Literature DB >> 18255113

Modeling the impact of immigration on the epidemiology of tuberculosis.

Zhong-Wei Jia1, Gong-You Tang, Zhen Jin, Christopher Dye, Sake J Vlas, Xiao-Wen Li, Dan Feng, Li-Qun Fang, Wen-Juan Zhao, Wu-Chun Cao.   

Abstract

This paper presents two new theoretical frameworks to investigate the impact of immigration on the transmission dynamics of tuberculosis. For the basic model, we present new analysis on the existence and stability of equilibria. Then, we use numerical simulations of the model to illustrate the behavior of the system. We apply the model to Canadian reported data on tuberculosis and observe a good agreement between the model prediction and the data. For the extended model, which incorporated the recruitment of the latent and infectious in immigrants to the basic model, we find that the usual threshold condition does not apply and a unique equilibrium exists for all parameter values. This indicates that the disease does not disappear and becomes endemic in host areas. This finding is also supported by numerical simulations with the extended model. Our study suggests that immigrants have a considerable influence on the overall transmission dynamics behavior of tuberculosis.

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Year:  2007        PMID: 18255113     DOI: 10.1016/j.tpb.2007.12.007

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  12 in total

1.  Current and future trends in tuberculosis incidence in New York City: a dynamic modelling analysis.

Authors:  Anthony T Fojo; Natalie L Stennis; Andrew S Azman; Emily A Kendall; Sourya Shrestha; Shama D Ahuja; David W Dowdy
Journal:  Lancet Public Health       Date:  2017-07

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.  Comparing Drivers and Dynamics of Tuberculosis in California, Florida, New York, and Texas.

Authors:  Sourya Shrestha; Andrew N Hill; Suzanne M Marks; David W Dowdy
Journal:  Am J Respir Crit Care Med       Date:  2017-10-15       Impact factor: 21.405

4.  Backward bifurcation and hysteresis in models of recurrent tuberculosis.

Authors:  Isaac Mwangi Wangari; Lewi Stone
Journal:  PLoS One       Date:  2018-03-22       Impact factor: 3.240

5.  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

6.  Predicting U.S. tuberculosis case counts through 2020.

Authors:  Rachel S Y E L K Woodruff; Carla A Winston; Roque Miramontes
Journal:  PLoS One       Date:  2013-06-13       Impact factor: 3.240

7.  Modeling the spread of tuberculosis in semiclosed communities.

Authors:  Mauricio Herrera; Paul Bosch; Manuel Nájera; Ximena Aguilera
Journal:  Comput Math Methods Med       Date:  2013-05-09       Impact factor: 2.238

8.  Spatial analysis of tuberculosis cases in migrants and permanent residents, Beijing, 2000-2006.

Authors:  Zhong-Wei Jia; Xiao-Wei Jia; Yun-Xi Liu; Christopher Dye; Feng Chen; Chang-Sheng Chen; Wen-Yi Zhang; Xiao-Wen Li; Wu-Chun Cao; He-Liang Liu
Journal:  Emerg Infect Dis       Date:  2008-09       Impact factor: 6.883

9.  Social support and HIV/STDs infections among a probability-based sample of rural married migrant women in Shandong Province, China.

Authors:  Wenkang Ma; Dianmin Kang; Yapei Song; Chongyi Wei; Gifty Marley; Wei Ma
Journal:  BMC Public Health       Date:  2015-11-24       Impact factor: 3.295

10.  Analysis of Transmission and Control of Tuberculosis in Mainland China, 2005-2016, Based on the Age-Structure Mathematical Model.

Authors:  Yu Zhao; Mingtao Li; Sanling Yuan
Journal:  Int J Environ Res Public Health       Date:  2017-10-07       Impact factor: 3.390

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