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Modeling the Dynamics of an HIV Epidemic
Jason R. Thomas,
Le Bao
Sociology and Criminology
Statistics
Huck Institutes of the Life Sciences
Center for Infectious Disease Dynamics
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
1
Scopus citations
Overview
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Dive into the research topics of 'Modeling the Dynamics of an HIV Epidemic'. Together they form a unique fingerprint.
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Keyphrases
B-spline
100%
HIV Incidence
100%
HIV Epidemic
100%
HIV Prevalence
100%
Sex-specific
66%
Prevalence Data
66%
Performance Prediction
33%
Politicians
33%
Population Dynamics
33%
Model Change
33%
Design Intervention
33%
Age-specific
33%
Nationally Representative Survey
33%
Policy Program
33%
Planners
33%
Tanzania
33%
Nationally Representative Data
33%
Age-standardized Rate
33%
Antenatal Clinic
33%
Intervention Measures
33%
Biochemistry, Genetics and Molecular Biology
Dynamics
100%
Human Immunodeficiency Virus
100%
Prevalence
55%
Population Dynamics
11%
Economics, Econometrics and Finance
Managers
100%
Population Dynamics
100%
Mathematics
B-Spline
100%
Spline Model
33%
Predictive Performance
33%
Social Sciences
Human Immunodeficiency Virus
100%
Diseases
11%
Population Dynamics
11%