An optimal control policy in fighting COVID-19 and infectious diseases

Sayarshad, Hamid R.

doi:10.1016/j.asoc.2022.109289

Cited by 10 publications

(3 citation statements)

References 37 publications

(47 reference statements)

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“…Mombaur ( 2016 ) gives the possible applications of Optimal Control Theory for the medical and rehabilitation technology. Sayarshad ( 2022 ) study to find a threshold between health care system and economic activity using public sentiment information.…”

Section: Introductionmentioning

confidence: 99%

An application of optimal control in medical systems: optimal investment strategy in doctors

Akan

Geçici

2023

Netw Model Anal Health Inform Bioinforma

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Health care is ever more important with the aging population and with the increased awareness of the importance of the medical systems due to the corona crisis that showed the capacity of the health care infrastructure, especially in terms of numbers of health care personnel such as doctors, was not sufficient. Assuming that the number of doctors per patient is one of the determinants of patient satisfaction, optimal investments in new doctors, specialist doctors and foreign doctors are analyzed. Optimal Control Theory is employed to determine the optimal investment strategy for new doctors (new graduates), specialists and foreign doctors to maximize the net (of costs) patient satisfaction over a fixed time horizon. It is found that a nation with an insufficient number of total doctors and specialist doctors at the beginning of the planning horizon should increase the investment in new doctors as a quadratic function of time, increase the local specialist doctors linearly, while employing foreign doctors as to equate their cost to the marginal satisfaction of patients.

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Section: Introductionmentioning

confidence: 99%

An application of optimal control in medical systems: optimal investment strategy in doctors

Akan

Geçici

2023

Netw Model Anal Health Inform Bioinforma

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“…Literature [13] pointed out that in the process of innovation diffusion, individuals make adoption decisions based on the information they have obtained, and the influence of information transfer between individuals on innovation adoption behavior is particularly important. Literature [14] proposed an optimal strategy model for epidemics by considering interactions between individuals and the impact of online emotional information on human behavior, striving to minimize the infection burden on the health care system and the financial loss of economic activity during the lockdown.…”

Section: Introductionmentioning

confidence: 99%

Research on the Interaction between Information and Behavior Based on Small Group Effect on Multilayer Social Networks

You,

Zhang,

2023

INT J COMPUT COMMUN, Int. J. Comput. Commun. Control

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In the era of big data, massive amounts of information play an important role in individual behavior and decision-making. In order to investigate the interaction mechanism between information and individual behavior, we consider the influence of the "small group" network structure in social networks, and construct an information-behavior coupled dynamics propagation model (UAL-NBN) based on small group effect. Then we carry out theoretical analysis and derive the dynamic evolution equations for the model used the Micro Markov Chain Approach (MMCA). And we verify the correctness of the theoretical analysis by performing Monte Carlo simulations (MC). The results show that the small group effect does promote the spread of information and behavior in the population, which is reflected in reducing the epidemic threshold and increasing the outbreak size. In addition, we also conclude that the more small group structures exist in social networks, the more significant the promotion effect of the small group effect is. Finally, we describe the specific application of the model in scenarios such as epidemic control, rumor governance, social behavior advocacy, and consumer marketing, and provide theoretical reference and suggestions for the government and other relevant departments to formulate policies which promote the spread of behavior in society through information dissemination.

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“…In direction of control theory application to stabalize the pandemic dynamics, while works on control theory branches like optimal control [39] , [50] have research upon, it has been observed that application of synergetic control theory [51] has been absent. This particular technique will surely be one of the tools we bring into live in our current research work.…”

Section: Introductionmentioning

confidence: 99%

Attention based parameter estimation and states forecasting of COVID-19 pandemic using modified SIQRD Model

Khan¹,

Ullah²,

Lee³

2022

Chaos, Solitons & Fractals

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An optimal control policy in fighting COVID-19 and infectious diseases

Cited by 10 publications

References 37 publications

An application of optimal control in medical systems: optimal investment strategy in doctors

An application of optimal control in medical systems: optimal investment strategy in doctors

Research on the Interaction between Information and Behavior Based on Small Group Effect on Multilayer Social Networks

Attention based parameter estimation and states forecasting of COVID-19 pandemic using modified SIQRD Model

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