Foodborne and Waterborne Disease Outbreak Investigation Resource
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Period of Presymptomatic Transmission
PERIOD OF PRESYMPTOMATIC TRANSMISSION RAG 17/09/2020 QUESTION Transmission of SARS-CoV-2 before onset of symptoms in the index is known, and this is supported by data on viral shedding. Based on the assumption that the viral load in the upper respiratory tract is highest one day before and the days immediately after onset of symptoms, current procedures for contact tracing (high and low risk contacts), go back two days before start of symptoms in the index (or sampling date in asymptomatic persons) (1), (2), (3). This is in line with the ECDC and WHO guidelines to consider all potential contacts of a case starting 48h before symptom onset (4) (5). The question was asked whether this period should be extended. BACKGROUND Viral load According to ECDC and WHO, viral RNA can be detected from one to three days before the onset of symptoms (6,7). The highest viral loads, as measured by RT-PCR, are observed around the day of symptom onset, followed by a gradual decline over time (1,3,8–10) . Period of transmission A much-cited study by He and colleagues and published in Nature used publicly available data from 77 transmission pairs to model infectiousness, using the reported serial interval (the period between symptom onset in infector-infectee) and combining this with the median incubation period. They conclude that infectiousness peaks around symptom onset. The initial article stated that the infectious period started at 2.3 days before symptom onset. However, a Swiss team spotted an error in their code and the authors issued a correction, stating the infectious period can start from as early as 12.3 days before symptom onset (11). -
MMWR Early and Were Reported to Two Respective Local Health Jurisdictions, Release on the MMWR Website (
Morbidity and Mortality Weekly Report High SARS-CoV-2 Attack Rate Following Exposure at a Choir Practice — Skagit County, Washington, March 2020 Lea Hamner, MPH1; Polly Dubbel, MPH1; Ian Capron1; Andy Ross, MPH1; Amber Jordan, MPH1; Jaxon Lee, MPH1; Joanne Lynn1; Amelia Ball1; Simranjit Narwal, MSc1; Sam Russell1; Dale Patrick1; Howard Leibrand, MD1 On May 12, 2020, this report was posted as an MMWR Early and were reported to two respective local health jurisdictions, Release on the MMWR website (https://www.cdc.gov/mmwr). without indication of a common source of exposure. On On March 17, 2020, a member of a Skagit County, March 17, the choir director sent a second e-mail stating that Washington, choir informed Skagit County Public Health 24 members reported that they had developed influenza-like (SCPH) that several members of the 122-member choir had symptoms since March 11, and at least one had received test become ill. Three persons, two from Skagit County and one results positive for SARS-CoV-2. The email emphasized the from another area, had test results positive for SARS-CoV-2, importance of social distancing and awareness of symptoms the virus that causes coronavirus disease 2019 (COVID-19). suggestive of COVID-19. These two emails led many members Another 25 persons had compatible symptoms. SCPH to self-isolate or quarantine before a delegated member of the obtained the choir’s member list and began an investigation on choir notified SCPH on March 17. March 18. Among 61 persons who attended a March 10 choir All 122 members were interviewed by telephone either practice at which one person was known to be symptomatic, during initial investigation of the cluster (March 18–20; 53 cases were identified, including 33 confirmed and 20 115 members) or a follow-up interview (April 7–10; 117); most probable cases (secondary attack rates of 53.3% among con- persons participated in both interviews. -
Measles: Chapter 7.1 Chapter 7: Measles Paul A
