Online dashboards for SARS-CoV-2 wastewater data need standard best practices: An environmental health communication agenda

The COVID-19 pandemic has highlighted the benefits of wastewater surveillance to supplement clinical data. Numerous online information dashboards have been rapidly, and typically independently, developed to communicate environmental surveillance data to public health officials and the public. In this study, we review dashboards presenting SARS-CoV-2 wastewater data and propose a path toward harmonization and improved risk communication. A list of 127 dashboards representing 27 countries was compiled. The variability was high and encompassed aspects including the graphics used for data presentation (e.g., line/bar graphs, maps, and tables), log versus linear scale, and 96 separate ways of labeling SARS-CoV-2 wastewater concentrations. Globally, dashboard presentations also differed by region. Approximately half of the dashboards presented clinical case data, and 25% presented variant monitoring. Only 30% of dashboards provided downloadable source data. While any single dashboard is likely useful in its own context and locality, the high variation across dashboards at best prevents optimal use of wastewater surveillance data on a broader geographical scale and at worst could lead to risk communication issues and the potential for public health miscommunication. There is a great opportunity to improve scientific communication through the adoption of uniform data presentation conventions, standards, and best practices in this field

Standardizing data reporting in the research community to enhance the utility of open data for SARS-CoV-2 wastewater surveillance

SARS-CoV-2 RNA detection in wastewater is being rapidly developed and adopted as a public health monitoring tool worldwide. With wastewater surveillance programs being implemented across many different scales and by many different stakeholders, it is critical that data collected and shared are accompanied by an appropriate minimal amount of meta-information to enable meaningful interpretation and use of this new information source and intercomparison across datasets. While some databases are being developed for specific surveillance programs locally, regionally, nationally, and internationally, common globally-adopted data standards have not yet been established within the research community. Establishing such standards will require national and international consensus on what meta-information should accompany SARS-CoV-2 wastewater measurements. To establish a recommendation on minimum information to accompany reporting of SARS-CoV-2 occurrence in wastewater for the research community, the United States National Science Foundation (NSF) Research Coordination Network on Wastewater Surveillance for SARS-CoV-2 hosted a workshop in February 2021 with participants from academia, government agencies, private companies, wastewater utilities, public health laboratories, and research institutes. This report presents the primary two outcomes of the workshop: (i) a recommendation on the set of minimum meta-information that is needed to confidently interpret wastewater SARS-CoV-2 data, and (ii) insights from workshop discussions on how to improve standardization of data reporting

Minimizing Errors in RT-PCR Detection and Quantification of SARS-CoV-2 RNA for Wastewater Surveillance

Wastewater surveillance for pathogens using the reverse transcription-polymerase chain reaction (RT-PCR) is an effective, resource-efficient tool for gathering additional community-level public health information, including the incidence and/or prevalence and trends of coronavirus disease-19 (COVID-19). Surveillance of SARS-CoV-2 in wastewater may provide an early-warning signal of COVID-19 infections in a community. The capacity of the world’s environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is rapidly increasing. However, there are no standardized protocols nor harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can lead to false-positive and -negative errors in the surveillance of SARS-CoV-2, culminating in recommendations and strategies that can be implemented to identify and mitigate these errors. Recommendations include, stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, amplification inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly during a low incidence of SARS-CoV-2 in wastewater. Corrective and confirmatory actions must be in place for inconclusive and/or potentially significant results (e.g., initial onset or reemergence of COVID-19 in a community). It will also be prudent to perform inter-laboratory comparisons to ensure results are reliable and interpretable for ongoing and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance was demonstrated during this global crisis. In the future, wastewater will play an important role in the surveillance of a range of other communicable diseases.Highlights: Harmonized QA/QC procedures for SARS-CoV-2 wastewater surveillance are lacking; Wastewater analysis protocols are not optimized for trace analysis of viruses; False-positive and -negative errors have consequences for public health responses; Inter-laboratory studies utilizing standardized reference materials and protocols are needed.info:eu-repo/semantics/publishedVersio

Modeling Food Security, Energy, and Climate and Cultural Impacts of a Process: the Case Study of Shea Butter in Sub-Saharan Africa

