Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Stephen L. Rathbun"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract The objective of this study was to evaluate the racial and ethnic disparities in delivery hospitalizations involving severe maternal morbidity (SMM) by location of residence and community income. We used the 2016 to 2019 Healthcare Cost and
Externí odkaz:
https://doaj.org/article/433e33c8e5c04659a02b3d25b7034299
Autor:
Sarah Annalise Sanders, Meredith L. Wallace, Lora E. Burke, Amanda L. Tapia, Stephen L. Rathbun, Andrea D. Casas, Tiffany L. Gary-Webb, Esa M. Davis, Dara D. Méndez
Publikováno v:
Preventive Medicine Reports, Vol 35, Iss , Pp 102320- (2023)
Black childbearing individuals in the US experience a higher risk of postpartum weight retention (PPWR) compared to their White counterparts. Given that PPWR is related to adverse health outcomes, it is important to investigate predictors of weight-r
Externí odkaz:
https://doaj.org/article/cc4ccd8b33db404894ffa3853cb55f9f
Autor:
Alexander C. Barnes, Stephen L. Rathbun, Sanjana Kuthyar, G. Baker Hubbard, Chris Bergstrom, Steven Yeh, Mohan N. Iyer
Publikováno v:
International Journal of Retina and Vitreous, Vol 7, Iss 1, Pp 1-7 (2021)
Abstract Background The management of an outbreak of endophthalmitis associated with intravitreal bevacizumab represents a challenging real-time process involving identification of cases, treatment and mitigation measures during the outbreak. We summ
Externí odkaz:
https://doaj.org/article/79466780a2f944c0b79bbcdcad5c657b
Autor:
Wei Cheng, Anqi Pan, Stephen L. Rathbun, Yang Ge, Qian Xiao, Leonardo Martinez, Feng Ling, Shelan Liu, Xiaoxiao Wang, Zhao Yu, Mark H. Ebell, Changwei Li, Andreas Handel, Enfu Chen, Ye Shen
Publikováno v:
International Journal of Infectious Diseases, Vol 103, Iss , Pp 573-578 (2021)
Objectives: Avian influenza virus A(H7N9) remains a threat to humans and has great potential to cause a pandemic in the foreseeable future. Antiviral treatment with neuraminidase inhibitors has been recommended to treat patients with H7N9 infection a
Externí odkaz:
https://doaj.org/article/f03897b8f23e42d780164c3d22192cb3
Publikováno v:
Viruses, Vol 13, Iss 4, p 550 (2021)
Hemorrhagic disease (HD) is considered one of the most significant infectious diseases of white-tailed deer in North America. Investigations into environmental conditions associated with outbreaks suggest drought conditions are strongly correlated wi
Externí odkaz:
https://doaj.org/article/b7ceda4c87ad4963886eb708ecbc05b1
Autor:
Michael D Schmidt, Stephen L. Rathbun, Zhixuan Chu, Benjamin D. Boudreaux, Lindsay Hahn, Eric Novotny, Kyle Johnsen, Sun Joo (Grace) Ahn
Publikováno v:
Measurement in Physical Education and Exercise Science. 27:171-180
Autor:
Anna M Adetona, Olorunfemi Adetona, Ryan T Chartier, Michael H Paulsen, Christopher D Simpson, Stephen L Rathbun, Luke P Naeher
Publikováno v:
Ann Work Expo Health
Wildland firefighters (WLFFs) are exposed to a mixture of chemicals found in wildland fire smoke and emissions from nonwildland-fuel smoke sources such as diesel. We investigated compositional differences in exposure to particulate matter and explore
Autor:
Catherine, Ball, Eric, Novotny, Sun Joo, Ahn, Lindsay, Hahn, Michael D, Schmidt, Stephen, L Rathbun, Kyle, Johnsen, Mike, Potel
Publikováno v:
IEEE Comput Graph Appl
Childhood obesity is a growing concern as it can lead to lifelong health problems that carry over into adulthood. A substantial contributing factor to obesity is the physical activity (PA) habits that are formed in early childhood, as these habits te
Autor:
Megan E J Lott, William A Norfolk, Cody A Dailey, Amelia M Foley, Carolina Melendez-Declet, Megan J Robertson, Stephen L Rathbun, Erin K Lipp
Publikováno v:
FEMS Microbes. 4
Wastewater surveillance has proven to be an effective tool to monitor the transmission and emergence of infectious agents at a community scale. Workflows for wastewater surveillance generally rely on concentration steps to increase the probability of
Publikováno v:
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) ISBN: 9781611977653
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd3f106f314356d1ba2736a04c110275
https://doi.org/10.1137/1.9781611977653.ch82
https://doi.org/10.1137/1.9781611977653.ch82