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Owens K, Esmaeili S, Schiffer JT. Heterogeneous SARS-CoV-2 kinetics due to variable timing and intensity of immune responses. JCI Insight 2024; 9:e176286. [PMID: 38573774 PMCID: PMC11141931 DOI: 10.1172/jci.insight.176286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 03/27/2024] [Indexed: 04/06/2024] Open
Abstract
The viral kinetics of documented SARS-CoV-2 infections exhibit a high degree of interindividual variability. We identified 6 distinct viral shedding patterns, which differed according to peak viral load, duration, expansion rate, and clearance rate, by clustering data from 768 infections in the National Basketball Association cohort. Omicron variant infections in previously vaccinated individuals generally led to lower cumulative shedding levels of SARS-CoV-2 than other scenarios. We then developed a mechanistic mathematical model that recapitulated 1,510 observed viral trajectories, including viral rebound and cases of reinfection. Lower peak viral loads were explained by a more rapid and sustained transition of susceptible cells to a refractory state during infection as well as by an earlier and more potent late, cytolytic immune response. Our results suggest that viral elimination occurs more rapidly during Omicron infection, following vaccination, and following reinfection due to enhanced innate and acquired immune responses. Because viral load has been linked with COVID-19 severity and transmission risk, our model provides a framework for understanding the wide range of observed SARS-CoV-2 infection outcomes.
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Affiliation(s)
- Katherine Owens
- Fred Hutchinson Cancer Center, Vaccine and Infectious Diseases Division, Seattle, Washington, USA
| | - Shadisadat Esmaeili
- Fred Hutchinson Cancer Center, Vaccine and Infectious Diseases Division, Seattle, Washington, USA
| | - Joshua T. Schiffer
- Fred Hutchinson Cancer Center, Vaccine and Infectious Diseases Division, Seattle, Washington, USA
- University of Washington, Department of Medicine, Seattle, Washington, USA
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2
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Sila T, Surasombatpattana S, Rajborirug S, Laochareonsuk W, Choochuen P, Kongkamol C, Ingviya T, Prompat N, Mahasirimongkol S, Sangkhathat S, Aiewsakun P. SARS-CoV-2 variant with the spike protein mutation F306L in the southern border provinces of Thailand. Sci Rep 2024; 14:7729. [PMID: 38565881 PMCID: PMC10987673 DOI: 10.1038/s41598-024-56646-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 03/08/2024] [Indexed: 04/04/2024] Open
Abstract
The southernmost part of Thailand is a unique and culturally diverse region that has been greatly affected by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) outbreak during the coronavirus disease-2019 pandemic. To gain insights into this situation, we analyzed 1942 whole-genome sequences of SARS-CoV-2 obtained from the five southernmost provinces of Thailand between April 2021 and March 2022, together with those publicly available in the Global Initiative on Sharing All Influenza Data database. Our analysis revealed evidence for transboundary transmissions of the virus in and out of the five southernmost provinces during the study period, from both domestic and international sources. The most prevalent viral variant in our sequence dataset was the Delta B.1.617.2.85 variant, also known as the Delta AY.85 variant, with many samples carrying a non-synonymous mutation F306L in their spike protein. Protein-protein docking and binding interface analyses suggested that the mutation may enhance the binding between the spike protein and host cell receptor protein angiotensin-converting enzyme 2, and we found that the mutation was significantly associated with an increased fatality rate. This mutation has also been observed in other SARS-CoV-2 variants, suggesting that it is of particular interest and should be monitored.
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Affiliation(s)
- Thanit Sila
- Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Smonrapat Surasombatpattana
- Department of Pathology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Songyos Rajborirug
- Department of Epidemiology, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Wison Laochareonsuk
- Division of Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
- Translational Medicine Research Center, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Pongsakorn Choochuen
- Translational Medicine Research Center, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
- Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Chanon Kongkamol
- Department of Family Medicine and Preventive Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Thammasin Ingviya
- Department of Family Medicine and Preventive Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand
| | - Napat Prompat
- Faculty of Medical Technology, Medical of Technology Service Center, Prince of Songkla University, Songkhla, 90110, Thailand
| | - Surakameth Mahasirimongkol
- Department of Medical Sciences, Genetics Center, Medical Life Sciences Institute, Ministry of Public Health, Nonthaburi, 11000, Thailand
| | - Surasak Sangkhathat
- Division of Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
- Translational Medicine Research Center, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
| | - Pakorn Aiewsakun
- Pornchai Matangkasombut Center for Microbial Genomics, Department of Microbiology, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
- Department of Microbiology, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand.
