Using multitype branching processes to quantify statistics of disease outbreaks in zoonotic epidemics

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 89, Issue 3, 2014, Pages

  Singh, Sarabjeet ^a   Schneider, David J ^b   Myers, Christopher R ^a  

^a Cornell University   (United States)

^b ROBERT W HOLLEY CENTER FOR AGRICULTURE AND HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMALS; DISEASES; POPULATION STATISTICS;

BASIC REPRODUCTION NUMBER; FIRST PASSAGE TIME DISTRIBUTIONS; HUMAN-TO-HUMAN TRANSMISSION; INFECTIOUS DISEASE; MULTICRITICAL POINT; MULTITYPE BRANCHING PROCESS; STATISTICAL QUANTITY; STOCHASTIC FLUCTUATION;

PROBABILITY DISTRIBUTIONS;

ANIMAL; COMMUNICABLE DISEASES, EMERGING; COMPUTER SIMULATION; EPIDEMIC; HEALTH SURVEY; HUMAN; PROCEDURES; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; ZOONOSES;

ANIMALS; COMMUNICABLE DISEASES, EMERGING; COMPUTER SIMULATION; DISEASE OUTBREAKS; HUMANS; MODELS, STATISTICAL; POPULATION SURVEILLANCE; PROPORTIONAL HAZARDS MODELS; RISK ASSESSMENT; ZOONOSES;

EID: 84898931540     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.89.032702     Document Type: Article

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