Millions of people in the world, particularly women and people in sub-Saharan Africa, suffer from hunger and poverty. Three of the major 2015-2030 United Nation’s Sustainable Development Goals (SDGs) aim to eliminate hunger through food security and sustainable agriculture, eradicate poverty, and achieve gender equality through women’s empowerment. Shea trees and their associated fruit and butter can play a major role in each of these three SDGs for women and their families throughout sub-Saharan Africa. Shea trees are located over a wide expanse stretching more than 5,000 kilometers across over eighteen countries in sub-Saharan Africa. These trees produce fruit that encase a kernel within a nut from which shea butter can be extracted. Shea butter production is unique in that it is predominately controlled by women and they utilize the profits they earn from selling the nuts or butter for items to support their families such as purchasing grain for depleted stores during the hungry season and paying for children’s school fees or clothing. Shea butter is also cited as a sustainable oil compared to other world oils such as peanut, palm, soybean, or cocoa butter which require heavy land use land change and fertilization while shea trees often grow in existing fields or fallows without fertilization, application of pesticides, or clear cutting of forests. However, shea butter production is still human and material energy intensive, requiring substantial amounts of firewood to heat and dry the shea nuts and the shea tree distribution and associated shea butter production and role in African livelihoods is under threat from the increasing effects of globalization and climate change. Thus, this dissertation fills in important research gaps in the existing literature on shea (Vitellaria paradox and nilotica) and sustainable development by developing and implementing methods to model food security, energy, and climate and cultural impacts of a process using shea butter production as a case study. To begin, the first comprehensive shea tree land suitability model to estimate potential shea production and amount of women collectors was created using Geographic Information Systems (GIS) that combined eight parameters: land use, temperature, precipitation, elevation, Normalized Difference Vegetation Index (NDVI), soil-type and soil-drainage. Even under conservative estimates, the model produced an extensive shea tree suitability area of 3.4 million square kilometers with 1.8 billion trees in 23 countries and over 18 million women collectors, encompassing a total population of 112 million. Next, this dissertation improved the global application of Life Cycle Assessment (LCA), a tool used to measure the entire environmental impacts of a process from extraction of materials through end-of-life stages, by utilizing a hybrid-LCA methodology that incorporated human energy and embodied energy and emissions from firewood of five traditional and improved shea butter production processes common throughout West Africa. When the LCA results of shea butter production were compared to other LCA studies of world oils, shea butter performed better in abiotic depletion and human toxicity impact categories as well as global warming potential when indirect land use land change was considered. Nevertheless, a large amount of human and firewood embodied energy and emissions were involved in shea butter production. However, mechanization of certain production steps was found to significantly reduce human energy without increasing total embodied energy. Furthermore, improved cookstoves modeled in this dissertation could reduce global warming potential, human toxicity, and embodied energy by 77-78%, 15-83%, and 52% respectively. These results would not have been captured in traditional LCA methodology and this was the first study to compare process-based and economic input-output LCAs in a developing country with very different reliance on and accessibility to resources than developed countries. Finally, an in-depth ethnographic study was conducted in this dissertation, combining qualitative and quantitative methods to better understand the importance of shea butter to African’s livelihoods in the context of food security and climate change. Shea butter was found to have a vital role in the maintenance and development of social bonds between female friends and family as well as an integral role in all religious and traditional ceremonies including a special shea ceremony. Additionally, 93% of survey respondents agreed there has been a decrease in shea fruit yields during their life time, 80% of which believed this was attributed to decreased rainfall. Moreover, 83% of 181 shea trees sampled were found to have an invasive vine species, drying out and/or have large worms. Therefore, recommendations derived from this dissertation for development agencies, governments and industry include further research on and promotion of: parkland management, preservation, and regeneration as well as reduction in the amount of human energy and firewood in shea butter production by providing better access of women collectors to mechanization, improved cookstoves, and transportation (i.e. donkey carts and bicycles) for harvesting shea fruit. Overall the research developed in this dissertation contributed significantly to the existing literature on shea and developed methods and a framework that has applications for achievement of the UN’s SDGs for 2030 particularly to obtain food security

Modeling Food Security, Energy, and Climate and Cultural Impacts of a Process: the Case Study of Shea Butter in Sub-Saharan Africa

