[PDF][PDF] Designing effective and practical interventions to contain epidemics
Vaccination is a standard public health intervention for controlling the spread of epidemics.
However, the supply of vaccines is typically limited, and therefore, their deployment needs to …
However, the supply of vaccines is typically limited, and therefore, their deployment needs to …
Data-driven allocation of vaccines for controlling epidemic outbreaks
We propose a mathematical framework, based on conic geometric programming, to control a
susceptible-infected-susceptible viral spreading process taking place in a directed contact …
susceptible-infected-susceptible viral spreading process taking place in a directed contact …
Optimization methods for decision making in disease prevention and epidemic control
Y Deng, S Shen, Y Vorobeychik - Mathematical Biosciences, 2013 - Elsevier
This paper investigates problems of disease prevention and epidemic control (DPEC), in
which we optimize two sets of decisions:(i) vaccinating individuals and (ii) closing locations …
which we optimize two sets of decisions:(i) vaccinating individuals and (ii) closing locations …
Optimal resource allocation for control of networked epidemic models
C Nowzari, VM Preciado… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
This paper proposes and analyzes a generalized epidemic model over arbitrary directed
graphs with heterogeneous nodes. The proposed model, called the generalized-susceptible …
graphs with heterogeneous nodes. The proposed model, called the generalized-susceptible …
Data-driven network resource allocation for controlling spreading processes
We propose a mathematical framework, based on conic geometric programming, to control a
susceptible-infected-susceptible viral spreading process taking place in a directed contact …
susceptible-infected-susceptible viral spreading process taking place in a directed contact …
Disease control as an optimization problem
In the context of epidemiology, policies for disease control are often devised through a
mixture of intuition and brute-force, whereby the set of logically conceivable policies is …
mixture of intuition and brute-force, whereby the set of logically conceivable policies is …
Conquering the worst case of infections in networks
We develop algorithms to control the scope of an infection spread on a network by allocating
a fixed immunization budget to edges of the graph. We assume that the infection propagates …
a fixed immunization budget to edges of the graph. We assume that the infection propagates …
Preventing infectious disease in dynamic populations under uncertainty
Treatable infectious diseases are a critical challenge for public health. Outreach campaigns
can encourage undiagnosed patients to seek treatment but must be carefully targeted to …
can encourage undiagnosed patients to seek treatment but must be carefully targeted to …
Outbreak minimization vs influence maximization: an optimization framework
Background An effective approach to containing epidemic outbreaks (eg, COVID-19) is
targeted immunization, which involves identifying “super spreaders” who play a key role in …
targeted immunization, which involves identifying “super spreaders” who play a key role in …
Dynamic resource allocation to control epidemic outbreaks a model predictive control approach
We consider the problem of dynamically allocating limited resources to control a spreading
process over a network using Model Predictive Control (MPC) techniques. In our approach …
process over a network using Model Predictive Control (MPC) techniques. In our approach …