Bibliografías temáticas / Fulton County Schools (Ga.)

Literatura académica sobre el tema "Fulton County Schools (Ga.)"

Autor: Grafiati
Publicado: 27 de julio de 2024
Última modificación: 29 de julio de 2024

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Artículos de revistas sobre el tema "Fulton County Schools (Ga.)"

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Li, Mingyang y Baabak Ashuri. "Neighborhood racial composition, neighborhood wealth, and the surrounding food environment in Fulton County, GA". Applied Geography 97 (agosto de 2018): 119–27. http://dx.doi.org/10.1016/j.apgeog.2018.06.004.

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Machisko, John, Alan B. Cooper y Don Fry. "Biosolids Thickening using Membrane BioReactors at the Cauley Creek Water Reclamation Plant Fulton County, GA". Proceedings of the Water Environment Federation 2009, n.º 9 (1 de enero de 2009): 6230–36. http://dx.doi.org/10.2175/193864709793957238.

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Harrington, Pauline, Udodirim Onwubiko, Mingli Qi, David Holland, Pascale Wortley y Allison Chamberlain. "1964. Predictive Factors for HIV Seroconversion Among Women Attending an Urban Health Clinic in the South: A Matched Case–control Study in Atlanta, GA". Open Forum Infectious Diseases 6, Supplement_2 (octubre de 2019): S65. http://dx.doi.org/10.1093/ofid/ofz359.141.

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Abstract Background In 2019, Fulton County, GA was named one of 48 priority “hotspots” to target in renewed efforts to end the HIV epidemic in the United States. To more accurately predict women at greatest risk for HIV, we conducted an individually matched case–control study among women who attended a Fulton County health clinic to identify risk factors associated with HIV seroconversion. Methods We obtained data about women who sought care at Fulton County Board of Health Sexual Health Clinic (SHC) between 2011 and 2016. Cases were women with at least one clinician-assisted visit (CAV) at the SHC prior to HIV diagnosis date. Controls were women who visited the clinic in this same period but remained HIV negative. Controls were individually matched to cases in a 2:1 matching ratio on race, age at first CAV, and date of first CAV. Conditional logistic regression was used to develop a model for predicting probability of and identifying risk factors for HIV seroconversion. Results Of 18,281 women who were HIV negative at their first visit to the SHC between 2011 and 2016, 110 (0.6%) seroconverted before 2018. Of these, 80 (73%) had a CAV prior to HIV diagnosis. Using these 80 cases and 160 matched controls, having a history of gonorrhea, multiple gonorrhea episodes, a history of syphilis, a greater number of sex partners in the past 2 months, anal sex, history of injection drug or crack cocaine use, a history of exchanging drugs/money for sex, and heterosexual sex with more than one sex partner in the last month were associated with HIV seroconversion in bivariate analyses. After conducting backward selection from a fully adjusted model, predictors remaining were: having a history of syphilis (OR = 4.9, 95% CI: 1.4, 16.9), anal sex (OR = 2.9, 95% CI: 1.0, 8.3), and injection drug or crack cocaine use (OR = 34.8, 95% CI: 3.7, 328.1). Women having all three risk factors were six times more likely to seroconvert compared with matched controls without these risk factors. Conclusion Our results offer clinical insights into which women are most at-risk for HIV and are therefore best candidates for initiating HIV prevention interventions like pre-exposure prophylaxis (PrEP) within a HIV “hotspot” in the South. Disclosures All Authors: No reported Disclosures.
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Tovey, Shannon. "An Interview with Alice Ensley: District Literacy Coordinator at Dalton County Schools". Georgia Journal of Literacy 44, n.º 1 (2 de diciembre de 2021): 2–6. http://dx.doi.org/10.56887/galiteracy.12.

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This is an interview with Alice Ansley, Literacy Coordinator at Dalton County Schools (GA). Dalton County is an ethnically and language-diverse school district with the majority of students receiving free or reduced lunch. Alice Ensley has been recognized for her leadership in literacy education, particularly in regard to facing the challenges of the COVID-19 virus.
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Akintola, Kehinde, Sophia Foley, Angelique Willis, Suhasini Ramisetty-Mikler, Miranda Cook y Kellie Mayfield. "EXAMINING THE ASSOCIATION AMONG ADLS, DEMOGRAPHICS, WITH FOOD SECURITY ADULTS AT SENIOR CENTERS IN FULTON COUNTY, GA". Innovation in Aging 7, Supplement_1 (1 de diciembre de 2023): 1031–32. http://dx.doi.org/10.1093/geroni/igad104.3316.

