Dictionary of Epidemiology, 5Th Edition
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Pre-Antibiotic Therapy of Syphilis Charles T
University of Kentucky UKnowledge Microbiology, Immunology, and Molecular Microbiology, Immunology, and Molecular Genetics Faculty Publications Genetics 2016 Pre-Antibiotic Therapy of Syphilis Charles T. Ambrose University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits oy u. Follow this and additional works at: https://uknowledge.uky.edu/microbio_facpub Part of the Medical Immunology Commons Repository Citation Ambrose, Charles T., "Pre-Antibiotic Therapy of Syphilis" (2016). Microbiology, Immunology, and Molecular Genetics Faculty Publications. 83. https://uknowledge.uky.edu/microbio_facpub/83 This Article is brought to you for free and open access by the Microbiology, Immunology, and Molecular Genetics at UKnowledge. It has been accepted for inclusion in Microbiology, Immunology, and Molecular Genetics Faculty Publications by an authorized administrator of UKnowledge. For more information, please contact [email protected]. Pre-Antibiotic Therapy of Syphilis Notes/Citation Information Published in NESSA Journal of Infectious Diseases and Immunology, v. 1, issue 1, p. 1-20. © 2016 C.T. Ambrose This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available at UKnowledge: https://uknowledge.uky.edu/microbio_facpub/83 Journal of Infectious Diseases and Immunology Volume 1| Issue 1 Review Article Open Access PRE-ANTIBIOTICTHERAPY OF SYPHILIS C.T. Ambrose, M.D1* 1Department of Microbiology, College of Medicine, University of Kentucky *Corresponding author: C.T. Ambrose, M.D, College of Medicine, University of Kentucky Department of Microbiology, E-mail: [email protected] Citation: C.T. -
Exposure to Holoendemic Malaria Results in Suppression of Epstein-Barr Virus-Specific T Cell Immunosurveillance in Kenyan Children
University of Massachusetts Medical School eScholarship@UMMS Population and Quantitative Health Sciences Publications Population and Quantitative Health Sciences 2007-02-15 Exposure to holoendemic malaria results in suppression of Epstein-Barr virus-specific T cell immunosurveillance in Kenyan children Ann M. Moormann University of Massachusetts Medical School Et al. Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/qhs_pp Part of the Biostatistics Commons, Epidemiology Commons, Health Services Research Commons, Immunology and Infectious Disease Commons, and the Pediatrics Commons Repository Citation Moormann AM, Chelimo K, Sumba PO, Tisch DJ, Rochford RA, Kazura JW. (2007). Exposure to holoendemic malaria results in suppression of Epstein-Barr virus-specific T cell immunosurveillance in Kenyan children. Population and Quantitative Health Sciences Publications. https://doi.org/10.1086/ 511984. Retrieved from https://escholarship.umassmed.edu/qhs_pp/397 This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Population and Quantitative Health Sciences Publications by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. MAJOR ARTICLE Exposure to Holoendemic Malaria Results in Suppression of Epstein-Barr Virus–Specific T Cell Immunosurveillance in Kenyan Children Ann M. Moormann,1 Kiprotich Chelimo,4 Peter O. Sumba,4 Daniel J. Tisch,2 Rosemary Rochford,3 and James W. Kazura1 1Center for Global Health and Diseases and 2Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio; 3Department of Microbiology and Immunology, State University of New York Upstate Medical University, Syracuse; 4Kenya Medical Research Institute, Center for Vector Biology and Control Research, Kisumu, Kenya Background. -
Case-Control Studies Learning Objectives
