HIV Drug-resistant Strains as Epidemiologic Sentinels

Observed declines in drug resistance to nucleoside reverse transcriptase inhibitors among persons recently infected with HIV-1 in monitored subpopulations can be interpreted as a positive sign and lead public health officials to decrease efforts towards HIV prevention. By means of a mathematical mod...

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Main Authors: María S. Sánchez, Robert M. Grant, Travis C. Porco, Wayne M. Getz
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2006-02-01
Series:Emerging Infectious Diseases
Subjects:
Online Access:https://wwwnc.cdc.gov/eid/article/12/2/05-0321_article
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author María S. Sánchez
Robert M. Grant
Travis C. Porco
Wayne M. Getz
author_facet María S. Sánchez
Robert M. Grant
Travis C. Porco
Wayne M. Getz
author_sort María S. Sánchez
collection DOAJ
description Observed declines in drug resistance to nucleoside reverse transcriptase inhibitors among persons recently infected with HIV-1 in monitored subpopulations can be interpreted as a positive sign and lead public health officials to decrease efforts towards HIV prevention. By means of a mathematical model, we identified 3 processes that can account for the observed decline: increase in high-risk behavior, decrease in proportion of acutely infected persons whose conditions are treated, and change in treatment efficacy. These processes, singly or in combination, can lead to increases or decreases in disease and drug-resistance prevalence in the general population. We discuss the most appropriate public health response under each scenario and emphasize how further data collection and analyses are required to more reliably evaluate the observed time trends and the relative importance of forces shaping the epidemic. Our study highlights how drug resistance markers can be used as epidemiologic sentinels to devise public health solutions.
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spelling doaj.art-cf2da7ea3c7d4e1f8abb878ba4f93f582022-12-22T00:23:35ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592006-02-0112219119710.3201/eid1202.050321HIV Drug-resistant Strains as Epidemiologic SentinelsMaría S. SánchezRobert M. GrantTravis C. PorcoWayne M. GetzObserved declines in drug resistance to nucleoside reverse transcriptase inhibitors among persons recently infected with HIV-1 in monitored subpopulations can be interpreted as a positive sign and lead public health officials to decrease efforts towards HIV prevention. By means of a mathematical model, we identified 3 processes that can account for the observed decline: increase in high-risk behavior, decrease in proportion of acutely infected persons whose conditions are treated, and change in treatment efficacy. These processes, singly or in combination, can lead to increases or decreases in disease and drug-resistance prevalence in the general population. We discuss the most appropriate public health response under each scenario and emphasize how further data collection and analyses are required to more reliably evaluate the observed time trends and the relative importance of forces shaping the epidemic. Our study highlights how drug resistance markers can be used as epidemiologic sentinels to devise public health solutions.https://wwwnc.cdc.gov/eid/article/12/2/05-0321_articleacute infectiondrug resistanceepidemiologyHIVinfectious diseasemathematical model
spellingShingle María S. Sánchez
Robert M. Grant
Travis C. Porco
Wayne M. Getz
HIV Drug-resistant Strains as Epidemiologic Sentinels
Emerging Infectious Diseases
acute infection
drug resistance
epidemiology
HIV
infectious disease
mathematical model
title HIV Drug-resistant Strains as Epidemiologic Sentinels
title_full HIV Drug-resistant Strains as Epidemiologic Sentinels
title_fullStr HIV Drug-resistant Strains as Epidemiologic Sentinels
title_full_unstemmed HIV Drug-resistant Strains as Epidemiologic Sentinels
title_short HIV Drug-resistant Strains as Epidemiologic Sentinels
title_sort hiv drug resistant strains as epidemiologic sentinels
topic acute infection
drug resistance
epidemiology
HIV
infectious disease
mathematical model
url https://wwwnc.cdc.gov/eid/article/12/2/05-0321_article
work_keys_str_mv AT mariassanchez hivdrugresistantstrainsasepidemiologicsentinels
AT robertmgrant hivdrugresistantstrainsasepidemiologicsentinels
AT traviscporco hivdrugresistantstrainsasepidemiologicsentinels
AT waynemgetz hivdrugresistantstrainsasepidemiologicsentinels