VPD Surveillance Manual 7 Measles: Chapter 7.1 Chapter 7: Measles Paul A. Gastanaduy, MD, MPH; Susan B. Redd; Nakia S. Clemmons, MPH; Adria D. Lee, MSPH; Carole J. Hickman, PhD; Paul A. Rota, PhD; Manisha Patel, MD, MS I. Disease Description Measles is an acute viral illness caused by a virus in the family paramyxovirus, genus Morbillivirus. Measles is characterized by a prodrome of fever (as high as 105°F) and malaise, cough, coryza, and conjunctivitis, followed by a maculopapular rash.1 The rash spreads from head to trunk to lower extremities. Measles is usually a mild or moderately severe illness. However, measles can result in complications such as pneumonia, encephalitis, and death. Approximately one case of encephalitis2 and two to three deaths may occur for every 1,000 reported measles cases.3 One rare long-term sequelae of measles virus infection is subacute sclerosing panencephalitis (SSPE), a fatal disease of the central nervous system that generally develops 7–10 years after infection. Among persons who contracted measles during the resurgence in the United States (U.S.) in 1989–1991, the risk of SSPE was estimated to be 7–11 cases/100,000 cases of measles.4 The risk of developing SSPE may be higher when measles occurs prior to the second year of life.4 The average incubation period for measles is 11–12 days,5 and the average interval between exposure and rash onset is 14 days, with a range of 7–21 days.1, 6 Persons with measles are usually considered infectious from four days before until four days after onset of rash with the rash onset being considered as day zero. -
NEW YORK, 650 5TH AVE @ 52ND ST BOSTON, COPLEY PLACE Fashion
NEW YORK, 650 5TH AVE @ 52ND ST BOSTON, COPLEY PLACE Fashion. Beauty. Business. DEC 2015 No. 2 FOLLOW US FOLLOW SHOP AT LANDSEND.COM AT SHOP ’Tis the Season! The fashion insider’s holiday gift guide, wish lists, books, retailer picks and party style. (And the time Salvador Dalí threw a mink- lined bathtub through Bonwit’s window.) WE BELIEVE IN YOU Edward Nardoza EDITOR IN CHIEF Pete Born EXECUTIVE EDITOR, BEAUTY Bridget Foley EXECUTIVE EDITOR James Fallon EDITOR Robb Rice GROUP DESIGN DIRECTOR ’Tis the Season! 46 To shine brightest in the evening, dress up with the John B. Fairchild most festive of accoutrements. 1927 — 2015 MANAGING EDITOR Peter Sadera MANAGING EDITOR, Dianne M. Pogoda Billy Reid’s bow tie, FASHION/SPECIAL REPORTS $125, billyreid.com EXECUTIVE EDITOR, EUROPE Miles Socha DEPUTY MANAGING EDITOR Evan Clark Ben Sherman’s leather NEWS DIRECTOR Lisa Lockwood hip flask gift set, $20, DEPUTY EDITOR, DATA AND ANALYSIS Arthur Zaczkiewicz Ben Sherman New SITTINGS DIRECTOR Alex Badia H SENIOR EDITOR, RETAIL David Moin York SENIOR EDITOR, SPECIAL PROJECTS, Arthur Friedman TEXTILES & TRADE Cartier’s Rotonde de SENIOR EDITOR, FINANCIAL Vicki M. Young Cartier Chronograph BUREAU CHIEF, LONDON Samantha Conti watch, $9,050, Cartier BUREAU CHIEF, MILAN Luisa Zargani BUREAU CHIEF, LOS ANGELES Marcy Medina stores ASIAN EDITOR Amanda Kaiser BUREAU CHIEF, WASHINGTON Kristi Ellis Brooks Brothers knot ASSOCIATE EDITOR Jenny B. Fine stud set, $325, Brooks SENIOR EDITOR, SPECIALTY RETAIL Sharon Edelson Brothers stores and E SENIOR PRESTIGE MARKET Julie Naughton BEAUTY EDITOR brooksbrothers.com. SENIOR FASHION FEATURES EDITOR Jessica Iredale ACCESSORIES MARKET DIRECTOR Roxanne Robinson FASHION MARKET DIRECTOR Mayte Allende EYE EDITOR Taylor Harris MEN’S SENIOR EDITOR Jean E. -
Superspreading of Airborne Pathogens in a Heterogeneous World Julius B
www.nature.com/scientificreports OPEN Superspreading of airborne pathogens in a heterogeneous world Julius B. Kirkegaard*, Joachim Mathiesen & Kim Sneppen Epidemics are regularly associated with reports of superspreading: single individuals infecting many others. How do we determine if such events are due to people inherently being biological superspreaders or simply due to random chance? We present an analytically solvable model for airborne diseases which reveal the spreading statistics of epidemics in socio-spatial heterogeneous spaces and provide a baseline to which data may be compared. In contrast to classical SIR models, we explicitly model social events where airborne pathogen transmission allows a single individual to infect many simultaneously, a key feature that generates distinctive output statistics. We fnd that diseases that have a short duration of high infectiousness can give extreme statistics such as 20% infecting more than 80%, depending on the socio-spatial heterogeneity. Quantifying this by a distribution over sizes of social gatherings, tracking data of social