Introduction the Time of Epidemics
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STI Screening Timetable
Patient Education Information from University Health Center’s STI Screening Clinic Page 1 of 1 STI Screening Timetable How long until STI (sexually transmitted infection) screening tests turn positive? How long until STI symptoms might show up? The time between infection and a positive test, or between infection and symptoms, is variable and depends on many factors, including the behavior of the infectious agent, how and where the body is infected, and the state of a person’s immune system and personal health. Many STIs don’t have any symptoms. The incubation period times listed in the chart below are averages only. If you have further questions or concerns, you can schedule an appointment with a clinician at 541-346-2770. STI screening test Window period (time from exposure until Incubation period (time between exposure and screening test turns positive) when symptoms appear) Chlamydia (urine specimen or swab of 1 week most of the time Often no symptoms vagina, rectum, throat) 2 weeks catches almost all 1-3 weeks on average Gonorrhea (urine specimen on swab of 1 week most of the time Often no symptoms, especially vaginal vagina, rectum, throat) 2 weeks catches almost all infections usually within 2-8 days but can be up to 2 weeks Syphilis (blood test, RPR) 1 month catches most Often symptoms too mild to notice 3 months catches almost all 10-90 days average 21 days HIV (oral cheek swab) 1 month catches most Sometimes mild body aches and fever within 1-2 3 months catches almost all weeks then can be months to years HIV (blood test, antigen/antibody -
Incubation Period and Other Epidemiological
Journal of Clinical Medicine Article Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation: A Statistical Analysis of Publicly Available Case Data 1, 1, 1 1 Natalie M. Linton y , Tetsuro Kobayashi y, Yichi Yang , Katsuma Hayashi , Andrei R. Akhmetzhanov 1 , Sung-mok Jung 1 , Baoyin Yuan 1, Ryo Kinoshita 1 and Hiroshi Nishiura 1,2,* 1 Graduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, Sapporo-shi, Hokkaido 060-8638, Japan; [email protected] (N.M.L.); [email protected] (T.K.); [email protected] (Y.Y.); katsuma5miff[email protected] (K.H.); [email protected] (A.R.A.); [email protected] (S.-m.J.); [email protected] (B.Y.); [email protected] (R.K.) 2 Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency, Honcho 4-1-8, Kawaguchi, Saitama 332-0012, Japan * Correspondence: [email protected]; Tel.: +81-11-706-5066 These authors contributed equally to this work. y Received: 25 January 2020; Accepted: 10 February 2020; Published: 17 February 2020 Abstract: The geographic spread of 2019 novel coronavirus (COVID-19) infections from the epicenter of Wuhan, China, has provided an opportunity to study the natural history of the recently emerged virus. Using publicly available event-date data from the ongoing epidemic, the present study investigated the incubation period and other time intervals that govern the epidemiological dynamics of COVID-19 infections. Our results show that the incubation period falls within the range of 2–14 days with 95% confidence and has a mean of around 5 days when approximated using the best-fit lognormal distribution. -
Norovirus Background
DOH 420-180 Norovirus Background Clinical Syndrome of Norovirus Symptoms Norovirus can cause acute gastroenteritis in persons of all ages. Symptoms include acute onset non- bloody diarrhea, vomiting, nausea, and abdominal pain, sometimes accompanied by low-grade fever, body aches, and headache.2,3 Some individuals may only experience vomiting or diarrhea. Dehydration is a concerning secondary outcome.2 Symptoms typically resolve without treatment in 1-3 days in healthy individuals. Illness can last 4-6 days and may manifest more severely in young children elderly persons, and hospitalized patients.2,3 Diarrhea is more common in adults, while vomiting is more common among children.4 Up to 30% of norovirus infections are asymptomatic.2 Incubation The incubation period for norovirus is 12-48 hours.2 Transmission The only known reservoir for norovirus is humans. Transmission occurs by three routes: person-to- person, foodborne, or waterborne.2 Individuals can be infected by coming into contact with infected individuals (through the fecal-oral route or by ingestion of aerosolized vomitus or feces), contaminated foods or water, or contaminated surfaces or fomites.1,2 Viral shedding occurs for 4 weeks on average following infection, with peak viral shedding occurring 2-5 days after infection.2 Norovirus is extremely contagious, with an estimated infectious dose as low as 18 viral particles, indicating that even small amounts of feces can contain billions of infectious doses.2 The period of communicability includes the acute phase of illness up through 48 hours after conclusion of diarrhea. Treatment Treatment of norovirus gastroenteritis primarily includes oral rehydration through water, juice, or ice chips. -
