TUBERCULOSIS INCIDENCE AND TRANSMISSION IN THE AIDS ERA

Project Details

Description

DESCRIPTION (adapted from the Abstract): The proposed project is a five-
year study to analyze New Jersey (NJ) surveillance data on tuberculosis
(TB) and AIDS, given that the results will generalize to other mixed
urban-suburban areas of the United State, to further our understanding of
the determinants of TB incidence and transmission during the AIDS era. The
first objective of the research plan is to examine the impact of local
conditions such as AIDS, foreign birth, and residential crowding on TB
rates in New Jersey. A Poisson model incorporating spatial correlation
will be used to construct estimates of local TB rates, overall, by drug
resistance pattern and by HIV status of the subjects for 1996-1998. A
spatio-temporal model of TB rates will also be constructed. The second
objective is to contribute to a better understanding of the extent to
which TV cases are due to recent transmission of the Mycobacterium
tuberculosis by: estimating the number of people who are highly
susceptible through construction of a spatial model of AIDS incidence; and
predicting the number of TB causes due to recent transmission by using a
mathematic model of the number of TB cases due to recent transmission by
using a mathematic model of the number of TB causes the develop within two
years of infection. Model inputs include the results of the spatial models
of TB and AIDS, clinical and epidemiological features of TB, and
demographic and vital statistics for New Jersey. The Latin Hypercue
Sampling technique will be used to explore the sensitivity of the results
to model inputs. The third objective will be used to explore the
sensitivity of the results to model inputs. The third objective will be to
validate the theory that clustered M. tuberculosis strains as determined
by restriction fragment length polymorphism types are indicative of
recently transmitted infection. This will be achieved by comparing
mathematical model based prediction of the number of cases due to recent
infection to predictions based on cluster analysis.
StatusFinished
Effective start/end date8/15/988/14/99

Funding

  • National Institute of Allergy and Infectious Diseases

ASJC

  • Infectious Diseases
  • Pulmonary and Respiratory Medicine

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.