The inverse infection problem

Bóta, András; Krész, Miklós; Pluhár, András

doi:10.15439/2014f261

Cited by 15 publications

(11 citation statements)

References 17 publications

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“…These conditions were met by 278 people (268 women), with the mean age of 46.94 years (from 19 to 70; SD = 11.375). Most persons were employed as nurses and auxiliary nurses (235), followed by other healthcare workers (24), supporting staff ( 14), and managers (3).…”

Section: Data Collection and Transformationmentioning

confidence: 99%

Improving Mental Wellbeing in Organizations with Targeted Psychosocial Interventions

Lipovac

Hajdú

Wie

et al. 2020

Business Systems Research Journal

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Background: Mental wellbeing of employees is crucial for successful organizations. Psychosocial interventions that target highly contagious individuals (i.e., individuals that can ‘transmit’ their wellbeing to others) could efficiently improve overall wellbeing in the workplace.Objectives: Using the magnitudes of effects observed in existing studies on psychosocial interventions and the contagion of mental wellbeing, we aimed to examine how the wellbeing of a group (based on WHO-5 Well-Being Index scores) changes if interventions are provided to highly contagious people instead of randomly selected individuals.Methods/Approach: Based on the data on mental wellbeing of 414 nursing home employees, we created a social network that includes individual levels of wellbeing and the strength of the connection between people. Simulation-based influence-maximization was used on the network and interventions were interventions were provided to either contagious or randomly selected individuals.Results: Overall, mental wellbeing of the group increased slightly more when individuals had received a simulated psychosocial intervention in order of contagiousness compared to the cases in which interventions were provided to randomly selected individuals.Conclusions: Selectively targeting highly contagious individuals could be an efficient approach to improving wellbeing in organizations, especially in social contexts, where the contagion of mental wellbeing is likelier.

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Section: Data Collection and Transformationmentioning

confidence: 99%

Improving Mental Wellbeing in Organizations with Targeted Psychosocial Interventions

Lipovac

Hajdú

Wie

et al. 2020

Business Systems Research Journal

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“…Optimization-based modeling frameworks are increasingly being applied to the field of epidemiology. As an alternative to the relative risk models discussed prior, which define the risk functions a priori, optimization methods can be applied to estimate risk functions for a given network (Gardner et al 2012;Bóta et al 2014). These models utilize available spatial-temporal case data and network properties to estimate risk functions, which can then be used to predict the likelihood of further disease spread in the network.…”

Section: Optimization-based Modeling Frameworkmentioning

confidence: 99%

Moving Object Uncertainty

Trajcevski¹,

Scheuermann²

2017

Encyclopedia of GIS

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“…We have used the Fully Informed Particle Swarm published in [15] with a von Neumann neighborhood. 4 The position and the velocity of the agents are updated according to the following equations:…”

Section: Particle-swarm Optimizationmentioning

confidence: 99%

“…The stability and the accuracy of the optimization will be examined, we will review the available infection heuristics and we will also identify the minimum number of patterns required to accurately estimate the infection probabilities. A preliminary version of this paper appeared in the proceedings of the Federated Conference on Computer Science and Information Systems [4].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Edge Infection Probabilities in the Inverse Infection Problem

Bóta

Krész

Pluhár

2015

Recent Advances in Computational Optimization

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Several methods have been proposed recently to estimate the edge infection probabilities in infection or diffusion models. In this paper we will use the framework of the Generalized Cascade Model to define the Inverse Infection Problem-the problem of calculating these probabilities. We are going to show that the problem can be reduced to an optimization task and we will give a particle swarm based method as a solution. We will show, that direct estimation of the separate edge infection values is possible, although only on small graphs with a few thousand edges. To reduce the dimensionality of the task, the edge infection values can be considered as functions of known attributes on the vertices or edges of the graph, this way only the unknown coefficients of these functions have to be estimated. We are going to evaluate our method on artificially created infection scenarios. Our main points of interest are the accuracy and stability of the estimation.

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The inverse infection problem

Cited by 15 publications

References 17 publications

Improving Mental Wellbeing in Organizations with Targeted Psychosocial Interventions

Improving Mental Wellbeing in Organizations with Targeted Psychosocial Interventions

Moving Object Uncertainty

Estimation of Edge Infection Probabilities in the Inverse Infection Problem

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