Field | Value |
dc.contributor.author | de Boer, Rebecca |
dc.contributor.author | Lutscher, Frithjof |
dc.date.accessioned | 2018-06-19T13:55:44Z |
dc.date.available | 2019-03-15T09:00:09Z |
dc.date.issued | 2018 |
dc.identifier.uri | http://hdl.handle.net/10393/37782 |
dc.description.abstract | Even though medical intervention measures against HIV transmission are
available, the epidemic continues to spread in several sub-Saharan African
countries. Empirical studies indicate that many people are unable to implement
prevention strategies because of individual factors, such as extreme
poverty or lack of education, but also because or relational factors, such
as gender-based violence or transactional sex. This phenomenon, known as
choice disability, may be such a large obstacle in the effectiveness of medical
interventions that several field trials of structural (non-medical) interventions
are underway that address these issues. While dynamical-systems models are
frequently used to advise management and policy around infectious diseases,
they typically assume that individuals are free to make optimal choices. We
derive and analyze a novel model where individuals have a certain choice
status, based on which they are more or less likely to transmit or receive the
infection. Choice status is affected by social interactions. When studying
the model in the absence of an infectious disease, we find that structural interventions
aimed at raising the status of one group can have the unintended
side effect of lowering the status of another group. When combined with an
epidemic model, we find that the same structural interventions can even increase
the total prevalence of a disease in the population. Our model provides
a framework to evaluate the possible effectiveness of structural intervention
in an epidemic. |
dc.language.iso | en |
dc.subject | HIV epidemic model |
dc.subject | multigroup model |
dc.subject | choice-disability |
dc.subject | structural intervention |
dc.subject | dynamical system |
dc.title | Choice Disability as a target for non-medical HIV intervention |
dc.type | Article |
dc.embargo.terms | 2019-03-15 |
dc.identifier.doi | 10.1016/j.mbs.2018.03.015 |
Collection | Mathématiques et statistiques // Mathematics and Statistics
|