Millions of people in the world, particularly women and people in sub-Saharan Africa, suffer from hunger and poverty. Three of the major 2015-2030 United Nation’s Sustainable Development Goals (SDGs) aim to eliminate hunger through food security and sustainable agriculture, eradicate poverty, and achieve gender equality through women’s empowerment. Shea trees and their associated fruit and butter can play a major role in each of these three SDGs for women and their families throughout sub-Saharan Africa. Shea trees are located over a wide expanse stretching more than 5,000 kilometers across over eighteen countries in sub-Saharan Africa. These trees produce fruit that encase a kernel within a nut from which shea butter can be extracted. Shea butter production is unique in that it is predominately controlled by women and they utilize the profits they earn from selling the nuts or butter for items to support their families such as purchasing grain for depleted stores during the hungry season and paying for children’s school fees or clothing. Shea butter is also cited as a sustainable oil compared to other world oils such as peanut, palm, soybean, or cocoa butter which require heavy land use land change and fertilization while shea trees often grow in existing fields or fallows without fertilization, application of pesticides, or clear cutting of forests. However, shea butter production is still human and material energy intensive, requiring substantial amounts of firewood to heat and dry the shea nuts and the shea tree distribution and associated shea butter production and role in African livelihoods is under threat from the increasing effects of globalization and climate change. Thus, this dissertation fills in important research gaps in the existing literature on shea (Vitellaria paradox and nilotica) and sustainable development by developing and implementing methods to model food security, energy, and climate and cultural impacts of a process using shea butter production as a case study. To begin, the first comprehensive shea tree land suitability model to estimate potential shea production and amount of women collectors was created using Geographic Information Systems (GIS) that combined eight parameters: land use, temperature, precipitation, elevation, Normalized Difference Vegetation Index (NDVI), soil-type and soil-drainage. Even under conservative estimates, the model produced an extensive shea tree suitability area of 3.4 million square kilometers with 1.8 billion trees in 23 countries and over 18 million women collectors, encompassing a total population of 112 million. Next, this dissertation improved the global application of Life Cycle Assessment (LCA), a tool used to measure the entire environmental impacts of a process from extraction of materials through end-of-life stages, by utilizing a hybrid-LCA methodology that incorporated human energy and embodied energy and emissions from firewood of five traditional and improved shea butter production processes common throughout West Africa. When the LCA results of shea butter production were compared to other LCA studies of world oils, shea butter performed better in abiotic depletion and human toxicity impact categories as well as global warming potential when indirect land use land change was considered. Nevertheless, a large amount of human and firewood embodied energy and emissions were involved in shea butter production. However, mechanization of certain production steps was found to significantly reduce human energy without increasing total embodied energy. Furthermore, improved cookstoves modeled in this dissertation could reduce global warming potential, human toxicity, and embodied energy by 77-78%, 15-83%, and 52% respectively. These results would not have been captured in traditional LCA methodology and this was the first study to compare process-based and economic input-output LCAs in a developing country with very different reliance on and accessibility to resources than developed countries. Finally, an in-depth ethnographic study was conducted in this dissertation, combining qualitative and quantitative methods to better understand the importance of shea butter to African’s livelihoods in the context of food security and climate change. Shea butter was found to have a vital role in the maintenance and development of social bonds between female friends and family as well as an integral role in all religious and traditional ceremonies including a special shea ceremony. Additionally, 93% of survey respondents agreed there has been a decrease in shea fruit yields during their life time, 80% of which believed this was attributed to decreased rainfall. Moreover, 83% of 181 shea trees sampled were found to have an invasive vine species, drying out and/or have large worms. Therefore, recommendations derived from this dissertation for development agencies, governments and industry include further research on and promotion of: parkland management, preservation, and regeneration as well as reduction in the amount of human energy and firewood in shea butter production by providing better access of women collectors to mechanization, improved cookstoves, and transportation (i.e. donkey carts and bicycles) for harvesting shea fruit. Overall the research developed in this dissertation contributed significantly to the existing literature on shea and developed methods and a framework that has applications for achievement of the UN’s SDGs for 2030 particularly to obtain food security

Assessing Appropriate Technology Handwashing Stations in Mali, West Africa

Proper hand hygiene is the most effective and efficient method to prevent over 1.3 million deaths annually from diarrheal disease and Acute Respiratory Infections (ARIs). Hand hygiene is also indispensable in achieving the fourth Millennium Development Goal (MDG) to reduce the childhood mortality rate by 2/3rds between 1990 and 2015. Handwashing has been found in a systematic review of studies to reduce diarrhea by 47%#37; and is, thus, capable of preventing a million deaths (Curtis et. al., 2003). Despite this evidence, hand washing rates remain seriously low in the developing world (Scott et al., 2008). This study developed and implemented a comprehensive monitoring strategy of five usage variables (i.e., soap usage, functionality, presence of cleansing agent, ground wetness under station, amount of water in the jug) for 42-64 appropriate technology handwashing stations. These stations were monitored throughout 2011-2013 in two communities in Mali, West Africa. Statistically significant (p \u3c 0.05) results include: 1) a 29%#37; decrease in soap usage from dry (October-June) to rainy seasons (July-September), 2) 35%#37; decrease in stations with presence of cleansing agent between 2011 and 2012, 3) higher station usage for stations in households with higher scores on the Progress out of Poverty Index® , 4) 27%#37; less of the stations far from a water source (35 meters-172 meters away) had a cleansing agent present than stations close to a water source (less than 35 meters) during the rainy season. Station usage also differed based on gender of the handwashing station owner in the two communities where stations built by women were used more in Zeala than those in Nci\u27bugu. In contrast to Zeala, handwashing stations built by men in Nci\u27bugu had higher soap usage and usage variable proportions than those built by women. Handwashing training and promotions resulted in 98%#37; of households reporting that they wash their hands with soap in 2012 from 0%#37; in 2011. Altogether, this study designed and implemented a robust monitoring system that succeeded in quantifying handwashing station usage for over two years. In-depth analysis of the data established six sustainability factors for handwashing stations (gender, training, water, seasonality, wealth, and monitoring) that are critical for lasting handwashing behavior change and successful hygiene interventions to save lives

