BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

155 related articles for article (PubMed ID: 22292915)

  • 21. Sociodemographic characteristics and health risk behaviours among students of a tertiary institution in south western Nigeria.
    Bamidele JO; Asekun-Olarinmoye EO; Odu OO; Amusan OA; Egbewale BE
    Afr J Med Med Sci; 2007 Jun; 36(2):129-36. PubMed ID: 19205575
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The 90's: gender differences in AIDS-related sexual concerns and behaviors, condom use and subjective condom experiences.
    Juran S
    J Psychol Human Sex; 1995; 7(3):39-60. PubMed ID: 12320382
    [TBL] [Abstract][Full Text] [Related]  

  • 23. HIV-infected women and sexual risk reduction: the relevance of existing models of behavior change.
    Kline A; VanLandingham M
    AIDS Educ Prev; 1994 Oct; 6(5):390-402. PubMed ID: 7818975
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Patterns of sexual behaviour and reported symptoms of STI/RTIs among young people in Croatia--implications for interventions' planning.
    Bozicević I; Stulhofer A; Ajduković D; Kufrin K
    Coll Antropol; 2006 Dec; 30 Suppl 2():63-70. PubMed ID: 17508477
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Epidemiology of sexually transmitted infections, HIV, and related high-risk behaviors among female sex workers in Guangxi Autonomous Region, China.
    Zhu BY; Bu J; Huang PY; Zhou ZG; Yin YP; Chen XS; Wei WH; Zhong MY; Wang HC; Wang H; Gan Q
    Jpn J Infect Dis; 2012; 65(1):75-8. PubMed ID: 22274163
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Disclosure of serostatus to sex partners among HIV-positive men and women in Hawaii.
    Sullivan KM
    Issues Ment Health Nurs; 2009 Nov; 30(11):687-701. PubMed ID: 19874097
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Men who have sex with men and women in Bangalore, South India, and potential impact on the HIV epidemic.
    Phillips AE; Lowndes CM; Boily MC; Garnett GP; Gurav K; Ramesh BM; Anthony J; Moses S; Alary M
    Sex Transm Infect; 2010 Jun; 86(3):187-92. PubMed ID: 20522632
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Mobile Phone Questionnaires for Sexual Risk Data Collection Among Young Women in Soweto, South Africa.
    Dietrich JJ; Lazarus E; Andrasik M; Hornschuh S; Otwombe K; Morgan C; Isaacs AJ; Huang Y; Laher F; Kublin JG; Gray GE;
    AIDS Behav; 2018 Jul; 22(7):2312-2321. PubMed ID: 29594618
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Feasibility and acceptability of cell phone diaries to measure HIV risk behavior among female sex workers.
    Roth AM; Hensel DJ; Fortenberry JD; Garfein RS; Gunn JK; Wiehe SE
    AIDS Behav; 2014 Dec; 18(12):2314-24. PubMed ID: 24643312
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Combining the randomized response technique and the network scale-up method to estimate the female sex worker population size: an exploratory study.
    Jing L; Lu Q; Cui Y; Yu H; Wang T
    Public Health; 2018 Jul; 160():81-86. PubMed ID: 29783041
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Users of free condoms in India fell by almost 50% in six years.
    Travasso C
    BMJ; 2013 Nov; 347():f6636. PubMed ID: 24188904
    [No Abstract]   [Full Text] [Related]  

  • 32. Does the Stockholm Syndrome affect female sex workers? The case for a "Sonagachi Syndrome".
    Karan A; Hansen N
    BMC Int Health Hum Rights; 2018 Feb; 18(1):10. PubMed ID: 29409491
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Application of a randomized response technique for the sensitive question survey in female sex workers in Xichang, China.
    Chen K; Mao Z; Jin Z; Gao G; Bian C
    Ann Palliat Med; 2021 Jan; 10(1):392-403. PubMed ID: 33474945
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Telephone survey as a method of data collection in South India.
    Thulasingam M; Cheriyath PK
    Indian J Community Med; 2008 Oct; 33(4):268-70. PubMed ID: 19876505
    [No Abstract]   [Full Text] [Related]  

  • 35. Prevention of sexually transmitted infections using mobile devices and ubiquitous computing.
    Besoain F; Perez-Navarro A; Caylà JA; Aviñó CJ; de Olalla PG
    Int J Health Geogr; 2015 May; 14():18. PubMed ID: 25935151
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Sex on demand: geosocial networking phone apps and risk of sexually transmitted infections among a cross-sectional sample of men who have sex with men in Los Angeles County.
    Beymer MR; Weiss RE; Bolan RK; Rudy ET; Bourque LB; Rodriguez JP; Morisky DE
    Sex Transm Infect; 2014 Nov; 90(7):567-72. PubMed ID: 24926041
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Motivating men who have sex with men to get tested for HIV through the internet and mobile phones: a qualitative study.
    Blas MM; Menacho LA; Alva IE; Cabello R; Orellana ER
    PLoS One; 2013; 8(1):e54012. PubMed ID: 23320116
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Systematic review of mobile health behavioural interventions to improve uptake of HIV testing for vulnerable and key populations.
    Conserve DF; Jennings L; Aguiar C; Shin G; Handler L; Maman S
    J Telemed Telecare; 2017 Feb; 23(2):347-359. PubMed ID: 27056905
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Online Outreach Services Among Men Who Use the Internet to Seek Sex With Other Men (MISM) in Ontario, Canada: An Online Survey.
    Brennan DJ; Lachowsky NJ; Georgievski G; Rosser BR; MacLachlan D; Murray J;
    J Med Internet Res; 2015 Dec; 17(12):e277. PubMed ID: 26681440
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Short Text Messages to Motivate HIV Testing Among Men Who have Sex with Men: A Qualitative Study in Lima, Peru.
    Menacho LA; Blas MM; Alva IE; Roberto Orellana E
    Open AIDS J; 2013; 7():1-6. PubMed ID: 23802032
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.