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Large benefits to youth-focused HIV treatment-as-prevention efforts in generalized heterosexual populations: An agent-based simulation model
- Source :
- PLoS Computational Biology, PLoS Computational Biology, Vol 15, Iss 12, p e1007561 (2019)
- Publication Year :
- 2019
- Publisher :
- Public Library of Science, 2019.
-
Abstract
- Predominantly heterosexual HIV-1 epidemics like those in sub-Saharan Africa continue to have high HIV incidence in young people. We used a stochastic, agent-based model for age-disparate networks to test the hypothesis that focusing uptake and retention of ART among youth could enhance the efficiency of treatment as prevention (TasP) campaigns. We used the model to identify strategies that reduce incidence to negligible levels (i.e., < 0.1 cases/100 person-years) 20–25 years after initiation of a targeted TasP campaign. The model was parameterized using behavioral, demographic, and clinical data from published papers and national reports. To keep a focus on the underlying age effects we model a generalized heterosexual population with average risks (i.e., no MSM, no PWIDs, no sex workers) and no entry of HIV+ people from other regions. The model assumes that most people (default 95%, range in variant simulations 60–95%) are “linkable”; i.e., could get linked to effective care given sufficient resources. To simplify the accounting, we assume a rapid jump in the number of people receiving treatment at the start of the TasP campaign, followed by a 2% annual increase that continues until all linkable HIV+ people have been treated. Under historical scenarios of CD4-based targeted ART allocation and current policies of untargeted (random) ART allocation, our model predicts that viral replication would need to be suppressed in 60–85% of infected people at the start of the TasP campaign to drive incidence to negligible levels. Under age-based strategies, by contrast, this percentage dropped by 18–54%, depending on the strength of the epidemic and the age target. For our baseline model, targeting those under age 30 halved the number of people who need to be treated. Age-based targeting also minimized total and time-discounted AIDS deaths over 25 years. Age-based targeting yielded benefits without being highly exclusive; in a model in which 60% of infected people were treated, ~87% and ~58% of those initiating therapy during a campaign targeting those<br />Author summary We used an agent-based model for heterosexual epidemics to evaluate the effects of focusing treatment-as-prevention (TasP) efforts on young people. To keep the focus on age effects, we modeled populations with average risks (i.e., no MSM, no PWIDs, no sex workers). For our baseline model, we found that a long-term TasP program that focuses on HIV+ people under the age of 30 can halve the number of people who need to be treated in order to drive incidence to zero. Within the context of an overall expansion of care, we were able to identify multiple scenarios in which a successful youth-focused TasP campaign also expanded care for older people. Interestingly, we continued to see strong advantages to age-based TasP in sensitivity tests in which we removed key age-related risks (e.g., the tendency for young people to have shorter relationships). Youth-focused TasP succeeds, in large part, because it protects HIV- adolescents entering the sexually active population; i.e., a population that would otherwise be at high risk not only for getting infected but also for spreading the virus to others. This protection of adolescents leads to a steadily expanding AIDS-free generation that drives the virus to extinction.
- Subjects :
- 0301 basic medicine
Male
Viral Diseases
Systems Analysis
Epidemiology
HIV Infections
Adolescents
Systems Science
Families
0302 clinical medicine
Agent-Based Modeling
Biology (General)
Young adult
Children
education.field_of_study
Ecology
Mortality rate
Simulation and Modeling
1. No poverty
Age Factors
Viral Load
3. Good health
AIDS
Infectious Diseases
Computational Theory and Mathematics
HIV epidemiology
Modeling and Simulation
Physical Sciences
Female
Viral load
Research Article
Adult
Computer and Information Sciences
QH301-705.5
Death Rates
Population
HIV prevention
Research and Analysis Methods
Microbiology
Herd immunity
03 medical and health sciences
Cellular and Molecular Neuroscience
Young Adult
Sex Factors
Acquired immunodeficiency syndrome (AIDS)
Population Metrics
Virology
Genetics
medicine
Humans
Heterosexuals
Computer Simulation
education
Epidemics
Heterosexuality
Molecular Biology
Ecology, Evolution, Behavior and Systematics
Medicine and health sciences
Preventive medicine
Population Biology
business.industry
Biology and Life Sciences
Computational Biology
Treatment as prevention
medicine.disease
CD4 Lymphocyte Count
030104 developmental biology
Public and occupational health
Age Groups
People and Places
HIV-1
Population Groupings
business
030217 neurology & neurosurgery
Viral Transmission and Infection
Mathematics
Software
Demography
Sexuality Groupings
Subjects
Details
- Language :
- English
- ISSN :
- 15537358 and 1553734X
- Volume :
- 15
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....7571c506629e0a00765a5e2273ab3983