Computational framework to explore impact of environmental stress on epidemics

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dc.authorid0000-0002-0101-2738
dc.contributor.authorSohail, Ayesha
dc.contributor.authorIdrees, Muhammad
dc.contributor.authorSajjad, Maria
dc.contributor.authorIftikhar, Sahrish
dc.contributor.authorTunç, Sümeyye
dc.date.accessioned2021-01-08T06:49:41Z
dc.date.available2021-01-08T06:49:41Z
dc.date.issued2020
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu, Fizyoterapi Ana Bilim Dalı
dc.description.abstractIn the field of epidemiology, not only the disease and the carriers, but also the surrounding environment and the associated stresses play a vital role. Environmental stresses in a novel habitat may facilitate adaptive shifts. Organisms living under environmental stresses often experience higher mutation rates and display greater phenotypic and genetic variation. There is controversial evidence available in the literature about the impact of environmental stresses on the organisms and the resulting variation in mutation rates and the immune responses. In nature, "selection"and the high energetic costs of stress usually reduce this variation. The prior knowledge of the interaction between the stress and disease epidemics may help to control the disease spread at an early stage. A mathematical model of epidemiology, specifically focusing on the vector borne diseases, with environmental stress is reported in this paper. The model is validated with the aid of stability analysis. During this research, a set of parametric values is obtained using reverse engineering. For this purpose, the parametric evaluation is reported with the help of Monte Carlo Markov Chain (MCMC) reverse engineering. Among other factors, the environmental stresses are also responsible for different dynamics of the same disease, in different continents of the world. The proposed research methodology will help in forecasting the epidemiological problems such as the current threat of coronavirus.
dc.identifier.citationSohail, A., Idrees, M., Sajjad, M., Iftikhar, S. ve Tunç, S. (2020). Computational framework to explore impact of environmental stress on epidemics. Biomedical Engineering - Applications, Basis and Communications, 32(6). https://dx.doi.org/10.4015/S1016237220500477
dc.identifier.doi10.4015/S1016237220500477
dc.identifier.issn1016-2372
dc.identifier.issn1793-7132
dc.identifier.issue6
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://dx.doi.org/10.4015/S1016237220500477
dc.identifier.urihttps://hdl.handle.net/20.500.12511/6206
dc.identifier.volume32
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWorld Scientific
dc.relation.ispartofBiomedical Engineering - Applications, Basis and Communicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEnvironmental Stresses
dc.subjectEpidemiology
dc.subjectMathematical Model
dc.subjectMCMC Parametric Analysis
dc.subjectStability Analysis
dc.titleComputational framework to explore impact of environmental stress on epidemics
dc.typeArticle

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