| |
original article |
Journal |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
Trends in Computational and Applied Mathematics |
2025―Dec―11 |
An Application of Two Models for COVID-19 in Brazil |
R. S. Marcolino, J. F. C. A Meyer |
| 2 |
[GO] |
Trends in Computational and Applied Mathematics |
2025―Dec―11 |
Modelos de crescimento exponencial, logístico e Gompertz: Uma revisão teórica e aplicação a dados da COVID-19","Exponential, logistic and Gompertz growth models: A theoretical review and application to COVID-19 data |
A. S. Guimarães, M. I. C. M. Rossi, W. A. O. Soler, E. F. Saraiva |
| 3 |
[GO] |
Trends in Computational and Applied Mathematics |
2025―Dec―11 |
Identification of a time-varying SIR Model for Covid-19 |
W. Haselein, D. Eckhard |
| 4 |
[GO] |
Trends in Computational and Applied Mathematics |
2025―May―02 |
Deterministic Mathematical Model and Analysis of Transmission Dynamics of Covid-19 from Reservoir-to-Human |
A. J. Akingbade |
| 5 |
[GO] |
Trends in Computational and Applied Mathematics |
2024―Apr―29 |
Análise e controle ótimo da COVID-19 no Brasil usando modelo epidemiológico SI intervalar |
J. R. Campos, I. Da S. Pena, G. N. Silva, W. A. Lodwick |
| 6 |
[GO] |
Trends in Computational and Applied Mathematics |
2023―Nov―28 |
Evaluating the Interplay between Transmissibility and Virulence of SARS-CoV-2 by Mathematical Modeling |
L. P. Lombardi Jr, H. Yang, B. Spira, A. C. Yang |
| 7 |
[GO] |
Trends in Computational and Applied Mathematics |
2023―Jul―24 |
Downside Risk Aplicado a Carteiras de Ações Brasileiras Durante Período Pandêmico da COVID-19 |
C. M. Freitas, Y. V. Santiago, S. M. S. Carvalho |
| 8 |
[GO] |
Trends in Computational and Applied Mathematics |
2023―Jul―24 |
Mathematical Modeling and Georeferenced Forecasting for the COVID-19 at the State of RS, Brazil |
J. C. Marques, A. De Cezaro, D. C. L. Alves, P. V. A. B. Lisbôa, M. Lazo, D. A. Sales |
| 9 |
[GO] |
Trends in Computational and Applied Mathematics |
2023―Jul―24 |
The Sooner Strict Public Health Strategies are Applied the Lower the Peak of the Epidemic: the SARS-CoV-2 Case |
J. G. Villavicencio Pulido, I. Barradas, F. Saldaña, C. Nila Luévano |
| 10 |
[GO] |
Trends in Computational and Applied Mathematics |
2023―May―24 |
A Logistic Fractional Model with Control Measures for Cumulative Cases of COVID-19 |
M. M. Lopes, F. S. Pedro, D. E. Sánchez, V. F. Wasques, E. Esmi, L. C. De Barros |
| 11 |
[GO] |
Trends in Computational and Applied Mathematics |
2023―Mar―15 |
Optimal Vaccination Policies for COVID-19 Considering Vaccine Doses Delays |
J. Gianatti, P. A. Lotito, J. G. Neder, P. M. Núñez, L. A. Parente |
| 12 |
[GO] |
Trends in Computational and Applied Mathematics |
2022―Nov―09 |
A Spectral Clustering Approach for the Evolution of the COVID-19 Pandemic in the State of Rio Grande do Sul, Brazil |
L. E. Allem, C. Hoppen, M. M. Marzo, L. S. Sibemberg |
| 13 |
[GO] |
Trends in Computational and Applied Mathematics |
2022―Nov―09 |
Diffusive Metrics Induced by Random Affinities on Graphs. An Application to the Transport Systems Related to the COVID-19 Setting for Buenos Aires (AMBA) |
M. F. Acosta, H. Aimar, I. Gómez, F. Morana |
| 14 |
[GO] |
Trends in Computational and Applied Mathematics |
2022―Sep―19 |
Health Professionals and the Dynamics of COVID-19 in Manaus during the First Wave |
R. C. Bassanezi, L. T. Takahashi, A. L. O. Soares, M. H. R. Luiz, S. D. De Souza, D. F. Gomes |
| 15 |
[GO] |
Trends in Computational and Applied Mathematics |
2022―Jun―27 |
Numerical Simulations of the SEIR Epidemiological Model with Population Heterogeneity to Assess the Efficiency of Social Isolation in Controlling COVID-19 in Brazil |
A. L. O. Soares, C. M. Caloi, R. C. Bassanezi |
| 16 |
[GO] |
Trends in Computational and Applied Mathematics |
2022―Jun―27 |
Universal Approximators: New Approach for the Curve Fit of the COVID-19 Infected Population |
A. M. A. Bertone, J. B. Martins, R. S. M. Jafelice |
| 17 |
[GO] |
Trends in Computational and Applied Mathematics |
2022―Jan―23 |
One Study of COVID-19 Spreading at The United States - Brazil - Colombia |
Eliandro Rodrigues Cirilo, Paulo Natti, Neyva Romeiro, Miguel Candezano, Jeinny Polo |
| 18 |
[GO] |
Trends in Computational and Applied Mathematics |
2022―Jan―12 |
COVID-19 - Modeling and Parameter Estimation for Brazil and Portugal: How predictable is the future? |
J. M. R. De Souza, T. Y. Miyaoka, C. F. D. Kunz, J. F. C. A. Meyer |
| 19 |
[GO] |
Trends in Computational and Applied Mathematics |
2022―Jan―12 |
Different Approaches to the Modelling of COVID-19 |
J. F. C. A. Meyer, M. Lima, C. C. Espitia, F. Longo, B. Laiate, A. N. Gois, C. F. D. Kunz |
| 20 |
[GO] |
Trends in Computational and Applied Mathematics |
2022―Jan―12 |
Mathematical Modeling to Perform an Analysis of Social Isolation Periods in the Dissemination of COVID-19 |
A. Molter, R. S. Quadros, M. Rafikov, D. Buske, G. A. Gonçalves |
| 21 |
[GO] |
Trends in Computational and Applied Mathematics |
2021―Apr―06 |
Why Can We Observe a Plateau Even in an Out of Control Epidemic Outbreak? A SEIR Model With the Interaction of n Distinct Populations for Covid-19 in Brazil. |
M. J. Lazo, A. De Cezaro |
| 22 |
[GO] |
Trends in Computational and Applied Mathematics |
2021―Apr―06 |
Formulation and Solution of an Inverse Reliability Problem to Simulate the Dynamic Behavior of COVID-19 Pandemic |
F. S. Lobato, G. M. Platt, G. B. Libotte, A. J. Silva Neto |
