First principles modeling of nonlinear incidence rates in seasonal epidemics

PLoS Computational Biology

Volumn 7, Issue 2, 2011, Pages

  Ponciano, José M ^a   Capistrán, Marcos A ^b  

^a UNIVERSITY OF FLORIDA   (United States)

^b CENTRO DE INVESTIGACIÓN EN MATEMÁTICAS   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

EPIDEMIOLOGY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

BIRTH PROCESS; DETERMINISTICS; EPIDEMIC MODELING; FIRST PRINCIPLES; FIRST-PRINCIPLES MODELING; INCIDENCE RATE; NONLINEAR INCIDENCE RATES; PROCESS FRAMEWORK; RATE FUNCTIONS; SIRS MODELS;

RANDOM PROCESSES;

ARTICLE; COMPUTER SIMULATION; DISEASE TRANSMISSION; EPIDEMIC; FINLAND; GAMBIA; INCIDENCE; MEASLES; PREDICTION; PROBABILITY; QUALITATIVE ANALYSIS; RESPIRATORY SYNCYTIAL PNEUMOVIRUS; RESPIRATORY SYNCYTIAL VIRUS INFECTION; SEASONAL VARIATION; STOCHASTIC MODEL; TIME SERIES ANALYSIS; UNITED KINGDOM; ALGORITHM; BIOLOGY; CHILD; COHORT ANALYSIS; EPIDEMIOLOGY; FACTUAL DATABASE; HUMAN; METHODOLOGY; NONLINEAR SYSTEM; SEASON; STATISTICAL MODEL; STATISTICS;

RESPIRATORY SYNCYTIAL VIRUS;

ALGORITHMS; CHILD; COHORT STUDIES; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; EPIDEMICS; EPIDEMIOLOGIC METHODS; FINLAND; GAMBIA; HUMANS; MEASLES; MODELS, STATISTICAL; NONLINEAR DYNAMICS; RESEARCH DESIGN; RESPIRATORY SYNCYTIAL VIRUS INFECTIONS; SEASONS; STOCHASTIC PROCESSES;

EID: 79952481627     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1001079     Document Type: Article

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