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Abstract Food security amongst community-dwelling older adults attending senior centers is not often examined. It is an integral determinant of health because of the impact on multiple health conditions, which are further impacted by functional impairments and co-morbidities that can come with increasing age. Additionally, meal and nutrition education providers do not typically collect this information, which can be used to better provide services to their clients. This study examined the relationship between food security and demographic variables of older adults attending senior centers in Georgia served by nutrition provider Open Hand Atlanta (OHA). One hundred sixty-five senior center attendees were recruited from nine senior centers throughout Fulton County. The age of the participants ranged between 52 to 97, with most identifying as female (86.7%) and African American (79%). Food security (outcome of interest) was measured by the USDA 6-item module. Bivariate associations were tested between food security and ADLs and iADLs (instrumental ADLs) measured by a 15-item list, health conditions, shopping habits, transportation, caregiving, and demographics. Results showed that food security differed based on race/ethnicity X2 (n=165) = 8.94 (df=2), p = .011 and type of insurance X2 (n=100) = 5.95, (df=1) p = 0.015). In addition, those who are under public/Govt. insurance experience a higher proportion of food insecurity compared to those under private insurance (p=.015). Results have implications for nutrition providers when offering additional services to senior centers and the older adults they serve.
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Fajardo, Geroncio Cagigas y Randy L. Hanzlick. "A 10-Year Epidemiologic Review of Homicide Cases in Children Younger Than 5 Years in Fulton County, Ga". American Journal of Forensic Medicine and Pathology 31, n.º 4 (diciembre de 2010): 355–58. http://dx.doi.org/10.1097/paf.0b013e3181fc3593.

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Hamid, S., A. T. Chamberlain, U. Onwubiko y D. P. Holland. "Syphilis surveillance in Fulton County, GA 2013-2015: selective participation in case interviews and implications for control efforts". Annals of Epidemiology 36 (agosto de 2019): 73. http://dx.doi.org/10.1016/j.annepidem.2019.06.029.

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Webster, Andrew, Scott Fridkin y Susan Ray. "The Incidence, Characteristics, and Outcomes of Community and Hospital-Associated S. aureus Disease in Fulton County, Georgia". Infection Control & Hospital Epidemiology 41, S1 (octubre de 2020): s81—s82. http://dx.doi.org/10.1017/ice.2020.573.

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Background: Due to reliance on hospital discharge data for case identification, the burden of noninvasive and community-acquired S. aureus disease is often underestimated. To determine the full burden of S. aureus infections, we utilized population-based surveillance in a large urban county. Methods: The Georgia Emerging Infections Program (GA EIP) conducted CDC-funded, population-based surveillance by finding cases of S. aureus infections in 8 counties around Atlanta in 2017. Cases were residents with S. aureus isolated from either a normally sterile site in a 30-day period (invasive cases) or another site in a 14-day period (noninvasive cases). Medical records (all invasive and 1:4 sample of noninvasive cases) among Fulton County residents were abstracted for clinical, treatment, and outcome data. Cases treated were mapped to standard therapeutic site codes. Noninvasive specimens were reviewed and attributed to an invasive case if both occurred within 2 weeks. Incidence rates were calculated using 2017 census population and using a weight-adjusted cohort to account for sampling. Results: In total, 1,186 noninvasive (1:4 sample) and 529 invasive cases of S. aureus in Fulton county were reviewed. Only 35 of 1,186 (2.9%) noninvasive cases were temporally linked to invasive cases, resulting in 5,133 cases after extrapolation (529 invasive, 4,604 noninvasive). All invasive cases and 3,776 of 4,604 noninvasive cases (82%) were treated (4,305 total). Treatment was highest in skin (90%) and abscess (97%), lowest in urine (62%) and sputum (60%), and consisted of antibacterial agents alone (65%) or in addition to drainage procedures (35%). Overall, 41% of all cases were hospitalized, 12% required ICU admission, and 2.7% died, almost exclusively with bloodstream and pulmonary infections. Attribution of noninvasive infection was most often outside healthcare settings (87%); only 341 (7.9%) were hospital-onset cases; however, 34% of cases had had healthcare exposure in the preceding year, most often inpatient hospitalization (75%) or recent surgery (35%). Estimated countywide incidence was 414 per 100,000 (130 for MRSA and 284 for MSSA), invasive infection was 50 per 100,000. Among treated cases, 57% were SSTI, and the proportion of cases caused by MRSA was ~33% but varied slightly by therapeutic site (Fig. 1). Conclusions: The incidence of treated S. aureus infection in our large urban county is estimated to be 414 per 100,000 persons, which exceeds previously estimated rates based on hospital discharge data. Only 12% of treated infections were invasive, and <1 in 10 were hospital onset. Also, two-thirds of treated disease cases were MSSA; most were SSTIs.Funding: Proprietary Organization: Pfizer.Disclosures: Scott Fridkin, consulting fee - vaccine industry (spouse).
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Onwubiko, Udodirim, Kristin Wall, Rose-Marie Sales y David P. Holland. "Using Directly Observed Therapy (DOT) for latent tuberculosis treatment – A hit or a miss? A propensity score analysis of treatment completion among 274 homeless adults in Fulton County, GA". PLOS ONE 14, n.º 6 (21 de junio de 2019): e0218373. http://dx.doi.org/10.1371/journal.pone.0218373.

