Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar
Global Stability Of Infection-free State And Endemic Infection State Of A Modified HIV Infection Model | 17911
ISSN: 2161-1165

Epidemiology: Open Access
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Google Scholar citation report
Citations : 2284

Epidemiology: Open Access received 2284 citations as per Google Scholar report

Epidemiology: Open Access peer review process verified at publons
Indexed In
  • Index Copernicus
  • Google Scholar
  • Sherpa Romeo
  • Genamics JournalSeek
  • SafetyLit
  • Access to Global Online Research in Agriculture (AGORA)
  • Centre for Agriculture and Biosciences International (CABI)
  • RefSeek
  • Hamdard University
  • OCLC- WorldCat
  • CABI full text
  • Cab direct
  • Publons
  • Geneva Foundation for Medical Education and Research
  • Euro Pub
Share This Page

Global stability of infection-free state and endemic infection state of a modified HIV infection model

2nd International Conference on Epidemiology & Evolutionary Genetics

Qilin Sun, Lequan Min and Yang Kuang

Posters: Epidemiol

DOI: 10.4172/2161-1165.S1.008

T his study proposes a modified human immunodeficiency virus (HIV) infection differential equation model. This model has an infection-free equilibrium point and an endemic infection equilibrium point. Lyapunov functions and LaSalle?s invariance principle were used to show if the basic reproductive number R 0 of the model is less than one, the infection-free equilibrium point is globally attractive, otherwise the endemic infection equilibrium point is globally attractive. The R 0 is independent on the total number of the infected individual?s CD4 + T cells. Hence, our model is more reasonable than the un- modified one. Using the clinical data selected from the HIV drug resistance database of Stanford University we have evaluated the parameters of the modified HIV model for simulating the evolution dynamics in two different patient groups undergoing anti-HIV treatment. The dynamic simulation results have shown that the first 4 and 8 week treatments made the R 0 ?s of the two group patients to be less than one, respectively. The analysis carried in the weeks following showed that the drug resistance made the two group patients? R' 0 s becomes larger than one. The result explains why the mean value calculated in the two group patients CD4 + T cell counts raised and HIV RNA levels declined in the first two periods, but contrary in the following weeks. On accounting the theoretical standpoint and the reports derived on three HIV infected individuals, this study proposes a postulation that some HIV infected people can recover automatically without treatment. Acknowledgements: This research is jointly supported by NSF of US (Nos. DMS-0436341 and DMS-0920744), and the Doctoral Research Funds of USTB (No. 06108126).
Qilin Sun is a PhD candidate at University of Science and Technology Beijing (USTB). His research interests are modeling and simulating the dynamics of anti-HIV infection therapies.