The Rise and Fall of HIV in High-Prevalence Countries: A Challenge for Mathematical Modeling

PLoS Computational Biology

Volumn 10, Issue 3, 2014, Pages

  Nagelkerke, Nico J D ^a,b,c   Arora, Paul ^d   Jha, Prabhat ^d   Williams, Brian ^e   McKinnon, Lyle ^f,g   de Vlas, Sake J ^b  

^a UNITED ARAB EMIRATES UNIVERSITY   (United Arab Emirates)

^b ERASMUS MEDICAL CENTER   (Netherlands)

^c UNIVERSITY OF MANITOBA   (Canada)

^d ST MICHAEL'S HOSPITAL   (Canada)

^e STELLENBOSCH UNIVERSITY   (South Africa)

^f UNIVERSITY OF TORONTO   (Canada)

^g UNIVERSITY OF NAIROBI   (Kenya)

Author keywords

[No Author keywords available]

Indexed keywords

EPIDEMIOLOGY;

BEHAVIOUR CHANGES; CURRENT MODELING; HIV TRANSMISSION; NATURAL DYNAMICS; QUANTITATIVE ESTIMATES; SEXUAL BEHAVIORS; SEXUAL CONTACTS; SUB-SAHARAN AFRICA;

RISK PERCEPTION;

ADAPTIVE IMMUNITY; AFRICA SOUTH OF THE SAHARA; ARTICLE; BEHAVIOR CHANGE; DISEASE PREDISPOSITION; DISEASE TRANSMISSION; EPIDEMIC; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; INFECTION RISK; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PREVALENCE; QUANTITATIVE ANALYSIS; RISK ASSESSMENT; SEXUAL BEHAVIOR;

AFRICA; ANTI-RETROVIRAL AGENTS; COMPUTER SIMULATION; EPIDEMICS; HIV INFECTIONS; HUMANS; MODELS, THEORETICAL; PREVALENCE; RISK-TAKING; SEXUAL BEHAVIOR;

EID: 84897470604     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003459     Document Type: Article

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