“…If s = ρ(P ), it is a singular M -matrix. The matrix F V −1 is named the next generation matrix for the model and R 0 = ρ(F V −1 ), (11) in which ρ(A) is the spectral radius of the matrix A. The (i, j) entry of matrix F V −1 estimates how many new infections are expected to arise in compartment i if an infected individual is introduced into compartment j.…”
Section: Discussionmentioning
confidence: 99%
“…Other patterns of mobility may occur in different regions. For instance, in Île-de-France, Paris metropolitan area, a portion of individuals from the capital work in the surroundings [11]. Figure 3. Transition matrix of the Rio de Janeiro metropolitan area. A heatmap showing the matrix P in the case of the Rio de Janeiro metropolitan area (mobility data taken from [34]).…”
Section: Methodsmentioning
confidence: 99%
“…Other patterns of mobility may occur in different regions. For instance, in Île-de-France, Paris metropolitan area, a portion of individuals from the capital work in the surroundings [11].…”
This study presents a mathematical model for optimal vaccination strategies in interconnected metropolitan areas, considering commuting patterns. It is a compartmental model with a vaccination rate for each city, acting as a control function. The commuting patterns are incorporated through a weighted adjacency matrix and a parameter that selects day and night periods. The optimal control problem is formulated to minimize a functional cost that balances the number of hospitalizations and vaccines, including restrictions of a weekly availability cap and an application capacity of vaccines per unit of time. The key findings of this work are bounds for the basic reproduction number, particularly in the case of a metropolitan area, and the study of the optimal control problem. Theoretical analysis and numerical simulations provide insights into disease dynamics and the effectiveness of control measures. The research highlights the importance of prioritizing vaccination in the capital to better control the disease spread, as we depicted in our numerical simulations. This model serves as a tool to improve resource allocation in epidemic control across metropolitan regions.
“…If s = ρ(P ), it is a singular M -matrix. The matrix F V −1 is named the next generation matrix for the model and R 0 = ρ(F V −1 ), (11) in which ρ(A) is the spectral radius of the matrix A. The (i, j) entry of matrix F V −1 estimates how many new infections are expected to arise in compartment i if an infected individual is introduced into compartment j.…”
Section: Discussionmentioning
confidence: 99%
“…Other patterns of mobility may occur in different regions. For instance, in Île-de-France, Paris metropolitan area, a portion of individuals from the capital work in the surroundings [11]. Figure 3. Transition matrix of the Rio de Janeiro metropolitan area. A heatmap showing the matrix P in the case of the Rio de Janeiro metropolitan area (mobility data taken from [34]).…”
Section: Methodsmentioning
confidence: 99%
“…Other patterns of mobility may occur in different regions. For instance, in Île-de-France, Paris metropolitan area, a portion of individuals from the capital work in the surroundings [11].…”
This study presents a mathematical model for optimal vaccination strategies in interconnected metropolitan areas, considering commuting patterns. It is a compartmental model with a vaccination rate for each city, acting as a control function. The commuting patterns are incorporated through a weighted adjacency matrix and a parameter that selects day and night periods. The optimal control problem is formulated to minimize a functional cost that balances the number of hospitalizations and vaccines, including restrictions of a weekly availability cap and an application capacity of vaccines per unit of time. The key findings of this work are bounds for the basic reproduction number, particularly in the case of a metropolitan area, and the study of the optimal control problem. Theoretical analysis and numerical simulations provide insights into disease dynamics and the effectiveness of control measures. The research highlights the importance of prioritizing vaccination in the capital to better control the disease spread, as we depicted in our numerical simulations. This model serves as a tool to improve resource allocation in epidemic control across metropolitan regions.
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