Simple epidemiological dynamics explain phylogenetic clustering of HIV from patients with recent infection

PLoS Computational Biology

Volumn 8, Issue 6, 2012, Pages

  Volz, Erik M ^a   Koopman, James S ^a   Ward, Melissa J ^b   Brown, Andrew Leigh ^b   Frost, Simon D W ^c  

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

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASES; DYNAMICS; PHYLOGENETIC;

CHRONIC INFECTION; CLUSTERINGS; CO-CLUSTERING; HIGH TRANSMISSION; HIGH TRANSMISSION RATE; HIV INFECTION; PHYLOGENETICS; SIMPLE MODELING; SIMPLE++; TRANSMISSION RATES;

VIRUSES;

FAS ANTIGEN;

ARTICLE; CD4 LYMPHOCYTE COUNT; GENE CLUSTER; HIGH RISK BEHAVIOR; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS 1; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INFECTION RATE; MALE; MALE HOMOSEXUAL; MATHEMATICAL MODEL; NONHUMAN; PHYLOGENETIC TREE; VIRUS CELL INTERACTION; VIRUS INFECTIVITY; VIRUS LOAD; VIRUS TRANSMISSION; BIOLOGICAL MODEL; BIOLOGY; CLASSIFICATION; CLUSTER ANALYSIS; COMPUTER SIMULATION; DISEASE TRANSMISSION; EPIDEMIC; EPIDEMIOLOGY; GENETICS; HOMOSEXUALITY; PHYLOGENY; STATISTICS; STRUCTURAL GENE; TIME; UNITED STATES; VIROLOGY;

HUMAN IMMUNODEFICIENCY VIRUS 1;

CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; EPIDEMICS; EPIDEMIOLOGIC FACTORS; GENES, POL; HIV INFECTIONS; HIV-1; HOMOSEXUALITY, MALE; HUMANS; MALE; MICHIGAN; MODELS, BIOLOGICAL; PHYLOGENY; TIME FACTORS;

EID: 84864075429     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002552     Document Type: Article

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