Prevalence of HIV in Kazakhstan 2010-2020 and Its Forecasting for the Next 10 Years.
Kamilla MussinaShirali KadyrovArdak KashkynbayevSauran YerdessovGulnur ZhakhinaYesbolat SakkoAmin ZollanvariAbduzhappar E GaipovPublished in: HIV/AIDS (Auckland, N.Z.) (2023)
This study revealed that ARIMA (1,2,0) predicts a linear increasing trend, while SI forecasts a nonlinear increase with a higher prevalence of HIV. Therefore, it is recommended for healthcare providers and policymakers use this model to calculate the cost required for the regional allocation of healthcare resources. Moreover, this model can be used for planning effective healthcare treatments.