OBJECTIVES: To reconstruct the past HIV incidence and prevalence in Thailand from 1980 to 2008 and predict the country's AIDS incidence from 2009 to 2011. METHODS: Nonparametric backcalculation was adopted utilizing 100 quarterly observed new AIDS counts excluding pediatric cases. The accuracy of data was enhanced through a series of data adjustments using the weight method to account for several surveillance reporting issues. The mixture of time-dependent distributions allowed the effects of age at seroconversion and antiretroviral therapy to be incorporated simultaneously. Sensitivity analyses were conducted to assess model variations that were subject to major uncertainties. Future AIDS incidence was projected for various predetermined HIV incidence patterns. RESULTS: HIV incidence in Thailand reached its peak in 1992 with approximately 115,000 cases. A steep decline thereafter discontinued in 1997 and was followed by another strike of 42,000 cases in 1999. The second surge, which happened concurrently with the major economic crisis, brought on 60,000 new infections. As of December 2008, more than 1 million individuals had been infected and around 430,000 adults were living with HIV corresponding to a prevalence rate of 1.2%. The incidence rate had become less than 0.1% since 2002. The backcalculated estimates were dominated by postulated median AIDS progression time and adjustments to surveillance data. CONCLUSION: Our analysis indicated that, thus far, the 1990s was the most severe era of HIV/AIDS epidemic in Thailand with two HIV incidence peaks. A drop in new infections led to a decrease in recent AIDS incidence, and this tendency is likely to remain unchanged until 2011, if not further.
OBJECTIVES: To reconstruct the past HIV incidence and prevalence in Thailand from 1980 to 2008 and predict the country's AIDS incidence from 2009 to 2011. METHODS: Nonparametric backcalculation was adopted utilizing 100 quarterly observed new AIDS counts excluding pediatric cases. The accuracy of data was enhanced through a series of data adjustments using the weight method to account for several surveillance reporting issues. The mixture of time-dependent distributions allowed the effects of age at seroconversion and antiretroviral therapy to be incorporated simultaneously. Sensitivity analyses were conducted to assess model variations that were subject to major uncertainties. Future AIDS incidence was projected for various predetermined HIV incidence patterns. RESULTS: HIV incidence in Thailand reached its peak in 1992 with approximately 115,000 cases. A steep decline thereafter discontinued in 1997 and was followed by another strike of 42,000 cases in 1999. The second surge, which happened concurrently with the major economic crisis, brought on 60,000 new infections. As of December 2008, more than 1 million individuals had been infected and around 430,000 adults were living with HIV corresponding to a prevalence rate of 1.2%. The incidence rate had become less than 0.1% since 2002. The backcalculated estimates were dominated by postulated median AIDS progression time and adjustments to surveillance data. CONCLUSION: Our analysis indicated that, thus far, the 1990s was the most severe era of HIV/AIDS epidemic in Thailand with two HIV incidence peaks. A drop in new infections led to a decrease in recent AIDS incidence, and this tendency is likely to remain unchanged until 2011, if not further.
Authors: Marcos Pérez-Losada; David V Jobes; Faruk Sinangil; Keith A Crandall; Miguel Arenas; David Posada; Phillip W Berman Journal: PLoS One Date: 2011-03-10 Impact factor: 3.240
Authors: Punnee Pitisuttithum; Supachai Rerks-Ngarm; Valai Bussaratid; Jittima Dhitavat; Wirach Maekanantawat; Swangjai Pungpak; Pravan Suntharasamai; Sirivan Vanijanonta; Sorachai Nitayapan; Jaranit Kaewkungwal; Michael Benenson; Patricia Morgan; Robert J O'Connell; Jeffrey Berenberg; Sanjay Gurunathan; Donald P Francis; Robert Paris; Joseph Chiu; Donald Stablein; Nelson L Michael; Jean-Louis Excler; Merlin L Robb; Jerome H Kim Journal: PLoS One Date: 2011-12-21 Impact factor: 3.240
Authors: Simnikiwe H Mayaphi; Desmond J Martin; Steve A S Olorunju; Brian G Williams; Thomas C Quinn; Anton C Stoltz Journal: PLoS One Date: 2018-02-02 Impact factor: 3.240