Patent protection creates an encouraging environment for innovation, but it can be a hindrance to the availability of new medications. There are many countries that still harbor this competition while ensuring that all citizens have access to these medications. There are downsides to certain patent systems, but with a few modifications they can be remedied to achieve the highest level of access, quality of care, and best cost for the insured. In most of the countries reviewed, the patent system is thoroughly regulated with the consumers in mind. There are opportunities for manufacturers to create generic and cost effective medications within the typical patent protection timeline to ensure access to new medications. The systems that are in place encourage innovation with medical devices and medication by providing incentives for the researchers.

Antibiotic resistance is a growing crisis across the globe. With the use of antibiotics in heathcare settings in an ever-growing population, the growth of antibiotic resistance has been named a top 10 global public health threat by the World Health Organization. Through an analysis of 6 countries; Mexico, China, the United States, India, Saudi Arabia, and Ethiopia, I look at the current implementation of policy and contributing factors to the use and abuse of antibiotics within the country. Through my research, I was able to find knowledge, behaviors, and a lack of enforcement to be the main contributors to the growing antibiotic crisis. Based on the evidence, I suggested three policies that focused on treatment, prevention, or economic assistance in an effort to combat the antibiotic crisis on a global scale. With socio-economic factors in mind as well as sustainability of policy, the evidence pointed in the direction of a three-pronged approach on prevention with education, policy enforcement, and a global database to minimize the growth of antibiotic resistance as well as improve public health at a global level.

As much as SARS-CoV-2 has altered the way humans live since the beginning of 2020, this virus's deadly nature has required clinical testing to meet 2020's demands of higher throughput, higher accuracy and higher efficiency. Information technology has allowed institutions, like Arizona State University (ASU), to make strategic and operational changes to combat the SARS-CoV-2 pandemic. At ASU, information technology was one of the six facets identified in the ongoing review of the ASU Biodesign Clinical Testing Laboratory (ABCTL) among business, communications, management/training, law, and clinical analysis. The first chapter of this manuscript covers the background of clinical laboratory automation and details the automated laboratory workflow to perform ABCTL’s COVID-19 diagnostic testing. The second chapter discusses the usability and efficiency of key information technology systems of the ABCTL. The third chapter explains the role of quality control and data management within ABCTL’s use of information technology. The fourth chapter highlights the importance of data modeling and 10 best practices when responding to future public health emergencies.

Developing a vaccine during the midst of a pandemic requires a careful balance between <br/>speed, safety, and efficacy. For the COVID-19 pandemic, the U.S. implemented Operation Warp Speed to accelerate the timeline for vaccine development. The FDA also imposed specific guidelines for granting Emergency Use Authorization (EUA). As of April 1st, 2021, Operation Warp Speed resulted in three different vaccines receiving EUA, all of which are currently being administered to the public. However, the rapid production and changes in the approval process intensified public scrutiny on the safety and efficacy of the vaccine. This thesis analyzes the differences in fast-tracking a vaccine, which consolidated the authorization process into months rather than years, and delineates the main concerns of the public regarding the COVID-19 vaccine through a media analysis. Although the EUA raised questions about the safety of the vaccine, polls indicate that most Americans would still be willing to receive the vaccine.

This study examines the impact of spatial landscape configuration (e.g., clustered, dispersed) on land-surface temperatures (LST) over Phoenix, Arizona, and Las Vegas, Nevada, USA. We classified detailed land-cover types via object-based image analysis (OBIA) using Geoeye-1 at 3-m resolution (Las Vegas) and QuickBird at 2.4-m resolution (Phoenix). Spatial autocorrelation (local Moran’s I ) was then used to test for spatial dependence and to determine how clustered or dispersed points were arranged. Next, we used Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data acquired over Phoenix (daytime on 10 June and nighttime on 17 October 2011) and Las Vegas (daytime on 6 July and nighttime on 27 August 2005) to examine day- and nighttime LST with regard to the spatial arrangement of anthropogenic and vegetation features. Local Moran’s I values of each land-cover type were spatially correlated to surface temperature. The spatial configuration of grass and trees shows strong negative correlations with LST, implying that clustered vegetation lowers surface temperatures more effectively. In contrast, clustered spatial arrangements of anthropogenic land-cover types, especially impervious surfaces and open soil, elevate LST. These findings suggest that city planners and managers should, where possible, incorporate clustered grass and trees to disperse unmanaged soil and paved surfaces, and fill open unmanaged soil with vegetation. Our findings are in line with national efforts to augment and strengthen green infrastructure, complete streets, parking management, and transit-oriented development practices, and reduce sprawling, unwalkable housing development.

