AIDS Epidemiology: A Quantitative Approach (Monographs in by Ron Brookmeyer (Author), Mitchell H. Gail (Author) PDF

By Ron Brookmeyer (Author), Mitchell H. Gail (Author)

ISBN-10: 0195076419

ISBN-13: 9780195076417

ISBN-10: 1423763548

ISBN-13: 9781423763543

AIDS has seemed in additional than a hundred thirty international locations, and over 100,000 situations of AIDS were mentioned within the U.S. on my own. an increasing number of, the general public could be counting on statisticians to supply solutions in regards to the destiny process this epidemic. This finished paintings confronts the issues which are specific to AIDS examine and unites them less than a unmarried conceptual framework. It specializes in tools for the layout and research of epidemiologic reviews, the average heritage of AIDS and the transmission of HIV, tools for monitoring and projecting the process the epidemic, and statistical matters in healing trials. a few of the tools of tracking and forecasting this affliction obtain finished remedy. those equipment contain back-calculation, which the authors constructed; interpretation of survey info on HIV incidence; mathematical types for HIV transmission; and techniques that mix kinds of epidemiological information. a lot of this fabric -- equivalent to a dialogue of equipment for assessing protection of the blood provide, an review of survey ways, and techniques to venture pediatric AIDS occurrence -- isn't to be had in the other paintings.

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Extra info for AIDS Epidemiology: A Quantitative Approach (Monographs in Epidemiology and Biostatistics ; V. 22)

Example text

In the latter instance, ro(t) is estimated as the odds of being in population i = 2 among a random sample of infected subjects (the "cases") divided by the odds of being in population i = 2 among a random sample of uninfected subjects at time t. This design is called a prevalent case-control design. For values of t small enough that H i (t) is small, the relative odds is approximately equal to H2(t}IHl(t), which is nearly equal to the relative risk rr(t). Thus, prevalent case-control studies can yield estimates of the relative risk provided the cumulative incidence of infection is small.

We consider the probability that 7 of the 11 AIDS patients in the interview data in Los Angeles County should have had sex with 1 of the 18 other AIDS patients in southern California. 044. From the binomial distribution, the chance that 7 or more of these 11 patients would have contacted another AIDS patient is only However, the mere existence of an unusual cluster of cases is not proof of a sexually transmitted infectious agent. Auerbach, Darrow, Jaffe, and Curran (1984) compared AIDS cases who had had sex with other AIDS cases ("linked" AIDS case) to "unlinked" AIDS cases.

3) is 16 AIDS Epidemiology: A Quantitative Approach not accurate. 3). " It turns out that back-calculation yields useful information on the infection curve up to perhaps five years before the end of the AIDS incidence series but that back-calculated estimates of the infection curve closer to the end of the AIDS incidence series are very uncertain. 3). Provision must be made for secular trends in the incubation distribution that arose from changes in the definition of AIDS and from the use of treatments capable of retarding the onset of AIDS, particularly after 1987.

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AIDS Epidemiology: A Quantitative Approach (Monographs in Epidemiology and Biostatistics ; V. 22) by Ron Brookmeyer (Author), Mitchell H. Gail (Author)

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