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3
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Hwang HS, Lo CM, Murphy M, Grudda T, Gallagher N, Luo CH, Robinson ML, Mirza A, Conte M, Conte A, Zhou R, Vergara C, Brooke CB, Pekosz A, Mostafa HH, Manabe YC, Thio CL, Balagopal A. Characterizing SARS-CoV-2 Transcription of Subgenomic and Genomic RNAs During Early Human Infection Using Multiplexed Droplet Digital Polymerase Chain Reaction. J Infect Dis 2023; 227:981-992. [PMID: 36468309 PMCID: PMC10319975 DOI: 10.1093/infdis/jiac472] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 11/20/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission requires understanding SARS-CoV-2 replication dynamics. METHODS We developed a multiplexed droplet digital polymerase chain reaction (ddPCR) assay to quantify SARS-CoV-2 subgenomic RNAs (sgRNAs), which are only produced during active viral replication, and discriminate them from genomic RNAs (gRNAs). We applied the assay to specimens from 144 people with single nasopharyngeal samples and 27 people with >1 sample. Results were compared to quantitative PCR (qPCR) and viral culture. RESULTS sgRNAs were quantifiable across a range of qPCR cycle threshold (Ct) values and correlated with Ct values. The ratio sgRNA:gRNA was stable across a wide range of Ct values, whereas adjusted amounts of N sgRNA to a human housekeeping gene declined with higher Ct values. Adjusted sgRNA and gRNA amounts were quantifiable in culture-negative samples, although levels were significantly lower than in culture-positive samples. Daily testing of 6 persons revealed that sgRNA is concordant with culture results during the first week of infection but may be discordant with culture later in infection. sgRNA:gRNA is constant during infection despite changes in viral culture. CONCLUSIONS Ct values from qPCR correlate with active viral replication. More work is needed to understand why some cultures are negative despite presence of sgRNA.
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Affiliation(s)
- Hyon S Hwang
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Che-Min Lo
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael Murphy
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Tanner Grudda
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Nicholas Gallagher
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Chun Huai Luo
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Matthew L Robinson
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Agha Mirza
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Madison Conte
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Abigail Conte
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Ruifeng Zhou
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Candelaria Vergara
- Department of Microbiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Christopher B Brooke
- Department of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Heba H Mostafa
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yukari C Manabe
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Chloe L Thio
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Ashwin Balagopal
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Hay JA, Kissler SM, Fauver JR, Mack C, Tai CG, Samant RM, Connolly S, Anderson DJ, Khullar G, MacKay M, Patel M, Kelly S, Manhertz A, Eiter I, Salgado D, Baker T, Howard B, Dudley JT, Mason CE, Nair M, Huang Y, DiFiori J, Ho DD, Grubaugh ND, Grad YH. Quantifying the impact of immune history and variant on SARS-CoV-2 viral kinetics and infection rebound: A retrospective cohort study. eLife 2022; 11:81849. [PMID: 36383192 PMCID: PMC9711520 DOI: 10.7554/elife.81849] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 11/15/2022] [Indexed: 11/17/2022] Open
Abstract
Background The combined impact of immunity and SARS-CoV-2 variants on viral kinetics during infections has been unclear. Methods We characterized 1,280 infections from the National Basketball Association occupational health cohort identified between June 2020 and January 2022 using serial RT-qPCR testing. Logistic regression and semi-mechanistic viral RNA kinetics models were used to quantify the effect of age, variant, symptom status, infection history, vaccination status and antibody titer to the founder SARS-CoV-2 strain on the duration of potential infectiousness and overall viral kinetics. The frequency of viral rebounds was quantified under multiple cycle threshold (Ct) value-based definitions. Results Among individuals detected partway through their infection, 51.0% (95% credible interval [CrI]: 48.3-53.6%) remained potentially infectious (Ct <30) 5 days post detection, with small differences across variants and vaccination status. Only seven viral rebounds (0.7%; N=999) were observed, with rebound defined as 3+days with Ct <30 following an initial clearance of 3+days with Ct ≥30. High antibody titers against the founder SARS-CoV-2 strain predicted lower peak viral loads and shorter durations of infection. Among Omicron BA.1 infections, boosted individuals had lower pre-booster antibody titers and longer clearance times than non-boosted individuals. Conclusions SARS-CoV-2 viral kinetics are partly determined by immunity and variant but dominated by individual-level variation. Since booster vaccination protects against infection, longer clearance times for BA.1-infected, boosted individuals may reflect a less effective immune response, more common in older individuals, that increases infection risk and reduces viral RNA clearance rate. The shifting landscape of viral kinetics underscores the need for continued monitoring to optimize isolation policies and to contextualize the health impacts of therapeutics and vaccines. Funding Supported in part by CDC contract #200-2016-91779, a sponsored research agreement to Yale University from the National Basketball Association contract #21-003529, and the National Basketball Players Association.
