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Objective To consolidate recent information on elimination and eradication goals for infectious diseases and clarify the definitions and associated terminology for different goals. Methods We conducted a systematic search of the World Health Organization's Institutional Repository for Information Sharing (WHO IRIS) and a customized systematic Google advanced search for documents published between 2008 and 2022 on elimination or eradication strategies for infectious conditions authored by WHO or other leading health organizations. We extracted information on names of infectious conditions, the elimination and eradication goals and timelines, definitions of goals, non-standardized terminology, targets and assessment processes. Findings We identified nine goals for 27 infectious conditions, ranging from disease control to eradication. In comparison with the hierarchy of disease control, as defined at the Dahlem Workshop in 1997, six goals related to disease control with varying levels of advancement, two related to elimination and one to eradication. Goals progressed along a disease-control continuum, such as end of disease epidemic to pre-elimination to elimination as a public health problem or threat. We identified the use of non-standardized terminology with certain goals, including virtual elimination, elimination of disease epidemics, public health threat and public health concern. Conclusion As we approach the 2030 target date to achieve many of the goals related to disease control and for other infections to become candidates for elimination in the future, clarity of definitions and objectives is important for public health professionals and policy-makers to avoid misperceptions and miscommunication. Objectif Rassembler les informations recentes concernant les objectifs d'elimination et d'eradication des maladies infectieuses, mais aussi clarifier la terminologie et les definitions associees aux differents objectifs. Methodes Nous avons mene une recherche systematique au sein des archives institutionnelles pour l'echange d'informations (IRIS) de l'Organisation mondiale de la Sante (OMS), ainsi qu'une recherche systematique personnalisee dans Google Advanced Search, afin de trouver des documents publies entre 2008 et 2022 portant sur les strategies d'elimination ou d'eradication de maladies infectieuses et rediges par l'OMS ou par d'autres organisations sanitaires majeures. Nous avons ensuite extrait les informations relatives aux noms des maladies infectieuses, aux objectifs et delais d'elimination ou d'eradication, a la definition des objectifs, a la terminologie non standardisee, aux orientations et aux processus d'evaluation. Resultats Nous avons identifie neuf objectifs pour 27 maladies infectieuses, allant de la lutte contre la maladie a son eradication. Selon la classification du controle des maladies telle que definie lors de l'Atelier Dahlem en 1997, six objectifs etaient lies a la lutte contre les infections a divers degres d'avancement, deux a l'elimination et un a l'eradication. Ces objectifs evoluaient dans un continuum de lutte contre les maladies, par exemple de la fin d'une epidemie a l'elimination de la maladie en tant que probleme ou menace pour la sante publique, en passant par sa pre-elimination. Nous avons constate l'emploi d'une terminologie non standardisee pour certains objectifs: elimination virtuelle, elimination d'epidemies, menace sanitaire et probleme de sante publique notamment. Conclusion A mesure que nous nous rapprochons de l'echeance de 2030 en matiere de realisation des objectifs de lutte contre les maladies, et pour que d'autres infections puissent pretendre a une elimination dans le futur, il est crucial de clarifier les definitions et les perspectives afin d'eviter toute erreur de communication et de perception chez les professionnels de la sante publique et les responsables politiques. Objetivo Consolidar la informacion reciente relativa a los objetivos de eliminacion y erradicacion de enfermedades infecciosas, y aclarar las definiciones y la terminologia asociada a los diferentes objetivos. Metodos Llevamos a cabo una investigacion sistematica del Repositorio Institucional para el Intercambio de Informacion de la Organizacion Mundial de la Salud (IRIS OMS) y una Busqueda sistematica Avanzada en Google de documentos publicados entre 2008 y 2022 que versaban sobre las estrategias de eliminacion y erradicacion de enfermedades infecciosas. Estos documentos habian sido redactados por la OMS o por importantes organizaciones sanitarias. Recabamos informacion acerca de nombres de enfermedades infecciosas, objetivos y plazos de eliminacion y erradicacion, definiciones de objetivos, terminologia no estandarizada, asi como fines y procesos de evaluacion. Resultados Identificamos nueve objetivos para 27 enfermedades infecciosas, desde el control de dichas enfermedades hasta su erradicacion. En funcion de la jerarquia de control de enfermedades, segun se definio en el Taller de Dahlem en 1997, existian seis objetivos relacionados con el control de enfermedades, que contaban con diferentes niveles de avance; dos objetivos relacionados con la eliminacion, y uno que trataba sobre la erradicacion. Los objetivos evolucionaron hacia un continuum en el control de enfermedades, desde el fin de la enfermedad epidemica a la preeliminacion y la eliminacion como problema o amenaza publica sanitaria. Detectamos el uso de terminologia no estandarizada en determinados objetivos. Ejemplos de esta terminologia son eliminacion virtual, eliminacion de enfermedades epidemicas, amenaza publica sanitaria y preocupacion publica sanitaria. Conclusion Dado que nos acercamos a la fecha limite establecida de 2030 para lograr numerosos objetivos relacionados con el control de enfermedades y con otras afecciones que puedan ser objeto de eliminacion en el futuro, es crucial mantener la claridad en las definiciones y en los objetivos para que los profesionales publicos sanitarios y las personas encargadas de la elaboracion de politicas no hagan uso de ideas erroneas y no haya problemas de comunicacion. [phrase omitted], Introduction In the past two decades, strong political and financial commitments have led to remarkable national and regional achievements in controlling communicable diseases. The World Health Organization (WHO) has called [...]

