Literature DB >> 12051976

Markers of disease evolution: the case of tuberculosis.

Juan P Aparicio1, AngelL F Capurro, Carlos Castillo-Chavez.   

Abstract

Abrupt changes in environmental conditions--broadly understood to include demographic and social dynamics--can seriously impact the local or global disease dynamics of a population. These changes in the evolutionary landscape, which may occur over relatively short time-scales, are very likely to play a critical role in disease evolution. The potential impact of demographic, social and epidemiological shifts on the evolution of tuberculosis epidemics in the United States over the past century and a half is the main subject of this article. Evidence is provided to support the hypothesis that the observed substantial decreases in the incidence of active tuberculosis are the result of abrupt reductions in the rates of disease progression. Copyright 2002 Elsevier Science Ltd. All rights reserved.

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Year:  2002        PMID: 12051976     DOI: 10.1006/jtbi.2001.2489

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  8 in total

1.  Risks for tuberculosis in Kazakhstan: implications for prevention.

Authors:  A Davis; A Terlikbayeva; A Aifah; S Hermosilla; Z Zhumadilov; E Berikova; S Rakhimova; S Primbetova; M Darisheva; N Schluger; N El-Bassel
Journal:  Int J Tuberc Lung Dis       Date:  2017-01-01       Impact factor: 2.373

Review 2.  Epidemiological models of Mycobacterium tuberculosis complex infections.

Authors:  Cagri Ozcaglar; Amina Shabbeer; Scott L Vandenberg; Bülent Yener; Kristin P Bennett
Journal:  Math Biosci       Date:  2012-03-01       Impact factor: 2.144

3.  A model of tuberculosis transmission and intervention strategies in an urban residential area.

Authors:  Elsje Pienaar; Aaron M Fluitt; Scott E Whitney; Alison G Freifeld; Hendrik J Viljoen
Journal:  Comput Biol Chem       Date:  2010-03-09       Impact factor: 2.877

4.  Per capita incidence of sexually transmitted infections increases systematically with urban population size: a cross-sectional study.

Authors:  Oscar Patterson-Lomba; Edward Goldstein; Andrés Gómez-Liévano; Carlos Castillo-Chavez; Sherry Towers
Journal:  Sex Transm Infect       Date:  2015-04-28       Impact factor: 3.519

5.  Parameter identification in a tuberculosis model for Cameroon.

Authors:  Dany Pascal Moualeu-Ngangue; Susanna Röblitz; Rainald Ehrig; Peter Deuflhard
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

6.  Association between socioeconomic position and tuberculosis in a large population-based study in rural Malawi.

Authors:  Anna Odone; Amelia C Crampin; Venance Mwinuka; Simon Malema; J Nimrod Mwaungulu; Lumbani Munthali; Judith R Glynn
Journal:  PLoS One       Date:  2013-10-21       Impact factor: 3.240

7.  The prevention and control of tuberculosis: an analysis based on a tuberculosis dynamic model derived from the cases of Americans.

Authors:  Yan Wu; Meng Huang; Ximei Wang; Yong Li; Lei Jiang; Yuan Yuan
Journal:  BMC Public Health       Date:  2020-07-28       Impact factor: 3.295

8.  Info-gap management of public health Policy for TB with HIV-prevalence and epidemiological uncertainty.

Authors:  Yakov Ben-Haim; Clifford C Dacso; Nicola M Zetola
Journal:  BMC Public Health       Date:  2012-12-19       Impact factor: 3.295

  8 in total

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