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2.
Am J Public Health ; 85(11): 1549-52, 1995 Nov.
Article in English | MEDLINE | ID: mdl-7485670

ABSTRACT

Few data are available on human immunodeficiency virus (HIV) infection and risk behaviors among lesbians and bisexual women. A total of 498 lesbians and bisexual women was sampled from public venues in San Francisco and Berkeley, Calif, during 1993. The overall HIV seroprevalence was 1.2%. Ten percent of participants reported injecting drugs since 1978. Forty percent of the participants reported unprotected vaginal or anal sex with men during the past 3 years, including unprotected sex with gay and bisexual men and male injection drug users. The high rates of injection drug use and unsafe sexual behaviors suggest that lesbians and bisexual women frequenting public venues in San Francisco and Berkeley are at risk for HIV infection.


Subject(s)
Bisexuality , HIV Seroprevalence , Homosexuality, Female , Sexual Behavior/statistics & numerical data , Adolescent , Adult , California , Female , Humans , Male , Prevalence , Risk Factors , San Francisco/epidemiology , Substance Abuse, Intravenous/epidemiology , Surveys and Questionnaires
3.
J Acquir Immune Defic Syndr Hum Retrovirol ; 9(4): 395-400, 1995 Aug 01.
Article in English | MEDLINE | ID: mdl-7600107

ABSTRACT

Annual cross-sectional prevalence, incidence of new infection, and risks for human immunodeficiency virus type 1 (HIV-1) infection were studied in 607 women convicted of prostitution between October 1987 and December 1990 and tested for HIV under court order. Cross-sectional prevalence was stable for 4 years (23-24% positivity in 1987-1991, p = 0.6). However, the incidence of new infections (rate of seroconversion) in 264 women tested more than once increased significantly each year from 12 per 100 person-years in 1987-1988 to 19 per 100 person-years in 1991 (p < 0.03). Seroconverters were more likely to be young black women with a prior history of syphilis or gonorrhea. A new episode of syphilis or rectal gonorrhea during the follow-up period predicted HIV seroconversion in a survival analysis model. Female sex workers are at great risk of acquiring HIV infection. Although HIV prevalence in cross-sectional samples was stable, incidence was increasing. Interpretation of prevalence trends from convenience samples, such as screening programs, may be difficult because changes in incidence may not be detected.


Subject(s)
HIV Infections/epidemiology , HIV-1 , Sex Work , Adult , Female , Florida , HIV Infections/etiology , Humans , Incidence , Prevalence , Risk Factors
4.
Am J Public Health ; 78(7): 806-8, 1988 Jul.
Article in English | MEDLINE | ID: mdl-3381956

ABSTRACT

In the two-week period November 13-27, 1984, 12 patients died in a 54-bed nursing home in Florida; based on previous mortality patterns, 2.5 deaths would have been expected for the whole month. There was no similar increase in deaths in November 1984 and no comparable monthly death rate for any of 69 nursing homes in the same county from 1976-84. Comparison of the 12 deaths in November with 28 deaths that occurred during the previous 10 months and with 31 surviving patients who were continuously present in the nursing home between November 12-28, 1984 revealed that the patients who died in November were more likely to have had onset of the terminal event during the night shift, had a recent visitor, and had an admitting diagnosis of organic brain syndrome. The abrupt increase in the death rate for November 1984 was not associated with a measurable change in population characteristics, an outbreak of infectious disease, or changes in procedures or the environment. Reviews of employee schedules revealed a consistent and strong association between the duty times of two nurses and the onsets of the terminal episode and the times of patient deaths. Continuing epidemiologic surveillance of adverse outcomes in nursing homes is recommended.


Subject(s)
Mortality , Nursing Homes , Nursing Staff , Aged , Aged, 80 and over , Epidemiologic Methods , Female , Florida , Humans , Male , Seasons , Space-Time Clustering
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