Potential Transmission of Avian Influenza a (H5N1) Virus
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COVID-19: Perspective, Patterns and Evolving Strategies
COVID-19: Perspective, Patterns and Evolving strategies Subject Category: Clinical Virology Vinod Nikhra* Department of Medicine, Hindu Rao Hospital & NDMC Medical College, New Delhi, India Submitted: 02 June 2020 | Approved: 06 July 2020 | Published: 09 July 2020 Copyright: © 2020 Nikhra V. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. DOI: https://dx.doi.org/10.29328/ebook1003 ORCID: https://orcid.org/0000-0003-0859-5232 *Corresponding author: Dr. Vinod Nikhra, M.D. Consultant and Faculty, Department of Medicine, Hindu Rao Hospital & NDMC Medical College, New Delhi, India, Tel: 91-9810874937; Email: [email protected]; drvinodnikhra@rediff mail.com Open Access COVID-19: Perspective, Patterns and Evolving strategies Table of Contents - 7 Chapters Sl No Chapters Title Pages The Trans-Zoonotic Virome Interface: Measures to 1 Chapter 1 003-011 Balance, Control and Treat Epidemics Exploring Pathophysiology of COVID-19 Infection: Faux 2 Chapter 2 012-020 Espoir and Dormant Therapeutic Options The Agent and Host Factors in COVID-19: Exploring 3 Chapter 3 021-036 Pathogenesis and Therapeutic Implications Adverse Outcomes for Elderly in COVID-19: Annihilation 4 Chapter 4 037-047 of the Longevity Dream Identifying Patterns in COVID-19: Morbidity, Recovery, 5 Chapter 5 048-058 and the Aftermath The New Revelations: Little-known Facts about COVID-19 6 Chapter 6 059-068 and their Implications Fear, Reaction and Rational Behaviour to COVID-19 in 7 Chapter 7 069-076 Public, Health Professionals and Policy Planners La Confusion: Caring for COVID-19 patients 8 Postscript 077-079 and the raging, engulfi ng and debilitating pandemic 9 Acknowledgement 080-080 *Corresponding HTTPS://WWW.HEIGHPUBS.ORG author: Dr. -
Epidemiology and Clinical Characteristics of Influenza C Virus
viruses Review Epidemiology and Clinical Characteristics of Influenza C Virus Bethany K. Sederdahl 1 and John V. Williams 1,2,* 1 Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA; [email protected] 2 Institute for Infection, Inflammation, and Immunity in Children (i4Kids), University of Pittsburgh, Pittsburgh, PA 15224, USA * Correspondence: [email protected] Received: 30 December 2019; Accepted: 7 January 2020; Published: 13 January 2020 Abstract: Influenza C virus (ICV) is a common yet under-recognized cause of acute respiratory illness. ICV seropositivity has been found to be as high as 90% by 7–10 years of age, suggesting that most people are exposed to ICV at least once during childhood. Due to difficulty detecting ICV by cell culture, epidemiologic studies of ICV likely have underestimated the burden of ICV infection and disease. Recent development of highly sensitive RT-PCR has facilitated epidemiologic studies that provide further insights into the prevalence, seasonality, and course of ICV infection. In this review, we summarize the epidemiology and clinical characteristics of ICV. Keywords: orthomyxoviruses; influenza C; epidemiology 1. Introduction Influenza C virus (ICV) is lesser known type of influenza virus that commonly causes cold-like symptoms and sometimes causes lower respiratory infection, especially in children <2 years of age [1]. ICV is mainly a human pathogen; however, the virus has been detected in pigs, dogs, and cattle, and rare swine–human transmission has been reported [2–6]. ICV seropositivity has been found to be as high as 90% by 7–10 years of age, suggesting that most people are exposed to influenza C virus at least once during childhood [7,8]. -
Isolation of Influenza C Virus During the 1 999/2000 - Influenza Season in Hiroshima Prefecture, Japan
