Literature DB >> 23063617

Predicting the HIV/AIDS epidemic and measuring the effect of mobility in mainland China.

Yanni Xiao1, Sanyi Tang, Yicang Zhou, Robert J Smith, Jianhong Wu, Ning Wang.   

Abstract

HIV has spread widely in mainland China, but there is significant geographic variation in the severity of the epidemic. We aimed to assess the HIV/AIDS epidemic in mainland China accurately, and address the effect of population mobility on it. Markov-Chain Monte-Carlo simulations and Latin Hypercube Sampling were used to estimate the basic reproductive ratio and its sensitivity to parameter variations. We estimated a mean reproduction number of 1.708 (95% CI 1.440-1.977). Our analysis using national surveillance data indicates that HIV-positive individuals most likely move from economically developed regions to regions with more numerous HIV cases, while mobility of AIDS patients likely flows in the opposite direction, due to the current policy that AIDS patients must return to their registered residence to receive free antiretroviral therapy. Our results based on a spatially stratified population dynamical model show increasing mobility rates of HIV/AIDS cases can have a significant effect on the number of HIV/AIDS cases per province and has the potential to decrease the overall number of HIV/AIDS cases in the country. We recommend that the community-based HIV/AIDS support and care program should be implemented by some local governments (especially in epidemically severe areas) to mitigate HIV infections in China.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23063617     DOI: 10.1016/j.jtbi.2012.09.037

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


  13 in total

1.  Long-Term Forecast of HIV/AIDS Epidemic in China with Fear Effect and 90-90-90 Strategies.

Authors:  Ling Xue; Kai Zhang; Hao Wang
Journal:  Bull Math Biol       Date:  2022-10-05       Impact factor: 3.871

2.  Predicting the HIV/AIDS epidemic and measuring the effect of AIDS Conquering Project in Guangxi Zhuang Autonomous Region.

Authors:  Shizhao Ma; Yi Chen; Xiulan Lai; Guanghua Lan; Yuhua Ruan; Zhiyong Shen; Qiuying Zhu; Shuai Tang
Journal:  PLoS One       Date:  2022-07-01       Impact factor: 3.752

3.  Early HAART Initiation May Not Reduce Actual Reproduction Number and Prevalence of MSM Infection: Perspectives from Coupled within- and between-Host Modelling Studies of Chinese MSM Populations.

Authors:  Xiaodan Sun; Yanni Xiao; Sanyi Tang; Zhihang Peng; Jianhong Wu; Ning Wang
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

4.  From regional pulse vaccination to global disease eradication: insights from a mathematical model of poliomyelitis.

Authors:  Cameron J Browne; Robert J Smith; Lydia Bourouiba
Journal:  J Math Biol       Date:  2014-07-30       Impact factor: 2.164

5.  Frequent implementation of interventions may increase HIV infections among MSM in China.

Authors:  Xiaodan Sun; Yanni Xiao; Zhihang Peng; Ning Wang
Journal:  Sci Rep       Date:  2018-01-11       Impact factor: 4.379

6.  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

7.  Modelling HIV/AIDS epidemic among men who have sex with men in China.

Authors:  Xiaodan Sun; Yanni Xiao; Zhihang Peng; Ning Wang
Journal:  Biomed Res Int       Date:  2013-09-30       Impact factor: 3.411

8.  Estimated effects of projected climate change on the basic reproductive number of the Lyme disease vector Ixodes scapularis.

Authors:  Nicholas H Ogden; Milka Radojevic; Xiaotian Wu; Venkata R Duvvuri; Patrick A Leighton; Jianhong Wu
Journal:  Environ Health Perspect       Date:  2014-03-14       Impact factor: 9.031

9.  The Impact of Human Mobility on HIV Transmission in Kenya.

Authors:  Augustino Isdory; Eunice W Mureithi; David J T Sumpter
Journal:  PLoS One       Date:  2015-11-24       Impact factor: 3.240

Review 10.  Modelling microbial infection to address global health challenges.

Authors:  Meagan C Fitzpatrick; Chris T Bauch; Jeffrey P Townsend; Alison P Galvani
Journal:  Nat Microbiol       Date:  2019-09-20       Impact factor: 17.745

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