: Introduction: New South Wales (NSW) has one of the world's highest uptake rates of HIV pre‐exposure prophylaxis (PrEP). This uptake has been credited with sharp declines in HIV transmission, particularly among Australian‐born gay and bisexual men. Concerns have been raised around the potential for the emergence of tenofovir (TFV) and XTC (lamivudine/emtricitabine) resistance in settings of high PrEP use. Such an emergence could also increase treatment failure and associated clinical outcomes among people living with HIV (PLHIV). Despite low levels of nucleoside reverse‐transcriptase inhibitor (NRTI) resistance relating to PrEP use in clinical settings, there are few published studies describing the prevalence of NRTI resistance among people newly diagnosed with HIV in a setting of high PrEP use. Methods: Using HIV antiretroviral drug resistance data linked to NSW HIV notifications records of people diagnosed from 1 January 2015 to 31 December 2021 and with HIV attributed to male‐to‐male sex, we described trends in TFV and XTC resistance. Resistance was identified using the Stanford HIV Drug Resistance genotypic resistance interpretation system. To focus on transmitted drug resistance, resistance prevalence estimates were generated using sequences taken less than 3 months post‐HIV diagnosis. These estimates were stratified by timing of sequencing relative to the date of diagnosis, year of sequencing, birthplace, likely place of HIV acquisition, and stage of HIV at diagnosis. Results: Among 1119 diagnoses linked to HIV genomes sequenced less than 3 months following diagnosis, overall XTC resistance prevalence was 1.3%. Between 2015 and 2021, XTC resistance fluctuated between 0.5% to 2.9% and was 1.0% in 2021. No TFV resistance was found over the study period in any of the sequences analysed. Higher XTC resistance prevalence was observed among people with newly acquired HIV (evidence of HIV acquisition in the 12 months prior to diagnosis; 2.9%, p = 0.008). Conclusions: In this Australian setting, TFV and XTC resistance prevalence in new HIV diagnoses remained low. Our findings offer further evidence for the safe scale‐up of PrEP in high‐income settings, without jeopardizing the treatment of those living with HIV., INTRODUCTION Australia has made remarkable progress in its effort to meet the UNAIDS 2030 target of ending AIDS as a public health threat with HIV diagnoses attributed to male‐to‐male sex [...]

