Effects of heterogeneous and clustered contact patterns on infectious disease dynamics

PLoS Computational Biology

Volumn 7, Issue 6, 2011, Pages

  Volz, Erik M ^a   Miller, Joel C ^b,c   Galvani, Alison ^d   Meyers, Lauren ^e,f  

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

^b HARVARD UNIVERSITY   (United States)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

^d YALE UNIVERSITY   (United States)

^e SANTA FE INSTITUTE   (United States)

^f UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; DYNAMICS; EPIDEMIOLOGY; ORDINARY DIFFERENTIAL EQUATIONS;

CLUSTERINGS; CONSEQUENCE MODELS; CONTACT NETWORKS; CONTACT PATTERN; DEGREE DISTRIBUTIONS; DISEASE DYNAMICS; EPIDEMIC DYNAMICS; INFECTIOUS DISEASE; NUMBER OF CONTACTS; SPATIAL CLUSTERING;

SOLVENTS;

ARTICLE; CONTROLLED STUDY; DISEASE SURVEILLANCE; DISEASE TRANSMISSION; EPIDEMIC; HOUSEHOLD; INFECTION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; POPULATION MODEL; POPULATION STRUCTURE; PREDICTION; SOCIAL INTERACTION; SYSTEMATIC ERROR; ALGORITHM; BIOLOGY; CLUSTER ANALYSIS; CONTACT EXAMINATION; FAMILY SIZE; HUMAN; HUMAN RELATION; THEORETICAL MODEL;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; CONTACT TRACING; DISEASE TRANSMISSION, INFECTIOUS; EPIDEMICS; FAMILY CHARACTERISTICS; HUMANS; INTERPERSONAL RELATIONS; MODELS, THEORETICAL;

EID: 79959857702     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002042     Document Type: Article

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