Jpn. J. Infect. Dis., 53, 2000 Laboratory and Epidemiology Communications Isolation of Influenza C Virus during the 1 999/2000 - Influenza Season in Hiroshima Prefecture, Japan Shinichi Takao*, Yoko MatsuzakiI , Yukie Shimazu, Shinji Fukuda, Masahiro Noda and Shizuyo Tbkumoto Division of Microbiology II, Hiroshima Prefectural Institute of Health and EnviylDnment, Minami-machi Il6-29, Minami-ku, Hiroshima 734-0007 and JDepartment ofBacleriology, Yamagata UniversiOJ School of Medicine, Iida-Nishi 2-2-2, Yamagata 990-9585 Communicated by Hiroo lnouye (Accepted August 16, 2000) Althoughinfluenza C virus is considered to be an etiological Vimses were isolated by uslng MDCK cells andノor 7-day- agent formi1d upper respiratory illness in humans (1), it ca.n old embryonated hen's eggs (Table). In MDCK cells, the also?ause lower resplratOry tract infection (2)・ Seroepidem1- viruses produced only weak cytopathic effects sand grew very 010glCal studies have revealed that the virus is prevalent slowly. Several passages were necessary to attain a hemag- worldwide and that infection occurs at an early stage in life (3,4)・ Howe.ver・ there is little information regarding its epidemiologlCal and clinical features because the virus has only occasionally been isolated (2,5,6). According to the Infectious Agents Surveillance Report in Japan, while 5,699 innueTza A(HIN 1 )virus isolates, 12,822 innuenzaA(H3N2) virus isolates and 5,232 influenza B virus isolates were reported in 1991-1996 in Japan, only 18 isolates ofinnuenza C virus were reported during the same period (7). In this paper, We report eight isolated cases of influenza C virus from the 1 999/2000 - influenza season in Hiroshima Prefecture, Japan. -
Assembling Evidence for Identifying Reservoirs of Infection
TREE-1806; No. of Pages 10 Review Assembling evidence for identifying reservoirs of infection 1 1,2 1,3 1 4 Mafalda Viana , Rebecca Mancy , Roman Biek , Sarah Cleaveland , Paul C. Cross , 3,5 1 James O. Lloyd-Smith , and Daniel T. Haydon 1 Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK 2 School of Computing Science, University of Glasgow, Glasgow G12 8QQ, UK 3 Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA 4 US Geological Survey, Northern Rocky Mountain Science Center 2327, University Way, Suite 2, Bozeman, MT 59715, USA 5 Department of Ecology and Evolutionary Biology, University of California at Los Angeles, Los Angeles, CA 90095, USA Many pathogens persist in multihost systems, making patterns of incidence and prevalence (see Glossary) that the identification of infection reservoirs crucial for result from the connectivity between source and target devising effective interventions. Here, we present a con- populations (black arrows in Figure I in Box 1). We then ceptual framework for classifying patterns of incidence review methods that allow us to identify maintenance or and prevalence, and review recent scientific advances nonmaintenance populations (squares or circles in Figure that allow us to study and manage reservoirs simulta- I, Box 1), how they are connected (arrows in Figure I, Box neously. We argue that interventions can have a crucial 1), and the role that each of these populations has in role in enriching our mechanistic understanding of how maintaining the pathogen (i.e., reservoir capacity). -
Variation in Antimicrobial Susceptibility Among Borrelia Burgdorferi Strains? Emir Hodzic*
BOSNIAN JOURNAL OF BASIC MEDICAL SCIENCES REVIEW WWW.BJBMS.ORG Lyme Borreliosis: is there a preexisting (natural) variation in antimicrobial susceptibility among Borrelia burgdorferi strains? Emir Hodzic* Real-Time PCR Research and Diagnostic Core Facility, School of Veterinary Medicine, University of California at Davis, California, United States of America ABSTRACT The development of antibiotics changed the world of medicine and has saved countless human and animal lives. Bacterial resistance/tolerance to antibiotics have spread silently across the world and has emerged as a major public health concern. The recent emergence of pan-resistant bacteria can overcome virtually any antibiotic and poses a major problem for their successful control. Selection for antibiotic resistance may take place where an antibiotic is present: in the skin, gut, and other tissues of humans and animals and in the environment. Borrelia burgdorferi, the etiological agents of Lyme borreliosis, evades host immunity and establishes persistent infections in its mammalian hosts. The persistent infection poses a challenge to the effective antibiotic treatment, as demonstrated in various animal models. An increasingly heterogeneous sub- population of replicatively attenuated spirochetes arises following treatment, and these persistent antimicrobial tolerant/resistant spirochetes are non-cultivable. The non-cultivable spirochetes resurge in multiple tissues at 12 months after treatment, withB. burgdorferi-specific DNA copy levels nearly equivalent to those found in shame-treated experimental animals. These attenuated spirochetes remain viable, but divide slowly, thereby being tolerant to antibiotics. Despite the continued non-cultivable state, RNA transcription of multiple B. burgdorferi genes was detected in host tissues, spirochetes were acquired by xenodiagnostic ticks, and spirochetal forms could be visualized within ticks and mouse tissues. -
