scholarly journals Application of Data Linkage Techniques to Pacific Northwest Commercial Fishing Injury and Fatality Data 

2021 ◽  
Author(s):  
Jasmine Nahorniak ◽  
Viktor Bovbjerg ◽  
Samantha Case ◽  
Laurel Kincl
Keyword(s):  
Pacific Northwest ◽  
Occupational Safety ◽  
Data Linkage ◽  
Trauma Registry ◽  
The United States ◽  
Commercial Fishing ◽  
Bayes Classifier ◽  
Safety Research ◽  
Linkage Methods ◽  
Nonfatal Injuries

Abstract BackgroundCommercial fishing consistently has among the highest workforce injury and fatality rates in the United States. Data related to commercial fishing incidents are routinely collected by multiple organizations which do not currently coordinate or automatically link data. Each dataset has the potential to generate a more complete picture to inform prevention efforts. Our objective was to examine the utility of using statistical data linkage methods to link these datasets in support of incident surveillance and hazard assessment in the commercial fishing industry.MethodsIn this feasibility study, we identified true matches and discrepancies between de-identified datasets using the Python Record Linkage Toolkit. Four commercial fishing datasets from Oregon and Washington were linked: the Commercial Fishing Incident Database, the Vessel Casualty Database, the Nonfatal Injuries Database, and the Oregon Trauma Registry. The datasets each covered different date ranges within 2000 - 2017, containing 458, 524, 184, and 11 cases respectively. Several data linkage classifiers were evaluated.ResultsThe Naïve-Bayes classifier returned the highest number of true matches between these small datasets. A total of 41 true matches and 8 close matches were identified, of which 29 were determined to be duplicates. In addition, linkage highlighted 4 records that were not commercial fishing cases from Oregon and Washington. The optimum match parameters were the date, state, vessel official number, and number of people on board.ConclusionsStatistical data linkage enables accurate, routine matching for small de-identified injury and fatality datasets such as those in commercial fishing. It provides information needed to improve the accuracy of existing data records. It also enables expanding and sharpening details of individual incidents in support of occupational safety research.

scholarly journals Application of data linkage techniques to Pacific Northwest commercial fishing injury and fatality data

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Jasmine Nahorniak ◽  
Viktor Bovbjerg ◽  
Samantha Case ◽  
Laurel Kincl
Keyword(s):  
Pacific Northwest ◽  
Occupational Safety ◽  
Statistical Data ◽  
Data Linkage ◽  
The United States ◽  
Commercial Fishing ◽  
Small Data ◽  
Data Sets ◽  
Data Set ◽  
Safety Research

Abstract Background Commercial fishing consistently has among the highest workforce injury and fatality rates in the United States. Data related to commercial fishing incidents are routinely collected by multiple organizations which do not currently coordinate or automatically link data. Each data set has the potential to generate a more complete picture to inform prevention efforts. Our objective was to examine the utility of using statistical data linkage methods to link commercial fishing incident data when personally identifiable information is not available. Methods In this feasibility study, we identified true matches and discrepancies between de-identified data sets using the Python Record Linkage Toolkit. Four commercial fishing data sets from Oregon and Washington were linked: the Commercial Fishing Incident Database, the Vessel Casualty Database, the Nonfatal Injuries Database, and the Oregon Trauma Registry. The data sets each covered different date ranges within 2000–2017, containing 458, 524, 184, and 11 cases respectively. Several data linkage classifiers were evaluated. Results The Naïve-Bayes classifier returned the highest number of true matches between these small data sets. A total of 41 true matches and 8 close matches were identified, of which 29 were determined to be duplicates. In addition, linkage highlighted 4 records that were not commercial fishing cases from Oregon and Washington. The optimum match parameters were the date, state, vessel official number, and number of people on board. Conclusions Statistical data linkage enables accurate, routine matching for small de-identified injury and fatality data sets such as those in commercial fishing. It provides information needed to improve the accuracy of existing data records. It also enables expanding and sharpening details of individual incidents in support of occupational safety research.

