{"title":"Modeling and sensitivity analysis of cholera dynamics under fuzzy imprecision","authors":"Sara Riaz , Asghar Ali , Muhammad Munir","doi":"10.1016/j.meegid.2025.105821","DOIUrl":null,"url":null,"abstract":"<div><div>This article presents a sensitivity analysis of the cholera transmission model, in which all parameters related to disease dynamics are considered as fuzzy numbers. Classical and system sensitivities of this fuzzy system have been analyzed to provide a real world approximation to cholera outbreaks. Graphical results indicate that the susceptible population is most sensitive to the new recruitment and disease-induced mortality rates of the infected and treated populations, whereas the infected population is found to be more sensitive to immune loss and disease transmission rate. The treated individuals have proven sensitivity towards the contact rate, while the recovered ones are more sensitive to the recovery and disease-induced death rates. The cumulative effect of these sensitivities with respect to induced fuzzy parameters on the model output has been reflected in the system sensitivities. As a consequence of this analysis, treatment and the disease transmission rate are identified as the most influential parameters for this newly structured model.</div></div>","PeriodicalId":54986,"journal":{"name":"Infection Genetics and Evolution","volume":"135 ","pages":"Article 105821"},"PeriodicalIF":2.6000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection Genetics and Evolution","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1567134825001108","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
This article presents a sensitivity analysis of the cholera transmission model, in which all parameters related to disease dynamics are considered as fuzzy numbers. Classical and system sensitivities of this fuzzy system have been analyzed to provide a real world approximation to cholera outbreaks. Graphical results indicate that the susceptible population is most sensitive to the new recruitment and disease-induced mortality rates of the infected and treated populations, whereas the infected population is found to be more sensitive to immune loss and disease transmission rate. The treated individuals have proven sensitivity towards the contact rate, while the recovered ones are more sensitive to the recovery and disease-induced death rates. The cumulative effect of these sensitivities with respect to induced fuzzy parameters on the model output has been reflected in the system sensitivities. As a consequence of this analysis, treatment and the disease transmission rate are identified as the most influential parameters for this newly structured model.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .