type: Journal    
DOI: 10.1093/aje/kwh255     Document Type: Article

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