An ontology-driven system for detecting global health events Abstract 1 Introduction

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• Knowledge representation
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• Ontology
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• SNOMED CT
• Notifiable disease
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2016 Council & Committee Nominations (in alphabetical order) Academic Policy – 2 seats Cindy Prins, (Clin.Asst. Prof) Epidemiology, PHHP/COM William McGehee, (Clin. Asst. Prof) Physical Therapy, PHHP

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Open Science: Open Data, Open Source Software and Citizen Science in Epidemiology and Statistics Yannick Vandendijck, Niel Hens Research Impact through Open Access: Explore new opportunities

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Missouri Nosocomial Infection Reporting Data: Report to the Governor and General Assembly, December 2015 Missouri Department of Health and Senior Services AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER

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Graduate Programs in Epidemiology and Public Health University of Miami, Miller School of Medicine BST 640 — Modern Numerical Multivariate Methods Fall 2015 Thursday 10:00-12:30, CRB 995

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Special Issue Epidemiology and Detection as Options for Control of Viral and Parasitic Foodborne Disease Lee-Ann Jaykus

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• Norovirus
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Age-aggregation bias in mortality trends Andrew Gelman ⇤ ⇤ †

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• Demography
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• Mortality rate
• Life table
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• Weekend effect
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Department of Epidemiology and Public Health Miller School of Medicine University of Miami BSTCredit Hours) Longitudinal and Multilevel Data Wednesday-Friday 9:00 – 10:15PM

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Informação nº1829 AJHP – American journal of health-system pharmacy BethesdaOut.2015; Nov.2015; American journal of epidemiology

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Name:________________________________________________ Date:_____________________________ Address:_______________________________________________

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