Smart Computing and Sensing Technologies for Animal Welfare: A Systematic Review

Animals play a profoundly important and intricate role in our lives today. Dogs have been human companions for thousands of years, but they now work closely with us to assist the disabled, and in combat and search and rescue situations. Farm animals are a critical part of the global food supply chain, and there is increasing consumer interest in organically fed and humanely raised livestock, and how it impacts our health and environmental footprint. Wild animals are threatened with extinction by human induced factors, and shrinking and compromised habitat. This review sets the goal to systematically survey the existing literature in smart computing and sensing technologies for domestic, farm and wild animal welfare. We use the notion of \emph{animal welfare} in broad terms, to review the technologies for assessing whether animals are healthy, free of pain and suffering, and also positively stimulated in their environment. Also the notion of \emph{smart computing and sensing} is used in broad terms, to refer to computing and sensing systems that are not isolated but interconnected with communication networks, and capable of remote data collection, processing, exchange and analysis. We review smart technologies for domestic animals, indoor and outdoor animal farming, as well as animals in the wild and zoos. The findings of this review are expected to motivate future research and contribute to data, information and communication management as well as policy for animal welfare

Monitoring Environmental Trends In Levels of Influenza Virus and SARS-COV-2 in Prescott, AZ

Every year, the Centers for Disease Control and Prevention and state health agencies collect surveillance data for cases of influenza. During the flu season of 2019, SARSCoV- 2, which causes the symptoms known as COVID-19, caused a global pandemic. In turn, the surveillance and testing data showed a dramatic drop in influenza case numbers compared to previous years. Influenza is one of the deadliest viruses in human history, so it seems unlikely that this drastic change would occur due to the emergence of a similar virus. This research is designed to show that the prevalence of influenza in the community of Prescott, Arizona is much the same as during most flu seasons and is comparable to the prevalence of SARS-CoV-2. To do so, environmental sampling of a gas station, courthouse, urgent care center, a Walmart and a university library was conducted to obtain a base-level of viral RNA present on various highly touched surfaces throughout the fall and winter viral respiratory season, which runs from October through April each year. RNA extraction to isolate the viral RNA present in the environment was performed. Levels of viral RNA present were quantified through real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR). The results of the RT-qPCR will be interpreted to quantify the levels of influenza and SARS-CoV-2 RNA present on the sampled environmental surfaces. This data will be compared to an analysis of the public health data throughout the 2021-2022 viral respiratory season