Case-control studies • Overview of different types of studies • Review of general procedures • Sampling of controls – implications for measures of association – implications for bias • Logistic regression modeling Learning Objectives • To understand how the type of control sampling relates to the measures of association that can be estimated • To understand the differences between the nested case-control study and the case-cohort design and the advantages and disadvantages of these designs • To understand the basic procedures for logistic regression modeling Overview of types of case-control studies No designated cohort, Within a designated cohort but should treat source population as cohort Nested case control Case-cohort Cases only Cases and controls 1) Type of sampling - incidence density Case-crossover - cumulative “epidemic” 2) Source of controls - population-based - hospital - neighborhood - friends -family 1 Review of General Procedures Obtaining cases Obtaining controls 1) Define target cases 1) Define target controls 2) Identify potential cases 2) Define mechanism for 3) Confirm diagnosis identifying controls 4) *Obtain physician’s consent 3) Contact control 5) Contact case 4) Confirm control’s eligibility 6) Confirm case’s eligibility 5) *Obtain control’s consent 7) *Obtain case’s consent 6) Obtain exposure data 8) Obtain exposure data *need to account for nonresponse Pros/Cons of Different Methods Collection of information In-person Telephone Mail - hospital - clinic - home Case cohort study T0 Additional cases, Assemble compare -
Editorial Acquired Immunity in a Holoendemic Setting of Plasmodium Falciparum and P
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Public Health Resources Public Health Resources 2007 EDITORIAL ACQUIRED IMMUNITY IN A HOLOENDEMIC SETTING OF PLASMODIUM FALCIPARUM AND P. VIVAX MALARIA J. Kevin Baird ALERTAsia Foundation, [email protected] Robert W. Snow University of Oxford-Wellcome Trust Collaborative Programme, Nairobi, Kenya Follow this and additional works at: http://digitalcommons.unl.edu/publichealthresources Baird, J. Kevin and Snow, Robert W., "EDITORIAL ACQUIRED IMMUNITY IN A HOLOENDEMIC SETTING OF PLASMODIUM FALCIPARUM AND P. VIVAX MALARIA" (2007). Public Health Resources. 359. http://digitalcommons.unl.edu/publichealthresources/359 This Article is brought to you for free and open access by the Public Health Resources at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Public Health Resources by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Europe PMC Funders Group Author Manuscript Am J Trop Med Hyg. Author manuscript; available in PMC 2013 March 22. Published in final edited form as: Am J Trop Med Hyg. 2007 June ; 76(6): 995–996. Europe PMC Funders Author Manuscripts EDITORIAL ACQUIRED IMMUNITY IN A HOLOENDEMIC SETTING OF PLASMODIUM FALCIPARUM AND P. VIVAX MALARIA J. KEVIN BAIRD* and ROBERT W. SNOW ALERTAsia Foundation, Jakarta, Indonesia; Kenya Medical Research institute University of Oxford-Wellcome Trust Collaborative Programme, Nairobi, Kenya Most of what we presume to understand of naturally acquired immunity to Plasmodium falciparum malaria comes from studies in sub-Saharan Africa. The virtual absence of P. vivax malaria from most of that region leaves three important questions not addressed: 1) What is naturally acquired immunity to P. -
Early History of Infectious Disease
© Jones and Bartlett Publishers. NOT FOR SALE OR DISTRIBUTION CHAPTER ONE EARLY HISTORY OF INFECTIOUS 1 DISEASE Kenrad E. Nelson, Carolyn F. Williams Epidemics of infectious diseases have been documented throughout history. In ancient Greece and Egypt accounts describe epidemics of smallpox, leprosy, tuberculosis, meningococcal infections, and diphtheria.1 The morbidity and mortality of infectious diseases profoundly shaped politics, commerce, and culture. In epidemics, none were spared. Smallpox likely disfigured and killed Ramses V in 1157 BCE, although his mummy has a significant head wound as well.2 At times political upheavals exasperated the spread of disease. The Spartan wars caused massive dislocation of Greeks into Athens triggering the Athens epidemic of 430–427 BCE that killed up to one half of the population of ancient Athens.3 Thucydides’ vivid descriptions of this epidemic make clear its political and cultural impact, as well as the clinical details of the epidemic.4 Several modern epidemiologists have hypothesized on the causative agent. Langmuir et al.,5 favor a combined influenza and toxin-producing staphylococcus epidemic, while Morrens and Chu suggest Rift Valley Fever.6 A third researcher, Holladay believes the agent no longer exists.7 From the earliest times, man has sought to understand the natural forces and risk factors affecting the patterns of illness and death in society. These theories have evolved as our understanding of the natural world has advanced, sometimes slowly, sometimes, when there are profound break- throughs, with incredible speed. Remarkably, advances in knowledge and changes in theory have not always proceeded in synchrony. Although wrong theories or knowledge have hindered advances in understanding, there are also examples of great creativity when scientists have successfully pursued their theories beyond the knowledge of the time. -
