Connection

Michael Sweat to Cross-Sectional Studies

This is a "connection" page, showing publications Michael Sweat has written about Cross-Sectional Studies.
Connection Strength

0.599
  1. Do Sexual Partners Talk to Each Other About HIV? Exploring Factors Associated with HIV-Related Partner Communication Among Men and Women in Tanzania. AIDS Behav. 2020 Mar; 24(3):891-902.
    View in: PubMed
    Score: 0.107
  2. The gendered experience of HIV testing: factors associated with prior testing differ among men and women in rural Tanzania. Int J STD AIDS. 2019 08; 30(9):843-852.
    View in: PubMed
    Score: 0.101
  3. HIV testing among adolescents in Ndola, Zambia: how individual, relational, and environmental factors relate to demand. AIDS Educ Prev. 2009 Aug; 21(4):314-24.
    View in: PubMed
    Score: 0.051
  4. Micro-credit, women's groups, control of own money: HIV-related negotiation among partnered Dominican women. AIDS Behav. 2008 May; 12(3):396-403.
    View in: PubMed
    Score: 0.044
  5. Environmental-structural interventions to reduce HIV/STI risk among female sex workers in the Dominican Republic. Am J Public Health. 2006 Jan; 96(1):120-5.
    View in: PubMed
    Score: 0.040
  6. High rates and positive outcomes of HIV-serostatus disclosure to sexual partners: reasons for cautious optimism from a voluntary counseling and testing clinic in Dar es Salaam, Tanzania. AIDS Behav. 2003 Dec; 7(4):373-82.
    View in: PubMed
    Score: 0.035
  7. Environmental-structural factors significantly associated with consistent condom use among female sex workers in the Dominican Republic. AIDS. 2003 Feb 14; 17(3):415-23.
    View in: PubMed
    Score: 0.033
  8. Age-Related Differences in Socio-demographic and Behavioral Determinants of HIV Testing and Counseling in HPTN 043/NIMH Project Accept. AIDS Behav. 2018 02; 22(2):569-579.
    View in: PubMed
    Score: 0.023
  9. Antiretroviral Drug Use in a Cross-Sectional Population Survey in Africa: NIMH Project Accept (HPTN 043). J Acquir Immune Defic Syndr. 2017 02 01; 74(2):158-165.
    View in: PubMed
    Score: 0.022
  10. HIV/AIDS knowledge among the U.S. population. AIDS Educ Prev. 1995 Aug; 7(4):355-72.
    View in: PubMed
    Score: 0.019
  11. Development of methods for cross-sectional HIV incidence estimation in a large, community randomized trial. PLoS One. 2013; 8(11):e78818.
    View in: PubMed
    Score: 0.017
  12. Estimation of HIV incidence in a large, community-based, randomized clinical trial: NIMH project accept (HIV Prevention Trials Network 043). PLoS One. 2013; 8(7):e68349.
    View in: PubMed
    Score: 0.017
  13. Discussing childbearing with HIV-infected women of reproductive age in clinical care: a comparison of Brazil and the US. AIDS Behav. 2012 Jan; 16(1):99-107.
    View in: PubMed
    Score: 0.015
  14. Human rights abuses and suicidal ideation among male injecting drug users in Delhi, India. Int J Drug Policy. 2011 Mar; 22(2):161-6.
    View in: PubMed
    Score: 0.014
  15. Understanding high fertility desires and intentions among a sample of urban women living with HIV in the United States. AIDS Behav. 2010 Oct; 14(5):1106-14.
    View in: PubMed
    Score: 0.014
  16. Do HIV-infected women want to discuss reproductive plans with providers, and are those conversations occurring? AIDS Patient Care STDS. 2010 May; 24(5):317-23.
    View in: PubMed
    Score: 0.013
  17. The role of relationship intimacy in consistent condom use among female sex workers and their regular paying partners in the Dominican Republic. AIDS Behav. 2007 May; 11(3):463-70.
    View in: PubMed
    Score: 0.011
  18. Who infects whom? HIV-1 concordance and discordance among migrant and non-migrant couples in South Africa. AIDS. 2003 Oct 17; 17(15):2245-52.
    View in: PubMed
    Score: 0.009
  19. The impact of migration on HIV-1 transmission in South Africa: a study of migrant and nonmigrant men and their partners. Sex Transm Dis. 2003 Feb; 30(2):149-56.
    View in: PubMed
    Score: 0.008
  20. Depression and use of mental health services among HIV-infected men. AIDS Care. 1996 Aug; 8(4):433-42.
    View in: PubMed
    Score: 0.005
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.