Injuries and Occupational Safety

2017 ◽  
Author(s):  
Dawn N. Castillo ◽  
Timothy J. Pizatella ◽  
Nancy A. Stout
Keyword(s):  
United States ◽  
Ionizing Radiation ◽  
Occupational Safety ◽  
Occupational Injury ◽  
Occupational Injuries ◽  
Mechanical Energy ◽  
The United States ◽  
Hierarchical Approach ◽  
Safety Hazards ◽  
Injury Control

This chapter describes occupational injuries and their prevention. It describes in detail the causes of injuries and epidemiology of injuries. Occupational injuries are caused by acute exposure in the workplace to safety hazards, such as mechanical energy, electricity, chemicals, and ionizing radiation, or from the sudden lack of essential agents, such as oxygen or heat. This chapter describes the nature and the magnitude of occupational injuries in the United States. It provides data on risk of injuries in different occupations and industries. Finally, it discusses prevention of injuries, using a hierarchical approach to occupational injury control.

Health risk assessment of occupational exposure to heavy metals in a steel casting unit of a steelmaking plant using Monte–Carlo simulation technique

2021 ◽  
pp. 074823372110195
Author(s):  
Fatemeh Dehghani ◽  
Fariborz Omidi ◽  
Reza Ali Fallahzadeh ◽  
Bahman Pourhassan
Keyword(s):  
Heavy Metals ◽  
Occupational Exposure ◽  
Environmental Protection Agency ◽  
Steel Casting ◽  
Occupational Safety ◽  
The United States ◽  
Control Measures ◽  
Monte Carlo Simulation Technique ◽  
Safety And Health ◽  
Casting Unit

The present work aimed to evaluate the health risks of occupational exposure to heavy metals in a steel casting unit of a steel plant. To determine occupational exposure to heavy metals, personal air samples were taken from the workers’ breathing zones using the National Institute for Occupational Safety and Health method. Noncancer and cancer risks due to the measured metals were calculated according to the United States Environmental Protection Agency procedures. The results indicated that the noncancer risks owing to occupational exposure to lead (Pb) and manganese were higher than the recommended value in most of the workstations. The estimated cancer risk of Pb was also higher than the allowable value. Moreover, the results of sensitivity analysis indicated that the concentration, inhalation rate, and exposure duration were the most influencing variables contributing to the calculated risks. It was thus concluded that the present control measures were not adequate and further improvements were required for reducing the exposure levels.

Commercial Fishing as an Occupational Determinant of Opioid Overdoses and Deaths of Despair in Two Massachusetts Fishing Ports, 2000–2014

2021 ◽  
pp. 104829112110234
Author(s):  
Scott Fulmer ◽  
Shruti Jain ◽  
David Kriebel
Keyword(s):  
United States ◽  
Cause Of Death ◽  
Death Certificate ◽  
The United States ◽  
Opioid Overdose ◽  
Commercial Fishing ◽  
Opioid Epidemic ◽  
Death Certificate Data ◽  
Deaths Of Despair

The opioid epidemic has had disproportionate effects across various sectors of the population, differentially impacting various occupations. Commercial fishing has among the highest rates of occupational fatalities in the United States. This study used death certificate data from two Massachusetts fishing ports to calculate proportionate mortality ratios of fatal opioid overdose as a cause of death in commercial fishing. Statistically significant proportionate mortality ratios revealed that commercial fishermen were greater than four times more likely to die from opioid poisoning than nonfishermen living in the same fishing ports. These important quantitative findings suggest opioid overdoses, and deaths to diseases of despair in general, deserve further study in prevention, particularly among those employed in commercial fishing.

scholarly journals Bibliometric Study of Technology and Occupational Health in Healthcare Sector: A Worldwide Trend to the Future

