
Bruno Buonomo
POSITION
Full professor, University of Naples Federico II
EDUCATION
Degree in Mathematics, University of Naples Federico II
PhD in Mathematics, University of Naples Federico II
VISITING/TEACHING
University of Glasgow, 1999/2000
University of Basilicata, 2003/2005
Xi'an Jiaotong University, Xi'an, China, 2004
Southwest Normal University, Chongqing, China, 2008
University of Gulu Uganda, 2009
Universidad Autonoma de Yucatan (UADY), Mexico, 2012
Universidad Nacional Autonoma de Mexico (UNAM), 2012
Fudan University, Shanghai, China, 2012
TEACHING AT FEDERICO II
Evolutionary Processes in Mathematical Physics
Mathematical Physics
Statistics
FIELD OF INTEREST
Analysis and control of evolution equations, in finite and infinite dimensional spaces, mainly concerning with Biomathematics
PAST AND PRESENT COLLABORATIONS
Eric Avila Vales (UADY, Yucatan, Mexico)
Andrea Di Liddo (National Research Council, Bari)
Alberto d'Onofrio (IPRI, Lyon, France)
Paolo Fergola (University of Naples Federico II)
Vincent Hull (Central Hydrobiology Laboratory, Rome)
Deborah Lacitignola (University of Cassino)
Salvatore Rionero (University of Naples Federico II)
Cruz Vargas De-Leon (University of Guerrero, Mexico)
Supervisors: Paolo Fergola (Naples Federico II, Master thesis) and Salvatore Rionero (Naples Federico II, PhD thesis)
Phone: +39.081.675630
Address: Dep. Mathematics and Applications
University of Naples Federico II
via Cintia,
80126 NAPLES
ITALY
Full professor, University of Naples Federico II
EDUCATION
Degree in Mathematics, University of Naples Federico II
PhD in Mathematics, University of Naples Federico II
VISITING/TEACHING
University of Glasgow, 1999/2000
University of Basilicata, 2003/2005
Xi'an Jiaotong University, Xi'an, China, 2004
Southwest Normal University, Chongqing, China, 2008
University of Gulu Uganda, 2009
Universidad Autonoma de Yucatan (UADY), Mexico, 2012
Universidad Nacional Autonoma de Mexico (UNAM), 2012
Fudan University, Shanghai, China, 2012
TEACHING AT FEDERICO II
Evolutionary Processes in Mathematical Physics
Mathematical Physics
Statistics
FIELD OF INTEREST
Analysis and control of evolution equations, in finite and infinite dimensional spaces, mainly concerning with Biomathematics
PAST AND PRESENT COLLABORATIONS
Eric Avila Vales (UADY, Yucatan, Mexico)
Andrea Di Liddo (National Research Council, Bari)
Alberto d'Onofrio (IPRI, Lyon, France)
Paolo Fergola (University of Naples Federico II)
Vincent Hull (Central Hydrobiology Laboratory, Rome)
Deborah Lacitignola (University of Cassino)
Salvatore Rionero (University of Naples Federico II)
Cruz Vargas De-Leon (University of Guerrero, Mexico)
Supervisors: Paolo Fergola (Naples Federico II, Master thesis) and Salvatore Rionero (Naples Federico II, PhD thesis)
Phone: +39.081.675630
Address: Dep. Mathematics and Applications
University of Naples Federico II
via Cintia,
80126 NAPLES
ITALY
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Papers by Bruno Buonomo
models. We show that the model allows to easily determine optimal control strategies for implementing health campaigns. Moreover, the controlled system may predict a dramatic reduction of malaria incidence even when the uncontrolled
system predicts stable endemicity.
The case of time–dependent controls is studied by means of the optimal control theory. The strategy is to minimize both the disease burden and the intervention costs. We derive the optimality system and solve it numerically. The characterization of the optimal time profile of the controls, together with the
qualitative analysis provide a rather complete picture of the possible outcomes of the model."
looses its stability for Ro = 1 and a transcritical bifurcation takes place. We analyze this aspect
from the point of view of the mathematical structure of models, in order to assess which parts
of the structure might be responsible of the direction of the transcritical bifurcation. We formulate
a general criterion, which gives sufficient (resp. necessary) conditions for the occurrence of forward
(resp. backward) bifurcations. The criterion, obtained as consequence of a well known analysis of
the centre manifold for general epidemic models, is applied to several epidemic models taken from
the literature.
humans. This modification has been shown to strongly affect the system dynamics. In particular, by using the theory of center manifold, the occurrence of a backward bifurcation at R0 = 1 is shown possible. This implies that a stable endemic equilibrium may also exists for R0 < 1. When R0 > 1, the endemic persistence
of the disease has been proved to hold also for the extended model. This last result is obtained by means of the geometric approach to global stability.
The global stability analysis of the endemic states is performed by means of the geometric approach to stability, with particular focus on a model of vaccination of adult susceptible subjects. Biological implications of the results are discussed.
infectious classes. By using a peculiar Lyapunov function, we obtain necessary and sufficient conditions for the local nonlinear stability of equilibria. Conditions ensuring the global stability are also obtained. Unlike the recent literature on this subject, here no restrictions are required about the monotonicity and concavity of the incidence rate with respect to the infectious class. Among the applications, the noteworthy case of a convex
incidence rate is provided."
models. We show that the model allows to easily determine optimal control strategies for implementing health campaigns. Moreover, the controlled system may predict a dramatic reduction of malaria incidence even when the uncontrolled
system predicts stable endemicity.
The case of time–dependent controls is studied by means of the optimal control theory. The strategy is to minimize both the disease burden and the intervention costs. We derive the optimality system and solve it numerically. The characterization of the optimal time profile of the controls, together with the
qualitative analysis provide a rather complete picture of the possible outcomes of the model."
looses its stability for Ro = 1 and a transcritical bifurcation takes place. We analyze this aspect
from the point of view of the mathematical structure of models, in order to assess which parts
of the structure might be responsible of the direction of the transcritical bifurcation. We formulate
a general criterion, which gives sufficient (resp. necessary) conditions for the occurrence of forward
(resp. backward) bifurcations. The criterion, obtained as consequence of a well known analysis of
the centre manifold for general epidemic models, is applied to several epidemic models taken from
the literature.
humans. This modification has been shown to strongly affect the system dynamics. In particular, by using the theory of center manifold, the occurrence of a backward bifurcation at R0 = 1 is shown possible. This implies that a stable endemic equilibrium may also exists for R0 < 1. When R0 > 1, the endemic persistence
of the disease has been proved to hold also for the extended model. This last result is obtained by means of the geometric approach to global stability.
The global stability analysis of the endemic states is performed by means of the geometric approach to stability, with particular focus on a model of vaccination of adult susceptible subjects. Biological implications of the results are discussed.
infectious classes. By using a peculiar Lyapunov function, we obtain necessary and sufficient conditions for the local nonlinear stability of equilibria. Conditions ensuring the global stability are also obtained. Unlike the recent literature on this subject, here no restrictions are required about the monotonicity and concavity of the incidence rate with respect to the infectious class. Among the applications, the noteworthy case of a convex
incidence rate is provided."