Modeling heterogeneity in direct infectious disease transmission in a compartmental model

International Journal of Environmental Research and Public Health

Volumn 13, Issue 3, 2016, Pages

  Kong, Lingcai ^a,b,c   Wang, Jinfeng ^a,c,d   Han, Weiguo ^e   Cao, Zhidong ^f  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c CHINESE CENTER FOR DISEASE CONTROL AND PREVENTION   (China)

^d NANJING NORMAL UNIVERSITY   (China)

^e UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH   (United States)

^f INSTITUTE OF AUTOMATION   (China)

Author keywords

Heterogeneity; negative binomial distribution; Homogeneous mixing; Infectious diseases; Mathematical models

Indexed keywords

COMPUTER SIMULATION; DISEASE TRANSMISSION; HETEROGENEITY; INFECTIOUS DISEASE; MIXING; NUMERICAL MODEL; PROBABILITY DENSITY FUNCTION; SEVERE ACUTE RESPIRATORY SYNDROME;

ARTICLE; BINOMIAL DISTRIBUTION; COMPARTMENT MODEL; COMPUTER SIMULATION; CONTROLLED STUDY; DISEASE SIMULATION; DISEASE TRANSMISSION; MATHEMATICAL COMPUTING; PROBABILITY; PROCESS DEVELOPMENT; PROCESS MODEL; SEVERE ACUTE RESPIRATORY SYNDROME; BIOLOGICAL MODEL; CHINA; COMMUNICABLE DISEASES; GENETIC HETEROGENEITY; HUMAN; INCIDENCE; THEORETICAL MODEL; TRANSMISSION;

BEIJING [CHINA]; CHINA;

BEIJING; COMMUNICABLE DISEASES; EPIDEMIOLOGIC METHODS; GENETIC HETEROGENEITY; HUMANS; INCIDENCE; MODELS, BIOLOGICAL; MODELS, THEORETICAL;

EID: 84975769863     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph13030253     Document Type: Article

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