Fuzzy-fractional modeling of cholera disease using real outbreak data of angola in caputo-TFN framework.
Uložené v:
| Názov: | Fuzzy-fractional modeling of cholera disease using real outbreak data of angola in caputo-TFN framework. |
|---|---|
| Autori: | Fatima Q; Department of Sciences and Humanities, National University of Computer and Emerging Sciences Lahore Campus, Lahore, Pakistan., Qayyum M; Department of Sciences and Humanities, National University of Computer and Emerging Sciences Lahore Campus, Lahore, Pakistan., Khan O; Department of Computer Science, National University of Computer and Emerging Sciences Peshawar Campus, Peshawar, Pakistan., Al Zubaidi A; Department of Mathematics, College of Science, King Khalid University, Abha, 61413, Saudi Arabia., Saeed ST; Department of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan., Younis J; Department of Mathematics, Aden University, Aden, Yemen. jihadalsaqqaf@gmail.com. |
| Zdroj: | Scientific reports [Sci Rep] 2025 Dec 01; Vol. 15 (1), pp. 43036. Date of Electronic Publication: 2025 Dec 01. |
| Spôsob vydávania: | Journal Article |
| Jazyk: | English |
| Informácie o časopise: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : Nature Publishing Group, copyright 2011- |
| Výrazy zo slovníka MeSH: | Cholera*/epidemiology , Disease Outbreaks* , Fuzzy Logic*, Angola/epidemiology ; Humans ; Vibrio cholerae |
| Abstrakt: | Cholera is a waterborne disease that is mostly spread by taking tarnished food and water. This disease is brought on by bacteria Vibrio cholerae and causes infection in humans. The current manuscript proposes a fuzzy-fractional SEIHRD modeling framework for cholera disease outbreak in Angola using epidemiological data taken from World Health Organization. The Caputo fractional derivatives are used to capture the memory effects, while involved parameters are fuzzified using triangular fuzzy numbers for incorporating uncertainties involved in real-world data. The stability of the proposed model is examined to look at the circumstances in persistence and eradication of disease. For finding important factors influencing the dynamics of cholera transmission, sensitivity analysis is also carried out in this study. The effect of fractional and fuzzy parameters on the proposed model is analyzed via contour diagrams. The hybrid of fractional and fuzzy calculus yields a more realistic depiction of cholera dynamics, as depicted in numerical simulations. The analysis provides valuable results for planning public health initiatives for predicting and controlling cholera outbreaks. (© 2025. The Author(s).) |
| References: | N Engl J Med. 2014 Jan 23;370(4):334-40. (PMID: 24401020) Sci Rep. 2025 Mar 07;15(1):7972. (PMID: 40055387) Math Biosci Eng. 2019 Jan 15;16(2):782-812. (PMID: 30861666) Bull Math Biol. 1991;53(1-2):33-55. (PMID: 2059741) Clin Infect Dis. 2013 Apr;56(8):1123-31. (PMID: 23362293) Lancet Glob Health. 2018 Jun;6(6):e680-e690. (PMID: 29731398) Curr Top Microbiol Immunol. 2014;379:1-16. (PMID: 24368696) J Franklin Inst. 2020 Aug;357(12):8008-8034. (PMID: 34219794) Math Biosci. 2002 Nov-Dec;180:29-48. (PMID: 12387915) Sci Rep. 2024 Dec 28;14(1):30706. (PMID: 39730443) BMC Infect Dis. 2021 Dec 27;21(1):1281. (PMID: 34961483) J Biol Dyn. 2015;9 Suppl 1:90-103. (PMID: 25140600) Indian J Med Res. 2011 Feb;133:138-45. (PMID: 21415487) Microbiol Mol Biol Rev. 1998 Dec;62(4):1301-14. (PMID: 9841673) Lancet. 2004 Jan 17;363(9404):223-33. (PMID: 14738797) Lancet. 1990 Feb 3;335(8684):270-3. (PMID: 1967730) Heliyon. 2024 Jul 09;10(14):e34160. (PMID: 39669766) |
| Contributed Indexing: | Keywords: Caputo fractional derivative; Cholera Disease; Fuzzy-fractional modeling; Residual Power Series.; Triangular fuzzy number |
| Entry Date(s): | Date Created: 20251201 Date Completed: 20251203 Latest Revision: 20251206 |
| Update Code: | 20251206 |
| PubMed Central ID: | PMC12675755 |
| DOI: | 10.1038/s41598-025-25517-z |
| PMID: | 41326456 |
| Databáza: | MEDLINE |
Full Text 
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstrakt: | Cholera is a waterborne disease that is mostly spread by taking tarnished food and water. This disease is brought on by bacteria Vibrio cholerae and causes infection in humans. The current manuscript proposes a fuzzy-fractional SEIHRD modeling framework for cholera disease outbreak in Angola using epidemiological data taken from World Health Organization. The Caputo fractional derivatives are used to capture the memory effects, while involved parameters are fuzzified using triangular fuzzy numbers for incorporating uncertainties involved in real-world data. The stability of the proposed model is examined to look at the circumstances in persistence and eradication of disease. For finding important factors influencing the dynamics of cholera transmission, sensitivity analysis is also carried out in this study. The effect of fractional and fuzzy parameters on the proposed model is analyzed via contour diagrams. The hybrid of fractional and fuzzy calculus yields a more realistic depiction of cholera dynamics, as depicted in numerical simulations. The analysis provides valuable results for planning public health initiatives for predicting and controlling cholera outbreaks.<br /> (© 2025. The Author(s).) |
|---|---|
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-025-25517-z |