Literature DB >> 30291857

A simple SI-type model for HIV/AIDS with media and self-imposed psychological fear.

Indrajit Ghosh1, Pankaj Kumar Tiwari2, Sudip Samanta3, Ibrahim M Elmojtaba4, Nasser Al-Salti4, Joydev Chattopadhyay5.   

Abstract

Infectious diseases can have a large impact on society, as they cause morbidity, mortality, unemployment, inequality and other adverse effects. Mathematical models are invaluable tools in understanding and describing disease dynamics with preventive measures for controlling the disease. The roles of media coverage and behavioral changes due to externally imposed factors on the disease dynamics are well studied. However, the effect of self-imposed psychological fear on the disease transmission has not been considered in extant research, and this gap is addressed in the present investigation. We propose a simple SI-type model for HIV/AIDS to assess the effects of media and self-imposed psychological fear on the disease dynamics. Local and global dynamics of the system are studied. Global sensitivity analysis is performed to identify the most influential parameters that have significant impact on the basic reproduction number. After calibrating our model using HIV case data-sets for Uganda and Tanzania, we calculate the basic reproduction numbers in the study period using the estimated parameters. Furthermore, a comparison of the effects of awareness and self-imposed psychological fear effects reveals that awareness is more effective in eliminating the burden of HIV infection.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Awareness; Epidemic model; Global sensitivity analysis; HIV/AIDS; Parameter estimation; Self-imposed psychological fear; Stability analysis

Mesh:

Year:  2018        PMID: 30291857     DOI: 10.1016/j.mbs.2018.09.014

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  1 in total

1.  Long-Term Forecast of HIV/AIDS Epidemic in China with Fear Effect and 90-90-90 Strategies.

Authors:  Ling Xue; Kai Zhang; Hao Wang
Journal:  Bull Math Biol       Date:  2022-10-05       Impact factor: 3.871

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.