Environmental, public health, and economic development perspectives at a Superfund site: A Q methodology approach

Cooper, Courtney; Wardropper, Chloe B.

doi:10.1016/j.jenvman.2020.111571

Cited by 7 publications

(4 citation statements)

References 36 publications

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“…How may the management of this industry be improved? In comparison to other public utilities and public services, the use of systematic research and theory to assist and guide the sector is more practical [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Internet of Things and Naive Bayes in Public Health Environmental Management of Government Institutions in China

Zhang

2021

Journal of Healthcare Engineering

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As the builder and maintainer of the city appearance and environment, the city appearance and environmental service industry provides urban residents with a beautiful, livable, and comfortable living environment and is also responsible for providing city appearance and environmental public health services for the economic and social functions carried by the global cities task. Based on this problem, this study has carried out the work of government agencies’ public health environmental management and influencing factors based on the Internet of Things and edge computing. This study analyzes the influencing factors of public health environmental management of government agencies based on traditional research and conducts data analysis through the Naive Bayes algorithm. On this basis, the study combines the Internet of Things technology to construct system architecture for public health environmental management. The proposed management system is used to manage government agencies, which meets security, privacy and efficiency, and data security requirements. Experimental results prove that after algorithm optimization and architecture design, the evaluation level of the public health environment is significantly improved.

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Section: Introductionmentioning

confidence: 99%

Application of Internet of Things and Naive Bayes in Public Health Environmental Management of Government Institutions in China

Zhang

2021

Journal of Healthcare Engineering

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“…One indicator of the success or failure of development in the health sector is the public health condition itself. The easiest thing is how many people experience complaints about their health (Cooper & Wardropper, 2021). The higher the number of people who still experience complaints of illness, the health development in that area is still not being carried out optimally.…”

Section: Number Of Doctors and Nurses In Person Number Of Hospitals mentioning

confidence: 99%

Government Budget, and Health Insurance for Public Health in East Java Province

Kristiyanto

2021

Mediatrend

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One of the conditions needed for development to be carried out properly is the condition of a healthy community. Without a healthy community, development in one area cannot be done well. Health itself is more a public good than a private good, so in this case government intervention is absolutely necessary. This research tries to look at several factors which are predicted to be able to influence the condition of public health. Some of these factors are the availability of infrastructure in the health sector, the government budget and public participation in health insurance issued by the government. Using data between 2017 and 2019 in 38 districts in East Java Province, it was found that only the public participation variable in health insurance issued by the government had a positive and significant impact, while the other variables did not affect the health condition of the community. The behavior of people in Indonesia who tend to register for health insurance if they have experienced health problems is one indication of a positive relationship between public health conditions and the number of participants in government health insurance.

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“…Many of the deaths were undocumented, as are their lives, and many infected patients could not make it to the hospital before they succumbed from the disease. Within the United States, researchers have found that 70 percent of the Superfund Cleanup sites are near subsidized housing, directly necessitating the application of location intelligence who also have been shown to experience lower life expectancy [ 21 ]. Funding for cleanup has decreased over the years due to the fact that the companies responsible for the toxic waste are no longer paying transferring responsibility to the government which has resulted in halting some of the cleanup efforts.…”

Section: Introductionmentioning

confidence: 99%

Transforming Social Determinants to Educational Outcomes: Geospatial Considerations

et al. 2022

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In recovering from one of the worst educational crises in recorded history due to the pandemic, in a mission to rebuild and become more resilient, there has been a heightened urgency to provide resources to communities most in need. However, precisely identifying those needs have become all the more important due to the increase in popularity of e-learning as a suitable option and the improvement of technologies. Most notably, socially disadvantaged and historically marginalized communities were disproportionately and severely impacted by several aspects of the pandemic, in terms of health, economics, access to education, and sustainable well-being. This differential effect was modeled spatially with the combination of aerial photogrammetry, traditional geospatial mapping, and other robust AI-driven techniques to synthesize and analyze the various types of data. In this original research study, we apply various spatial health variables, relate them to educational variables in an initial empirical process of understanding how to address equity-related considerations from the context of the learner’s experience, providing the empirical evidence for the development of locally tailored learner support and assistance, meeting students where they are by specifically identifying and targetting geographically undeserved areas. We found that there were clear statistically significant relationships between educational attainment and several physical (p < 0.001), mental (p = 0.003), access to healthy food/food security (p < 0.001), and uptake of preventative health measures (p < 0.001), which also varied geographically. Geographic variations in learning experiences demonstrates the unquestionable need to understand a variety of physical, mental, and dietary factors surrounding the student’s success. Understanding a combination of these factors in a geospatial context will allow educational institutions to best serve the needs of learners.

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Environmental, public health, and economic development perspectives at a Superfund site: A Q methodology approach

Cited by 7 publications

References 36 publications

Application of Internet of Things and Naive Bayes in Public Health Environmental Management of Government Institutions in China

Application of Internet of Things and Naive Bayes in Public Health Environmental Management of Government Institutions in China

Government Budget, and Health Insurance for Public Health in East Java Province

Transforming Social Determinants to Educational Outcomes: Geospatial Considerations

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