Statistical Modeling of HIV Transmission

  • D. M. Basavarajaiah
  • Bhamidipati Narasimha Murthy


Epidemic modelling is an exciting, active, and rapidly expanding field. Models based on transmission mechanisms of AIDS virus can help medical and scientific community to understand and anticipate its spread. Since AIDS is expected to place enormous demand on healthcare facilities, there is a pressing need to develop flexible prediction models. These are an integral part of long-range scientific research and are equivalent to the hypotheses to be tested (Basavarajaiah et al. 2013). Modelling that has been in use for a long time (Abdallah SW, Estomih S, Massawel S, Oluwole DM: J Appl Math 2(3):77–89. https://d10.59/10.5923/, 2012; Balcha TT, Lecerof SS, Jeppson AR: J Int Assoc Phys AIDS Care 10(Suppl 3):187–192, 2011; Bashiru KA, Fasoranbaku AO, Olukayode A, Ojurongbe TA: Seria Informatică 15(Suppl 2):89–96, 2017; Coovadia H et al: N Engl J Med 351(Suppl 3):289–292, 2004) has extensively reviewed epidemic models that discuss the choke among alternatives. Intervention strategies play a crucial role in quantifying uncertainties of “AIDS” projection. In developing a model, one creates a logical structure to organize existing information into a framework and suggest what new data that must be collected. Thus, models provide insight into the systems even when data are lacking. Hence statistical models are essential for understanding AIDS and the relation between social and biological mechanisms that influence its spread.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • D. M. Basavarajaiah
    • 1
  • Bhamidipati Narasimha Murthy
    • 2
  1. 1.Department of Statistics and Computer ScienceVeterinary Animal and Fisheries Sciences UniversityBengaluruIndia
  2. 2.Department of BiostatisticsNational Institute of Epidemiology, ICMRChennaiIndia

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