Impact of Babesia Microti Infection on the Initiation and Course Of
Tołkacz et al. Parasites Vectors (2021) 14:132 https://doi.org/10.1186/s13071-021-04638-0 Parasites & Vectors RESEARCH Open Access Impact of Babesia microti infection on the initiation and course of pregnancy in BALB/c mice Katarzyna Tołkacz1,2*, Anna Rodo3, Agnieszka Wdowiarska4, Anna Bajer1† and Małgorzata Bednarska5† Abstract Background: Protozoa in the genus Babesia are transmitted to humans through tick bites and cause babesiosis, a malaria-like illness. Vertical transmission of Babesia spp. has been reported in mammals; however, the exact timing and mechanisms involved are not currently known. The aims of this study were to evaluate the success of vertical transmission of B. microti in female mice infected before pregnancy (mated during the acute or chronic phases of Babesia infection) and that of pregnant mice infected during early and advanced pregnancy; to evaluate the pos- sible infuence of pregnancy on the course of parasite infections (parasitaemia); and to assess pathological changes induced by parasitic infection. Methods: The frst set of experiments involved two groups of female mice infected with B. microti before mating, and inseminated on the 7th day and after the 40th day post infection. A second set of experiments involved female mice infected with B. microti during pregnancy, on the 4th and 12th days of pregnancy. Blood smears and PCR targeting the 559 bp 18S rRNA gene fragment were used for the detection of B. microti. Pathology was assessed histologically. Results: Successful development of pregnancy was recorded only in females mated during the chronic phase of infection. The success of vertical transmission of B. -
MODELING the SPREAD of the 1918 INFLUENZA PANDEMIC in a NEWFOUNDLAND COMMUNITY a Dissertation Presented to the Faculty of the Gr
MODELING THE SPREAD OF THE 1918 INFLUENZA PANDEMIC IN A NEWFOUNDLAND COMMUNITY A Dissertation presented to the Faculty of the Graduate School at the University of Missouri In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy By JESSICA LEA DIMKA Dr. Lisa Sattenspiel, Dissertation Supervisor MAY 2015 The undersigned, appointed by the dean of the Graduate School, have examined the dissertation entitled MODELING THE SPREAD OF THE 1918 INFLUENZA PANDEMIC IN A NEWFOUNDLAND COMMUNITY Presented by Jessica Lea Dimka A candidate for the degree of Doctor of Philosophy And hereby certify that, in their opinion, it is worthy of acceptance. Professor Lisa Sattenspiel Professor Gregory Blomquist Professor Mary Shenk Professor Enid Schatz ACKNOWLEDGEMENTS This research could not have been completed without the support and guidance of many people who deserve recognition. Dr. Lisa Sattenspiel provided the largest amount of assistance and insight into this project, from initial development through model creation and data analysis to the composition of this manuscript. She has been an excellent mentor over the last seven years. I would also like to extend my gratitude to my committee members – Dr. Greg Blomquist, Dr. Mary Shenk, and Dr. Enid Schatz – for their advice, comments, patience and time. I also would like to thank Dr. Craig Palmer for his insight and support on this project. Additionally, I am grateful to Dr. Allison Kabel, who has provided me with valuable experience, advice and support in my research and education activities while at MU. Many thanks go to the librarians and staff of the Provincial Archives of Newfoundland and Labrador and the Centre for Newfoundland Studies at Memorial University of Newfoundland. -
Hutchinson, EC, & Yamauchi, Y
