scholarly journals Correction: A Fuzzy Model of Risk Assessment for Environmental Start-Up Projects in the Air Transport Sector. Int. J. Environ. Res. Public Health 2019, 16, 3573

2019 ◽  
Vol 16 (23) ◽  
pp. 4850 ◽  
Author(s):  
Volodymyr Polishchuk ◽  
Miroslav Kelemen ◽  
Beáta Gavurová ◽  
Costas Varotsos ◽  
Rudolf Andoga ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Fuzzy Model ◽  
Air Transport ◽  
Transport Sector ◽  
Start Up

The authors wish to make the following correction to their paper [...]

scholarly journals A Fuzzy Model of Risk Assessment for Environmental Start-Up Projects in the Air Transport Sector

2019 ◽  
Vol 16 (19) ◽  
pp. 3573 ◽  
Author(s):  
Volodymyr Polishchuk ◽  
Miroslav Kelemen ◽  
Beáta Gavurová ◽  
Costas Varotsos ◽  
Rudolf Andoga ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Expert Knowledge ◽  
Fuzzy Model ◽  
Assessment Model ◽  
Air Transport ◽  
Quantitative Risk Assessment ◽  
Transport Sector ◽  
Investment Funds ◽  
Start Up ◽  
Fuzzy Risk Assessment

The purpose of this paper is to develop a fuzzy model of the risk assessment for environmental start-up projects in the air transport sector at the stage of business expansion. The model developed for the following software will be a useful tool for the risk decision support system of investment funds in financing environmental start-up projects at the stage of market conquest. Developing a quantitative risk assessment for environmental start-up projects for the air transport sector will increase the resilience of making risk decisions about their financing by the investors. In this paper, a set of 21 criteria for assessing the risk of launching environmental start-up projects in the air transport sector were formulated for the first time by presenting inputs in the form of a linguistic risk assessment and the number of credible expert considerations. The fuzzy risk assessment model, based on expert knowledge, uses linguistic variables, reveals the uncertainty of the input data, and displays a risk assessment with linguistic interpretation. The result of the paper is a fuzzy model that is embedded in a generalized algorithm and tested in an example risk assessment of environmental start-up projects in the air transport sector.

scholarly journals Correction: Fuzzy Model for Quantitative Assessment of Environmental Start-up Projects in Air Transport. Int. J. Environ. Res. Public Health 2019, 16(19), 3585

2019 ◽  
Vol 16 (24) ◽  
pp. 5011
Author(s):  
Miroslav Kelemen ◽  
Volodymyr Polishchuk ◽  
Beáta Gavurová ◽  
Stanislav Szabo ◽  
Róbert Rozenberg ◽  
...  
Keyword(s):  
Public Health ◽  
Quantitative Assessment ◽  
Fuzzy Model ◽  
Air Transport ◽  
Environmental Research ◽  
Start Up

The authors wish to add the following data corrections to the coauthors listed, because of the updated data for their paper published in the International Journal of Environmental Research and Public Health [...]

scholarly journals Fuzzy Model for Quantitative Assessment of Environmental Start-up Projects in Air Transport

2019 ◽  
Vol 16 (19) ◽  
pp. 3585 ◽  
Author(s):  
Miroslav Kelemen ◽  
Volodymyr Polishchuk ◽  
Beáta Gavurová ◽  
Stanislav Szabo ◽  
Róbert Rozenberg ◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation Model ◽  
Fuzzy Model ◽  
State Funding ◽  
Air Transport ◽  
Fuzzy Evaluation ◽  
Applied Model ◽  
Start Up ◽  
Neuro Fuzzy ◽  
Start Ups

The purpose of this paper is to develop an applied fuzzy model of information technology to obtain quantitative estimates of environmental start-up projects in air transport. The developed model will become a useful tool for venture funds, business angels, or crowdfunding platforms for the development of innovative air transport businesses. Obtaining a quantitative estimate of the environmental start-up projects will increase the sustainability of the decision making on the security of financing of such projects by investors. This article develops a fuzzy evaluation model of project start-ups in air transport as an application of our neuro-fuzzy model in a specific air transport environment. The applied model provides output ranking of start-up project teams in air transport based on a four-layer neuro-fuzzy network. The presented model declares the possibilities of the application to solve these economic problems and offers the space for subsequent research focused on its usability in several areas of start-up development, in sectors and processes differentiated. The benefits are also visible for several types of policies, with an emphasis on decision-making processes in regulatory mechanisms to support the state funding in Slovakia, the EU etc.

Dealing with COVID-19: lessons learned from the Italian experience

Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Silvana Mirella Aliberti ◽  
Francesco De Caro ◽  
Giovanni Boccia ◽  
Rosario Caruso ◽  
Mario Capunzo
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Lessons Learned ◽  
Coherent System ◽  
Effective Response ◽  
Medical Practitioners ◽  
Italian Experience ◽  
Rapid Spread ◽  
Public Health Officials ◽  
Future Plans

: Italy was the first western nation affected by the pandemic and was observed as a pilot case in the management of the new coronavirus epidemic. The outbreak of COVID-19 disease has been very difficult in Italy, on June 25, 2020 there are 239,821 total cases of which 33,592 deaths nationwide. Three lessons emerged from this experience that can serve as a blueprint to improve future plans for the outbreak of viruses. First, early reports on the spread of COVID-19 can help inform public health officials and medical practitioners in effort to combat its progression; second, inadequate risk assessment related to the urgency of the situation and limited reporting to the virus has led the rapid spread of COVID-19; third, an effective response to the virus had to be undertaken with coherent system of actions and simultaneously.