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Worrell, Mary Claire, Michael Kramer, Aliya Yamin, Susan M. Ray y Neela D. Goswami. "Use of Activity Space in a Tuberculosis Outbreak: Bringing Homeless Persons Into Spatial Analyses". Open Forum Infectious Diseases 4, n.º 1 (1 de enero de 2017). http://dx.doi.org/10.1093/ofid/ofw280.

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Abstract Background Tuberculosis (TB) causes significant morbidity and mortality in US cities, particularly in poor, transient populations. During a TB outbreak in Fulton County, Atlanta, GA, we aimed to determine whether local maps created from multiple locations of personal activity per case would differ significantly from traditional maps created from single residential address. Methods Data were abstracted for patients with TB disease diagnosed in 2008–2014 and receiving care at the Fulton County Health Department. Clinical and activity location data were abstracted from charts. Kernel density methods, activity space analysis, and overlay with homeless shelter locations were used to characterize case spatial distribution when using single versus multiple addresses. Results Data were collected for 198 TB cases, with over 30% homeless US-born cases included. Greater spatial dispersion of cases was found when utilizing multiple versus single addresses per case. Activity spaces of homeless and isoniazid (INH)-resistant cases were more spatially congruent with one another than non-homeless and INH-susceptible cases (P &lt; .0001 and P &lt; .0001, respectively). Conclusions Innovative spatial methods allowed us to more comprehensively capture the geography of TB-infected homeless persons, who made up a large portion of the Fulton County outbreak. We demonstrate how activity space analysis, prominent in exposure science and chronic disease, supports that routine capture of multiple location TB data may facilitate spatially different public health interventions than traditional surveillance maps.
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Tesis sobre el tema "Fulton County Schools (Ga.)"

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Smith, Sarah M. "The inaccessibility of elementary schools in Fulton County causes, consequences, and alternatives". Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31751.

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Thesis (M. S.)--Architecture, Georgia Institute of Technology, 2010.
Committee Member: Edwin Akins II; Committee Member: Michael Dobbins; Committee Member: Richard Dagenhart. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Marshall, Jamaal B. "An Analysis of Geography Project Data to Determine HIV and Behavioral Risk for High Risk Zip Codes and Low Risk Zip Codes in Fulton County, GA". Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/iph_theses/234.

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INTRODUCTION: HIV disease is thought to be cluster in specific areas rather than be evenly distributed. A study to show a significantly higher HIV risk in certain geographical areas would be beneficial for resource allocation purposes. AIM: The purpose of this study is to describe the demographics of the study population, describe the demographics of those participants that tested HIV-positive, and determine the associations between zip code of residence, HIV infection, and risky behavior. METHODS: Data were collected by Georgia State University’s Center of Excellence for Health Disparities Research for The Geography Project. Univariate and multivariate binary logistic regression analyses were performed on select variables. A p-value of < 0.05 and a 95% confidence interval (CI) were used to determine significance. RESULTS: Participants in high risk groups zip codes were roughly 6.7 times more likely to have been given an HIV-positive result prior to the survey (OR=6.717, CI=1.989-22.683, p=.000), 4.4 times more likely to have been infected with HIV at the time of the survey (OR=4.402, CI=2.109-9.187, p=.000), and 1.4 times more likely to have more than 3 sex contacts in the 6 months prior to the survey (OR=1.425, CI=1.075-1.890, p=.014). The association between HIV and persons that identify as transgender was extremely significant (OR= 28.335, CI=8.305-96.678, p=.000). DISCUSSION: The results indicated that participants in the high risk zip codes group were at a higher risk for HIV infection and having 3 or more sex contacts in the 6 months prior to the interview.
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Holmes, Veronica Menezes. "Stories of Lynwood Park". Atlanta, Ga. : Georgia State University, 2008. http://digitalarchive.gsu.edu/history_diss/11/.

