Evolutionary dynamics of complex networks of HIV drug-resistant strains: The case of San Francisco

Science

Volumn 327, Issue 5966, 2010, Pages 697-701

  Smith, Robert J ^a,c   Okano, Justin T ^a   Kahn, James S ^b   Bodine, Erin N ^a,d   Blower, Sally ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF OTTAWA   (Canada)

^d UNIVERSITY OF TENNESSEE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LAMIVUDINE; NELFINAVIR; ZIDOVUDINE;

DISEASE RESISTANCE; DISEASE TRANSMISSION; DRUG; EPIDEMIC; HUMAN IMMUNODEFICIENCY VIRUS; IMMUNE RESPONSE; INFECTIOUS DISEASE; PUBLIC HEALTH;

ARTICLE; DYNAMICS; EVOLUTION; EXPERIMENTAL MODEL; HIGHLY ACTIVE ANTIRETROVIRAL THERAPY; HUMAN IMMUNODEFICIENCY VIRUS; IMMUNOLOGY; NONHUMAN; PRIORITY JOURNAL; PUBLIC HEALTH; VIROLOGY; VIRUS LOAD; VIRUS RESISTANCE; VIRUS STRAIN; WILD TYPE;

ANTI-HIV AGENTS; ANTIRETROVIRAL THERAPY, HIGHLY ACTIVE; COMPUTER SIMULATION; DISEASE OUTBREAKS; DRUG RESISTANCE, MULTIPLE, VIRAL; DRUG RESISTANCE, VIRAL; DRUG THERAPY, COMBINATION; EVOLUTION, MOLECULAR; FORECASTING; HIV; HIV INFECTIONS; HIV PROTEASE INHIBITORS; HOMOSEXUALITY, MALE; HUMANS; MALE; MODELS, STATISTICAL; MONTE CARLO METHOD; PROBABILITY; REVERSE TRANSCRIPTASE INHIBITORS; SAN FRANCISCO;

CALIFORNIA; SAN FRANCISCO; UNITED STATES;

EID: 76249130812     PISSN: 00368075     EISSN: 10959203     Source Type: Journal    
DOI: 10.1126/science.1180556     Document Type: Article

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30. R.J.S., J.T.O., E.N.B., and S.B. acknowledge the financial support of the National Institute of Allergy and Infectious Diseases (NIAID) (RO1 AI041935). R.J.S. is supported by a Natural Sciences and Engineering Research Council of Canada discovery grant, an Early Researcher award, and funding from Mathematics of Information Technology and Complex Systems. In addition, S.B. acknowledges the John Simon Guggenheim Foundation, the National Academies Keck Foundation, and the Semel Institute for Neuroscience & Human Behavior. J.S.K. acknowledges NIAID grants P30-AI27763, NCRR K24RR024369, and AHRQ R18-HS017784. We thank R. Breban, D. Freimer, J. Freimer, N. Freimer, N. Jewell, E. Kajita, T. Pylko, V. Supervie, and R. Vardavas for useful discussions throughout the course of this research.