Literature DB >> 32201354

SARS-CoV-2: fear versus data.

Yanis Roussel1, Audrey Giraud-Gatineau2, Marie-Thérèse Jimeno3, Jean-Marc Rolain1, Christine Zandotti1, Philippe Colson1, Didier Raoult4.   

Abstract

SARS-CoV-2, the novel coronavirus from China, is spreading around the world, causing a huge reaction despite its current low incidence outside China and the Far East. Four common coronaviruses are in current circulation and cause millions of cases worldwide. This article compares the incidence and mortality rates of these four common coronaviruses with those of SARS-CoV-2 in Organisation for Economic Co-operation and Development countries. It is concluded that the problem of SARS-CoV-2 is probably being overestimated, as 2.6 million people die of respiratory infections each year compared with less than 4000 deaths for SARS-CoV-2 at the time of writing.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  COVID-19; Coronavirus; SARS-CoV-2

Mesh:

Year:  2020        PMID: 32201354      PMCID: PMC7102597          DOI: 10.1016/j.ijantimicag.2020.105947

Source DB:  PubMed          Journal:  Int J Antimicrob Agents        ISSN: 0924-8579            Impact factor:   5.283


Introduction

Coronaviridae represent a very important family of animal and human viruses [1,2] that are in permanent circulation. Four common human coronaviruses (HKU1, NL63, OC43 and E229) cause 10–20% of respiratory infections worldwide and are present in all continents [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14] (Table 1 ). Mortality is poorly assessed, but it is clear that there are chronic carriers as well as asymptomatic carriers. Studies have shown that there are as many asymptomatic carriers as symptomatic patients [3,9]. Three epidemic episodes of emerging coronaviruses have been reported. The first, severe acute respiratory syndrome (SARS) coronavirus, had very little impact on global morbidity and mortality, with more than 8000 recognized cases and 774 deaths [15,16]. The second, Middle East respiratory syndrome (MERS)-coronavirus, remained localized in Saudi Arabia, with a small epidemic of mainly nosocomial infections in South Korea [17]. MERS-coronavirus, like SARS-coronavirus, highlighted the major danger of nosocomial transmission to healthcare personnel, the health of whom is essential in these epidemics [18]. Finally, SARS-CoV-2, the novel coronavirus that appeared in December 2019, has expanded and has now affected more than 90 000 people worldwide [2,19,20]. At the time of writing, a significant number of cases had occurred in the Far East. It is incontestably contagious, as a quasi-experimental study on the Diamond Princess cruise ship showed that confinement of infected patients with uninfected patients resulted in rapid infection of the uninfected patients, leading to 700 additional cases on board [21]. However, coronaviruses in common circulation remain predominant because of their global distribution and their non-negligible mortality [14,22]. The aim of this study was to share the experience of a reference laboratory representing approximately 1% of serious and diagnosed respiratory infections, particularly seasonal, in France. This will allow the evaluation of the relative mortality of different human coronaviruses presented in hospitals in Marseille compared with that of SARS-CoV-2.
Table 1

Studies that tested for coronavirus in patients with fever in various countries

First author [reference number]CountryTested cases (n)Diagnosis of coronavirus
Trombetta [7]Brazil7757.6%
Zhang [10]Guangzou, China13 048244 (2.25%)
Zeng [11]Guangzou, China11 399489 (4.3%)
Killerby [14]USA18 8062.2%
Kiyuka [13]Kenya557310.1%
Owusu [9]Ghana593 cases13.7%
Dube [30]South Africa620 controls214 (tuberculosis)10.5%8%
Sipulwa [12]Kenya4178.4%
Subramoney [31]South Africa8604.8%
Nunes [32]South Africa102615%
Le-Viet [3]Vietnam3784 (1.05%)
Studies that tested for coronavirus in patients with fever in various countries

Materials and methods

Assistance Publique-Hôpitaux de Marseille (AP-HM) covers all public hospitals in Marseille, including four university hospitals: La Timone Hospital, Conception Hospital, North Hospital and South Hospital; this corresponds to 3400 beds and 125 000 admissions each year [23]. The IHU Méditerranée Infection diagnostic laboratory tests all samples from AP-HM in which respiratory viruses are suspected. Molecular biology is used for diagnosis. The results are monitored by a weekly automated surveillance system in the diagnostic laboratory, coupled with a laboratory information system (Nexlabs) [23]. SARS-CoV-2 epidemiological data were obtained through an online platform gathering data from public agencies [24]. Statistical analyses were performed using BiostatGV software.