proximity for university students suggest that this can be a approximated by a power law. Finally, we study mitigation eforts applied to our model. We fnd that the efect of banning large gatherings works equally well for diseases with any duration of infectiousness, but depends strongly on socio-spatial heterogeneity. Te statistics of an on-going epidemic depend on a number of factors. Most directly: How easily is it transmit- ted? And how long are individuals afected and infectious? Scientifc papers and news paper articles alike tend to summarize the intensity of epidemics in a single number, R0 . Tis basic reproduction number is a measure of the average number of individuals an infected patient will successfully transmit the disease to. -
Using Proper Mean Generation Intervals in Modeling of COVID-19
ORIGINAL RESEARCH published: 05 July 2021 doi: 10.3389/fpubh.2021.691262 Using Proper Mean Generation Intervals in Modeling of COVID-19 Xiujuan Tang 1, Salihu S. Musa 2,3, Shi Zhao 4,5, Shujiang Mei 1 and Daihai He 2* 1 Shenzhen Center for Disease Control and Prevention, Shenzhen, China, 2 Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China, 3 Department of Mathematics, Kano University of Science and Technology, Wudil, Nigeria, 4 The Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China, 5 Shenzhen Research Institute of Chinese University of Hong Kong, Shenzhen, China In susceptible–exposed–infectious–recovered (SEIR) epidemic models, with the exponentially distributed duration of exposed/infectious statuses, the mean generation interval (GI, time lag between infections of a primary case and its secondary case) equals the mean latent period (LP) plus the mean infectious period (IP). It was widely reported that the GI for COVID-19 is as short as 5 days. However, many works in top journals used longer LP or IP with the sum (i.e., GI), e.g., >7 days. This discrepancy will lead to overestimated basic reproductive number and exaggerated expectation of Edited by: infection attack rate (AR) and control efficacy. We argue that it is important to use Reza Lashgari, suitable epidemiological parameter values for proper estimation/prediction. Furthermore, Institute for Research in Fundamental we propose an epidemic model to assess the transmission dynamics of COVID-19 Sciences, Iran for Belgium, Israel, and the United Arab Emirates (UAE). -
Mumps Public Information
Louisiana Office of Public Health Infectious Disease Epidemiology Section Phone: 1-800-256-2748 www.infectiousdisease.dhh.louisiana.gov Mumps What is mumps? How is mumps diagnosed? Mumps is a disease that is caused by the mumps virus. It spreads Mumps is diagnosed by a combination of symptoms and physical easily through coughing and sneezing. Mumps can cause fever, signs and laboratory confirmation of the virus, as not all cases headache, body aches, fatigue and inflammation of the salivary develop characteristic parotitis, and not all cases of parotitis are (spit) glands, which can lead to swelling of the cheeks and jaws. caused by mumps. Who gets mumps? What is the treatment for mumps? Mumps is a common childhood disease, but adults can also get There is no “cure” for mumps, only supportive treatment (bed mumps. While vaccination reduces the chances of getting ill rest, fluids and fever reduction). Most cases will recover on their considerably, even those fully immunized can get the disease. own. How do people get mumps? If someone becomes very ill, he/she should seek medical Mumps is spread from person to person. When an infected attention. The ill person should call the doctor in advance so that person talks, coughs or sneezes, the virus is released into the air he/she doesn’t have to sit in the waiting room for a long time and and enters another person’s body through the nose, mouth or possibly infect other patients. throat. People can also become sick if they eat food or use utensils, cups or other objects that have come into contact with How can mumps be prevented? the mucus or saliva (spit) from an infected person. -
Epidemiology of and Risk Factors for COVID-19 Infection Among Health Care Workers: a Multi-Centre Comparative Study
