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Peter W Young

Biographic Data

ID7727557
NAMEPeter W Young
GIVEN NAMESPeter W
FAMILY NAMEYoung
SIGNATUREYOUNG P W
AFFILIATIONSMinistry of Health
ORCID0000-0002-7432-2876
VERIFIEDYes
TOTAL WORKS14
TOTAL CITATIONS0
WORKS AS AUTHOR14
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Non-disclosure of Known HIV Status among People Living with HIV in the Mozambique Population-Based HIV Impact Assessment (Insida 2021)

    Open Access•K Carter McCabe, Ângelo Augusto et al.•ARTICLE•AIDS and Behavior•2025

  • Causes of death in HIV-infected and HIV-uninfected children aged under-five years in western Kenya

    Dickens O Onyango, Mercè de Febrer et al.•ARTICLE•AIDS•2022

    Nearly all HIV-infected decedents' underlying cause of death was HIV disease, which was associated with malnutrition. Our findings underscore the need for strengthening early identification and management of HIV-infected children. Prevention, early diagnosis and treatment of malnutrition could be instrumental in improving the survival of HIV-infected and HIV-uninfected children.

  • Methods for conducting trends analysis

    Open Access•Thomas Achia, Ismael Flores Cervantes et al.•ARTICLE•BMC Public Health•2022

    Our approach can be used to support trend comparisons for variables in HIV surveys in low-income settings. Independent national household surveys can be assessed for comparability, adjusted as appropriate, and used to estimate trends in key indicators. Analyzing trends over time can not only provide insights into Kenya's progress toward HIV epidemic control but also identify gaps

  • All-cause and cause-specific mortality rates for Kisumu County

    Open Access•Wanjiru Waruiru, Violet Oramisi et al.•ARTICLE•BMC Public Health•2022

    Background Understanding the magnitude and causes of mortality at national and sub-national levels for countries is critical in facilitating evidence-based prioritization of public health response. We provide comparable cause of death data from Kisumu County, a high HIV and malaria-endemic county in Kenya, and compared them with Kenya and low-and-middle income countries (LMICs). Methods We analyzed data from a mortuary-based study at two of the l…

  • Recognizing the hidden

    Open Access•Cynthia Semá Baltazar, Makini Boothe et al.•ARTICLE•BMC Public Health•2021

    High quality, representative data from HIV surveillance systems that have country ownership and commitment are critical for guiding national HIV responses, especially among key and priority populations given their disproportionate role in the transmission of the virus. Between 2011 to 2013, the Mozambique Ministry of Health has conducted five Biobehavioral Surveillance Surveys among key populations (female sex workers, men who has sex with men an…

  • Bisexual and Bidirectional

    Open Access•Beverley Cummings, Roberta Horth et al.•ARTICLE•AIDS and Behavior•2017

  • Risk Factors Associated with HIV Among Men Who Have Sex Only with Men and Men Who Have Sex with Both Men and Women in Three Urban Areas in Mozambique

    Open Access•Isabel Sathane, Roberta Horth et al.•ARTICLE•AIDS and Behavior•2016

  • Socio-demographic, Behavioral and Health Characteristics of Underage Female Sex Workers in Mozambique

    Open Access•Celso Inguane, Roberta Horth et al.•ARTICLE•AIDS and Behavior•2015

  • Prevalence of HIV and Associated Risk Factors Among Long Distance Truck Drivers in Inchope, Mozambique, 2012

    Open Access•Carlos Botão, Roberta Horth et al.•ARTICLE•AIDS and Behavior•2015

  • High Burden of HIV Infection and Risk Behaviors Among Female Sex Workers in Three Main Urban Areas of Mozambique

    Open Access•Ângelo Augusto, Ângelo do Rosário Augusto et al.•ARTICLE•AIDS and Behavior•2015

  • Correlates of HIV Testing Among Men Who have Sex with Men in Three Urban Areas of Mozambique

