Predicting the impact of antiretrovirals in resource-poor settings: preventing HIV infections whilst controlling drug resistance.
about
Modelling the evolution of drug resistance in the presence of antiviral drugsHIV treatment as prevention: contradictory perspectives from dynamic mathematical modelsHidden drug resistant HIV to emerge in the era of universal treatment access in Southeast AsiaAn affordable HIV-1 drug resistance monitoring method for resource limited settingsStudy the drug adherence and possible factor influencing drug adherence in HIV/AIDS patients in north eastern part of IndiaDynamic mathematical models of HIV/AIDS transmission in China.The dual impact of antiretroviral therapy and sexual behaviour changes on HIV epidemiologic trends in Uganda: a modelling studyModelling sexual transmission of HIV: testing the assumptions, validating the predictions.HIV transmission risk among serodiscordant couples: a retrospective study of former plasma donors in Henan, ChinaAdherence to highly active antiretroviral therapy in a tertiary care hospital in West Bengal, India.Averting HIV infections in New York City: a modeling approach estimating the future impact of additional behavioral and biomedical HIV prevention strategies.Predicting the epidemiological impact of antiretroviral allocation strategies in KwaZulu-Natal: the effect of the urban-rural dividePotential impact of multiple interventions on HIV incidence in a hyperendemic region in Western Kenya: a modelling study.HIV drug-resistant strains as epidemiologic sentinelsAdherence to anti-retroviral therapy & factors associated with it: A community based cross-sectional study from West Bengal, IndiaRisk compensation: the Achilles' heel of innovations in HIV prevention?Evidence for the reliability and validity of the internalized AIDS-related stigma scale in rural UgandaUniversal testing and treatment as an HIV prevention strategy: research questions and methods.Modelling the impact of antiretroviral therapy on the epidemic of HIVSampling and sensitivity analyses tools (SaSAT) for computational modelling.Effectiveness and cost-effectiveness of potential responses to future high levels of transmitted HIV drug resistance in antiretroviral drug-naive populations beginning treatment: modelling study and economic analysis.Pretreatment HIV drug resistance results in virological failure and accumulation of additional resistance mutations in Ugandan children.Skin diseases highlighting essential global public health priorities.A cost-effectiveness analysis of HIV preexposure prophylaxis for men who have sex with men in Australia.Resistance to antiretroviral drugs in newly diagnosed, young treatment-naïve HIV-positive pregnant women in the province of KwaZulu-Natal, South Africa.Management of drug resistance in the population: influenza as a case study.Transmitted Resistance: An Overview and Its Potential Relevance to the Management of HIV-Infected Persons in Resource-Limited SettingsIntervenciones para la prevención del VIH e ITS en América Latina y Caribe: una revisión de la experiencia regional
P2860
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P2860
Predicting the impact of antiretrovirals in resource-poor settings: preventing HIV infections whilst controlling drug resistance.
description
2003 nî lūn-bûn
@nan
2003 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Predicting the impact of antir ...... t controlling drug resistance.
@ast
Predicting the impact of antir ...... t controlling drug resistance.
@en
Predicting the impact of antir ...... t controlling drug resistance.
@nl
type
label
Predicting the impact of antir ...... t controlling drug resistance.
@ast
Predicting the impact of antir ...... t controlling drug resistance.
@en
Predicting the impact of antir ...... t controlling drug resistance.
@nl
prefLabel
Predicting the impact of antir ...... t controlling drug resistance.
@ast
Predicting the impact of antir ...... t controlling drug resistance.
@en
Predicting the impact of antir ...... t controlling drug resistance.
@nl
P2093
P356
P1476
Predicting the impact of antir ...... t controlling drug resistance.
@en
P2093
P304
P356
10.2174/1568005033480999
P50
P577
2003-12-01T00:00:00Z