Ted Smith
University of Louisville
56 Papers
132 Citations
Ted Smith is an academic researcher from University of Louisville. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 12, co-authored 34 publications. Previous affiliations of Ted Smith include Harvard University & CNET.
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Papers
Reconsidering Models of Influence: The Relationship between Consumer Social Networks and Word-of-Mouth Effectiveness
TL;DR: In this article, the authors explore the nature of social networks, their role in influence, and the characteristics of the most influential individuals and examine the characteristic of viral marketing messages, finding that most people are moderately connected and are as willing as the highly connected to share marketing messages with others.
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High-throughput sequencing of SARS-CoV-2 in wastewater provides insights into circulating variants.
Rafaela S. Fontenele,Simona Kraberger,James Hadfield,Erin M. Driver,Devin A. Bowes,LaRinda A Holland,Temitope Oluwasegun Cephas Faleye,Sangeet Adhikari,Rajesh Kumar,Rosa Inchausti,Wydale K. Holmes,Stephanie Deitrick,Philip Brown,Darrell Duty,Ted Smith,Aruni Bhatnagar,Ray Yeager,Rochelle H. Holm,Natalia Hoogesteijn von Reitzenstein,Elliott Wheeler,Kevin Dixon,Tim Constantine,Melissa A. Wilson,Efrem S. Lim,Xiaofang Jiang,Rolf U. Halden,Matthew Scotch,Arvind Varsani +27 more
TL;DR: In this article, a single-nucleotide variant (SNV) analysis was conducted on wastewater samples from 11 states in the USA, where the majority of samples represent Maricopa County, Arizona (USA).
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Wastewater surveillance of pathogens can inform public health responses
M. Diamond,Aparna Keshaviah,Ana I. Bento,Otakuye Conroy-Ben,Erin M. Driver,Katherine B. Ensor,Rolf U. Halden,Loren Hopkins,Katrin Gaardbo Kuhn,Christine L. Moe,Eric C. Rouchka,Ted Smith,Bradley S Stevenson,Zachary Susswein,Jason R. Vogel,Marlene K. Wolfe,Lauren B. Stadler,Samuel V. Scarpino +17 more
TL;DR: Wastewater monitoring has been used to identify SARS-CoV-2 outbreaks and track new variants and this sentinel system should be expanded to monitor other pathogens and boost public health preparedness as mentioned in this paper .
A machine learning approach to triaging patients with chronic obstructive pulmonary disease.
Sumanth Swaminathan,Klajdi Qirko,Ted Smith,Ethan Corcoran,Nicholas Wysham,Gaurav Bazaz,George Kappel,Anthony N. Gerber +7 more
TL;DR: A machine learning-based strategy for early detection of exacerbations and subsequent triage and the algorithm is the top performer in sensitivity, specificity, and ppv when predicting a patient’s need for emergency care.
Green environments and cardiovascular health.
TL;DR: Research into the health effects of greenness could provide new insights into the environmental determinants of CVD risk and could inform the development of actionable greenness-based strategies to prevent CVD and its clinical manifestations.
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