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1.
Preprint in English | medRxiv | ID: ppmedrxiv-21261420

ABSTRACT

This study examined the associations between green spaces and one-years worth of SARS-CoV- 2 infection rates across all 3,108 counties in the contiguous United States after controlling for multiple categories of confounding factors. We found green spaces at the county level have a significant negative association with infection rates. Among all types of green spaces, forest yields the most consistent and strongest negative association. Sensitivity analyses confirmed the negative association of forest across five urbanicity levels, and the strength of the association increases as disease incidence increases across five time periods. Although forest located in moderately urbanized counties yields the strongest association, the negative pattern of significant associations holds across all five urbanicity levels. A population-weighted analysis revealed that proximity to forest within a moderate walking distance ([≤] 1.0-1.4 km) may provide the greatest protection against the risk of infection.

2.
Diana Rose E Ranoa; Robin L Holland; Fadi G Alnaji; Kelsie J Green; Leyi Wang; Richard L Fredrickson; Tong Wang; George N Wong; Johnny Uelmen; Sergei Maslov; Ahmed Elbanna; Zachary J Weiner; Alexei V Tkachenko; Hantao Zhang; Zhiru Liu; Sanjay J Patel; John M Paul; Nickolas P Vance; Joseph G Gulick; Sandeep P Satheesan; Isaac J Galvan; Andrew Miller; Joseph Grohens; Todd J Nelson; Mary P Stevens; P. Mark Hennessy; Robert C Parker; Edward Santos; Charles Brackett; Julie D Steinman; Melvin R Fenner Jr.; Kristin Dohrer; Kraig Wagenecht; Michael DeLorenzo; Laura Wilhelm-Barr; Brian R Brauer; Catherine Best-Popescu; Gary Durack; Nathan Wetter; David M Kranz; Jessica Breitbarth; Charlie Simpson; Julie A Pryde; Robin N Kaler; Chris Harris; Allison C Vance; Jodi L Silotto; Mark Johnson; Enrique Valera; Patricia K Anton; Lowa Mwilambwe; Stephen B Bryan; Deborah S Stone; Danita B Young; Wanda E Ward; John Lantz; John A Vozenilek; Rashid Bashir; Jeffrey S Moore; Mayank Garg; Julian C Cooper; Gillian Snyder; Michelle H Lore; Dustin L Yocum; Neal J Cohen; Jan E Novakofski; Melanie J Loots; Randy L Ballard; Mark Band; Kayla M Banks; Joseph D Barnes; Iuliana Bentea; Jessica Black; Jeremy Busch; Hannah Christensen; Abigail Conte; Madison Conte; Michael Curry; Jennifer Eardley; April Edwards; Therese Eggett; Judes Fleurimont; Delaney Foster; Bruce W Fouke; Nicholas Gallagher; Nicole Gastala; Scott A Genung; Declan Glueck; Brittani Gray; Andrew Greta; Robert M Healy; Ashley Hetrick; Arianna A Holterman; Nahed Ismail; Ian Jasenof; Patrick Kelly; Aaron Kielbasa; Teresa Kiesel; Lorenzo M Kindle; Rhonda L Lipking; Yukari C Manabe; Jade ? Mayes; Reubin McGuffin; Kenton G McHenry; Agha Mirza; Jada Moseley; Heba H Mostafa; Melody Mumford; Kathleen Munoz; Arika D Murray; Moira Nolan; Nil A Parikh; Andrew Pekosz; Janna Pflugmacher; Janise M Phillips; Collin Pitts; Mark C Potter; James Quisenberry; Janelle Rear; Matthew L Robinson; Edith Rosillo; Leslie N Rye; MaryEllen Sherwood; Anna Simon; Jamie M Singson; Carly Skadden; Tina H Skelton; Charlie Smith; Mary Stech; Ryan Thomas; Matthew A Tomaszewski; Erika A Tyburski; Scott Vanwingerden; Evette Vlach; Ronald S Watkins; Karriem Watson; Karen C White; Timothy L Killeen; Robert J Jones; Andreas C Cangellaris; Susan A Martinis; Awais Vaid; Christopher B Brooke; Joseph T Walsh; William C Sullivan; Rebecca L Smith; Nigel D Goldenfeld; Timothy M Fan; Paul J Hergenrother; Martin D Burke.
Preprint in English | medRxiv | ID: ppmedrxiv-21261548

ABSTRACT

In the Fall of 2020, many universities saw extensive transmission of SARS-CoV-2 among their populations, threatening the health of students, faculty and staff, the viability of in-person instruction, and the health of surrounding communities.1, 2 Here we report that a multimodal "SHIELD: Target, Test, and Tell" program mitigated the spread of SARS-CoV-2 at a large public university, prevented community transmission, and allowed continuation of in-person classes amidst the pandemic. The program combines epidemiological modelling and surveillance (Target); fast and frequent testing using a novel and FDA Emergency Use Authorized low-cost and scalable saliva-based RT-qPCR assay for SARS-CoV-2 that bypasses RNA extraction, called covidSHIELD (Test); and digital tools that communicate test results, notify of potential exposures, and promote compliance with public health mandates (Tell). These elements were combined with masks, social distancing, and robust education efforts. In Fall 2020, we performed more than 1,000,000 covidSHIELD tests while keeping classrooms, laboratories, and many other university activities open. Generally, our case positivity rates remained less than 0.5%, we prevented transmission from our students to our faculty and staff, and data indicate that we had no spread in our classrooms or research laboratories. During this fall semester, we had zero COVID-19-related hospitalizations or deaths amongst our university community. We also prevented transmission from our university community to the surrounding Champaign County community. Our experience demonstrates that multimodal transmission mitigation programs can enable university communities to achieve such outcomes until widespread vaccination against COVID-19 is achieved, and provides a roadmap for how future pandemics can be addressed.

3.
Preprint in English | medRxiv | ID: ppmedrxiv-20228130

ABSTRACT

There is striking racial disparity in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection rates in the United States. We hypothesize that the disparity is significantly smaller in areas with a higher ratio of green spaces at the county level. This study used the 135 most urbanized counties across the United States as sample sites. County level data on the SARS-CoV-2 infection rates of black and white individuals in each county were collected. The ratio of green spaces by land-cover type at the county level was calculated from satellite imagery. An ecological hierarchical regression analysis measured cross-sectional associations between racial disparity in infection rates and green spaces, after controlling for socioeconomic, demographic, pre-existing chronic disease, and built-up area factors. We found significantly higher infection rate among black individuals compared to white individuals. More importantly, a higher ratio of green spaces at the county level is significantly associated with a lower racial disparity in the SARS-CoV-2 infection rate. Further, we identified four green space factors that have significant negative associations with the racial disparity in SARS-CoV-2 infection rates, including open space in developed areas, forest, shrub and scrub, and grassland and herbaceous. We suggest that green spaces are an equalizing salutogenic factor, modifying infection exposure. HighlightsO_LIThe first study to identify significant relationships between green spaces and the racial disparity of SARS-CoV-2 infection rates. C_LIO_LIA nationwide study of the 135 most urbanized counties of the United States. C_LIO_LIA within-subject study: The black-white racial disparity of SARS-CoV-2 infection rates was measured within each county. C_LIO_LIA higher ratio of green spaces in a county is associated with a lower racial disparity of SARS-CoV-2 infection rates after controlling for socio-economic, demographic, pre-existing chronic disease, and built-up area factors. C_LIO_LIFour green space factors are significantly associated with a lower racial disparity of SARS-CoV-2 infection rates. C_LI

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