Browsing by Author "Tyson, A."

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    Autism Prevalence in Chile: Unmet Special Education Needs using Data Linkage and Bayesian Analysis of Three Million School-Aged Children
    (2024) Roman Urrestarazu, Andrés; Tyson, A.; Gatica Bahamondes, Gabriel Guillermo; van Kesse, R.; Yang, J.; Mansilla, C.; Zuniga, I.; Mendez-Fadol, A.; Larrain, B.; Garcia, R.; Koch, D.; Groot, W.; Pavlova, M.; Czabanowska, K.; Ford, T.
    Prevalence estimates of autism spectrum disorder (henceforth autism) in Latin America thus far have been limited by a lack of reliable population-level data. We analyzed autism school prevalence across 29 Chilean health service regions for students aged 6–18 years, standardized by age and sex. We validated these results using electronic health records from one of Chile’s largest regional health service, the Servicio de Salud Araucania Sur (SSAS). We then projected Bayesian prevalences, reporting nationally, and by health service, ethnicity, immigration background, and rurality. We found a standardized national school autism prevalence of 0.46% (95% CI, 0.46%-0.47%), with boys having six times higher odds of autism than girls (OR 6.10 [95%CI: 5.82–6.41]). The sex - and age-adjusted clinical prevalence in the SSAS trust was 1.22% (95% CI: 1.16%-1.28%) and the projected Bayesian national autism prevalence was 1.31% (95% Credible Interval: 1.25%-1.38%). Our results indicate a higher autism prevalence than previously reported in the south of the Araucania region with observed disparities in prevalence across sex, ethnic groups, and health services.
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    Mapping the Stellar Content of the Milky Way with LSST
    (2012) Bochanski, John J.; Thorman, P.; Covey, K.; Olsen, K.; Dhital, S.; Beers, T. C.; Boeshaar, P.; Cargile, P.; Catelan, Márcio; Digel, S.; Guhathakurta, P.; Henry, T.; Ivezic, Z.; Juric, M.; Kalirai, J.; Kirkpatrick, J.; McGehee, P. M.; Minniti, D.; Mukadam, A.; Pepper, J.; Prsa, A.; Roškar, R.; Smith, J.; Stassun, K.; Tyson, A.
    The Large Synoptic Survey Telescope (LSST) will map half of the sky in six filters down to r=27.5 (AB mag; 5-sigma), with typical precision of one percent (0.01 mag). The ten year baseline of the survey will provide about a thousand multi-epoch observations for objects brighter than r=24.5, yielding variability, proper motions and trigonometric parallax measurements for hundreds of millions of stars. The resulting photometric and astrometric catalogs will enable novel and unique investigations, detailing the formation and evolution of the Milky Way's stellar populations, as well as neighboring galaxies. We highlight some of the enabled science studies, including results from the output source catalog derived from simulated LSST images. A few examples of the stellar populations projects will be shown: sampling a census of the MLT population near the solar neighborhood; mapping the structure and stellar metallicity content of the Milky Way's disk and halo; assembling catalogs of eclipsing binaries, subdwarfs and white dwarfs, suitable for measuring fundamental stellar parameters; and measuring the Milky Way's star formation history using stellar ages determined from gyrochronology and rotation periods, as well as the white dwarf luminosity function. We also highlight the studies enabled by the "Deep Drilling" fields, patches within the LSST footprint that will be imaged at a higher cadence over the course of the survey....