Titlebook: HIV Transmission; Statistical Modellin D. M. Basavarajaiah,Bhamidipati Narasimha Murthy Book 2020 Springer Nature Singapore Pte Ltd. 2020 M

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Book 2020e than just an introduction to the topic – it also features in-depth, yet easy-to-understand, descriptions of a new mathematical/statistical HIV mother-to-child transmission model, making it a useful resource for clinicians, public health workers andpolicymakers involved in implementing HIV-prevention programmes at national /global level.?

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https://doi.org/10.5822/978-1-61091-948-7has 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

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https://doi.org/10.1007/978-1-349-13719-0on models. A major tradition modelling of HIV/AIDS epidemics was used only for back calculation or back projection techniques, etc. (Detels R, Munoz A et al: AIDS 19(17):2009–2018, 2005). These techniques were produced statistical solutions to different convolution derivatives that relate the number

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https://doi.org/10.1007/978-1-349-06829-6efic Syndr 50:276–282, 2009). This chapter discussed a brief review of several studies documenting low CD. counts in people who are experiencing such conditions explained through statistical model that can serve as a tool for understanding the temporal changes of CD. count in HIV-infected pregnant w

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https://doi.org/10.1007/978-1-349-10529-8, ethnicity and heredity have been identified as markers of risk of stroke (Baker RD et al: IMA J Manag Sci 12:1–17, 2001; Chang LC, Lander HS, Lue MT: IEEE Trans Reliab 43(Suppl 3):457–469, 1994; Chaurasia S, Chakrabarti P, Chourasia N: Int J Comput Appl 59(Suppl 3):6–10, 2012; Chevret S, Roguin H,