scholarly journals What About the Rest of Them? Fatal Injuries Related to Production Agriculture Not Captured by the Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries (CFOI)

2021 ◽  
Author(s):  
Bryan Weichelt ◽  
Erika Scott ◽  
Rick Burke ◽  
John Shutske ◽  
Serap Gorucu ◽  
...  
Keyword(s):  
Occupational Injuries ◽  
Labor Statistics ◽  
Production Agriculture ◽  
Bureau Of Labor Statistics ◽  
Fatal Injuries

scholarly journals Morbidity and Mortality from Farm Tractor and Other Agricultural Machinery-Related Injuries in Arkansas

2018 ◽  
Vol 24 (4) ◽  
pp. 213-225
Author(s):  
Victor M. Cardenas ◽  
Ruiqi Cen ◽  
Melissa M. Clemens ◽  
Jennifer L. Conner ◽  
Jennifer L. Victory ◽  
...  
Keyword(s):  
Injury Risk ◽  
Occupational Injuries ◽  
Search Algorithm ◽  
Descriptive Analysis ◽  
Agricultural Machinery ◽  
Hospital Records ◽  
Farm Tractor ◽  
Increased Risk ◽  
Labor Statistics ◽  
Bureau Of Labor Statistics

Abstract. This study applied a text string search algorithm to ascertain suspect farm tractor or agricultural machinery-related injuries in data sources available for 2000-2014 in the state of Arkansas. The occurrences of tractor or other agricultural machinery-related injuries were compared with data available from the Centers for Disease Control and Prevention’s National Center for Health Statistics (NCHS) and the Bureau of Labor Statistics’ Census of Fatal Occupational Injuries (CFOI). For death certificates that assigned an external cause of death, the authors first collected all those that were coded as related to agricultural machinery, based on search strings for occupation and industry and a description of how the injury occurred. They then inspected each case individually and removed those that were likely unrelated to agricultural machinery. This approach significantly increased (by 7.8 times) the number of suspect agricultural machinery-related fatalities compared to the number reported to CFOI, but there was only a 17% (not statistically significant) increase compared to NCHS. All hospital records with any discharge diagnosis coded as related to agricultural machinery were selected. Descriptive analysis of the fatalities and hospital records showed a significantly increased risk among men above retirement age, peaks during the summer, and an increased risk in the Mississippi delta region. About one-third of the agricultural machinery-related fatalities were due to overturns. The use of the algorithm can improve ascertainment of fatal agricultural machinery-related injuries in Arkansas. The death records were found to be rich in data on the circumstances of the injuries, which can be used to screen for tractor-related fatalities and, if confirmed, translated into action to improve the safety of Arkansas farmers. Keywords: Agricultural machinery, Farm, Farming, Injury, Risk, Statistics, Tractors.

easyBLS, a Tool for Querying Nonfatal Injury Information from United States Bureau of Labor Statistics Database

2017 ◽  
Vol 61 (1) ◽  
pp. 955-959
Author(s):  
Rong Huangfu ◽  
Robert Granzow ◽  
Sean Gallagher ◽  
Mark Schall
Keyword(s):  
United States ◽  
Data Visualization ◽  
High Efficiency ◽  
Occupational Injuries ◽  
Line Graph ◽  
The United States ◽  
United States Bureau ◽  
Labor Statistics ◽  
Bureau Of Labor Statistics ◽  
Nonfatal Injury

Every year, the United States Bureau of Labor Statistics (BLS) collects and publishes important information on the number and types of occupational injuries and illnesses affecting workers across all industries. Researchers, occupational safety and health professionals, epidemiologists and industry groups rely on this data to make conclusions about past, present, and future injury and illness trends. The data are also very important in determining the root causes of workplace injury and developing effective interventions. The BLS provides two web tools to query nonfatal injury data from the database. However, one of the tools is no longer functioning, while the other has relatively low query efficiency (more than twenty seconds per query) as tested in this study. Furthermore, there is no data visualization tool provided to help display the queried information. easyBLS (Desktop and web version) was developed to query information from the BLS database with relatively high efficiency (less than one second per query). This tool also provides two data visualization tools (line graph and map) to help users to better interpret the queried information. easyBLS web version is available to the public at http://easybls.pythonanywhere.com/ .

[Food Prices and the Bureau of Labor Statistics]: Rejoinder

1960 ◽  
Vol 33 (3) ◽  
pp. 285
Author(s):  
William H. Kruskal ◽  
Lester G. Telser
Keyword(s):  
Food Prices ◽  
Labor Statistics ◽  
Bureau Of Labor Statistics

A framework for the evaluation and use of alternative data in the Consumer Expenditure Surveys

1915 ◽  
Author(s):  
Laura Erhard ◽  
Brett McBride ◽  
Adam safir
Keyword(s):  
Strategic Plan ◽  
Consumer Expenditure ◽  
Quality Of Data ◽  
Additional Information ◽  
Complementary Role ◽  
Labor Statistics ◽  
Weighting Procedures ◽  
Bureau Of Labor Statistics ◽  
The U.S

As part of the implementation of its strategic plan, the U.S. Bureau of Labor Statistics (BLS) has increasingly studied the issue of using alternative data to improve both the quality of its data and the process by which those data are collected. The plan includes the goal of integrating alternative data into BLS programs. This article describes the framework used by the BLS Consumer Expenditure Surveys (CE) program and the potential these data hold for complementing data collected in traditional formats. It also addresses some of the challenges BLS faces when using alternative data and the complementary role that alternative data play in improving the quality of data currently collected. Alternative data can substitute for what is presently being collected from respondents and provide additional information to supplement the variables the CE program produces or to adjust the CE program’s processing and weighting procedures.

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