Open Access
Efficient Uncertainty Quantification and Variance-Based Sensitivity Analysis in Epidemic Modelling Using Polynomial Chaos
Math. Model. Nat. Phenom., 17 (2022) 8
Published online: 20 May 2022
Mathematical Modelling of Natural Phenomena
Mathematical Modelling of Natural Phenomena (MMNP) is an international research journal, which publishes top-level original papers, reviews and topical issues on mathematical modelling in biology, medicine, chemistry, physics, and other areas. Read more
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Open Access
Immuno-Epidemiological Model-Based Prediction of Further Covid-19 Epidemic Outbreaks Due to Immunity Waning
Math. Model. Nat. Phenom., 17 (2022) 9Published online: 20 May 2022 -
Open Access
Concentration and Cavitation in the Vanishing Pressure Limit of Solutions to a 3 × 3 Generalized Chaplygin Gas Equations
Math. Model. Nat. Phenom., 17 (2022) 10Published online: 20 May 2022 -
Open Access
Non-Markovian modelling highlights the importance of age structure on Covid-19 epidemiological dynamics
Math. Model. Nat. Phenom., 17 (2022) 7Published online: 29 March 2022 -
Open Access
Spatiotemporal pattern formation in a prey–predator model with generalist predator
Math. Model. Nat. Phenom., 17 (2022) 6Published online: 01 March 2022
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Free Access
Plant Growth and Development - Basic Knowledge and Current ViewsMath. Model. Nat. Phenom., 6 2 (2011) 1-53
Published online: 11 October 2010
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| 152 |
Open Access
Un modèle mathématique des débuts de l’épidémie de coronavirus en FranceMath. Model. Nat. Phenom., 15 (2020) 29
Published online: 05 May 2020
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| 67 |
Free Access
Methods of Blood Flow ModellingMath. Model. Nat. Phenom., 11 1 (2016) 1-25
Published online: 03 December 2015
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| 55 |
Free Access
On the Use of the Hill Functions in Mathematical Models of Gene Regulatory NetworksMath. Model. Nat. Phenom., 3 2 (2008) 85-97
Published online: 22 October 2008
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| 55 |
Open Access
Mathematical modelling for coronavirus disease (COVID-19) in predicting future behaviours and sensitivity analysisMath. Model. Nat. Phenom., 15 (2020) 33
Published online: 28 May 2020
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