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Modeling Dengue Immune Responses Mediated by Antibodies: Insights on the Biological Parameters to Describe Dengue Infections
Anam, V.
; Sebayang, A.A.; Fahlena, H.; Knopoff, D.A.; Stollenwerk, N.; Soewono, E.; Aguiar, M. (2022-03-18)
; Sebayang, A.A.; Fahlena, H.; Knopoff, D.A.; Stollenwerk, N.; Soewono, E.; Aguiar, M. (2022-03-18)
Dengue fever is a viral mosquito-borne disease, a significant global health concern, with more than one third of the world population at risk of acquiring the disease. Caused by 4 antigenically distinct but related virus ...
Seasonally Forced SIR Systems Applied to Respiratory Infectious Diseases, Bifurcations, and Chaos
Stollenwerk, N.; Spaziani, S.; Mar, J.; Knopoff, D.A.; Cusimano, N.; Anam, V.; Aguiar, M.; Eguiguren, I.; Srivastav, A. K. (2022-03-03)
; Spaziani, S.; Mar, J.; Knopoff, D.A.; Cusimano, N.; Anam, V.; Aguiar, M.; Eguiguren, I.; Srivastav, A. K. (2022-03-03)
We investigate models to describe respiratory diseases with fast mutating virus pathogens such that after some years the aquired resistance is lost and hosts can be infected with new variants of the pathogen. Such models ...
Modelling Holling type II functional response in deterministic and stochastic food chain models with mass conservation
Stollenwerk, N.; Aguiar, M.; Kooi, B. W. (2022-03-01)
; Aguiar, M.; Kooi, B. W. (2022-03-01)
The Rosenzweig-MacArthur predator-prey model is the building block in modeling food chain, food webs and ecosystems. There are a number of hidden assumptions involved in the derivation. For instance the prey population ...
Mathematical models for dengue fever epidemiology: a 10-year systematic review
Aguiar, M.; Anam, V.; Blyuss, K.; Estadilla, C. D. S.; Guerrero, B.; Knopoff, D.A.; Kooi, B. W.; Srivastav, A. K.; Steindorf, V.; Stollenwerk, N. (2022-02-15)
; Anam, V.; Blyuss, K.; Estadilla, C. D. S.; Guerrero, B.; Knopoff, D.A.; Kooi, B. W.; Srivastav, A. K.; Steindorf, V.; Stollenwerk, N. (2022-02-15)
Mathematical models have a long history in epidemiological research, and as the COVID-19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological ...
Spatially Extended SHAR Epidemiological Framework of Infectious Disease Transmission
Knopoff, D.A.; Cusimano, N.; Stollenwerk, N.; Aguiar, M. (2022-02-13)
; Cusimano, N.; Stollenwerk, N.; Aguiar, M. (2022-02-13)
Mathematical models play an important role in epidemiology. The inclusion of a spatial component in epidemiological models is especially important to understand and address many relevant ecological and public health ...
Deterministic and Stochastic Dynamics of COVID-19: The Case Study of Italy and Spain
Srivastav, A. K.; Stollenwerk, N.; Aguiar, M. (2022-02-13)
; Aguiar, M. (2022-02-13)
In December 2019, a severe respiratory syndrome (COVID-19) caused by a new coronavirus (SARS-CoV-2) was identified in China and spread rapidly around the globe. COVID-19 was declared a pandemic by the World Health Organization ...
Effect of General Cross-Immunity Protection and Antibody- Dependent Enhancement in Dengue Dynamics
Steindorf, V; Oliva, S.; Wu, J.; Aguiar, M. (2022-02-13)
(2022-02-13)
A mathematical model to describe the dynamic of a multiserotype infectious disease at the population level is studied. Applied to
dengue fever epidemiology, we analyse a mathematical model with time delay to describe the ...
Classification of bursting patterns: A tale of two ducks
Desroches, M.; Rinzel, J.; Rodrigues, S. (2022-01-20)
; Rinzel, J.; Rodrigues, S. (2022-01-20)
Bursting is one of the fundamental rhythms that excitable cells can generate either in response to incoming stimuli or intrinsically. It has been a topic of intense research in computational biology for several decades. ...
Wigner's friends, tunnelling times and Feynman's "only mystery of quantum mechanics"
Sokolovsksi, D.; Akhmatskaya, E. (2022-01-13)
(2022-01-13)
Recent developments in elementary quantum mechanics have seen a number of extraordinary claims regarding quantum behaviour, and even questioning internal consistency of the theory. These are, we argue, different disguises ...
An Optimizing Method for Performance and Resource Utilization in Quantum Machine Learning Circuits
(2022-01)
Quantum computing is a new and advanced topic that refers to calculations based on the principles of quantum mechanics. Itmakes certain kinds of problems be solved easier compared to classical computers. This advantage of ...