International Journal of Environmental Research and Public Health Article Epidemiology of and Risk Factors for COVID-19 Infection among Health Care Workers: A Multi-Centre Comparative Study Jia-Te Wei 1, Zhi-Dong Liu 1, Zheng-Wei Fan 2, Lin Zhao 1,* and Wu-Chun Cao 1,2,* 1 Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong, China; [email protected] (J.-T.W.); [email protected] (Z.-D.L.) 2 State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China; [email protected] * Correspondence: [email protected] (L.Z.); [email protected] (W.-C.C.) Received: 31 August 2020; Accepted: 28 September 2020; Published: 29 September 2020 Abstract: Healthcare workers (HCWs) worldwide are putting themselves at high risks of coronavirus disease 2019 (COVID-19) by treating a large number of patients while lacking protective equipment. We aim to provide a scientific basis for preventing and controlling the COVID-19 infection among HCWs. We used data on COVID-19 cases in the city of Wuhan to compare epidemiological characteristics between HCWs and non-HCWs and explored the risk factors for infection and deterioration among HCWs based on hospital settings. The attack rate (AR) of HCWs in the hospital can reach up to 11.9% in Wuhan. The time interval from symptom onset to diagnosis in HCWs and non-HCWs dropped rapidly over time. From mid-January, the median time interval of HCW cases was significantly shorter than in non-HCW cases. -
Food Handler Course Manual
Food Handler Course Manual Serving the residents of Curve Lake and Hiawatha First Nations, and the County and City of Peterborough Food Handler Training and Certification Course This manual and the associated course material have been developed and distributed by Peterborough Public Health (PPH), Food Safety Program. The information contained in this manual is intended as a guide. Where compliance with the Ontario Food Premises Regulation (O. Reg. 493/17) is an issue, always refer to the regulation. Chapters 1, 4, and 5 written by: Matt Faris, BASc, CPHI(C) Chapters 2 and 3 written by: Julie Ingram, BSc, BASc, CPHI(C) We would like to acknowledge the following contributions for providing direction in the development of this manual: PPH – Food Handler Training and Certification Course Manual, Version 1 Chris Eaton, BASc, BEd, CPHI(C) Food Safety: A Guide for Ontario’s Foodhandlers Ministry of Health and Long-Term Care, September 2018 We would also like to acknowledge and thank Jane Naylor (PPH, Communications Assistant) who provided support for the design, layout, and formatting of the course manual. Peterborough Public Health, 2018 705-743-1000 All rights reserved. No part of this manual may be reproduced, transcribed, stored in a retrieval system, translated into any language or computer language or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without the prior written permission of the copyright owner. Original Print Version: October, 2013 Last Updated: December, 2018 - Matt Faris, BASc, CPHI(C) Table of Contents Chapter 1: Introduction ............................................................................................................. 3 Introduction ........................................................................................................................................................................ 3 The Role of the Public Health Unit .................................................................................................................................... -
Introduction to Food Safety Course 1: Introduction and Personal Hygiene
Introduction to Food Safety Course 1: Introduction and Personal Hygiene A Training Series for Supermarket Deli, Bakery, and Cheese Department Associates Course 1: Introduction and Personal Hygiene Introduction to Food Safety A Training Series for Supermarket Deli, Bakery, and Cheese Department Associates PO Box 5528 Madison, WI 53705-0528 www.iddba.org [email protected] 608.310.5000 First Edition © 2012, International Dairy•Deli•Bakery Association™ No part of this publication may be altered without the express written permission of the International Dairy•Deli•Bakery Association. Contact [email protected] for permission. The information presented in this book has been compiled from sources and documents believed to be reliable. However, the accuracy of the information is not