(STROBE) Statement: Guidelines for Reporting Observational Studies
Policy and practice The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies* Erik von Elm,a Douglas G Altman,b Matthias Egger,a,c Stuart J Pocock,d Peter C Gøtzsche e & Jan P Vandenbroucke f for the STROBE Initiative Abstract Much biomedical research is observational. The reporting of such research is often inadequate, which hampers the assessment of its strengths and weaknesses and of a study’s generalizability. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Initiative developed recommendations on what should be included in an accurate and complete report of an observational study. We defined the scope of the recommendations to cover three main study designs: cohort, case-control and cross-sectional studies. We convened a two-day workshop, in September 2004, with methodologists, researchers and journal editors to draft a checklist of items. This list was subsequently revised during several meetings of the coordinating group and in e-mail discussions with the larger group of STROBE contributors, taking into account empirical evidence and methodological considerations. The workshop and the subsequent iterative process of consultation and revision resulted in a checklist of 22 items (the STROBE Statement) that relate to the title, abstract, introduction, methods, results and discussion sections of articles. Eighteen items are common to all three study designs and four are specific for cohort, case-control, or cross-sectional studies. A detailed Explanation and Elaboration document is published separately and is freely available on the web sites of PLoS Medicine, Annals of Internal Medicine and Epidemiology. We hope that the STROBE Statement will contribute to improving the quality of reporting of observational studies. -
Medical Negligence
Page 1 of 11 Review Applied forensic epidemiology, part 1: medical negligence 1 2 2 Methods Development MD Freeman *, PJ Cahn , FA Franklin Abstract Conclusion demiology, is generally described as Introduction Causation in cases of alleged medi- concerning the intersection of epide- The evaluation of the causal relation- cal malpractice is commonly disput- ship between an alleged act of medical provides a systematic approach to the negligence and an adverse health out- causation is not a viable alternative miology and law. More specifically, FE come is an essential element of a med- (i.e.ed. Inthe cases diagnosis in which can directhave multiple specific causation in civil and criminal mat- ical malpractice legal action. In such causes), the indirect evaluation of tersinvestigation3–5. In a clinical of general setting, and the specific evalu- an action, the question of causation is ation of causation is invariably per- also known as the “but-for” question; described in this article provides a formed by clinicians (e.g. a patient’s i.e. but for the negligent act, would the reliablespecific methodologiccausation via framework the methods for ischaemic stroke was caused by his plaintiff still have suffered the adverse uncontrolled high blood pressure), outcome at the same point in time? of causation suitable for presenta- and as such it is rare that a causal de- Forensic epidemiology provides a sys- tionthe quantificationin a court of law. of the probability termination is ever revisited or chal- tematic approach to the investigation lenged. In the legal setting, however, of causation, with conclusions suitable Introduction causation is routinely disputed. -
Is COVID-19 Affecting the Epidemiology of Stis?