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Thesis (Ph. D.)--Georgia State University, 2008.
Title from title page (Digital Archive@GSU, viewed June 7, 2010). Clifford M. Kuhn, committee chair; Ian C. Fletcher, Charles G. Steffen, committee members. Includes bibliographical references (p. 442-459).
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Carter, David. "Traffic-related Pollution Exposure Assessment of Fulton County and Atlanta Public Schools (K-12) in Proximity to Major Highways and Expressways". 2014. http://scholarworks.gsu.edu/iph_theses/352.

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ABSTRACT ROSS CARTER Traffic-related Pollution Exposure Assessment of Fulton County and Atlanta Public Schools (K-12) in Proximity to Major Highways and Expressways Background: A number of studies have linked traffic-related pollutant exposures to asthma in children. Health conditions such as asthma can contribute to school absenteeism and missed learning opportunities as well as place a major burden on health resources. Although children spend a significant amount of time in school, few states have adopted school siting policies that prevent the placement of schools near major highways. Furthermore, schools often fail to take appropriate steps (e.g. adequate HVAC and air filters) to address indoor air quality concerns for students. The study was designed to identify the number of schools and the number of children in Fulton County and Atlanta Public Schools that attend schools in proximity to major highways and expressways where they are likely to have greater exposure to traffic pollution. The results of this study can be used to build an evidence base for stricter school siting guidelines, for planning safe routes to school, and for mitigation strategies to limit pollutant exposures for children who attend high-risk schools. Methods: Highway, expressway, county, and school shapefiles were overlaid using ArcMap in ArcGIS version 10.1 (ERSI, USA). A circular buffer with radius 0.5 mile (~ 800 m) was created for each school. ArcMap geospatial tools were used to identify major highways and expressways with these buffers. Results: A total of 119 of the 225 schools in Fulton County and Atlanta Public school districts were identified as being located within 0.5 miles of a major highway or expressway. Of the 119 schools meeting the intersection criteria, 72.2% (86 of 119 schools) were designated Title I. Conclusion: Approximately half of schools were located within 0.5 miles of a major highway or expressway. This may result in elevated levels of traffic-related air pollution on the school campuses and potential increased exposure for students. Proper air filter selection, HVAC maintenance, and air quality programs as well as land use, planning, and assessment measures are recommended for these schools to help mitigate exposures.
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Libros sobre el tema "Fulton County Schools (Ga.)"

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Birmingham, Ruth. Fulton County BLues. S.l: Turtleback Books, 2000.

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Copyright Paperback Collection (Library of Congress), ed. Fulton County blues. New York: Berkley Prime Crime, 1999.

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Original Montgomery Co. Historical Society (Ga.), ed. Montgomery County, Ga. poor or common school records for 1835-1836-1837-1838-1839-1840. Mt. Vernon, Ga: Original Montgomery Co. Historical Society, 1988.

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Butler, Mimi Jo Hill. The history of the 7th District Agricultural and Mechanical (A & M) School of Cobb County, Georgia. Marietta, Ga: Cobb County Georgia Genealogical Society, 1999.

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Titus, Jill Ogline. Brown's battleground: Students, segregationists, and the struggle for justice in Prince Edward county, Virginia. Chapel Hill: University of North Carolina Press, 2011.

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Company, Turner Publishing. Fulton County, Ga Fire. Turner Pub Co, 2004.

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People, ADC the Map. North Fulton County Ga -Adc. ADC The Map People, 2004.

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North Fulton County, Ga Laminmated Map. Adc the Map People, 2002.

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Map, Universal. Douglas County / South Fulton County, GA Street Atlas. Universal Map Enterprises, 1996.

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Cobb County/North Fulton County, Ga (City & County Street Atlas). Universal Map Enterprises, 2001.

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