scholarly journals Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning

JAMIA Open ◽  
2021 ◽  
Author(s):  
Bo Peng ◽  
Rowland W Pettit ◽  
Christopher I Amos
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Emergency Response ◽  
Robustness Analysis ◽  
Health Policies ◽  
Command Line ◽  
Public Health Policies ◽  
Continuity Planning ◽  
Quantitative Estimates ◽  
Community Infection

Abstract Objectives We developed COVID-19 Outbreak Simulator (https://ictr.github.io/covid19-outbreak-simulator/) to quantitatively estimate the effectiveness of preventative and interventive measures to prevent and battle COVID-19 outbreaks for specific populations. Materials and methods Our simulator simulates the entire course of infection and transmission of the virus among individuals in heterogeneous populations, subject to operations and influences, such as quarantine, testing, social distancing, and community infection. It provides command-line and Jupyter notebook interfaces and a plugin system for user-defined operations. Results The simulator provides quantitative estimates for COVID-19 outbreaks in a variety of scenarios and assists the development of public health policies, risk-reduction operations, and emergency response plans. Discussion Our simulator is powerful, flexible, and customizable, although successful applications require realistic estimation and robustness analysis of population-specific parameters. Conclusion Risk assessment and continuity planning for COVID-19 outbreaks are crucial for the continued operation of many organizations. Our simulator will be continuously expanded to meet this need.

scholarly journals COVID-19 in Dental Settings: Novel Risk Assessment Approach

2021 ◽  
Vol 18 (11) ◽  
pp. 6093
Author(s):  
Ali Alsaegh ◽  
Elena Belova ◽  
Yuriy Vasil’ev ◽  
Nadezhda Zabroda ◽  
Lyudmila Severova ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Dental Care ◽  
Care Delivery ◽  
Oral Diseases ◽  
Infectious Risk ◽  
Care Workers ◽  
Assessment Approach ◽  
Public Health Authorities ◽  
Novel Coronavirus

The novel coronavirus (COVID-19) outbreak is a public health emergency of international concern, and this emergency led to postponing elective dental care procedures. The postponing aimed to protect the public from an unknown risk caused by COVID-19. At the beginning of the outbreak, for public health authorities, the aerosol-generating procedures and the close proximity between dental care workers and patients in dentistry represented sufficient justification for the delay of dental visits. Dental care is a priority, and for many years, studies have proven that the lack and delay of dental care can cause severe consequences for the oral health of the general population, which can cause a high global burden of oral diseases. Safety is necessary while resuming dental activities, and risk assessment is an efficient method for understanding and preventing the COVID-19 infectious threats facing the dental industry and affecting dental care workers and patients. In this study, for safe dental care delivery, we adapted risk assessment criteria and an approach and an occupational classification system. Based on those tools, we also recommend measures that can help to minimize infectious risk in dental settings.

Educated Guesses: Health Risk Assessment in Environmental Impact Statements

1990 ◽  
Vol 16 (3) ◽  
pp. 399-427
Author(s):  
Pamela D. Harvey
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Environmental Impact ◽  
Disease Risk ◽  
National Environmental Policy Act ◽  
The Public ◽  
Environmental Impact Statements ◽  
National Environmental ◽  
Scientific Tool ◽  
Predicted Risk

Environmental pollution threatens public health. The search for solutions has advanced the frontiers of science and law. Efforts to protect the environment and public health begin with describing potential adverse consequences of human activities and characterizing the predicted risk. The National Environmental Policy Act requires the preparation of environmental impact statements to describe the effects of proposed federal projects and provide information for agency decisionmakers and the public.Risks to public health are particularly difficult to quantify because of uncertainty about the relation between exposure to environmental contamination and disease. Risk assessment is the current scientific tool to present estimates of risk. The methodology has created controversy, however, when underlying assumptions and uncertainties are not clearly presented. Critics caution that the methodology is vulnerable to bias. This Note evaluates the use of risk assessment in the environmental impact statement process and offers recommendations to ensure informed decisions.

scholarly journals A Risk Assessment for Ozone Regulation Based on Statistical Rollback

2021 ◽  
Vol 11 (5) ◽  
pp. 2388
Author(s):  
Yongku Kim ◽  
Jeongjin Lee
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Human Health ◽  
Air Pollutants ◽  
Hierarchical Bayesian Models ◽  
Health It ◽  
Matching Method ◽  
Regulatory Standards ◽  
Ozone Regulation ◽  
Ozone Levels

In environmental studies, it is important to assess how regulatory standards for air pollutants affect public health. High ozone levels contribute to harmful air pollutants. The EPA regulates ozone levels by setting ozone standards to protect public health. It is thus crucial to assess how various regulatory ozone standards affect non-accidental mortality related to respiratory deaths during the ozone season. The original rollback approach provides an adjusted ozone process under a new regulation scenario in a deterministic fashion. Herein, we consider a statistical rollback approach to allow for uncertainty in the rollback procedure by adopting the quantile matching method so that it provides flexible rollback sets. Hierarchical Bayesian models are used to predict the potential effects of different ozone standards on human health. We apply the method to epidemiologic data.

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