COVID-19 Report
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List N: Products with Emerging Viral Pathogens and Human Coronavirus Claims for Use Against SARS-Cov-2 Date Accessed: 06/12/2020
List N: Products with Emerging Viral Pathogens AND Human Coronavirus claims for use against SARS-CoV-2 Date Accessed: 06/12/2020 EPA Active Ingredient(s) Product Company To kill SARS- Contact Formulation Surface Use Sites Emerging Date Registration Name CoV-2 Time (in Type Types Viral Added to Number (COVID-19), minutes) Pathogen List N follow Claim? disinfection directions for the following virus(es) 1677-202 Quaternary ammonium 66 Heavy Duty Ecolab Inc Norovirus 2 Dilutable Hard Healthcare; Yes 06/04/2020 Alkaline Nonporous Institutional Bathroom (HN) Cleaner and Disinfectant 10324-81 Quaternary ammonium Maquat 7.5-M Mason Norovirus; 10 Dilutable Hard Healthcare; Yes 06/04/2020 Chemical Feline Nonporous Institutional; Company calicivirus (HN); Food Residential Contact Post-Rinse Required (FCR); Porous (P) (laundry presoak only) 4822-548 Triethylene glycol; Scrubbing S.C. Johnson Rotavirus 5 Pressurized Hard Residential Yes 06/04/2020 Quaternary ammonium Bubbles® & Son Inc liquid Nonporous Multi-Purpose (HN) Disinfectant 1839-167 Quaternary ammonium BTC 885 Stepan Rotavirus 10 Dilutable Hard Healthcare; Yes 05/28/2020 Neutral Company Nonporous Institutional; Disinfectant (HN) Residential Cleaner-256 93908-1 Hypochlorous acid Envirolyte O & Aqua Norovirus 10 Ready-to-use Hard Healthcare; Yes 05/28/2020 G Engineered Nonporous Institutional; Solution Inc (HN); Food Residential Contact Post-Rinse www.epa.gov/pesticide-registration/list-n-disinfectants-use-against-sars-cov-2 1 of 66 EPA Active Ingredient(s) Product Company To kill SARS- Contact -
Prospects of Replication-Deficient Adenovirus Based Vaccine Development Against SARS-Cov-2
Brief Report Prospects of Replication-Deficient Adenovirus Based Vaccine Development against SARS-CoV-2 Mariangela Garofalo 1,* , Monika Staniszewska 2 , Stefano Salmaso 1 , Paolo Caliceti 1, Katarzyna Wanda Pancer 3, Magdalena Wieczorek 3 and Lukasz Kuryk 3,4,* 1 Department of Pharmaceutical and Pharmacological Sciences, University of Padova, Via F. Marzolo 5, 35131 Padova, Italy; [email protected] (S.S.); [email protected] (P.C.) 2 Chair of Drug and Cosmetics Biotechnology, Faculty of Chemistry, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland; [email protected] 3 Department of Virology, National Institute of Public Health—National Institute of Hygiene, Chocimska 24, 00-791 Warsaw, Poland; [email protected] (K.W.P.); [email protected] (M.W.) 4 Clinical Science, Targovax Oy, Saukonpaadenranta 2, 00180 Helsinki, Finland * Correspondence: [email protected] (M.G.); [email protected] (L.K.) Received: 1 May 2020; Accepted: 6 June 2020; Published: 10 June 2020 Abstract: The current appearance of the new SARS coronavirus 2 (SARS-CoV-2) and it quickly spreading across the world poses a global health emergency. The serious outbreak position is affecting people worldwide and requires rapid measures to be taken by healthcare systems and governments. Vaccinations represent the most effective strategy to prevent the epidemic of the virus and to further reduce morbidity and mortality with long-lasting effects. Nevertheless, currently there are no licensed vaccines for the novel coronaviruses. Researchers and clinicians from all over the world are advancing the development of a vaccine against novel human SARS-CoV-2 using various approaches. -
Estimating the Serial Interval of the Novel Coronavirus Disease (COVID
medRxiv preprint doi: https://doi.org/10.1101/2020.02.21.20026559; this version posted February 25, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 Estimating the serial interval of the novel coronavirus disease 2 (COVID-19): A statistical analysis using the public data in Hong Kong 3 from January 16 to February 15, 2020 4 Shi Zhao1,2,*, Daozhou Gao3, Zian Zhuang4, Marc KC Chong1,2, Yongli Cai5, Jinjun Ran6, Peihua Cao7, Kai 5 Wang8, Yijun Lou4, Weiming Wang5,*, Lin Yang9, Daihai He4,*, and Maggie H Wang1,2 6 7 1 JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, China 8 2 Shenzhen Research Institute of Chinese University of Hong Kong, Shenzhen, China 9 3 Department of Mathematics, Shanghai Normal University, Shanghai, China 10 4 Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China 11 5 School of Mathematics and Statistics, Huaiyin Normal University, Huaian, China 12 6 School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China 13 7 Clinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China 14 8 Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830011, China 15 9 School of Nursing, Hong Kong Polytechnic University, Hong Kong, China 16 * Correspondence -