Miscellaneous Sex Transm Infect: first published as 10.1136/sextrans-2020-054543 on 27 July 2020. Downloaded from RESEARCH LETTER among MSM, a finding consistent with Contributors AL designed the work, collected the epidemic trends highlighted in the the data, wrote the manuscript and revised it. MGD literature.1–3 analysed the data and wrote the article. MG collected Is COVID-19 affecting the the data and revised the work. FM collected the data The fear of infection by severe acute and wrote the article. MZ reviewed the letter. AC epidemiology of STIs? The respiratory syndrome coronavirus 2 approved the final version of the manuscript. experience of syphilis in Rome (SARS- CoV-2) may have reduced sexual Funding The authors have not declared a specific encounters and led to a genuine decline grant for this research from any funding agency in the in STIs. However, we cannot exclude public, commercial or not- for- profit sectors. that patients have been postponing their Dear Editor, Competing interests None declared. visits because of worries about attending In response to the COVID-19 pandemic, Patient consent for publication Not required. the clinic during the pandemic, as also on 9 March 2020, the Italian govern- Provenance and peer review Not commissioned; described for other medical specialities.4 It ment announced a nationwide lockdown externally peer reviewed. is also possible that even with the recent programme of social distancing, self- This article is made freely available for use in relaxation of lockdown measures, there isolation for contacts and prohibition of accordance with BMJ’s website terms and conditions may be lasting changes to many aspects for the duration of the covid-19 pandemic or until public events. -
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Morbidity and Mortality Weekly Report Weekly / Vol. 65 / No. 43 November 4, 2016 Effects of Maternal Age and Age-Specific Preterm Birth Rates on Overall Preterm Birth Rates — United States, 2007 and 2014 Cynthia Ferré, MA1; William Callaghan, MD1; Christine Olson, MD1; Andrea Sharma, PhD1; Wanda Barfield, MD1 Reductions in births to teens and preterm birth rates are 20–24, 25–29, 30–34, and ≥35 years. Using rate decomposi- two recent public health successes in the United States (1,2). tion methods, the change in preterm birth rates from 2007 From 2007 to 2014, the birth rate for females aged 15–19 years to 2014 was divided into two components: 1) changes in the declined 42%, from 41.5 to 24.2 per 1,000 females. The pre- maternal age distribution, and 2) changes in the age-specific term birth rate decreased 8.4%, from 10.41% to 9.54% of live preterm birth rates (4). The two components were calculated births (1). Rates of preterm births vary by maternal age, being relative to each other; one was held constant (by using the higher among the youngest and oldest mothers. It is unknown average value for the 2 years) as the observed variation in the how changes in the maternal age distribution in the United other component was assessed. The sum of the two compo- States have affected preterm birth rates. CDC used birth data nents across the age groups equaled the total preterm birth to assess the relative contributions of changes in the maternal rate difference (4). age distribution and in age-specific preterm birth rates to the From 2007 to 2014, maternal age increased from a mean of overall decrease in preterm birth rates. -
Dictionary Epidemiology
A Dictionary ofof Epidemiology Fifth Edition Edited for the International Epidemiological Association by Miquel Porta Professor of Preventive Medicine & Public Health, School of Medicine, Universitat Autònoma de Barcelona; Senior Scientist, Institut Municipal d’Investigació Mèdica, Barcelona, Spain; Adjunct Professor of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill Associate Editors Sander Greenland John M. Last 1 2008 PPorta_FM.inddorta_FM.indd iiiiii 44/16/08/16/08 111:51:201:51:20 PPMM 1 Oxford University Press, Inc., publishes works that further Oxford University’s objective excellence in research, schollarship, and education Oxford New York Auckland Cape Town Dar es Salaam Hong Kong Karachi Kuala Lumpur Madrid Melbourne Mexico City Nairobi Shanghai Taipei Toronto With offi ces in Argentina Austria Brazil Chile Czech Republic France Greece Guatemala Hungary Italy Japan Poland Portugal Singapore South Korea Switzerland Thailand Turkey Ukraine Vietnam Copyright © 1983, 1988, 1995, 2001, 2008 International Epidemiological Association, Inc. Published by Oxford University Press, Inc. 198 Madison Avenue, New York, New York 10016 www.oup-usa.org All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior permission of Oxford University Press. This edition was prepared with support from Esteve Foundation (Barcelona, Catalonia, Spain) (http://www.esteve.org) Library of Congress Cataloging-in-Publication Data A dictionary of epidemiology / edited for the International Epidemiological Association by Miquel Porta; associate editors, John M. Last . [et al.].—5th ed. p. cm. Includes bibliographical references and index. -
