The modeling of viral disease has recently piqued the interest of researchers. It is fundamental and a source of concern to accurately predict the spread and transmission of a viral disease, considering its evolution with time. It is very complicated to model a subpopulation with underlying diseases, considering population heterogeneity and epidemic-influencing factors.
For this purpose, we hope to be able to gather papers that will use mathematical and statistical models to demonstrate a link between the endemic and epidemic states of a viral disease, as well as take into account population and transmission heterogeneity and some of the mitigation measures to combat the disease, as well as the possibility that some of the population may be infected with other diseases, leading to co-infection.
Potential topics include (but are not limited to) the following:
- Prediction of the transition between endemic state and epidemic wave;
- Estimation of the daily reproduction number;
- Risk-benefit of the vaccinations in age and comorbidity classes;
- Mutation and evolution of viral pathogen modeling;
- Simulation of the mitigation measures;
- Viral co-infections modeling.
The modeling of viral disease has recently piqued the interest of researchers. It is fundamental and a source of concern to accurately predict the spread and transmission of a viral disease, considering its evolution with time. It is very complicated to model a subpopulation with underlying diseases, considering population heterogeneity and epidemic-influencing factors.
For this purpose, we hope to be able to gather papers that will use mathematical and statistical models to demonstrate a link between the endemic and epidemic states of a viral disease, as well as take into account population and transmission heterogeneity and some of the mitigation measures to combat the disease, as well as the possibility that some of the population may be infected with other diseases, leading to co-infection.
Potential topics include (but are not limited to) the following:
- Prediction of the transition between endemic state and epidemic wave;
- Estimation of the daily reproduction number;
- Risk-benefit of the vaccinations in age and comorbidity classes;
- Mutation and evolution of viral pathogen modeling;
- Simulation of the mitigation measures;
- Viral co-infections modeling.