Using a decision support systems computer simulation model to examine HIV and tuberculosis: the Russian Federation.
The aim of this paper is to describe the development and use of a computer simulation model that can be used as a Decision Support System (DSS) to tackle the critical public health issues of HIV and HIV-related tuberculosis in the Russian Federation. This country has recently witnessed an explosion of HIV infections and a worrying spread of the Multi-Drug Resistant form of Tuberculosis (MDRTB). The conclusions drawn are that a high population coverage with Highly Active Anti-Retroviral Treatment (HAART) (75% or higher), allied with high MDRTB cure rates, reduces cumulative deaths by 60%, with limited impact below this level. This research offers a simulation model that can be applied as a DSS by public health officials to inform policy making. By doing so, ways of controlling the spread of HIV and MDRTB and reduce mortality from these serious public health threats is provided.
Lebcir
Reda M
RM
Business School, University of Hertfordshire, Hatfield, Herts, AL 10 9AB, UK. M.R.Lebcir@Herts.ac.uk
Choudrie
Jyoti
J
Atun
Rifat A
RA
Coker
Richard J
RJ
D017088:AIDS-Related Opportunistic Infections / Q000188:drug therapy* / Q000401:mortality / Q000635:transmission; D023241:Antiretroviral Therapy, Highly Active / Q000706:statistics & numerical data*; D000995:Antitubercular Agents / Q000008:administration & dosage / Q000627:therapeutic use*; D003198:Computer Simulation; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D023801:Directly Observed Therapy; D006801:Humans; D008954:Models, Biological; D012426:Russia / Q000453:epidemiology; D018088:Tuberculosis, Multidrug-Resistant / Q000188:drug therapy / Q000401:mortality / Q000635:transmission; D014397:Tuberculosis, Pulmonary / Q000188:drug therapy* / Q000401:mortality / Q000635:transmission
D000995:Antitubercular Agents