Informing optimal environmental Influenza interventions: How the host, agent, and environment alter dominant routes of transmission

PLoS Computational Biology

Volumn 6, Issue 10, 2010, Pages

  Spicknall, Ian H ^a   Koopman, James S ^a   Nicas, Mark ^b   Pujol, Josep M ^c   Li, Sheng ^a   Eisenberg, Joseph N S ^a  

^a UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c TELEFONICA RESEARCH   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS TIME SYSTEMS; DROPS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

AIRBORNE PARTICLE; CONTACT MODES; CONTINOUS TIME; DENSITY SURFACES; DISCRETE EVENTS; HIGH TRANSMISSION; MOVEMENT PATTERN; SURFACE AREA; VIRUS STRAINS; VOLUME RATIO;

VIRUSES;

ARTICLE; ENVIRONMENTAL FACTOR; HOST SUSCEPTIBILITY; INFECTION CONTROL; INFLUENZA; INHALATION; POPULATION MOVEMENT PATTERN; STATISTICAL ANALYSIS; STOCHASTIC MODEL; VIRUS CELL INTERACTION; VIRUS SHEDDING; VIRUS TRANSMISSION; VIRUS VIRULENCE; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; DISEASE TRANSMISSION; ENVIRONMENTAL EXPOSURE; HOST PATHOGEN INTERACTION; HUMAN; METHODOLOGY; PHYSIOLOGY; REGRESSION ANALYSIS;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; ENVIRONMENTAL EXPOSURE; HOST-PATHOGEN INTERACTIONS; HUMANS; INFLUENZA, HUMAN; MODELS, BIOLOGICAL; REGRESSION ANALYSIS; VIRUS SHEDDING;

EID: 78349286969     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000969     Document Type: Article

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