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Public Perception of Health Risks Related to Climate Change in Broward County, Florida
Title
Public Perception of Health Risks Related to Climate Change in Broward County, Florida.
Creator
Buck, Jeanmarie A. Steckler, Cameron, Mary, Florida Atlantic University, Dorothy F. Schmidt College of Arts and Letters, Department of Anthropology
Abstract/Description
Scholars agree that global climate change is a major threat to the physical environment, affecting all aspects of life on the planet. However, the general public do not feel that climate change is a major risk or threat, especially to humans. It is important to understand the public’s perception and opinions of climate change as it affects and influences the creation and passing of climate change adaptation and mitigation policies. Specifically, little is known about public perceptions in...
Show moreScholars agree that global climate change is a major threat to the physical environment, affecting all aspects of life on the planet. However, the general public do not feel that climate change is a major risk or threat, especially to humans. It is important to understand the public’s perception and opinions of climate change as it affects and influences the creation and passing of climate change adaptation and mitigation policies. Specifically, little is known about public perceptions in regards to the greater health risk imposed by global climate change. This study examines the public's perception of health risks related to climate change in Broward County, Florida by using mixed methods. An online survey was conducted along with in-person interviews with the general public and a physician. The study found majority of respondents to believe climate change affects health, but lacked an understanding of how it is harmful to their health. It also found that gender affects their perceptions and political ideology appears to have an effect, but the effect of socioeconomic status on their perceptions were unable to be determined at this time. Broward is just developing policies to adapt and mitigate the health effects of climate change.
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Date Issued
2017
PURL
http://purl.flvc.org/fau/fd/FA00004813, http://purl.flvc.org/fau/fd/FA00004813
Subject Headings
Environmental health--Florida--Broward County., Health risk assessment--Florida--Broward County., Human beings--Effect of climate on., Climatic changes--Health aspects., Social change--Health aspects., Global warming--Health aspects., Public health surveillance--Florida--Broward County.
Format
Document (PDF)
Predictive Models for Ebola using Machine Learning Algorithms
Title
Predictive Models for Ebola using Machine Learning Algorithms.
Creator
Jain, Abhishek, Agarwal, Ankur, Furht, Borko, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Identifying and tracking individuals affected by this virus in densely populated areas is a unique and an urgent challenge in the public health sector. Currently, mapping the spread of the Ebola virus is done manually, however with the help of social contact networks we can model dynamic graphs and predictive diffusion models of Ebola virus based on the impact on either a specific person or a specific community. With the help of this model, we can make more precise forward predictions of the...
Show moreIdentifying and tracking individuals affected by this virus in densely populated areas is a unique and an urgent challenge in the public health sector. Currently, mapping the spread of the Ebola virus is done manually, however with the help of social contact networks we can model dynamic graphs and predictive diffusion models of Ebola virus based on the impact on either a specific person or a specific community. With the help of this model, we can make more precise forward predictions of the disease propagations and to identify possibly infected individuals which will help perform trace – back analysis to locate the possible source of infection for a social group. This model will visualize and identify the families and tightly connected social groups who have had contact with an Ebola patient and is a proactive approach to reduce the risk of exposure of Ebola spread within a community or geographic location.
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Date Issued
2017
PURL
http://purl.flvc.org/fau/fd/FA00004919, http://purl.flvc.org/fau/fd/FA00004919
Subject Headings
Communicable diseases--Epidemiology., Public health surveillance., Ebola virus disease--Transmission., Machine learning., Computer algorithms., Virtual reality., Interactive multimedia., Computer graphics., History--Graphic methods., Historiography--Technological innovations.
Format
Document (PDF)