Browsing by Subject "geography"

Now showing 1 - 7 of 7
  • Thumbnail Image
    Item
    Alaska to Afghanistan: Maps of Real Places in Reading and Technology
    (2014-12) Lamb, Annette; Johnson, Larry
  • Thumbnail Image
    Item
    Community Studies of Antisemitism in Schools (CSAIS) Community Typology Explorer
    (2021) Price, Jeremy F.; Wilson, Jeffrey S.; Schall, Carly E.; Snorten, Clifton L.; Hasan, Mohammad A.; Luo, Xiao; Jahin, S. M. Abrar
    This is a companion document to the CSAIS (Community Studies of Antisemitism In Schools) Community Typology Explorer which can be found at https://jeremyfprice.github.io/csais-dashboard/. Details about specific incidents, communities, and community types can be found at the CSAIS Community Typology Explorer. This project utilizes data from the ADL H.E.A.T. Map between 2016 and 2019 to identify incidents of antisemitism that specifically took place in schools. These incidents in schools are influenced by demographic, historical, social, and political factors. This project brings this data together to construct a community typology at the national level. This typology will provide insight into the ways that school-based incidents of hate are enacted and reported in context. Developing a community typology will allow providers to better target specific demographic, historical, and political attributes of the communities in which these incidents occur through curriculum and learning experiences.
  • Thumbnail Image
    Item
    Geography, generalisability, and susceptibility in clinical trials
    (Elsevier, 2021) Clougherty, Jane E.; Kinnee, Ellen J.; Cardet, Juan Carlos; Mauger, David; Bacharier, Leonard; Beigelman, Avraham; Blake, Kathryn V.; Cabana, Michael D.; Castro, Mario; Chmiel, James F.; Covar, Ronina; Fitzpatrick, Anne; Gaffin, Jonathan M.; Gentile, Deborah; Israel, Elliot; Jackson, Daniel J.; Kraft, Monica; Krishnan, Jerry A.; Kumar, Harsha Vardhan; Lang, Jason E.; Lazarus, Stephen C.; Lemanske, Robert F.; Lima, John; Martinez, Fernando D.; Morgan, Wayne; Moy, James; Myers, Ross; Naureckas, Edward T.; Ortega, Victor E.; Peters, Stephen P.; Phipatanakul, Wanda; Pongracic, Jacqueline A; Ross, Kristie; Sheehan, William J.; Smith, Lewis J.; Solway, Julian; Sorkness, Christine A.; Wechsler, Michael E.; Wenzel, Sally; White, Steven R.; Holguin, Fernando; Pediatrics, School of Medicine
  • Thumbnail Image
    Item
    A Habitat Suitability Model for Ricord’s Iguana in the Dominican Republic
    (2009-06-23T20:28:12Z) Dine, James; Wilson, Jeffrey S. (Jeffrey Scott), 1967-; Banerjee, Aniruddha; Ramer, Jan
    The West Indian iguanas of the genus Cyclura are the most endangered group of lizards in the world (Burton & Bloxam, 2002). The Ricord’s iguana, Cyclura ricordii, is listed as critically endangered by the International Union for Conservation of Nature (IUCN) (Ramer, 2004). This species is endemic to the island of Hispaniola (Figure 1), and can only be found in limited geographic areas (Burton & Bloxam, 2002). The range of this species is estimated to be only 60% of historical levels, with most areas being affected by some level of disturbance (Ottenwalder, 1996). The most recent population estimation is between 2,000 and 4,000 individuals (Burton & Bloxam, 2002). Information on potentially suitable habitat can help the conservation efforts for Ricord’s iguana. However, intensive ground surveys are not always feasible or cost effective, and cannot easily provide continuous coverage over a large area. This paper presents results from a pilot study that evaluated variables extracted from satellite imagery and digitally mapped data layers to map the probability of suitable Ricord’s iguana habitat. Bayesian methods were used to determine the probability that each pixel in the study areas is suitable habitat for Ricord’s iguanas by evaluating relevant environmental attributes. This model predicts the probability that an area is suitable habitat based on the values of the environmental attributes including landscape biophysical characteristics, terrain data, and bioclimatic variables.
  • Thumbnail Image
    Item
    Middle Earth to Panem: Maps of Imaginary Places as Invitations to Reading
    (2014-10) Lamb, Annette; Johnson, Larry
  • Thumbnail Image
    Item
    Rural-Urban Differences in Inpatient Quality of Care in US Veterans With Ischemic Stroke
    (2014-06) Phipps, Michael S.; Jia, Huanguang; Chumbler, Neale R.; Li, Xinli; Castro, Jaime G; Myers, Jennifer; Williams, Linda S.; Bravata, Dawn M.
    Purpose Differences in stroke care quality for patients in rural and urban locations have been suggested, but whether differences exist across Veteran Administration Medical Centers (VAMCs) is unknown. This study examines whether rural-urban disparities exist in inpatient quality among veterans with acute ischemic stroke. Methods In this retrospective study, inpatient stroke care quality was assessed in a national sample of veterans with acute ischemic stroke using 14 quality indicators (QIs). Rural-Urban Commuting Areas codes defined each VAMC's rural-urban status. A hierarchical linear model assessed the rural-urban differences across the 14 QIs, adjusting for patient and facility characteristics, and clustering within VAMCs. Findings Among 128 VAMCs, 18 (14.1%) were classified as rural VAMCs and admitted 284 (7.3%) of the 3,889 ischemic stroke patients. Rural VAMCs had statistically significantly lower unadjusted rates on 6 QIs: Deep vein thrombosis (DVT) prophylaxis, antithrombotic at discharge, antithrombotic at day 2, lipid management, smoking cessation counseling, and National Institutes of Health Stroke Scale completion, but they had higher rates of stroke education, functional assessment, and fall risk assessment. After adjustment, differences in 2 QIs remained significant—patients treated in rural VAMCs were less likely to receive DVT prophylaxis, but more likely to have documented functional assessment. Conclusions After adjustment for key demographic, clinical, and facility-level characteristics, there does not appear to be a systematic difference in inpatient stroke quality between rural and urban VAMCs. Future research should seek to understand the few differences in care found that could serve as targets for future quality improvement interventions.
  • Thumbnail Image
    Item