A Human Coronavirus Evolves Antigenically to Escape Antibody Immunity
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.17.423313; this version posted December 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. A human coronavirus evolves antigenically to escape antibody immunity Rachel Eguia1, Katharine H. D. Crawford1,2,3, Terry Stevens-Ayers4, Laurel Kelnhofer-Millevolte3, Alexander L. Greninger4,5, Janet A. Englund6,7, Michael J. Boeckh4, Jesse D. Bloom1,2,# 1Basic Sciences and Computational Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA 2Department of Genome Sciences, University of Washington, Seattle, WA, USA 3Medical Scientist Training Program, University of Washington, Seattle, WA, USA 4Vaccine and Infectious Diseases Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA 5Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA 6Seattle Children’s Research Institute, Seattle, WA USA 7Department of Pediatrics, University of Washington, Seattle, WA USA 8Howard Hughes Medical Institute, Seattle, WA 98109 #Corresponding author. E-mail: [email protected] Abstract There is intense interest in antibody immunity to coronaviruses. However, it is unknown if coronaviruses evolve to escape such immunity, and if so, how rapidly. Here we address this question by characterizing the historical evolution of human coronavirus 229E. We identify human sera from the 1980s and 1990s that have neutralizing titers against contemporaneous 229E that are comparable to the anti-SARS-CoV-2 titers induced by SARS-CoV-2 infection or vaccination. -
Common Human Coronaviruses
Common Human Coronaviruses Common human coronaviruses, including types 229E, NL63, OC43, and HKU1, usually cause mild to moderate upper-respiratory tract illnesses, like the common cold. Most people get infected with one or more of these viruses at some point in their lives. This information applies to common human coronaviruses and should not be confused with Coronavirus Disease-2019 (formerly referred to as 2019 Novel Coronavirus). Symptoms of common human coronaviruses Treatment for common human coronaviruses • runny nose • sore throat There is no vaccine to protect you against human • headache • fever coronaviruses and there are no specific treatments for illnesses caused by human coronaviruses. Most people with • cough • general feeling of being unwell common human coronavirus illness will recover on their Human coronaviruses can sometimes cause lower- own. However, to relieve your symptoms you can: respiratory tract illnesses, such as pneumonia or bronchitis. • take pain and fever medications (Caution: do not give This is more common in people with cardiopulmonary aspirin to children) disease, people with weakened immune systems, infants, and older adults. • use a room humidifier or take a hot shower to help ease a sore throat and cough Transmission of common human coronaviruses • drink plenty of liquids Common human coronaviruses usually spread from an • stay home and rest infected person to others through If you are concerned about your symptoms, contact your • the air by coughing and sneezing healthcare provider. • close personal contact, like touching or shaking hands Testing for common human coronaviruses • touching an object or surface with the virus on it, then touching your mouth, nose, or eyes before washing Sometimes, respiratory secretions are tested to figure out your hands which specific germ is causing your symptoms. -
The Serial Interval of COVID-19 from Publicly Reported Confirmed Cases
medRxiv preprint doi: https://doi.org/10.1101/2020.02.19.20025452; this version posted March 13, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Title: The serial interval of COVID-19 from publicly reported confirmed cases Running Head: The serial interval of COVID-19 1,+ 2+ 3,4+ 5, 6 Authors: Zhanwei Du , Xiaoke Xu , Ye Wu , Lin Wang , Benjamin J. Cowling , and Lauren Ancel Meyers1,7* Affiliations: 1. The University of Texas at Austin, Austin, Texas 78712, The United States of America 2. Dalian Minzu University, Dalian 116600, China 3. Computational Communication Research Center, Beijing Normal University, Zhuhai, 519087, China 4. School of Journalism and Communication, Beijing Normal University, Beijing, 100875, China 5. Institut Pasteur, 28 rue du Dr Roux, Paris 75015, France 6. The University of Hong Kong, Hong Kong SAR, China 7. Santa Fe Institute, Santa Fe, New Mexico, The United States of America Corresponding author: Lauren Ancel Meyers Corresponding author email: [email protected] + These first authors contributed equally to this article Short Abstract (50 words) We estimate the distribution of serial intervals for 468 confirmed cases of COVID-19 reported in 93 Chinese cities by February 8, 2020. The mean and standard deviation are 3.96 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. -
