scholarly journals Assessment of health damage due to exposure to mineral wool fine dusts

2014 ◽  
Vol 95 (4) ◽  
pp. 570-574 ◽  
Author(s):  
O I Kopytenkova ◽  
A V Levanchuk ◽  
Z Sh Tursunov
Keyword(s):  
Risk Assessment ◽  
Cardiovascular Risk ◽  
Assessment Method ◽  
Mineral Wool ◽  
Model Parameters ◽  
Length Of Service ◽  
Metal Compounds ◽  
Risk Assessment Method ◽  
Health Damage ◽  
Discharge Summaries

Aim. To develop the rapid method for cardiovascular diseases risk assessment among employees exposed to mineral wool fine dusts. Methods. Concentrations of particles smaller than 10 and 2.5 μm were measured in the air of mineral wools producing working area using «OMPN-10.0» dust meter. The mass fraction of heavy metals in mineral wools was calculated by atomic absorption method. Statistical analysis of 40 out-patient charts data and discharge summaries of occupational diseases department was performed. Cardiovascular risk mathematical model parameters were calculated using SPSS Statistica 17.0 software package. Results. Dust concentration in the air of working area where mineral wools are used was 8.2±1.3 mg/m3, including 1.8±0.4 mg/m3 of particles smaller than 10 μm and 1.25±0.3 mg/m3 of particles smaller than 2.5 μm. Heavy metal compounds, such as Cu, Zn, Pb, Cd, Ni, were revealed in the dust. Relation between the cardiovascular risk and duration of service in unfavorable environmental conditions and hygienic standards overage ratio was established. The risk for a disease for workers with term of service of 4 years was assessed as high, with term of service of 14 years - as extra-high. Conclusion. Results showing the dependence of cardiovascular risk on contact with mineral wool fine dust and length of service and hygienic standards overage ratio can be used as an express cardiovascular risk assessment method in employees exposed to mineral wool fine dusts with the particles size smaller than 10 and 2.5 μm.

Storm surge risk assessment method for a coastal county in China: case study of Jinshan District, Shanghai

2020 ◽  
Vol 34 (5) ◽  
pp. 627-640 ◽  
Author(s):  
Shi Xianwu ◽  
Qiu Jufei ◽  
Chen Bingrui ◽  
Zhang Xiaojie ◽  
Guo Haoshuang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Storm Surge ◽  
Assessment Method ◽  
Risk Assessment Method ◽  
Coastal County

scholarly journals A Methodology for Harmonizing Safety and Health Scales in Occupational Risk Assessment

2021 ◽  
Vol 18 (9) ◽  
pp. 4849
Author(s):  
Zuzhen Ji ◽  
Dirk Pons ◽  
John Pearse
Keyword(s):  
Risk Assessment ◽  
Health And Safety ◽  
Assessment Method ◽  
Assessment Process ◽  
Successful Implementation ◽  
Health Issues ◽  
Public Health Perspective ◽  
Chronic Health ◽  
Risk Assessment Method

Successful implementation of Health and Safety (H&S) systems requires an effective mechanism to assess risk. Existing methods focus primarily on measuring the safety aspect; the risk of an accident is determined based on the product of severity of consequence and likelihood of the incident arising. The health component, i.e., chronic harm, is more difficult to assess. Partially, this is due to both consequences and the likelihood of health issues, which may be indeterminate. There is a need to develop a quantitative risk measurement for H&S risk management and with better representation for chronic health issues. The present paper has approached this from a different direction, by adopting a public health perspective of quality of life. We have then changed the risk assessment process to accommodate this. This was then applied to a case study. The case study showed that merely including the chronic harm scales appeared to be sufficient to elicit a more detailed consideration of hazards for chronic harm. This suggests that people are not insensitive to chronic harm hazards, but benefit from having a framework in which to communicate them. A method has been devised to harmonize safety and harm risk assessments. The result was a comprehensive risk assessment method with consideration of safety accidents and chronic health issues. This has the potential to benefit industry by making chronic harm more visible and hence more preventable.

An intelligent quantitative risk assessment method for ammonia synthesis process

2021 ◽  
Vol 420 ◽  
pp. 129893
Author(s):  
Zijian Liu ◽  
Wende Tian ◽  
Zhe Cui ◽  
Honglong Wei ◽  
Chuankun Li
Keyword(s):  
Risk Assessment ◽  
Ammonia Synthesis ◽  
Assessment Method ◽  
Quantitative Risk Assessment ◽  
Synthesis Process ◽  
Risk Assessment Method

An immune-based risk assessment method for digital virtual assets

2021 ◽  
Vol 102 ◽  
pp. 102134
Author(s):  
Junjiang He ◽  
Tao Li ◽  
Beibei Li ◽  
Xiaolong Lan ◽  
Zhiyong Li ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Assessment Method ◽  
Risk Assessment Method

scholarly journals Absolute mortality risk assessment of COVID-19 patients: the Khorshid COVID Cohort (KCC) study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hamid Reza Marateb ◽  
Maja von Cube ◽  
Ramin Sami ◽  
Shaghayegh Haghjooy Javanmard ◽  
Marjan Mansourian ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Hospital Admission ◽  
Mortality Risk ◽  
Regression Models ◽  
Assessment Method ◽  
Point Of View ◽  
Statistical Point ◽  
Hazard Regression ◽  
Risk Assessment Method ◽  
Discharge From Hospital

Abstract Background Already at hospital admission, clinicians require simple tools to identify hospitalized COVID-19 patients at high risk of mortality. Such tools can significantly improve resource allocation and patient management within hospitals. From the statistical point of view, extended time-to-event models are required to account for competing risks (discharge from hospital) and censoring so that active cases can also contribute to the analysis. Methods We used the hospital-based open Khorshid COVID Cohort (KCC) study with 630 COVID-19 patients from Isfahan, Iran. Competing risk methods are used to develop a death risk chart based on the following variables, which can simply be measured at hospital admission: sex, age, hypertension, oxygen saturation, and Charlson Comorbidity Index. The area under the receiver operator curve was used to assess accuracy concerning discrimination between patients discharged alive and dead. Results Cause-specific hazard regression models show that these baseline variables are associated with both death, and discharge hazards. The risk chart reflects the combined results of the two cause-specific hazard regression models. The proposed risk assessment method had a very good accuracy (AUC = 0.872 [CI 95%: 0.835–0.910]). Conclusions This study aims to improve and validate a personalized mortality risk calculator based on hospitalized COVID-19 patients. The risk assessment of patient mortality provides physicians with additional guidance for making tough decisions.

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