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Affiliation(s)
- James A Hay
- Harvard TH Chan School of Public HealthBostonUnited States
| | | | - Joseph R Fauver
- Yale School of Public HealthNew HavenUnited States
- University of Nebraska Medical CenterOmahaUnited States
| | | | | | | | | | - Deverick J Anderson
- Duke Center for Antimicrobial Stewardship and Infection PreventionDurhamUnited States
| | | | | | | | | | | | | | | | | | | | | | | | - Manoj Nair
- Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
| | - Yaoxing Huang
- Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
| | - John DiFiori
- Hospital for Special SurgeryNew YorkUnited States
- National Basketball AssociationNew YorkUnited States
| | - David D Ho
- Vagelos College of Physicians and Surgeons, Columbia UniversityNew YorkUnited States
| | | | - Yonatan H Grad
- Harvard TH Chan School of Public HealthBostonUnited States
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Analysis of Genetic Variants Associated with COVID-19 Outcome Highlights Different Distributions among Populations. J Pers Med 2022; 12:jpm12111851. [PMID: 36579599 PMCID: PMC9692526 DOI: 10.3390/jpm12111851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/26/2022] [Accepted: 11/02/2022] [Indexed: 11/09/2022] Open
Abstract
The clinical spectrum of SARS-CoV-2 infection ranges from asymptomatic status to mild infections, to severe disease and death. In this context, the identification of specific susceptibility factors is crucial to detect people at the higher risk of severe disease and improve the outcome of COVID-19 treatment. Several studies identified genetic variants conferring higher risk of SARS-CoV-2 infection and COVID-19 severity. The present study explored their genetic distribution among different populations (AFR, EAS, EUR and SAS). As a result, the obtained data support the existence of a genetic basis for the observed variability among populations, in terms of SARS-CoV-2 infection and disease outcomes. The comparison of ORs distribution for genetic risk of infection as well as for disease outcome shows that each population presents its own characteristics. These data suggest that each country could benefit from a population-wide risk assessment, aimed to personalize the national vaccine programs and the preventative measures as well as the allocation of resources and the access to proper therapeutic interventions. Moreover, the host genetics should be further investigated in order to realize personalized medicine protocols tailored to improve the management of patients suffering from COVID-19.
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Caputo V, Calvino G, Strafella C, Termine A, Fabrizio C, Trastulli G, Ingrascì A, Peconi C, Bardini S, Rossini A, Salvia A, Borsellino G, Battistini L, Caltagirone C, Cascella R, Giardina E. Tracking the Initial Diffusion of SARS-CoV-2 Omicron Variant in Italy by RT-PCR and Comparison with Alpha and Delta Variants Spreading. Diagnostics (Basel) 2022; 12:diagnostics12020467. [PMID: 35204558 PMCID: PMC8870788 DOI: 10.3390/diagnostics12020467] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 12/04/2022] Open
Abstract
The emergence of the Omicron SARS-CoV-2 variant caused public health concerns worldwide, raising the need for the improvement of rapid monitoring strategies. The present manuscript aimed at providing evidence of the utility of a diagnostic kit for the routine testing of SARS-CoV-2 infection as a cost-effective method for tracking the Omicron variant in Italy. The study was conducted on patients’ naso-oropharyngeal-swab-derived RNA samples. These samples were subjected to RT-PCR using the TaqPath COVID-19 RT PCR CE IVD kit. Nonparametric testing and polynomial models fitting were used to compare the spreading of Alpha, Delta and Omicron variants. The samples of interest were correctly amplified and displayed the presence of S gene-target failure, suggesting that these patients carry the Omicron variant. The trend of diffusion was found to be significantly different and more rapid compared with that of the Alpha and Delta variants in our cohorts. Overall, these results highlight that the S gene target failure was a very useful tool for the immediate and inexpensive tracking of Omicron variant in the three weeks from the first detection. Thus, our approach could be used as a first-line screening to reduce the time and costs of monitoring strategies, facilitating the management of preventive and counteracting measures against COVID-19.
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Affiliation(s)
- Valerio Caputo
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (V.C.); (G.C.); (C.S.); (G.T.); (A.I.); (C.P.); (S.B.); (R.C.)
- Department of Biomedicine and Prevention, Tor Vergata University, 00133 Rome, Italy
| | - Giulia Calvino
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (V.C.); (G.C.); (C.S.); (G.T.); (A.I.); (C.P.); (S.B.); (R.C.)
| | - Claudia Strafella
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (V.C.); (G.C.); (C.S.); (G.T.); (A.I.); (C.P.); (S.B.); (R.C.)
