Center for Computational Epidemiology, Bioinformatics and Risk Analysis (CCEBRA), 107-Williams-Bowie Hall, College of Veterinary Medicine, Nursing and Allied Health,
Tuskegee AL 36088
Tanzania
Editorial
The Role of Computational Epidemiology and Risk Analysis in the Fight Against HIV/AIDS
Author(s): Berhanu Tameru, David Nganwa, Asseged Bogale, Vinaida Robnett and Tsegaye HabtemariamBerhanu Tameru, David Nganwa, Asseged Bogale, Vinaida Robnett and Tsegaye Habtemariam
Substantial progress in the understanding of HIV and CD4 cell dynamics using computational models undergirded by sound epidemiologic and mathematical principles has been achieved. The early stages of the applications of these models were based on relatively simple mathematical models that considered the body as a one-compartment system. In spite of these models attractiveness due to the experimental and/or mathematical standpoints, the underlying simplification neglected a lot of important factors affecting the population dynamics both on macro (human) and micro (cellular) population levels. This simplification also affected the kinetics linked to the immunology, infection and chemotherapy dynamics throughout the host. Epidemiologic research involves the study of a complex set of h.. Read More»
DOI:
10.4172/2155-6113.1000e107
Journal of AIDS & Clinical Research received 5061 citations as per Google Scholar report