Results

In 2016, there were 594 000 deaths in France; 59.2% of these deaths occurred in a care establishment [25]. In the same year, AP-HM reported 2854 deaths. As such, it can be estimated that approximately 0.8% of deaths in care establishments in France occurred in AP-HM hospitals. This estimate provides an approximation of the number of people affected by a pathogen in France according to the number of people who died each year at AP-HM hospitals. From 1 January 2013 to 31 December 2019, 21 662 samples were tested by the IHU Méditerranée Infection diagnostic laboratory. Among these, 770 samples were positive for coronavirus, with eight deaths (mortality rate 1%). Among identified coronaviruses, 63 were identified as HKU1 (one death, mortality rate 1.6%), 74 were identified as NL63 (two deaths, mortality rate 2.7%), 92 were identified as E229 (one death, mortality rate 1.1%) and 160 were identified as OC43 (four deaths, mortality rate 2.5%). Three hundred and eighty-one coronaviruses, diagnosed before 2017, were not assigned to any of these four strains (Table 2 ).
Table 2

Results from Assistance Publique-Hôpitaux de Marseille (AP-HM) diagnostic laboratory

AgentLocationConfirmed cases (n)Deaths (n)Mortality rate (%)
CoronavirusaAP-HM, Marseille, France
Coronavirus OC4316040.0250
Coronavirus NL637420.0270
Coronavirus HKU16310.0159
Coronavirus E2299210.0109
CoronavirusbAP-HM, Marseille, France
Coronavirus OC437710.0130
Coronavirus NL6314600
Coronavirus HKU127710.0036
Coronavirus E2294300

From 1 January 2013 to 31 December 2019.

From 1 January 2020 to 2 March 2020.

Results from Assistance Publique-Hôpitaux de Marseille (AP-HM) diagnostic laboratory From 1 January 2013 to 31 December 2019. From 1 January 2020 to 2 March 2020. Systematic testing (molecular biology) for SARS-CoV-2 was performed from 1 January 2020 to 2 March 2020. In total, 7059 samples from patients presenting with infectious symptoms were tested by the IHU Méditerranée Infection diagnostic laboratory. Among them, 543 samples were positive for coronaviruses, with two deaths (mortality rate 0.36%): 277 samples were HKU1, 146 samples were NL63, 77 samples were OC43 and 43 samples were 229E. No cases of SARS-CoV-2 were identified among these samples. Of the two deaths, one patient had OC43 (mortality rate 1.3%) and one patient had HKU1 (mortality rate 0.36%). There were no deaths from NL63 or E229 during this period. Over the same period, IHU Méditerranée Infection was the regional centre for detection of the novel coronavirus SARS-CoV-2. At the time of writing, 596 analyses have been performed on suspected cases since the emergence of the novel pathogen, from which four cases of SARS-CoV-2 have been identified. In addition, 337 French nationals returning from Hubei Province have been tested twice, and all were negative for SARS-CoV-2. By 2 March 2020, a total of 90 307 patients have tested positive for SARS-CoV-2 worldwide, with 3086 deaths (mortality rate 3.4%). Among the Organisation for Economic Co-operation and Development (OECD) countries, 7476 patients have tested positive for SARS-CoV-2, with 96 deaths (mortality rate 1.3%) (Table 3 ). In France, 191 people have tested positive for SARS-CoV-2, with three deaths (mortality rate 1.6%).
Table 3

SARS-CoV-2 international epidemiological situation (Organisation for Economic Co-operation and Development countries), 3 March 2020

CountriesConfirmed cases (n)Deaths (n)Mortality rate (%)
Germany15700.0
Australia3013.3
Austria1800.0
Belgium800.0
Canada2400.0
South Korea4335280.6
Denmark400.0
Spain12300.0
Estonia100.0
USA10066.0
Finland700.0
France19131.6
Greece700.0
Ireland100.0
Iceland300.0
Israel1000.0
Italy2036522.6
Japan27462.2
Latvia100.0
Lithuania100.0
Luxembourg100.0
Mexico500.0
Norway2500.0
New Zealand100.0
Netherlands1800.0
Portugal200.0
Sweden1500.0
Switzerland3800.0
UK4000.0
Total7476961.3
SARS-CoV-2 international epidemiological situation (Organisation for Economic Co-operation and Development countries), 3 March 2020 This study compared the mortality rate of SARS-CoV-2 in OECD countries (1.3%) with the mortality rate of common coronaviruses identified in AP-HM patients (0.8%) from 1 January 2013 to 2 March 2020. Chi-squared test was performed, and the P-value was 0.11 (not significant).