Introduction: Due to a lack of robust population denominators, Australia is unable to accurately monitor changes in the HIV epidemic for some populations. The ratio of HIV transmission relative to the number of people with HIV (an incidence prevalence ratio, or IPR) can measure such changes. The IPR is measured against an IPR benchmark derived from post‐HIV acquisition life expectancy, to indicate whether an HIV epidemic is shrinking or growing. Using IPRs and Australia‐specific IPR benchmarks, this study aims to describe the Australian HIV epidemic among three groups: men with HIV attributed to male‐to‐male sex, women with HIV and people with HIV attributed to injection drug use. Methods: Using mathematical modelling derived from HIV notifications, cohort and administrative data, IPRs were generated for each of the three groups. These IPRs were compared with IPR benchmarks derived from post‐HIV acquisition mortality estimates using abridged life tables for men, women and people who inject drugs. The IPR benchmark for men was applied to people with HIV attributed to male‐to‐male sex. Trends in the IPR over time were described for each reported population from 2015 to 2022. Results: Overall, the IPR fell by 80%, from 0.040 (range: 0.034−0.045) in 2015 to 0.008 (range: 0.003−0.013) in 2022 and fell below the benchmark (0.022) in 2020. Among people with HIV attributed to male‐to‐male sex, the IPR fell by 85%, from 0.041 (range: 0.034−0.047) in 2015 to 0.006 (range: 0.003−0.024) in 2022 and fell below the benchmark (0.022) in 2020. Among women with HIV, the IPR fell by 56%, from 0.032 (range: 0.026−0.039) in 2015 to 0.014 (range: 0.003−0.029) in 2022 and fell below the benchmark (0.022) in 2019. Among people with HIV attributed to injection drug use, the IPR fell by 61%, from 0.036 (range: 0.022−0.047) in 2015 to 0.014 (range: 0.002−0.057) in 2022 and fell below the benchmark (0.028) in 2019. Conclusions: Australian IPRs in all populations examined have dropped below the level required to sustain the HIV epidemic at current levels. By applying this method in other contexts, the changing scale of HIV epidemics may be better described for populations lacking robust population denominators. [ABSTRACT FROM AUTHOR]

: Introduction: Australia has set the goal for the virtual elimination of HIV transmission by the end of 2022, yet accurate information is lacking on the level of HIV transmission occurring among residents. We developed a method for estimating the timing of HIV acquisition among migrants, relative to their arrival in Australia. We then applied this method to surveillance data from the Australian National HIV Registry with the aim of ascertaining the level of HIV transmission among migrants to Australia occurring before and after migration, and to inform appropriate local public health interventions. Methods: We developed an algorithm incorporating CD4[sup.+] T‐cell decline back‐projection and enhanced variables (clinical presentation, past HIV testing history and clinician estimate of the place of HIV acquisition) and compared it to a standard algorithm which uses CD4[sup.+] T‐cell back‐projection only. We applied both algorithms to all new HIV diagnoses among migrants to estimate whether HIV infection occurred before or after arrival in Australia. Results: Between 1 January 2016 and 31 December 2020, 1909 migrants were newly diagnosed with HIV in Australia, 85% were men, and the median age was 33 years. Using the enhanced algorithm, 932 (49%) were estimated to have acquired HIV after arrival in Australia, 629 (33%) before arrival (from overseas), 250 (13%) close to arrival and 98 (5%) were unable to be classified. Using the standard algorithm, 622 (33%) were estimated to have acquired HIV in Australia, 472 (25%) before arrival, 321 (17%) close to arrival and 494 (26%) were unable to be classified. Conclusions: Using our algorithm, close to half of migrants diagnosed with HIV were estimated to have acquired HIV after arrival in Australia, highlighting the need for tailored culturally appropriate testing and prevention programmes to limit HIV transmission and achieve elimination targets. Our method reduced the proportion of HIV cases unable to be classified and can be adopted in other countries with similar HIV surveillance protocols, to inform epidemiology and elimination efforts., INTRODUCTION UNAIDS has set the ambitious target to eliminate the global transmission of HIV by 2030 [1] and Australia is aiming for “virtual elimination” by the end of 2022 [2]. [...]

Background: Evidence regarding the characteristics of second primary cancer (SPC) in people living with HIV (PLWHIV) is limited., Setting: We performed a national population-based data linkage study to determine the incidence and risk factors of SPC in PLWHIV in Australia between 1982 and 2012., Methods: We conducted a probabilistic data linkage study to compare the incidence of SPC over time, defined using HIV treatment eras, for SPCs related to oncogenic viral infection in comparison with non-infection-related SPCs. Risk factors considered included age at diagnosis of cancer, sex, HIV exposure modality, and CD4 + count., Results: Of 29,383 individuals diagnosed with HIV, 3123 individuals who developed a first primary cancer were included in the analysis. Among them, 229 cases of SPC were identified across 27,398 person-years of follow-up. The most common SPCs were non-Hodgkin lymphomas (n = 71, 31%). The incidence of SPC overall did not change over time; however, there was an increase in individuals diagnosed with HIV in later eras ( P trend =0.001). The incidence of non-infection-related SPC increased over time and was associated with older age ( P trend = 0.005) and the acquisition of HIV in later eras ( P trend <0.001). Conversely, the incidence of infection-related SPC decreased ( P trend <0.001), but this was no longer significant after adjustment for age ( P trend = 0.14)., Conclusions: The risk of SPC in PLWHIV in Australia remains high, with a temporal increase observed in non-infection-related cancer, likely due to aging of the population. Optimal screening and prevention strategies for SPC in PLWHIV are increasingly important., Competing Interests: The authors have no funding or conflicts of interest to disclose., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)