Hutchinson, E. C., & Yamauchi, Y. (2018). Understanding Influenza. In Influenza Virus: Methods and Protocols (pp. 1-21). (Methods in Molecular Biology; Vol. 1836). Humana Press. https://doi.org/10.1007/978-1-4939-8678-1_1 Peer reviewed version Link to published version (if available): 10.1007/978-1-4939-8678-1_1 Link to publication record in Explore Bristol Research PDF-document This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Springer Nature at https://link.springer.com/protocol/10.1007%2F978-1-4939-8678-1_1. Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ Understanding Influenza Edward C. Hutchinson1* and Yohei Yamauchi2* 1MRC-University of Glasgow Centre for Virus Research; 2School of Cellular and Molecular Medicine, University of Bristol. *Corresponding authors: [email protected], [email protected] Running Head: Understanding Influenza Abstract Influenza, a serious illness of humans and domesticated animals, has been studied intensively for many years. It therefore provides an example of how much we can learn from detailed studies of an infectious disease, and of how even the most intensive scientific research leaves further questions to answer. This introduction is written for researchers who have become interested in one of these unanswered questions, but who may not have previously worked on influenza. -
COVID-Flu Multiplex Assay
July 1, 2021 Corey Yackel Senior Regulatory Affairs Specialist Exact Sciences Laboratories 650 Forward Drive Madison, WI 53711 Device: COVID-Flu Multiplex Assay EUA Number: EUA203022 Company: Exact Sciences Laboratories Indication: Simultaneous qualitative detection and differentiation of nucleic acid from SARS-CoV-2, influenza A virus and/or influenza B virus in anterior nasal swab specimens self-collected in a healthcare setting by individuals suspected of respiratory viral infection consistent with COVID-19 by a healthcare provider. This test is also for use with anterior nasal swab specimens that are (1) self-collected at home by individuals age 18 years and older using the Exact Sciences Nasal Swab Home Collection Kit when home collection is determined to be appropriate by a healthcare provider, or (2) collected using the Everlywell COVID-19 & Flu Test Home Collection Kit when used consistent with its authorization. Emergency use of this test is limited to the authorized laboratory. Authorized Laboratory: Testing is limited to Exact Sciences Laboratories, located at 650 Forward Drive, Madison, WI 53711, which is certified under the Clinical Laboratory Improvement Amendments of 1988 (CLIA), 42 U.S.C. § 263a, and meets the requirements to perform high complexity tests. Dear Ms. Yackel: This letter is in response to your1 request that the Food and Drug Administration (FDA) issue an Emergency Use Authorization (EUA) for emergency use of your product,2 pursuant to Section 564 of the Federal Food, Drug, and Cosmetic Act (the Act) (21 U.S.C. §360bbb-3). 1 For ease of reference, this letter will use the term “you” and related terms to refer to Exact Sciences Laboratories. -
Detection of Influenza C Viruses Among Outpatients and Patients Hospitalized for Severe Acute Respiratory Infection, Minnesota, 2013–2016
View metadata, citation and similar papers at core.ac.uk brought to you by CORE HHS Public Access provided by CDC Stacks Author manuscript Author ManuscriptAuthor Manuscript Author Clin Infect Manuscript Author Dis. Author manuscript; Manuscript Author available in PMC 2019 March 19. Published in final edited form as: Clin Infect Dis. 2018 March 19; 66(7): 1092–1098. doi:10.1093/cid/cix931. Detection of influenza C viruses among outpatients and patients hospitalized for severe acute respiratory infection, Minnesota, 2013–2016 Beth K. Thielen, MD, PhD1, Hannah Friedlander, MPH2, Sarah Bistodeau, BS2, Bo Shu, PhD3, Brian Lynch3, Karen Martin, MPH2, Erica Bye, MPH2, Kathyrn Como-Sabetti, MPH2, David Boxrud, MS2, Anna K. Strain, PhD2, Sandra S. Chaves, MD, MSc3, Andrea Steffens, MPH3, Ashley L. Fowlkes, MPH3, Stephen Lindstrom, PhD3, and Ruth Lynfield, MD2 1Division of Infectious Diseases and International Medicine and Division of Pediatric Infectious Diseases, and Immunology, University of Minnesota, Minneapolis, MN 2Minnesota Department of Health (MDH), St. Paul, MN 3National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA Abstract Background—Existing literature suggests that influenza C typically causes mild respiratory tract disease. However, clinical and epidemiological data are limited. Methods—Four outpatient clinics and three hospitals submitted clinical data and respiratory specimens through a surveillance network for acute respiratory infection (ARI) during May 2013 through December 2016. Specimens were tested using multi-target nucleic acid amplification tests (NAAT) for 19–22 respiratory pathogens, including influenza C. Results—Influenza C virus was detected among 59 of 10,202 (0.58%) hospitalized SARI cases and 11 of 2,282 (0.48%) outpatients. -