guaranteed, nor is any responsibility assumed or implied by the International Dairy•Deli•Bakery Association. Introduction to Food Safety About This Series WWhathat You’llYou’ll LLearn:earn: Food safety is the most important aspect of your job. If the food you sell isn’t safe to eat, it doesn’t matter how great it • What is food safety? tastes, how appetizing it looks, or what a great value it is. Food safety is only as strong as the weakest link in your • Why is food safety important? store. Do your part every day, every time, to ensure that your store’s food is safe. Th is series of courses will teach • What is the role of personal hygiene? you why food safety is important and what you can do as an associate to keep food safe. • How to keep the department clean and sanitized. -
Arxiv:1705.01135V2 [Q-Bio.QM] 17 Jul 2020 Author Summary
Estimating and interpreting secondary attack risk: Binomial considered harmful Yushuf Sharker1, Eben Kenah2, * 1 Division of Biometrics, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, USA 2 Biostatistics Division, College of Public Health, The Ohio State University, Columbus, Ohio, USA * [email protected] Abstract The household secondary attack risk (SAR), often called the secondary attack rate or secondary infection risk, is the probability of infectious contact from an infectious household member A to a given household member B, where we define infectious contact to be a contact sufficient to infect B if he or she is susceptible. Estimation of the SAR is an important part of understanding and controlling the transmission of infectious diseases. In practice, it is most often estimated using binomial models such as logistic regression, which implicitly attribute all secondary infections in a household to the primary case. In the simplest case, the number of secondary infections in a household with m susceptibles and a single primary case is modeled as a binomial(m; p) random variable where p is the SAR. Although it has long been understood that transmission within households is not binomial, it is thought that multiple generations of transmission can be safely neglected when p is small. We use probability generating functions and simulations to show that this is a mistake. The proportion of susceptible household members infected can be substantially larger than the SAR even when p is small. As a result, binomial estimates of the SAR are biased upward and their confidence intervals have poor coverage probabilities even if adjusted for clustering. -
Cohort Studies for Outbreak Investigations
VOLUME 3, ISSUE 1 Cohort Studies for Outbreak Investigations In a previous issue of FOCUS, we To be certain that an exposure caused introduced cohort studies and talked the disease, the unexposed group CONTRIBUTORS about how to decide whether a co- must be similar to the exposed group hort study is the best design for your in all respects except the exposure. Author: situation. Remember that cohort Therefore they should have similar Amy Nelson, PhD, MPH studies are useful when there is a demographic characteristics such as defined population at risk for devel- age, gender, race, and income. If you Kim Brunette, MPH oping the disease of interest (such compare an “unexposed” elementary FOCUS Workgroup* as all members of the Glee Club) and school to an “exposed” elementary when it is possible to interview all school, both schools should be lo- Reviewers: members or a representative sample cated in neighborhoods with the same FOCUS Workgroup* of the cohort. types of economic and other opportu- nities, similar socio-economic status Production Editors: In outbreak investigations, cohort (SES), similar parent involvement, Tara P. Rybka, MPH studies are usually retrospective similar school resources, and similar Lorraine Alexander, DrPH because in an outbreak an exposure has already occurred, and enough student populations. Gloria C. Mejia, DDS, MPH cases to signal an outbreak have Using groups that have other differ- Editor in chief: also occurred. The aim is to deter- ences may lead to “confounding.” If Pia D.M. MacDonald, PhD, MPH mine what exposures occurred in the you compare a low-income public past to cause these cases of dis- school to a private boarding school, ease.