Lesson 1 Introduction to Epidemiology
Lesson 1 Introduction to Epidemiology Epidemiology is considered the basic science of public health, and with good reason. Epidemiology is: a) a quantitative basic science built on a working knowledge of probability, statistics, and sound research methods; b) a method of causal reasoning based on developing and testing hypotheses pertaining to occurrence and prevention of morbidity and mortality; and c) a tool for public health action to promote and protect the public’s health based on science, causal reasoning, and a dose of practical common sense (2). As a public health discipline, epidemiology is instilled with the spirit that epidemiologic information should be used to promote and protect the public’s health. Hence, epidemiology involves both science and public health practice. The term applied epidemiology is sometimes used to describe the application or practice of epidemiology to address public health issues. Examples of applied epidemiology include the following: • the monitoring of reports of communicable diseases in the community • the study of whether a particular dietary component influences your risk of developing cancer • evaluation of the effectiveness and impact of a cholesterol awareness program • analysis of historical trends and current data to project future public health resource needs Objectives After studying this lesson and answering the questions in the exercises, a student will be able to do the following: • Define epidemiology • Summarize the historical evolution of epidemiology • Describe the elements of a case -
Managing Outbreaks of Sexually Transmitted Infections
Managing outbreaks of Sexually Transmitted Infections Operational guidance Managing outbreaks of Sexually Transmitted Infections: Operational guidance About Public Health England Public Health England exists to protect and improve the nation’s health and wellbeing, and reduce health inequalities. We do this through world-class science, knowledge and intelligence, advocacy, partnerships and the delivery of specialist public health services. We are an executive agency of the Department of Health, and are a distinct delivery organisation with operational autonomy to advise and support government, local authorities and the NHS in a professionally independent manner. Public Health England Wellington House 133-155 Waterloo Road London SE1 8UG Tel: 020 7654 8000 www.gov.uk/phe Twitter: @PHE_uk Facebook: www.facebook.com/PublicHealthEngland Prepared by: Dr Ian Simms, Dr Margot Nicholls, Dr Kirsty Foster, Lynsey Emmett, Dr Paul Crook and Dr Gwenda Hughes. For queries relating to this document, please contact Dr Ian Simms at [email protected] Resources for supporting STI outbreak management can be found at: www.gov.uk/government/publications/sexually-transmitted-infections-stis-managing- outbreaks © Crown copyright 2017 You may re-use this information (excluding logos) free of charge in any format or medium, under the terms of the Open Government Licence v3.0. To view this licence, visit OGL or email [email protected]. Where we have identified any third party copyright information you will need to obtain permission from the copyright holders concerned. Any enquiries regarding this publication should be sent to [insert email address]. Published January 2017 PHE publications gateway number: 2016586 2 Managing outbreaks of Sexually Transmitted Infections: Operational guidance Contents About Public Health England 2 1. -
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). -
Malaria and COVID-19: Common and Different Findings
Tropical Medicine and Infectious Disease Viewpoint Malaria and COVID-19: Common and Different Findings Francesco Di Gennaro 1 , Claudia Marotta 1,*, Pietro Locantore 2, Damiano Pizzol 3 and Giovanni Putoto 1 1 Operational Research Unit, Doctors with Africa CUAMM, 35121 Padova, Italy; [email protected] (F.D.G.); [email protected] (G.P.) 2 Institute of Endocrinology, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; [email protected] 3 Italian Agency for Development Cooperation, Khartoum 79371, Sudan; [email protected] * Correspondence: [email protected] or [email protected] Received: 31 July 2020; Accepted: 3 September 2020; Published: 6 September 2020 Abstract: Malaria and COVID-19 may have similar aspects and seem to have a strong potential for mutual influence. They have already caused millions of deaths, and the regions where malaria is endemic are at risk of further suffering