    Open Access•Roberta Horth, Roberta Z Horth et al.•ARTICLE•AIDS and Behavior•2015

    This is the first study to identify levels of recent HIV testing and associated factors among men who have sex with men (MSM) in Mozambique. Using data from Maputo (n = 493), Beira (n = 572), and Nampula/Nacala (n = 347), collected via respondent-driven sampling in 2011, and excluding those with prior known infection, we found that 30.4 % [95 % confidence interval (CI) 25.0-36.3 %], 42.1 % (95 % CI 36.8-47.3 %) and 29.8 % (95 % CI 22.9-36.9 %), r…

  • HIV Prevalence and Risk Behaviors Among Mozambicans Working in South African Mines

    Open Access•Cynthia Semá Baltazar, Roberta Horth et al.•ARTICLE•AIDS and Behavior•2014

    Mineworkers are considered a population at risk for HIV due to risk behaviors associated with migratory work patterns. This was the first study in Mozambique to determine the prevalence of HIV and associated demographic and risk behaviors, and assess use and access to prevention and healthcare services among Mozambicans working in South African mines. Men who had worked in a South African mine in the past 12 months were recruited between February…

  • Men Who Have Sex with Men in Mozambique

    Open Access•Rassul Nala, Beverley Cummings et al.•ARTICLE•AIDS and Behavior•2014

    The population of men who have sex with men (MSM) has been largely ignored in HIV-related policies and programming in Mozambique and there is little information about the contribution of MSM to the HIV epidemic. An integrated biological and behavioral study among MSM using respondent-driven sampling was conducted in 2011 in Maputo, Beira and Nampula/Nacala. Men who reported engaging in oral or anal sex with other men in the last 12 months answere…

  • Where Are the Newly Diagnosed HIV Positives in Kenya? Time to Consider Geo-Spatially Guided Targeting at a Finer Scale to Reach the “First 90”

    Anthony Waruru, Joyce Wamicwe et al.

    Background: The UNAIDS 90-90-90 Fast-Track targets provide a framework for assessing coverage of HIV testing services (HTS) and awareness of HIV status – the “first 90.” In Kenya, the bulk of HIV testing targets are aligned to the five highest HIV-burden counties. However, we do not know if most of the new HIV diagnoses are in these five highest-burden counties or elsewhere. Methods: We analyzed facility-level HTS data in Kenya from 1 October 201…

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  • HIV Prevalence and Risk Behaviors Among Mozambicans Working in South African Mines

    Open Access•Cynthia Semá Baltazar, Roberta Horth et al.•ARTICLE•AIDS and Behavior•2014

    Mineworkers are considered a population at risk for HIV due to risk behaviors associated with migratory work patterns. This was the first study in Mozambique to determine the prevalence of HIV and associated demographic and risk behaviors, and assess use and access to prevention and healthcare services among Mozambicans working in South African mines. Men who had worked in a South African mine in the past 12 months were recruited between February…

  • Men Who Have Sex with Men in Mozambique

    Open Access•Rassul Nala, Beverley Cummings et al.•ARTICLE•AIDS and Behavior•2014

    The population of men who have sex with men (MSM) has been largely ignored in HIV-related policies and programming in Mozambique and there is little information about the contribution of MSM to the HIV epidemic. An integrated biological and behavioral study among MSM using respondent-driven sampling was conducted in 2011 in Maputo, Beira and Nampula/Nacala. Men who reported engaging in oral or anal sex with other men in the last 12 months answere…

  • Socio-demographic, Behavioral and Health Characteristics of Underage Female Sex Workers in Mozambique

    Open Access•Celso Inguane, Roberta Horth et al.•ARTICLE•AIDS and Behavior•2015

  • Prevalence of HIV and Associated Risk Factors Among Long Distance Truck Drivers in Inchope, Mozambique, 2012

    Open Access•Carlos Botão, Roberta Horth et al.•ARTICLE•AIDS and Behavior•2015

  • High Burden of HIV Infection and Risk Behaviors Among Female Sex Workers in Three Main Urban Areas of Mozambique

    Open Access•Ângelo Augusto, Ângelo do Rosário Augusto et al.•ARTICLE•AIDS and Behavior•2015

  • Correlates of HIV Testing Among Men Who have Sex with Men in Three Urban Areas of Mozambique