Early Surveillance and Public Health Emergency Responses Between Novel Coronavirus Disease 2019 and Avian Influenza in China: a Case-Comparison Study
ORIGINAL RESEARCH published: 10 August 2021 doi: 10.3389/fpubh.2021.629295 Early Surveillance and Public Health Emergency Responses Between Novel Coronavirus Disease 2019 and Avian Influenza in China: A Case-Comparison Study Tiantian Zhang 1,3†, Qian Wang 2†, Ying Wang 2, Ge Bai 2, Ruiming Dai 2 and Li Luo 2,3,4* 1 School of Social Development and Public Policy, Fudan University, Shanghai, China, 2 School of Public Health, Fudan University, Shanghai, China, 3 Key Laboratory of Public Health Safety of the Ministry of Education and Key Laboratory of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, China, 4 Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China Background: Since the novel coronavirus disease (COVID-19) has been a worldwide pandemic, the early surveillance and public health emergency disposal are considered crucial to curb this emerging infectious disease. However, studies of COVID-19 on this Edited by: Paul Russell Ward, topic in China are relatively few. Flinders University, Australia Methods: A case-comparison study was conducted using a set of six key time Reviewed by: nodes to form a reference framework for evaluating early surveillance and public health Lidia Kuznetsova, University of Barcelona, Spain emergency disposal between H7N9 avian influenza (2013) in Shanghai and COVID-19 in Giorgio Cortassa, Wuhan, China. International Committee of the Red Cross, Switzerland Findings: A report to the local Center for Disease Control and Prevention, China, for *Correspondence: the first hospitalized patient was sent after 6 and 20 days for H7N9 avian influenza and Li Luo COVID-19, respectively. -
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). -
High-Throughput Human Primary Cell-Based Airway Model for Evaluating Infuenza, Coronavirus, Or Other Respira- Tory Viruses in Vitro
www.nature.com/scientificreports OPEN High‑throughput human primary cell‑based airway model for evaluating infuenza, coronavirus, or other respiratory viruses in vitro A. L. Gard1, R. J. Luu1, C. R. Miller1, R. Maloney1, B. P. Cain1, E. E. Marr1, D. M. Burns1, R. Gaibler1, T. J. Mulhern1, C. A. Wong1, J. Alladina3, J. R. Coppeta1, P. Liu2, J. P. Wang2, H. Azizgolshani1, R. Fennell Fezzie1, J. L. Balestrini1, B. C. Isenberg1, B. D. Medof3, R. W. Finberg2 & J. T. Borenstein1* Infuenza and other respiratory viruses present a signifcant threat to public health, national security, and the world economy, and can lead to the emergence of global pandemics such as from COVID‑ 19. A barrier to the development of efective therapeutics is the absence of a robust and predictive preclinical model, with most studies relying on a combination of in vitro screening with immortalized cell lines and low‑throughput animal models. Here, we integrate human primary airway epithelial cells into a custom‑engineered 96‑device platform (PREDICT96‑ALI) in which tissues are cultured in an array of microchannel‑based culture chambers at an air–liquid interface, in a confguration compatible with high resolution in‑situ imaging and real‑time sensing. We apply this platform to infuenza A virus and coronavirus infections, evaluating viral infection kinetics and antiviral agent dosing across multiple strains and donor populations of human primary cells. Human coronaviruses HCoV‑NL63 and SARS‑CoV‑2 enter host cells via ACE2 and utilize the protease TMPRSS2 for spike protein priming, and we confrm their expression, demonstrate infection across a range of multiplicities of infection, and evaluate the efcacy of camostat mesylate, a known inhibitor of HCoV‑NL63 infection. -
Serial Interval of COVID-19 Among Publicly Reported Confirmed Cases