from the consequences of COVID-19 due to mutual side effects, such as less access to treatment for patients with malaria due to the fear of access to healthcare centers leading to diagnostic delays and worse outcomes. Moreover, the similar and generic symptoms make it harder to achieve an immediate diagnosis. Healthcare systems and professionals will face a great challenge in the case of a COVID-19 and malaria syndemic. Here, we present an overview of common and different findings for both diseases with possible mutual influences of one on the other, especially in countries with limited resources. Keywords: malaria; SARS-CoV-2; COVID-19; preparedness; Africa; emergency; pandemic 1. Background On 11 March 2020, the WHO declared the outbreak of SARS-CoV-2 to be a pandemic infection. -
Prediction of the Incubation Period for COVID-19 and Future Virus Disease Outbreaks Ayal B
Gussow et al. BMC Biology (2020) 18:186 https://doi.org/10.1186/s12915-020-00919-9 RESEARCH ARTICLE Open Access Prediction of the incubation period for COVID-19 and future virus disease outbreaks Ayal B. Gussow†, Noam Auslander*†, Yuri I. Wolf and Eugene V. Koonin* Abstract Background: A crucial factor in mitigating respiratory viral outbreaks is early determination of the duration of the incubation period and, accordingly, the required quarantine time for potentially exposed individuals. At the time of the COVID-19 pandemic, optimization of quarantine regimes becomes paramount for public health, societal well- being, and global economy. However, biological factors that determine the duration of the virus incubation period remain poorly understood. Results: We demonstrate a strong positive correlation between the length of the incubation period and disease severity for a wide range of human pathogenic viruses. Using a machine learning approach, we develop a predictive model that accurately estimates, solely from several virus genome features, in particular, the number of protein-coding genes and the GC content, the incubation time ranges for diverse human pathogenic RNA viruses including SARS-CoV-2. The predictive approach described here can directly help in establishing the appropriate quarantine durations and thus facilitate controlling future outbreaks. Conclusions: The length of the incubation period in viral diseases strongly correlates with disease severity, emphasizing the biological and epidemiological importance of the incubation period. Perhaps, surprisingly, incubation times of pathogenic RNA viruses can be accurately predicted solely from generic features of virus genomes. Elucidation of the biological underpinnings of the connections between these features and disease progression can be expected to reveal key aspects of virus pathogenesis. -
Sexually Transmitted Infections Treatment Guidelines, 2021
Morbidity and Mortality Weekly Report Recommendations and Reports / Vol. 70 / No. 4 July 23, 2021 Sexually Transmitted Infections Treatment Guidelines, 2021 U.S. Department of Health and Human Services Centers for Disease Control and Prevention Recommendations and Reports CONTENTS Introduction ............................................................................................................1 Methods ....................................................................................................................1 Clinical Prevention Guidance ............................................................................2 STI Detection Among Special Populations ............................................... 11 HIV Infection ......................................................................................................... 24 Diseases Characterized by Genital, Anal, or Perianal Ulcers ............... 27 Syphilis ................................................................................................................... 39 Management of Persons Who Have a History of Penicillin Allergy .. 56 Diseases Characterized by Urethritis and Cervicitis ............................... 60 Chlamydial Infections ....................................................................................... 65 Gonococcal Infections ...................................................................................... 71 Mycoplasma genitalium .................................................................................... 80 Diseases Characterized -
Intersecting Infections of Public Health Significance Page I Intersecting Infections of Public Health Significance
