key: cord-0979695-clxza5zy
authors: Stefanea, Rucinski L.; Binnicker, Matthew J.; Thomas, Amber S.; Patel, Robin
title: Seasonality of Coronavirus 229E, HKU1, NL63 and OC43 from 2014-2020
date: 2020-06-06
journal: Mayo Clin Proc
DOI: 10.1016/j.mayocp.2020.05.032
sha: 9e54bbe805a44db56a03284ebc2901d0587d9ff1
doc_id: 979695
cord_uid: clxza5zy

Abstract The possibility of seasonality of Covid-19 is being discussed; here we show clinical microbiology laboratory data illustrating seasonality of coronaviruses 229E, HKU1, NL63 and OC43. The data shown are specific to the four studied coronaviruses, and may or may not generalize to Covid-19.

The possibility of seasonality of Covid-19 is being discussed; here we show clinical 5 microbiology laboratory data illustrating seasonality of coronaviruses 229E, HKU1, NL63 and 6 OC43. The data shown are specific to the four studied coronaviruses, and may or may not 7 generalize to There is speculation about the possible seasonality of Covid-19; while multi-year data are 9 not available for this coronavirus, United States Food and Drug Administration approved/cleared 10 multiplex respiratory panels have been available for testing for coronaviruses 229E, HKU1, 11 NL63 and OC43 for almost a decade. 1 Our group has described the use of high-volume clinical 12 microbiology laboratory data to visualize seasonality of infectious agents, including Bordetella 13 pertussis, 2 and Legionella species. 3 Here, data collected from results of the BIOFIRE ® 14 

Syndromic panel-based testing 70 in clinical microbiology

Eight-year 72 review of Bordetella pertussis testing reveals seasonal pattern in the United States

Eight years 75 of clinical Legionella PCR testing illustrates a seasonal pattern

Potential impact of seasonal 78 forcing on a SARS-CoV-2 pandemic

Diversity and evolutionary histories of human 80

coronaviruses NL63 and 229E associated with acute upper respiratory tract symptoms in 81

Human coronavirus infections in Israel: epidemiology, clinical symptoms and summer 84 seasonality of HCoV-HKU1. Viruses

Longitudinal active sampling for respiratory viral 86 infections across age groups. Influenza Other Respir Viruses

Typical epidemiology of respiratory virus 88 infections in a Brazilian slum

Epidemiology of human coronavirus NL63 infection 90 among hospitalized patients with pneumonia in Taiwan

Human coronavirus circulation in the United 93 States 2014-2017

Stability of SARS-CoV-2 in different 95 environmental conditions

Climate factors and incidence of Middle East respiratory 97 syndrome coronavirus

Differences in the seasonality of Middle East 99 respiratory syndrome coronavirus and influenza in the Middle East

Underlying trend, seasonality, prediction, forecasting and the 102 contribution of risk factors: an analysis of globally reported cases of Middle East