Exploring the Expanding Impact of a Sustainable Development Engineering Course Through a Critical Evolutionary Review

Exploring the Expanding Impact of a Sustainable Development Engineering Course Through a Critical Evolutionary Review A Sustainable Development Engineering course (cross listed in the College of PublicHealth as Water Pollution and Treatment) has evolved over seven years at this university toincorporate interdisciplinary groups of graduate students to engage in critical thinking andproblem solving. The objectives of the course are to 1) apply engineering fundamentals andappropriate technology in design, construction, operation, and maintenance of engineeringprojects that serve people living in the developing world and smaller communities in the U.S.,2) learn how community-based engineering projects fit into larger, global issues of sustainabledevelopment, 3) develop an understanding of the important inter-relationship of public healthand engineering; 4) incorporate environmental, societal, and economic considerations andcommunity participation into engineering practice. As part of the Sustainable Development Engineering course, interdisciplinary groups areexpected to collaborate with community partners and produce a valuable suite of deliverablesincluding a construction project, a multimedia presentation, and a project proposal to communitystakeholders. The relationship is mutually beneficial—students provide on-site skilled labor,visually powerful multi-media presentations, and high quality project proposals for thecommunity; in return, the students create project deliverables that act as a professional product todisplay the knowledge and skills they have developed during the course. In addition, eachdeliverable integrates varying levels of partnership with the community, sharpening theirteamwork and cross-cultural global competencies. Furthermore, a reinforcing loop has emergedover the years of the course’s evolution as former students have become instructors for thecourse, grafting their field experience into lectures and community partnershipdevelopment. This affords instructors opportunities to improve skills in lesson planning,instructing, and classroom management. Because of the valuable and broadening impact of the class, the purpose of this paper isto investigate the course evolution over the past seven years and the manner in which the coursechanges have translated into an expanding impact. This will be achieved through a comparisonand critical reflection of previous syllabi in conjunction with class goals, global competencies,and engineering education literature

Using Social Media to Create a Global Community of Sustainability-Engaged Students

Using Social Media to Create a Global Community of Sustainability- Engaged Students Programs that enable engineering students to study outside of the United States have been effectively integrated with engineering education (Trotz et al., 2009). These programs are exposing students to global concepts of sustainability (Hokanson et al., 2007) and helping them develop core competencies in engineering while simultaneously building higher cognitive levels in some skills and in attitudes and identity outcomes (Bielefeldt et al., 2010). However, not every student can travel outside of the country. Social networking sites, such as Twitter, have not only been embraced by students from younger generations, they are also being used to communicate science (Darling et al. 2013). This study seeks to answer the question: can social media be used to create a global community of students that are engaged in learning about sustainability? In 2013, the University of South Florida (USF) and the University of the Virgin Islands (UVI) launched “Reclaim” as a way to create a community that connects researchers around the world from different disciplines who are dedicated to the recovery of resources from waste. “Reclaim” utilizes a website (usf-reclaim.org) with a blog, a YouTube channel (youtube.com/usfreclaim),and a Twitter account (@USF_Reclaim) to create this global community and disseminate research findings and educational materials. In addition, a one-credit course is currently being offered to students from USF and UVI, designed to operate entirely through the use of the sesocial networking platforms. The overall purpose of the course is to inform students about the professional meaning of sustainability across different disciplines, and help them develop skillsets to become globally competent in science and engineering, with a particular focus on sustainable engineered, environmental, and social systems. Each week, one or two students produce a 10-15 minute video and select reading materials related to a topic selected by the course professor. Case studies are used to explore interdisciplinary solutions to context-sensitive systems. The responsible students host a Twitter chat each week about the topic covered in the video, the readings, or the case study. The content and substance of conversations taking place during weekly Twitter discussions and the interaction between students in different geographic locations and from different disciplines is currently being measured. After the first four weeks, the Twitter chats have seen participate on from over 40 people from different disciplines (engineering, anthropology, education, philosophy, marine science, biochemistry, and microbiology) representing nine different universities in the United States, the U.S. Virgin Islands, Czech Republic, the Netherlands, Bolivia, and the United Kingdom. Analysis of YouTube analytics data and data from the Twitter chats suggests several findings: 1) participants from outside of the United States are viewing online material for a longer period of time on average than participants from the United States; 2)most students used Twitter infrequently before the course and none of them used it in this way;3) while multiple conversational strands occur simultaneously in the Twitter discussions, participants maintain conversations for up to nine turns over a 15 minute time interval; 4) content analysis of tweets suggests that most tweets are structured as reasoned claims with some arguments framed as syllogisms; and 5) new conversational strands have emerged during Twitter chats as participants asked questions that either challenged a comment made by others in a tweet or requested clarification of points