Intersecting Infections of Public Health Significance Page i Intersecting Infections of Public Health Significance The Epidemiology of HIV, Viral Hepatitis, Sexually Transmitted Diseases, and Tuberculosis in King County 2008 Intersecting Infections of Public Health Significance was supported by a cooperative agreement from the Centers for Disease Control and Prevention Published December 2009 Alternate formats of this report are available upon request Intersecting Infections of Public Health Significance Page ii David Fleming, MD, Director Jeffrey Duchin, MD, Director, Communicable Disease Epidemiology & Immunization Program Matthew Golden, MD, MPH, Director, STD Program Masa Narita, MD, Director, TB Program Robert Wood, MD, Director, HIV/AIDS Program Prepared by: Hanne Thiede, DVM, MPH Elizabeth Barash, MPH Jim Kent, MS Jane Koehler, DVM, MPH Other contributors: Amy Bennett, MPH Richard Burt, PhD Susan Buskin, PhD, MPH Christina Thibault, MPH Roxanne Pieper Kerani, PhD Eyal Oren, MS Shelly McKeirnan, RN, MPH Amy Laurent, MSPH Cover design and formatting by Tanya Hunnell The report is available at www.kingcounty.gov/health/hiv For additional copies of this report contact: HIV/AIDS Epidemiology Program Public Health – Seattle & King County 400 Yesler Way, 3rd Floor Seattle, WA 98104 206-296-4645 Intersecting Infections of Public Health Significance Page iii Table of Contents INDEX OF TABLES AND FIGURES ········································································ vi EXECUTIVE SUMMARY ······················································································ -
Chlamydial Genital Infection(Chlamydia Trachomatis)
Chlamydial Genital Infection (Chlamydia trachomatis) February 2003 1) THE DISEASE AND ITS EPIDEMIOLOGY A. Etiologic Agent Chlamydial genital infection (CGI) is caused by the obligate, intracellular bacterium Chlamydia trachomatis immunotypes D through K. B. Clinical Description and Laboratory Diagnosis A sexually transmitted genital infection that manifests in males primarily as urethritis and in females as mucopurulent cervicitis. Clinical manifestations are difficult to distinguish from gonorrhea. Males may present with a mucopurulent discharges of scanty to moderate quantity, urethral itching and dysuria. Asymptomatic infection may be found in 1%-25% of sexually active men. Possible complications include epididymitis, infertility and Reiter syndrome. Anorectal intercourse may result in chlamydial proctitis. Women frequently present with a mucopurulent endocervical discharge including edema, erythema and easily induced endocervical bleeding. However, most women with endocervical or urethral infections are asymptomatic. Possible complications include salpingitis with subsequent risk of infertility and ectopic pregnancy. Asymptomatic chronic infections of the endometrium and fallopian tubes may lead to the same outcomes. Less frequent manifestations include bartholinitis, urethral syndrome with dysuria and pyuria, perihepatitis (Fitz-Hugh-Curtis syndrome), and proctitis. Infection during pregnancy may result in premature rupture of membranes and preterm delivery and conjunctival and pneumonic infection of the newborn. Laboratory diagnosis is based upon the identification of Chlamydia in intraurethral or endocervical smear by direct immunofluorescence test, enzyme immunoassay, DNA probe, and nucleic acid amplification test (NAAT) or cell culture. NAAT can be used with urine specimens. C. Vectors and Reservoirs Humans. D. Modes of Transmission By sexual contact and through perinatal exposure to the mother’s infected cervix. -
2015 Infectious Disease Outbreak Summary Report
nfectious IDisease Outbreak Summary Report 2015 Arizona Department of Health Services Office of Infectious Disease Services 150 N 18th Ave., Suite 140 Phoenix, AZ 85007 602-364-3676 This page has intentionally been left blank. Contents 1.0 Executive Summary 1 2.0 Overview 2 2.1 Outbreak detection and response 2 2.2 Outbreak data sources 3 2.3 Outbreak performance goals 3 2.4 Outbreak reporting requirements. 4 2.5 2015 Outbreak | A High-level View 5 2.5.1 Number of confirmed outbreaks 5 2.5.2 Rule-out outbreaks, out-of-Arizona outbreaks, and clusters 5 2.5.3 Outbreaks by county 6 2.5.4 Outbreaks by month 7 2.5.5 Outbreak size 8 2.5.6 Method of identification 8 3.0 Outbreaks by disease category highlights 9 3.1 Outbreaks of gastrointestinal diseases 10 3.1.1 PFGE-matched clusters 11 3.1.2 Foodborne GI outbreaks 14 3.1.3 Person-to-person GI outbreaks 16 3.1.4 Zoonotic outbreaks 18 3.2 Outbreaks of vaccine-preventable diseases 18 3.2.1 Pertussis outbreaks 19 3.3 Outbreaks of respiratory illnesses. 19 3.3.1 Influenza outbreaks 20 4.0 Outbreaks by setting 21 4.1 Outbreaks in child care or school settings 22 4.2 Outbreaks in healthcare settlings 24 4.3 Outbreaks that occurred outside of Arizona 25 5.0 Notable outbreaks 26 5.1 Salmonella Paratyphi B var. L(+) tartrate(+) linked to imported raw tuna 26 5.2 Salmonella Poona linked to imported cucumbers 28 5.3 St.