Statistics As a Condemned Building: a Demolition and Reconstruction Plan
EPIDEMIOLOGY SEMINAR / WINTER 2019 THE DEPARTMENT OF EPIDEMIOLOGY, BIOSTATISTICS AND OCCUPATIONAL HEALTH, - SEMINAR SERIES IS A SELF-APPROVED GROUP LEARNING ACTIVITY (SECTION 1) AS DEFINED BY THE MAINTENANCE OF CERTIFICATION PROGRAM OF THE ROYAL COLLEGE OF PHYSICIANS AND SURGEONS OF CANADA Sander Greenland Emeritus Professor Epidemiology and Statistics University of California, Los Angeles Statistics as a Condemned Building: A Demolition and Reconstruction Plan MONDAY, 18 FEBRUARY 2019 / 4:00PM 5:00PM McIntyre Medical Building 3655 promenade Sir William Osler – Meakins Rm 521 ALL ARE WELCOME ABSTRACT: OBJECTIVES BIO: As part of the vast debate about how 1. To stop dichotomania Sander Greenland is Emeritus to reform statistics, I will argue that (unnecessary chopping of quan- Professor of Epidemiology and Sta- probability-centered statistics should tities into dichotomies); tistics at the University of California, be replaced by an integra- Los Angeles, specializing in the lim- 2. To stop nullism (unwarranted tion of cognitive science, caus- itations and misuse of statistical bias toward "null hypotheses" of al modeling, data descrip- methods, especially in observational no association or no effect); tion, and information transmis- studies. He has published over 400 sion, with probability entering as 3. To replace terms and concepts articles and book chapters in epide- one of the mathemati- like "statistical significance" and miology, statistics, and medicine, cal tools for delineating the pri- "confidence interval" with com- and given over 250 invited lectures, mary elements. Ironically, giv- patibility statements about hy- seminars and courses en the decades of treating it as potheses and models. worldwide in epidemiologic and scapegoat for all the ills of statistics, statistical methodology. -
Outbreak Epidemiology & Investigation
Lecture 6 Outbreak Investigation February 2, 2017 ID Epidemiology (BMTRY 713) MUSC Dept. of Public Health Sciences Infectious Disease Epidemiology BMTRY 713 (A. Selassie, DrPH) February 2, 2017 Lecture 6 Outbreak Epidemiology & Investigation Learning Objectives 1. Define Outbreak, Epidemic, Endemic, & Pandemic 2. Describe the purpose of Outbreak investigation 3. List the main steps in outbreak investigation 4. Illustrate epidemic curves 5. Recognizer main types of outbreaks Outbreak epidemiology Study of a disease cluster or epidemic in order to control or prevent further spread of disease in a population It is a specific form of descriptive epidemiology intended to identify immediate threat to public health Requires urgent action Terminology Outbreak—a small localized cluster of cases, usually an infectious disease Epidemic—the occurrence of cases of a condition in a population in a number greater than expected for a given period of time Endemic—a constant presence of a communicable disease in a population – Holoendemic: high proportion of children affected, conferring immunity in adults. (e.g. malaria) – Hyperendemic: constant presence in all ages Pandemic—an epidemic that transcends national boundary extending to much of the world Selassie AW (DPHS) 1 Lecture 6 Outbreak Investigation February 2, 2017 ID Epidemiology (BMTRY 713) MUSC Dept. of Public Health Sciences Types of epidemics Common source – Single source of contamination – Single vehicle • Consider distribution patterns Point epidemics – Common source, everyone exposed at the same time Propagated epidemics – Transfer from one host to another – Bimodal with secondary cases – Overlapping secondary cases Mixed – Include both Point source epidemics (short) Point source epidemics (Long) Selassie AW (DPHS) 2 Lecture 6 Outbreak Investigation February 2, 2017 ID Epidemiology (BMTRY 713) MUSC Dept.