
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 3
May-June 2025
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Role of Mathematical Modeling to Predict aids in fection in Working Women Migrants
Author(s) | Dr. Uma Shankar Shukla |
---|---|
Country | India |
Abstract | Mathematical modeling is a valuable tool for understanding the role of AIDS infection in female migrants in India and for developing effective prevention and treatment strategies. By incorporating migration patterns, risk behaviors, and intervention strategies, these models can help policymakers to make informed decisions and improve the health of vulnerable populations. Mathematical and Statistical models are serving as tools for study epidemiology of Human Immunodeficiency Virus (HIV) if they are constructed properly. The present paper, deals with AIDS-related mathematical biology for urban female population in India. An applicable dynamical model is also explained. Model predictions are subject to uncertainty, and it is importantto interpretthemwithcaution. Inconclusion, the proposed model is tested set of data on the number of young unmarried female migrants. Workas less than30 years ofage having number ofclosed boyfriends. Theyare clearly attached with their boyfriends. Proposed model is fitted satisfactorily. Estimated values indicates an increasing the living and working conditions and they need adequate support should be provided to single young migrants women that might be make vulnerable to STDs and HIV/AIDS infection. The obtained accurate analytical results can be employed torunsensitivityanalysis ofthe parametersofthe governing systemto better understand the spread mechanism of the disease and suggest effective preventionmeasures. |
Keywords | Mathematicalmodeling,STDs,HIV/AIDS,HIV dynamics. |
Field | Mathematics |
Published In | Volume 7, Issue 3, May-June 2025 |
Published On | 2025-05-21 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i03.45046 |
Short DOI | https://doi.org/g9mh64 |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
10.36948/ijfmr
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