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A decrease in drug resistance levels of the HIV epidemic can be bad news.
Sanchez-MS; Grant-RM; Porco-TC; Gross-KL; Getz-WM
Bull Math Biol 2005 Jul; 67(4):761-782
Transient decreases in the proportion of individuals newly infected with an HIV-resistant virus (primary resistance) are documented for several cities of North America, including San Francisco. Using a staged SI deterministic model, we identified three potential causes consistent with the history of the epidemic: (1) increase in risky behaviour, (2) reduction in the proportion of HIV-acutely infected individuals undergoing treatment, and (3) replacement of mono- and dual-drug therapies with triple-drug therapies. Although observed patterns resemble scenario 1 most closely, these explanations are not mutually exclusive and may have contributed synergistically to the decline. Under scenario 1 the counterintuitive situation arises where, although the proportion of primary resistance cases decreases transiently, the epidemic worsens because the actual numbers of infected individuals and of drug resistance carriers increases. Our results call for improved efforts to control the epidemic in developed nations, and highlight the usefulness of drug resistant strains as epidemiological markers.
Drugs; HIV; Models; Risk-factors; Risk-analysis; Behavior; Behavior-patterns; Drug-therapy; Epidemiology; Diseases; Disease-transmission; Disease-prevention; Disease-control; Immunology
Issue of Publication
Bulletin of Mathematical Biology
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division