- Department of Biomedicine and Prevention, Tor Vergata University, 00133 Rome, Italy
| | - Andrea Termine
- Data Science Unit, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (A.T.); (C.F.)
| | - Carlo Fabrizio
- Data Science Unit, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (A.T.); (C.F.)
| | - Giulia Trastulli
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (V.C.); (G.C.); (C.S.); (G.T.); (A.I.); (C.P.); (S.B.); (R.C.)
| | - Arcangela Ingrascì
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (V.C.); (G.C.); (C.S.); (G.T.); (A.I.); (C.P.); (S.B.); (R.C.)
| | - Cristina Peconi
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (V.C.); (G.C.); (C.S.); (G.T.); (A.I.); (C.P.); (S.B.); (R.C.)
| | - Silvia Bardini
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (V.C.); (G.C.); (C.S.); (G.T.); (A.I.); (C.P.); (S.B.); (R.C.)
| | - Angelo Rossini
- Medical Services, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (A.R.); (A.S.)
| | - Antonino Salvia
- Medical Services, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (A.R.); (A.S.)
| | - Giovanna Borsellino
- Neuroimmunology Unit, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (G.B.); (L.B.)
| | - Luca Battistini
- Neuroimmunology Unit, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (G.B.); (L.B.)
| | - Carlo Caltagirone
- Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, 00179 Rome, Italy;
| | - Raffaella Cascella
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (V.C.); (G.C.); (C.S.); (G.T.); (A.I.); (C.P.); (S.B.); (R.C.)
- Department of Biomedicine and Prevention, Tor Vergata University, 00133 Rome, Italy
| | - Emiliano Giardina
- Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy; (V.C.); (G.C.); (C.S.); (G.T.); (A.I.); (C.P.); (S.B.); (R.C.)
- Department of Biomedicine and Prevention, Tor Vergata University, 00133 Rome, Italy
- Correspondence:
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Kim DY, Shinde SK, Lone S, Palem RR, Ghodake GS. COVID-19 Pandemic: Public Health Risk Assessment and Risk Mitigation Strategies. J Pers Med 2021; 11:1243. [PMID: 34945715 PMCID: PMC8707584 DOI: 10.3390/jpm11121243] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 11/17/2021] [Accepted: 11/22/2021] [Indexed: 12/17/2022] Open
Abstract
A newly emerged respiratory viral disease called severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is also known as pandemic coronavirus disease (COVID-19). This pandemic has resulted an unprecedented global health crisis and devastating impact on several sectors of human lives and economies. Fortunately, the average case fatality ratio for SARS-CoV-2 is below 2%, much lower than that estimated for MERS (34%) and SARS (11%). However, COVID-19 has a much higher transmissibility rate, as evident from the constant increase in the count of infections worldwide. This article explores the reasons behind how COVID-19 was able to cause a global pandemic crisis. The current outbreak scenario and causes of rapid global spread are examined using recent developments in the literature, epidemiological features relevant to public health awareness, and critical perspective of risk assessment and mitigation strategies. Effective pandemic risk mitigation measures have been established and amended against COVID-19 diseases, but there is still much scope for upgrading execution and coordination among authorities in terms of organizational leadership's commitment and diverse range of safety measures, including administrative control measures, engineering control measures, and personal protective equipment (PPE). The significance of containment interventions against the COVID-19 pandemic is now well established; however, there is a need for its effective execution across the globe, and for the improvement of the performance of risk mitigation practices and suppression of future pandemic crises.
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Affiliation(s)
- Dae-Young Kim
- Department of Biological and Environmental Science, Dongguk University-Seoul, 32 Dongguk-ro, Ilsandong-gu, Goyang-si 10326, Gyeonggi-do, Korea; (D.-Y.K.); (S.K.S.)
| | - Surendra Krushna Shinde
- Department of Biological and Environmental Science, Dongguk University-Seoul, 32 Dongguk-ro, Ilsandong-gu, Goyang-si 10326, Gyeonggi-do, Korea; (D.-Y.K.); (S.K.S.)
| | - Saifullah Lone
- Interdisciplinary Division for Renewable Energy and Advanced Materials (iDREAM), National Institute of Technology (NIT), Srinagar 190006, India;
| | - Ramasubba Reddy Palem
- Department of Medical Biotechnology, Dongguk University-Seoul, 32 Dongguk-ro, Ilsandong-gu, Goyang-si 10326, Gyeonggi-do, Korea;
| | - Gajanan Sampatrao Ghodake
- Department of Biological and Environmental Science, Dongguk University-Seoul, 32 Dongguk-ro, Ilsandong-gu, Goyang-si 10326, Gyeonggi-do, Korea; (D.-Y.K.); (S.K.S.)
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