Early Characterization of the Severity and Transmissibility of Pandemic Influenza Using Clinical Episode Data from Multiple Populations

PLoS Computational Biology

Volumn 11, Issue 9, 2015, Pages

  Riley, Pete ^a   Ben Nun, Michal ^a   Linker, Jon A ^a   Cost, Angelia A ^b   Sanchez, Jose L ^b   George, Dylan ^c   Bacon, David P ^d   Riley, Steven ^a,e  

^a PREDICTIVE SCIENCE INC   (United States)

^b Armed Forces Health Surveillance Center   (United States)

^c U S DEPARTMENT OF HEALTH AND HUMAN SERVICES   (United States)

^d FREDERICK NATIONAL LABORATORY FOR CANCER RESEARCH   (United States)

^e IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BASIC REPRODUCTIVE NUMBER; DISEASE DYNAMICS; INDIVIDUAL LEVELS; INFLUENZA PANDEMICS; LARGE-SCALES; MULTIPLE POPULATIONS; NOVEL STRAINS; PANDEMIC INFLUENZA; REAL- TIME; US MILITARY;

POPULATION STATISTICS;

ARMY; ARTICLE; DISEASE SEVERITY; DISEASE SEVERITY ASSESSMENT; DISEASE SURVEILLANCE; HEALTH CARE UTILIZATION; HUMAN; MEDICAL DECISION MAKING; PANDEMIC INFLUENZA; PRACTICE GUIDELINE; RETROSPECTIVE STUDY; SIMULATION; VIRUS STRAIN; VIRUS TRANSMISSION; BIOLOGICAL MODEL; BIOLOGY; FACTUAL DATABASE; INFLUENZA, HUMAN; PANDEMICS; PROCEDURES; STATISTICS AND NUMERICAL DATA; TRANSMISSION;

COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; HUMANS; INFLUENZA, HUMAN; MODELS, BIOLOGICAL; PANDEMICS;

EID: 84943516294     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004392     Document Type: Article

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