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As construction and building methods advance so should their focus on reconstruction post-natural disasters. For the past 50 years there has been an average of 6.2 hurricanes making landfall, and several recent unfortunate occurrences in the past year that have caused immeasurable damage and taken priceless lives (Chris Landsea 2017).

As construction and building methods advance so should their focus on reconstruction post-natural disasters. For the past 50 years there has been an average of 6.2 hurricanes making landfall, and several recent unfortunate occurrences in the past year that have caused immeasurable damage and taken priceless lives (Chris Landsea 2017). Damages could have been significantly reduced to residential homes and lives saved if proper, hurricane-resistant construction was used. It is important to continue advancement in efficient planning and reconstructive methods to restore individuals into their homes and ensure their safety in the future. Utilizing tested resilient building methods may increase construction costs but has a visible payoff through mitigation of economic losses in the future. This can also help develop response and mitigation plans based on the very specific conditions of each community or affected location. To do so, it is crucial to continue research and test various methods of construction and materials in residential homes. This study was a comparative analysis of the current roof systems implemented in residential homes, the role of hurricane testing facilities in maintaining building codes, and how damage incurred by hurricanes can be significantly reduced through a shift in the approach of homeowner insurance incentive. The purpose of this study was to provide a feasible and practicable solution for increasing implementation of hurricane resistant construction into homes. The results of this analysis concluded that there is a low percentage of homeowners investing in making their homes hurricane resilient. By re-inventing the incentive methods that insurance companies offer, this problem can step into the right direction in making more homes hurricane resilient consequently reducing damages, deaths, and economic loss.
ContributorsVarkalaite, Migle (Author) / Sullivan, Kenneth (Thesis director) / Ayer, Steven (Committee member) / School of International Letters and Cultures (Contributor) / Del E. Webb Construction (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
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For the past decade, mobile health applications are seeing greater acceptance due to their potential to remotely monitor and increase patient engagement, particularly for chronic disease. Sickle Cell Disease is an inherited chronic disorder of red blood cells requiring careful pain management. A significant number of mHealth applications have been

For the past decade, mobile health applications are seeing greater acceptance due to their potential to remotely monitor and increase patient engagement, particularly for chronic disease. Sickle Cell Disease is an inherited chronic disorder of red blood cells requiring careful pain management. A significant number of mHealth applications have been developed in the market to help clinicians collect and monitor information of SCD patients. Surveys are the most common way to self-report patient conditions. These are non-engaging and suffer from poor compliance. The quality of data gathered from survey instruments while using technology can be questioned as patients may be motivated to complete a task but not motivated to do it well. A compromise in quality and quantity of the collected patient data hinders the clinicians' effort to be able to monitor patient's health on a regular basis and derive effective treatment measures. This research study has two goals. The first is to monitor user compliance and data quality in mHealth apps with long and repetitive surveys delivered. The second is to identify possible motivational interventions to help improve compliance and data quality. As a form of intervention, will introduce intrinsic and extrinsic motivational factors within the application and test it on a small target population. I will validate the impact of these motivational factors by performing a comparative analysis on the test results to determine improvements in user performance. This study is relevant, as it will help analyze user behavior in long and repetitive self-reporting tasks and derive measures to improve user performance. The results will assist software engineers working with doctors in designing and developing improved self-reporting mHealth applications for collecting better quality data and enhance user compliance.
ContributorsRallabhandi, Pooja (Author) / Gary, Kevin A (Thesis advisor) / Gaffar, Ashraf (Committee member) / Bansal, Srividya (Committee member) / Amresh, Ashish (Committee member) / Arizona State University (Publisher)
Created2017