Discussion

This study found that the mortality rate of common coronavirus infections is 0.8% in France. In comparison, the mortality rate of SARS-CoV-2 in European or American developed countries of a comparable economic level is 1.3% (Table 3). If the extrapolation of deaths in AP-HM hospitals is correct, in metropolitan France, this would represent 543/0.8 * 100 = 67 875 cases of patients hospitalized with a respiratory infection with common coronaviruses in 2 months, which is almost as many cases as for SARS-CoV-2 worldwide. In fact, mortality from respiratory infections is extremely dependent on the quality of care and access to care, and severe forms have a better prognosis in countries with superior medical infrastructures. Under these conditions, there does not seem to be a significant difference between the mortality rate of SARS-CoV-2 in OECD countries and that of common coronaviruses (χ2 test, P=0.11). Of course, the major flaw in this study is that the percentage of deaths attributable to the virus is not determined, but this is the case for all studies reporting respiratory virus infections, including SARS-CoV-2. Indeed, viral infections are ecosystem infections where the outcome depends on the inoculums and the surrounding microbiota [26]. Thus, certain bacteria seem to be associated with symptomatic manifestations, such as Streptococcus pneumoniae, Haemophilus influenzae and Staphylococcus aureus, which are known to cause an excess of mortality due to secondary infection. Finally, seasonality, geographic location, heat and humidity are co-factors, as are age, gender and underlying pathologies. Under these conditions, and all other things being equal, SARS-CoV-2 infection cannot be described as being statistically more severe than infection with other coronaviruses in common circulation. Finally, in OECD countries, SARS-CoV-2 does not seem to be deadlier than other circulating viruses. In addition to coronaviruses, there are 16 endemic viruses in common circulation in developed countries (adenovirus, bocavirus, cytomegalovirus, enterovirus, influenza A H1N1 virus, influenza A H3N2 virus, influenza B virus, metapneumovirus, parainfluenzae virus 1, parainfluenzae virus 2, parainfluenzae virus 3, parainfluenzae virus 4, parechovirus, picornavirus, rhinovirus, syncytial respiratory virus), and 2.6 million deaths from respiratory infections (excluding tuberculosis) per year have been noted in recent years worldwide [27]. There is little chance that the emergence of SARS-CoV-2 could change this statistic significantly. Fear could have a larger impact than the virus itself; a case of suicide motivated by the fear of SARS-COV-2 has been reported in India [28]. In addition, coronaviruses that have rarely been tested systematically around the world may persist in the pharynx of asymptomatic people, representing a potential source of population immunity [29]. Furthermore, it should be noted that systematic studies of other coronaviruses (but not yet for SARS-CoV-2) have found that the percentage of asymptomatic carriers is equal to or even higher than the percentage of symptomatic patients. The same data for SARS-CoV-2 may soon be available, which will further reduce the relative risk associated with this specific pathology.
  29 in total

1.  Coronavirus HKU1 and other coronavirus infections in Hong Kong.

Authors:  Susanna K P Lau; Patrick C Y Woo; Cyril C Y Yip; Herman Tse; Hoi-wah Tsoi; Vincent C C Cheng; Paul Lee; Bone S F Tang; Chris H Y Cheung; Rodney A Lee; Lok-yee So; Yu-lung Lau; Kwok-hung Chan; Kwok-yung Yuen
Journal:  J Clin Microbiol       Date:  2006-06       Impact factor: 5.948

2.  COVID-19 outbreak on the Diamond Princess cruise ship: estimating the epidemic potential and effectiveness of public health countermeasures.

Authors:  J Rocklöv; H Sjödin; A Wilder-Smith
Journal:  J Travel Med       Date:  2020-05-18       Impact factor: 8.490

3.  Human coronavirus and severe acute respiratory infection in Southern Brazil.

Authors:  Hygor Trombetta; Heloisa Z Faggion; Jaqueline Leotte; Meri B Nogueira; Luine R R Vidal; Sonia M Raboni
Journal:  Pathog Glob Health       Date:  2016-05-19       Impact factor: 2.894

4.  Isolation of a novel coronavirus from a man with pneumonia in Saudi Arabia.

Authors:  Ali M Zaki; Sander van Boheemen; Theo M Bestebroer; Albert D M E Osterhaus; Ron A M Fouchier
Journal:  N Engl J Med       Date:  2012-10-17       Impact factor: 91.245