2020 ◽  
Vol 17 (18) ◽  
pp. 6732
Author(s):  
Esther Vaquero-Álvarez ◽  
Antonio Cubero-Atienza ◽  
Pilar Ruiz-Martínez ◽  
Manuel Vaquero-Abellán ◽  
María Dolores Redel Mecías ◽  
...  
Keyword(s):  
Information And Communication Technologies ◽  
Occupational Safety ◽  
Communication Technologies ◽  
The United States ◽  
Bibliometric Study ◽  
Healthcare Sector ◽  
Hospital Epidemiology ◽  
Health Measures ◽  
Safety And Health ◽  
Information And Communication

Since the eighties, technological tools have modified how people interact in their environment. At the same time, occupational safety and health measures have been widely applied. The European Agency for Safety and Health at Work considers that information and communication technologies are the main methods to achieve the goals proposed to improve working life and the dissemination of good practices. The principal objective was to determine the trends of publications focused on these technologies and occupational safety in the healthcare sector during the last 30 years. A bibliometric study was carried out. The 1021 documents showed an increased trend per country, especially for the United States (p < 0.001) and year (p < 0.001). The citations per year showed significant differences between citations of articles published before 2007 (p < 0.001). The year was also linked to the increase or decrease of articles (72.2%) and reviews (14.9%) (p < 0.001). The analysis of journal co-citations also showed that the main journals (such as Infection Control and Hospital Epidemiology) were linked to other important journals and had a major part in the clusters formed. All these findings were discussed in the manuscript and conclusions were drawn.

scholarly journals Current States and Future Trends in Safety Research of Construction Personnel: A Quantitative Analysis Based on Social Network Approach

2021 ◽  
Vol 18 (3) ◽  
pp. 883
Author(s):  
Xiangcheng Meng ◽  
Alan H. S. Chan
Keyword(s):  
Social Network ◽  
Path Analysis ◽  
Construction Industry ◽  
Occupational Safety ◽  
Future Trends ◽  
Network Approach ◽  
Main Path ◽  
Safety Research ◽  
Main Path Analysis ◽  
Social Network Approach

The construction industry is recognized as a high-risk industry given that safety accidents and personnel injuries frequently occur. This study provided a systematic and quantitative review of existing research achievements by conducting social network approach to identify current states and future trends for the occupational safety of construction personnel. A total of 250 peer-reviewed articles were collected to examine the research on safety issues of workers in construction industry. Social network approach was applied to analyze the interrelationship among authors, keywords, and citations of these articles using VOS viewer and CitNetExplorer. A knowledge structure map was drawn using main path analysis (MPA) towards the collected papers, which was implemented by Pajek. In line with the findings of social network analysis, five research groups, and six keyword themes were identified in accordance with the times of cooperation of researchers and correlation among keywords of the papers. Core papers were identified by using main path analysis for each research domain to represent the key process and backbone for the corresponding area. Based on the finding of the research, significant implications and insights in terms of current research status and further research trends were provided for the scholars, thus helping generate a targeted development plan for occupational safety in construction industry.

scholarly journals First record of Euxestonotus error (Hymenoptera: Platygastridae) in the Pacific Northwest, United States of America

2016 ◽  
Vol 148 (5) ◽  
pp. 616-618 ◽  
Author(s):  
E.R. Echegaray ◽  
R.N. Stougaard ◽  
B. Bohannon
Keyword(s):  
United States ◽  
New York ◽  
Pacific Northwest ◽  
United States Of America ◽  
First Record ◽  
The United States ◽  
Sitodiplosis Mosellana ◽  
Wheat Midge ◽  
The Pacific ◽  
Northwestern Montana

AbstractEuxestonotus error (Fitch) (Hymenoptera: Platygastridae) is considered part of the natural enemy complex of the wheat midge Sitodiplosis mosellana (Géhin) (Diptera: Cecidomyiidae). Although previously reported in the United States of America, there is no record for this species outside the state of New York since 1865. A survey conducted in the summer of 2015 revealed that E. error is present in northwestern Montana and is likely playing a role in the suppression of wheat midge populations.

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