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A mathematical modeling study of the HIV epidemics at two rural townships in the Liangshan Prefecture of the Sichuan Province of China 被引量:2

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摘要 Background:As a response to a severe HIV epidemic in the Liangshan Prefecture,one of the worst in China,population based HIV interventions,including two population-wide HIV screening,have been carried out since 2005 at two townships in a remote mountainous region of Liangshan.The objective of our mathematical modeling study is to assess the temporal dynamics of the HIV epidemic in the two townships based on the data collected in the study area during the period 2005e2010.Methods:A mathematical model was set up to describe the population dynamics of HIV transmission in study area.The model was calibrated by fitting it to the HIV testing and treatment data from 2005 to 2008.Validation of the model was done by comparing its predicted value of HIV prevalence in 2010 to the prevalence data obtained in the 2010 population wide HIV testing.The validated model was used to produce estimation of HIV incidence,prevalence and death.Results:Our model estimations show that population-based HIV interventions have significantly slowed down the rise of the HIV epidemic in the two townships.Over the five-year period from 2005 to 2010,the year-over-year rate of increase in HIV incidence,prevalence,and death has declined by 91.5%,28.7%,and 52.3%,respectively.Conclusion:Mathematical models,when integrated with epidemiological and surveillance data,can be an effective tool for predicting the temporal dynamics of HIV and assessing the impacts of HIV interventions.
出处 《Infectious Disease Modelling》 2016年第1期3-10,共8页 传染病建模(英文)
基金 This study was supported by grants from Natural Sciences and Engineering Research Council of Canada(NSERC)(grant no.RGPIN 238901-2010) Canada Foundation for Innovation(CFI)(project#7112),the International Development Research Center of Canada(IDRC)(grant#104519-010) University of Alberta China Opportunity Fund,Ministry of Science and Technology of the People’s Republic of China(2009ZX10004-905,2011ZX10001-002,2013ZX10004-908,2012ZX10001-002) a Chinese State Key Laboratory of Infectious Disease Development Grant.
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