    Open Access•Roberta Horth, Roberta Z Horth et al.•ARTICLE•AIDS and Behavior•2015

    This is the first study to identify levels of recent HIV testing and associated factors among men who have sex with men (MSM) in Mozambique. Using data from Maputo (n = 493), Beira (n = 572), and Nampula/Nacala (n = 347), collected via respondent-driven sampling in 2011, and excluding those with prior known infection, we found that 30.4 % [95 % confidence interval (CI) 25.0-36.3 %], 42.1 % (95 % CI 36.8-47.3 %) and 29.8 % (95 % CI 22.9-36.9 %), r…

  • Risk Factors Associated with HIV Among Men Who Have Sex Only with Men and Men Who Have Sex with Both Men and Women in Three Urban Areas in Mozambique

    Open Access•Isabel Sathane, Roberta Horth et al.•ARTICLE•AIDS and Behavior•2016

  • Bisexual and Bidirectional

    Open Access•Beverley Cummings, Roberta Horth et al.•ARTICLE•AIDS and Behavior•2017

  • Recognizing the hidden

    Open Access•Cynthia Semá Baltazar, Makini Boothe et al.•ARTICLE•BMC Public Health•2021

    High quality, representative data from HIV surveillance systems that have country ownership and commitment are critical for guiding national HIV responses, especially among key and priority populations given their disproportionate role in the transmission of the virus. Between 2011 to 2013, the Mozambique Ministry of Health has conducted five Biobehavioral Surveillance Surveys among key populations (female sex workers, men who has sex with men an…

  • Causes of death in HIV-infected and HIV-uninfected children aged under-five years in western Kenya

    Dickens O Onyango, Mercè de Febrer et al.•ARTICLE•AIDS•2022

    Nearly all HIV-infected decedents' underlying cause of death was HIV disease, which was associated with malnutrition. Our findings underscore the need for strengthening early identification and management of HIV-infected children. Prevention, early diagnosis and treatment of malnutrition could be instrumental in improving the survival of HIV-infected and HIV-uninfected children.

  • Methods for conducting trends analysis

    Open Access•Thomas Achia, Ismael Flores Cervantes et al.•ARTICLE•BMC Public Health•2022

    Our approach can be used to support trend comparisons for variables in HIV surveys in low-income settings. Independent national household surveys can be assessed for comparability, adjusted as appropriate, and used to estimate trends in key indicators. Analyzing trends over time can not only provide insights into Kenya's progress toward HIV epidemic control but also identify gaps

  • All-cause and cause-specific mortality rates for Kisumu County

    Open Access•Wanjiru Waruiru, Violet Oramisi et al.•ARTICLE•BMC Public Health•2022

    Background Understanding the magnitude and causes of mortality at national and sub-national levels for countries is critical in facilitating evidence-based prioritization of public health response. We provide comparable cause of death data from Kisumu County, a high HIV and malaria-endemic county in Kenya, and compared them with Kenya and low-and-middle income countries (LMICs). Methods We analyzed data from a mortuary-based study at two of the l…

  • Non-disclosure of Known HIV Status among People Living with HIV in the Mozambique Population-Based HIV Impact Assessment (Insida 2021)

    Open Access•K Carter McCabe, Ângelo Augusto et al.•ARTICLE•AIDS and Behavior•2025

  • Where Are the Newly Diagnosed HIV Positives in Kenya? Time to Consider Geo-Spatially Guided Targeting at a Finer Scale to Reach the “First 90”

    Anthony Waruru, Joyce Wamicwe et al.

    Background: The UNAIDS 90-90-90 Fast-Track targets provide a framework for assessing coverage of HIV testing services (HTS) and awareness of HIV status – the “first 90.” In Kenya, the bulk of HIV testing targets are aligned to the five highest HIV-burden counties. However, we do not know if most of the new HIV diagnoses are in these five highest-burden counties or elsewhere. Methods: We analyzed facility-level HTS data in Kenya from 1 October 201…

Medicine (13 works) · HIV/AIDS Research and Interventions (12 works) · Public health (12 works) · Demography (10 works) · Demography (10 works) · Environmental health (10 works) · Human immunodeficiency virus (HIV (10 works) · Health psychology (9 works) · HIV, Drug Use, Sexual Risk (8 works) · Population (8 works)

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