Prediction and Prevention of the Next Pandemic Zoonosis
Series Zoonoses 3 Prediction and prevention of the next pandemic zoonosis Stephen S Morse, Jonna A K Mazet, Mark Woolhouse, Colin R Parrish, Dennis Carroll, William B Karesh, Carlos Zambrana-Torrelio, W Ian Lipkin, Peter Daszak Lancet 2012; 380: 1956–65 Most pandemics—eg, HIV/AIDS, severe acute respiratory syndrome, pandemic infl uenza—originate in animals, See Comment pages 1883 are caused by viruses, and are driven to emerge by ecological, behavioural, or socioeconomic changes. Despite their and 1884 substantial eff ects on global public health and growing understanding of the process by which they emerge, no This is the third in a Series of pandemic has been predicted before infecting human beings. We review what is known about the pathogens that three papers about zoonoses emerge, the hosts that they originate in, and the factors that drive their emergence. We discuss challenges to their Mailman School of Public control and new eff orts to predict pandemics, target surveillance to the most crucial interfaces, and identify Health (Prof S S Morse PhD), and Center for Infection and prevention strategies. New mathematical modelling, diagnostic, communications, and informatics technologies can Immunity (Prof W I Lipkin MD); identify and report hitherto unknown microbes in other species, and thus new risk assessment approaches are Columbia University, needed to identify microbes most likely to cause human disease. We lay out a series of research and surveillance New York, NY, USA; One Health opportunities and goals that could help to overcome these challenges and move the global pandemic strategy from Institute, School of Veterinary Medicine, University of response to pre-emption. -
Bats Are a Major Natural Reservoir for Hepaciviruses and Pegiviruses
Bats are a major natural reservoir for hepaciviruses and pegiviruses Phenix-Lan Quana,1, Cadhla Firtha, Juliette M. Contea, Simon H. Williamsa, Carlos M. Zambrana-Torreliob, Simon J. Anthonya,b, James A. Ellisonc, Amy T. Gilbertc, Ivan V. Kuzminc,2, Michael Niezgodac, Modupe O. V. Osinubic, Sergio Recuencoc, Wanda Markotterd, Robert F. Breimane, Lems Kalembaf, Jean Malekanif, Kim A. Lindbladeg, Melinda K. Rostalb, Rafael Ojeda-Floresh, Gerardo Suzanh, Lora B. Davisi, Dianna M. Blauj, Albert B. Ogunkoyak, Danilo A. Alvarez Castillol, David Moranl, Sali Ngamm, Dudu Akaiben, Bernard Agwandao, Thomas Briesea, Jonathan H. Epsteinb, Peter Daszakb, Charles E. Rupprechtc,3, Edward C. Holmesp, and W. Ian Lipkina aCenter for Infection and Immunity, Mailman School of Public Health, Columbia University, New York, NY 10032; bEcoHealth Alliance, New York, NY 10001; cPoxvirus and Rabies Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333; dDepartment of Microbiology and Plant Pathology, University of Pretoria, Pretoria 0002, South Africa; eCenters for Disease Control and Prevention in Kenya, Nairobi, Kenya; fUniversity of Kinshasa, Kinshasa 11, Democratic Republic of the Congo; gCenters for Disease Control and Prevention Guatemala, 01015, Guatemala City, Guatemala; hFacultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Ciudad Universitaria, 04510 México D. F., Mexico; iCenters for Disease Control and Prevention Nigeria, Abuja, Nigeria; jInfectious Diseases Pathology Branch, Division of High-Consequence Pathogens and Pathology, National Center for Emerging Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333; kDepartment of Veterinary Medicine, Ahmadu Bello University, Samaru, Zaria, Kaduna State, Nigeria; lCenter for Health Studies, Universidad del Valle de Guatemala, 01015, Guatemala City, Guatemala; mLaboratoire National Vétérinaire, B.P.