A proposed classification code for farm and agricultural injuries.

Murphy, Dennis J.; Purschwitz, Mark A.; Mahoney, Beverly S.; Hoskin, A F

doi:10.2105/ajph.83.5.736

Cited by 18 publications

(16 citation statements)

References 3 publications

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“…Overall, the number has been relatively stable for each 2-year period. The 26 articles were published in eight journals, primarily the Journal of Agricultural Safety and Health (12), followed by the Journal of Agromedicine (4) …”

Section: Journalmentioning

confidence: 99%

Characteristics of Evaluated Childhood Agricultural Safety Interventions

Gallagher

2012

Journal of Agromedicine

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The goal of this paper was to examine interventions focused on childhood agricultural safety since the last general assessment conducted for the 2001 Summit on Childhood Agricultural Injury Prevention. The objectives were to identify the strengths and weaknesses of the knowledge base and identify challenges to and recommendations for improving programs, interventions, and policies. Published literature from 2001 to 2009 was identified and reviewed. We found 26 studies evaluating the effectiveness of interventions aimed at preventing farm-related injuries to children. There were mixed results in a number of studies, weak methods in many, and a lack of randomized controlled trials, in particular. Most interventions focused on the individual level of the socio ecological model and only on education as a strategy, with behavior change and knowledge acquisition as the objectives. Although more studies have been published in recent years, the quality of the research and intervention design has not necessarily improved. Based upon this review, key recommendations for future childhood agricultural safety interventions are proposed.

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Section: Journalmentioning

confidence: 99%

Characteristics of Evaluated Childhood Agricultural Safety Interventions

Gallagher

2012

Journal of Agromedicine

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“…One possible solution to this is to add more accessorial information into the identification code to ensure its uniqueness. Some studies have recommended a category attribute as the preferred supplement on account of its inherency and stability [38,39]. Nonetheless, automatic coding for categories is another problem, and the efficiency and accuracy of category encoding has yet to be confirmed.…”

Section: Limitations and Prospectsmentioning

confidence: 99%

An Improved Identification Code for City Components Based on Discrete Global Grid System

Cheng

et al. 2017

IJGI

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City components are important elements of a city, and their identification plays a key role in digital city management. Various identification codes have been proposed by different departments and systems over the years, however, their application has been partly hindered by the lack of a unified coding framework. The use of a code identifying a city component for unified management and geospatial computation across systems is still problematic. In this paper, we put forward an improved identification code for city components based on the discrete global grid system (DGGS). According to their spatial location, city components were identified with one-dimensional integer codes. The results illustrated that this identification code could express the location information of city components explicitly, as well as indicate the spatial distance relationship and the spatial direction relationship between different components. The experiment showed that this code performed better than traditional codes in data query and geospatial computation. Therefore, we concluded that this improved identification code was conducive to the more efficient management of city components, and hence might be used to improve digital city management.

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“…Due to the small number of women and minorities, our analysis was limited to white, male POs (who accounted for >99% of all POs). Of the 235 injuries, 85 injuries were not related to farm production work (i.e., these injuries were not FAIC-1 1 [Murphy et al, 1993]), 52 injuries pertained to individuals other than the PO, and 10 could not be included for other reasons (e.g., not white males or data were missing). A total of 88 injuries were, therefore, included in our analyses.…”

Section: Selection Of Cases and Controlsmentioning

confidence: 99%