RESEARCH LETTERS of an outbreak of 2019 novel coronavirus diseases and the extent of interventions required to control (COVID-19)—China, 2020. China CDC Weekly 2020 [cited an epidemic (3). 2020 Feb 29]. http://weekly.chinacdc.cn/en/article/id/ e53946e2-c6c4-41e9-9a9b-fea8db1a8f51 To obtain reliable estimates of the serial interval, we obtained data on 468 COVID-19 transmission events Address for correspondence: Nick Wilson, Department of reported in mainland China outside of Hubei Province Public Health, University of Otago Wellington, Mein St, during January 21–February 8, 2020. Each report con- Newtown, Wellington 6005, New Zealand; email: sists of a probable date of symptom onset for both the [email protected] infector and infectee, as well as the probable locations of infection for both case-patients. The data include only confirmed cases compiled from online reports from 18 provincial centers for disease control and prevention (https://github.com/MeyersLabUTexas/COVID-19). Fifty-nine of the 468 reports indicate that the in- fectee had symptoms earlier than the infector. Thus, presymptomatic transmission might be occurring. Given these negative-valued serial intervals, COV- ID-19 serial intervals seem to resemble a normal distri- bution more than the commonly assumed gamma or Serial Interval of COVID-19 Weibull distributions (4,5), which are limited to posi- among Publicly Reported tive values (Appendix, https://wwwnc.cdc.gov/EID/ Confirmed Cases article/26/7/20-0357-App1.pdf). We estimate a mean serial interval for COVID-19 of 3.96 (95% CI 3.53–4.39) days, with an SD of 4.75 (95% CI 4.46–5.07) days (Fig- Zhanwei Du,1 Xiaoke Xu,1 Ye Wu,1 Lin Wang, ure), which is considerably lower than reported mean Benjamin J. -
Astrovirus-Like, Coronavirus-Like, and Parvovirus-Like Particles Detected in the Diarrheal Stools of Beagle Pups
Archives of Virology Archives of Virology 66, 2t5--226 (1980) © by Springer-Verlag 1980 Astrovirus-Like, Coronavirus-Like, and Parvovirus-Like Partieles Detected in the Diarrheal Stools of Beagle Pups By F. P. WILLIAMS, JR. Health Effects Research Laboratory, U.S. Environmental Protection Agency, Cincinnati, Ohio, U.S.A. With 5 Figures Accepted May 26, 1980 Summary Astrovirus-like, coronavirus-like, and parvovirus-like particles were detected through electron microscopic (EM) examination of loose and diarrheal stools from a litter of beagle pups. Banding patterns obtained from equilibrium centrifuga- tions in CsC1 supported the EM identification. Densities associated with the identified particles were : 1.34 g/ml for astrovirus, 1.39 g/ml for "full" parvovirus, and 1.24--1.26 g/ml for "typical" coronavirus. Convalescent sera from the pups aggregated these three particle types as observed by immunoelectron microscopy (IEM). Only coronavirus-like particles were later detected in formed stools from these same pups. Coronavirus and parvo-likc viruses arc recognized agents of canine viral enteritis, however, astrovirus has not been previously reported in dogs. Introduction A number of virus-like particles detected in fecal material by electron micro- scopy (EM) have been found to manifest sufficiently distinct morphology to warrant individual classification. Such readily identified agents include: rota- virus (11), coronavirus (30), adenovirus (12), ealieivirus (20), and possibly-mini- reo/rotavirus (23, 29). Astrovirus, another characteristic agent identified by EIM, was originally associated with infantile gastroenteritis (18, 19). Subsequent investigations confirmed the identification of this agent in stools of newborns with acute non- bacterial gastroenteritis (16), and in outbreaks of gastroenteritis involving chil- dren and adults (2, 15). -
Prevent Worker Exposure to Coronavirus (COVID-19)
Prevent Worker Exposure to Coronavirus (COVID-19) The novel coronavirus, SARS-CoV-2, which causes COVID-19, spreads from person-to-person, primarily through respiratory droplets produced when an infected person coughs or sneezes. The virus is also believed to spread by people touching a surface or object and then touching one’s mouth, nose, or possibly the eyes. Employers and workers should follow these general practices to help prevent exposure to coronavirus: Frequently wash your hands with soap and water for at least 20 seconds. If soap and running water are not available, use an alcohol-based hand rub that contains at least 60% alcohol. Avoid touching your eyes, nose, or mouth with unwashed hands. Avoid close contact with people who are sick. Employers of workers with potential occupational exposures to coronavirus should follow these practices: Assess the hazards to which workers may be exposed. Evaluate the risk of exposure. Select, implement, and ensure workers use controls to prevent exposure, including physical barriers to control the spread of the virus; social distancing; and appropriate personal protective equipment, hygiene, and cleaning supplies. For the latest information on the symptoms, prevention, and treatment of coronavirus, visit the Centers for Disease Control and Prevention coronavirus webpage. For interim guidance and other resources on protecting workers from coronavirus, visit OSHA’s COVID-19 webpage. OSHA issues alerts to draw attention to worker safety and health issues and solutions. 2020 3 0 - 9 398 • osha.gov/covid-19 • 1-800-321-OSHA (6742) • @OSHA_DOL OSHA OSHA .