This study seeks to determine the role of land architecture—the composition and configuration of land cover—as well as cadastral/demographic/economic factors on land surface temperature (LST) and the surface urban heat island effect of Phoenix, Arizona. It employs 1 m National Agricultural Imagery Program data of land-cover with 120mLandsat-derived land surface temperature, decomposed to 30 m, a new measure of configuration, the normalized moment of inertia, and U.S. Census data to address the question for two randomly selected samples comprising 523 and 545 residential neighborhoods (census blocks) in the city. The results indicate that, contrary to most other studies, land configuration has a stronger influence on LST than land composition. In addition, both land configuration and architecture combined with cadastral, demographic, and economic variables, capture a significant amount of explained variance in LST. The results indicate that attention to land architecture in the development of or reshaping of neighborhoods may ameliorate the summer extremes in LST.

Objectives: To provide novel quantification and advanced measurements of surface temperatures (Ts) in playgrounds, employing multiple scales of data, and provide insight into hot-hazard mitigation techniques and designs for improved environmental and public health.

Methods: We conduct an analysis of Ts in two Metro-Phoenix playgrounds at three scales: neighborhood (1 km resolution), microscale (6.8 m resolution), and touch-scale (1 cm resolution). Data were derived from two sources: airborne remote sensing (neighborhood and microscale) and in situ (playground site) infrared Ts (touch-scale). Metrics of surface-to-air temperature deltas (Ts–a) and scale offsets (errors) are introduced.

Results: Select in situ Ts in direct sunlight are shown to approach or surpass values likely to result in burns to children at touch-scales much finer than Ts resolved by airborne remote sensing. Scale offsets based on neighbourhood and microscale ground observations are 3.8 ◦C and 7.3 ◦C less than the Ts–a at the 1 cm touch-scale, respectively, and 6.6 ◦C and 10.1 ◦C lower than touch-scale playground equipment Ts, respectively. Hence, the coarser scales underestimate high Ts within playgrounds. Both natural (tree) and artificial (shade sail) shade types are associated with significant reductions in Ts.

Conclusions: A scale mismatch exists based on differing methods of urban Ts measurement. The sub-meter touch-scale is the spatial scale at which data must be collected and policies of urban landscape design and health must be executed in order to mitigate high Ts in high-contact environments such as playgrounds. Shade implementation is the most promising mitigation technique to reduce child burns, increase park usability, and mitigate urban heating.

Natural gas development in the Northern Appalachian region has skyrocketed dramatically over the past decade. Correspondingly to the unprecedented growth rate of the natural gas industry, population health risks have shifted dramatically in response to both aerial and water pollution. With energy as a key input in all sectors of Appalachian life, the Pennsylvania region serves as a fascinating case study where clusters of unconventional gas drilling wells intersect varying population densities and governing laws to create different levels of health risks. Studies have found that horizontal hydraulic fracking corresponds to an increased risk of upper respiratory symptoms (URS), low birth weights, premature births, and certain cancers (White et al., 2009). Also, zoning and local planning laws are policy tools local governments can use to directly influence community wellbeing (Diez-Roux, 2011). This study will focus on the spatial relationship between upper respiratory symptoms (URS), a key volatile health benchmark, and the zoning/planning laws that the Oil and Natural Gas Industry must adhere to. Our project seeks to provide a preliminary understanding of the interplay between different natural gas zoning laws and the resulting health implication risks that appear in the Marcellus shale region of Pennsylvania. This is necessary to appropriately regulate and monitor hydraulic fracking. To get a better understanding of this phenomenon, spatial autocorrelation and analysis of variance statistics are integrated to generate a surface-level understanding of areas impacted by natural gas development. To guide the creation of our models, we geographically process the unconventional well locations, upper respiratory symptom health utilization, and zoning law data to develop insights that policymakers can take into consideration. Regionally, natural gas has become an integrated part of the energy sector and a driver of local economic development. The patterns drawn from this assessment provide a novel way of understanding the population health risks posed by different zoning ordinance models.

The influence of exercise on cognitive function is an important topic. This study examines the effects of different interventions on executive functioning, specifically on cognitive planning, which is a sub-category of executive function, in adults with Down syndrome. Research has shown that an acute bout of Assisted Cycle Therapy improved manual motor functioning, cognitive planning, and information processing in adolescents with Down syndrome but there is a lack of research when it comes to resistance training. Fourteen adults with Down syndrome completed acute sessions of Assisted Cycle Therapy, Resistance Training, and No Training. Cognitive planning was measured by the Tower of London test. The results show that cognitive planning can be improved following Assisted Cycle Therapy. An increase in cognitive planning was also present in the No Training group which may be a result of cognitive stimulating games that were played. In conclusion, this study suggests that teachers, therapists, etc. that work with adults with DS, should be sure to include a cognitive component in all activities.