Download AIDS and Obstetrics and Gynaecology by Dr D. J. Jeffries (auth.), Professor Frank Sharp MD, FRCOG, PDF

By Dr D. J. Jeffries (auth.), Professor Frank Sharp MD, FRCOG, Christopher Neville Hudson FRCS, FRCOG (eds.)

AIDS consistently offers new questions for the obstetrician and gynecologist. The impact on being pregnant, the opportunity of perinatal transmission, HIV optimistic checks, and chance to employees are only some of the matters confronting clinicians and practitioners at the present time. those and different questions have been addressed through the nineteenth examine staff of the Royal collage of Obstetricians and Gynaecologists, whose findings are said here.

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World Health Organization. Glohal P;ogramme on AIDS. unpublished data. 4. Human immunodeficiency virus infection in the United States: a review of current knowledge. In: Morbidity. Mortality Weekly Report (MMWR). Volume 36. No. 5-6. supplement; 19H7. 5. Hoff R. Berardi VP. Weiblen B1. Mahoney-Trout L. Mitchell ML. Grady GF. HIV seroprevalence in childbearing women: estimation by testing newborn blood samples collected on absorbent paper. N Engl J Med 19HH; 318: 525-530. fl. mnatioll Sllpport for the AIDS slIrveillance system.

European Regional Office. Copenhagen. F. M. Anderson INTRODUCTION This paper provides a brief review of the various approaches that can be adopted in the prediction of future trends in the incidence of HIV infection and cases of AIDS. In broad terms, past work in this area falls into two categories. The first is concerned with short-term prediction of the number of new cases that are likely to be reported over the coming few years. This approach is based on statistical extrapolation from past longitudinal trends in the incidence of infection or disease in defined or aggregated risk groups.

Tranfusion recipients therefore have been at risk for only a relatively short period. The observations at present are concentrated around the left-hand end of the distribution in Figure III. In order to estimate statistics such as median time of the incubation period it is necessary to extrapolate beyond the observation time of the majority of the data. This problem will remain until more of the incubation period has been observed in the coming years. The analyses would be greatly improved if some independent estimate of the distribution could be used to "tie down" the incubation period to a particular value at a particular time.

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