5.  From SARS coronavirus to novel animal and human coronaviruses.

Authors:  Kelvin K W To; Ivan F N Hung; Jasper F W Chan; Kwok-Yung Yuen
Journal:  J Thorac Dis       Date:  2013-08       Impact factor: 2.895

6.  Human Coronavirus-HKU1 Infection Among Adults in Cleveland, Ohio.

Authors:  Anubhav Kanwar; Suresh Selvaraju; Frank Esper
Journal:  Open Forum Infect Dis       Date:  2017-03-25       Impact factor: 3.835

7.  Intensive care admission for Coronavirus OC43 respiratory tract infections.

Authors:  D Vandroux; N Allou; J Jabot; G Li Pat Yuen; E Brottet; B Roquebert; O Martinet
Journal:  Med Mal Infect       Date:  2018-03       Impact factor: 2.152

Review 8.  Middle East respiratory syndrome coronavirus: risk factors and determinants of primary, household, and nosocomial transmission.

Authors:  David S Hui; Esam I Azhar; Yae-Jean Kim; Ziad A Memish; Myoung-Don Oh; Alimuddin Zumla
Journal:  Lancet Infect Dis       Date:  2018-04-18       Impact factor: 25.071

9.  Molecular characterization of human coronaviruses and their circulation dynamics in Kenya, 2009-2012.

Authors:  Lenata A Sipulwa; Juliette R Ongus; Rodney L Coldren; Wallace D Bulimo
Journal:  Virol J       Date:  2016-02-01       Impact factor: 4.099

10.  Human Coronavirus NL63 Molecular Epidemiology and Evolutionary Patterns in Rural Coastal Kenya.

Authors:  Patience K Kiyuka; Charles N Agoti; Patrick K Munywoki; Regina Njeru; Anne Bett; James R Otieno; Grieven P Otieno; Everlyn Kamau; Taane G Clark; Lia van der Hoek; Paul Kellam; D James Nokes; Matthew Cotten
Journal:  J Infect Dis       Date:  2018-05-05       Impact factor: 5.226

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2.  Adaptation to SARS-CoV-2 under stress: Role of distorted information.

Authors:  Konstantin S Sharov
Journal:  Eur J Clin Invest       Date:  2020-06-13       Impact factor: 4.686

3.  Influenza vaccination in the COVID-19 era.

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Journal:  Early Hum Dev       Date:  2020-06-18       Impact factor: 2.079

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Review 5.  Update for Anaesthetists on Clinical Features of COVID-19 Patients and Relevant Management.

Authors:  Benedikt Preckel; Marcus J Schultz; Alexander P Vlaar; Abraham H Hulst; Jeroen Hermanides; Menno D de Jong; Wolfgang S Schlack; Markus F Stevens; Robert P Weenink; Markus W Hollmann
Journal:  J Clin Med       Date:  2020-05-15       Impact factor: 4.241

Review 6.  An integrative look at SARS‑CoV‑2 (Review).

Authors:  Miguel A Ortega; Oscar Fraile-Martínez; Melchor Álvarez-Mon; Ángel Asúnsolo; Basilio De la Torre; Cielo García-Montero; Sandra García-Gallego; Lara Sánchez-Trujillo; Diego Torres-Carranza; Miguel Ángel Álvarez-Mon; Leonel Pekarek; Natalio García-Honduvilla; Julia Bujan
Journal:  Int J Mol Med       Date:  2020-12-22       Impact factor: 4.101

7.  Stroke Patients' Characteristics and Clinical Outcomes: A Pre-Post COVID-19 Comparison Study.

Authors:  Hong Chuan Loh; Kar Keong Neoh; Angelina Siing Ngi Tang; Chen Joo Chin; Purnima Devi Suppiah; Irene Looi; Khang Wen Goh; Ching Siang Tan; Long Chiau Ming
Journal:  Medicina (Kaunas)       Date:  2021-05-19       Impact factor: 2.430

8.  Molecular docking, DFT analysis, and dynamics simulation of natural bioactive compounds targeting ACE2 and TMPRSS2 dual binding sites of spike protein of SARS CoV-2.

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Review 9.  The COVID-19 pandemic, personal protective equipment and respirator: A narrative review.

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Review 10.  Feline infectious peritonitis (FIP) and coronavirus disease 19 (COVID-19): Are they similar?

Authors:  Saverio Paltrinieri; Alessia Giordano; Angelica Stranieri; Stefania Lauzi
Journal:  Transbound Emerg Dis       Date:  2020-10-20       Impact factor: 4.521

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