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Santigli E, Lindner M, Kessler HH, Jakse N, Fakheran O. Seroprevalence of SARS-CoV-2 antibodies among oral health care workers with natural seroconversion: a systematic review and meta-analysis. Sci Rep 2025; 15:7848. [PMID: 40050642 PMCID: PMC11885579 DOI: 10.1038/s41598-025-91529-4] [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: 06/08/2024] [Accepted: 02/20/2025] [Indexed: 03/09/2025] Open
Abstract
Aerosol and droplet exposure makes oral health care workers (OHCWs) highly susceptible to transmissible infections, for example with SARS-CoV-2. Population-based screening is useful in understanding public health interventions in COVID-19. This systematic review with meta-analysis presents the prevalence of SARS-CoV-2 antibodies among OHCWs. An electronic search has been performed to identify records indexed in Medline, Web of Science, Scopus, and the Cochrane Library until December 2023. All observational studies providing data on SARS-CoV-2 antibodies in OHCWs with natural seroconversion were included. The quality of 722 records was evaluated using the Joana Brigg's Institute (JBI) critical appraisal tool. Finally, ten studies were considered as eligible encompassing point-seroprevalence data on 6,083 dental professionals (dentists, assistants, and administrative staff) from seven European countries and Brazil. The antibody seroprevalence was pooled by a meta-analysis performed with MedCalc® statistical software. Applying random effects model, the overall seroprevalence of immunoglobulin G antibodies among OHCWs was estimated at 13.49% (95% CI 9.15-18.52%). The data indicate a somewhat increased occupation-specific risk for COVID-19 but more studies are required, especially later in the pandemic and following vaccination.
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Affiliation(s)
- Elisabeth Santigli
- Division of Oral Surgery and Orthodontics, Department of Dental Medicine and Oral Health, Medical University of Graz, Billrothgasse 4, Graz, A- 8010, Austria.
| | - Marlene Lindner
- Division of Restorative Dentistry, Periodontology and Prosthodontics, Department of Dental Medicine and Oral Health, Medical University of Graz, Graz, Austria
| | - Harald H Kessler
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria
| | - Norbert Jakse
- Division of Oral Surgery and Orthodontics, Department of Dental Medicine and Oral Health, Medical University of Graz, Billrothgasse 4, Graz, A- 8010, Austria
| | - Omid Fakheran
- Division of Oral Surgery and Orthodontics, Department of Dental Medicine and Oral Health, Medical University of Graz, Billrothgasse 4, Graz, A- 8010, Austria
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Gurkšnienė V, Alčauskas T, Majauskaitė F, Jančorienė L. The Dynamics of Antibody Titres Against SARS-CoV-2 in Vaccinated Healthcare Workers: A Systemic Literature Review. Vaccines (Basel) 2024; 12:1419. [PMID: 39772080 PMCID: PMC11680401 DOI: 10.3390/vaccines12121419] [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: 11/11/2024] [Revised: 11/29/2024] [Accepted: 12/09/2024] [Indexed: 01/11/2025] Open
Abstract
Background and Objectives: Given that COVID-19 vaccination is a relatively recent development, particularly when compared to immunisation against other diseases, it is crucial to assess its efficacy in vaccinated populations. This literature review analysed studies that monitored antibody titres against SARS-CoV-2 in healthcare workers who received COVID-19 vaccines. Methods: Using the PICO (Population, Intervention, Comparators, Outcomes) model recommended in the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines we included 43 publications which analyse antibody dynamics following primary vaccination, the effects of booster doses, and the influence of factors such as COVID-19C infection, age, and sex on antibody kinetics. Results: All the studies demonstrated a strong immunogenic response to the vaccines. Re-gardless of the vaccine used, over 95% of the pre-vaccination seronegative population be-came seropositive in all studies. Depending on the sampling intervals provided by the re-searchers, antibody levels were quantitatively highest during the first three months after vaccination, but levels inevitably declined over time. The monthly decline in antibodies observed in all these studies highlighted the necessity for booster doses. Studies analysing the impact of revaccination on antibody dynamics have confirmed that revaccination is an effective tool to boost humoral immunity against SARS-CoV-2. An-tibodies appear to persist for a longer period of time after revaccination, although they are subject to similar factors influencing antibody dynamics, such as age, comorbidities, and exposure to COVID-19. In addition, heterogeneous revaccination strategies have been shown to be more effective than homogeneous revaccination. Conclusions: Our review demonstrated that antibody levels against SARS-CoV-2 inevitably decline after vaccination, leaving the question of ongoing booster strategies open. The studies reviewed provided evidence of the effectiveness of booster vaccination, despite differences in age, sex, and prior COVID-19 infection. This suggests that repeated vaccination remains a highly effective method for mitigating the continued threat posed by COVID-19.
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Affiliation(s)
| | - Tadas Alčauskas
- Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania; (V.G.); (F.M.); (L.J.)
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Hu WH, Cai HL, Yan HC, Wang H, Sun HM, Wei YY, Hao YT. Protective effectiveness of previous infection against subsequent SARS-Cov-2 infection: systematic review and meta-analysis. Front Public Health 2024; 12:1353415. [PMID: 38966699 PMCID: PMC11222391 DOI: 10.3389/fpubh.2024.1353415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 06/04/2024] [Indexed: 07/06/2024] Open
Abstract
Background The protective effectiveness provided by naturally acquired immunity against SARS-CoV-2 reinfection remain controversial. Objective To systematically evaluate the protective effect of natural immunity against subsequent SARS-CoV-2 infection with different variants. Methods We searched for related studies published in seven databases before March 5, 2023. Eligible studies included in the analysis reported the risk of subsequent infection for groups with or without a prior SARS-CoV-2 infection. The primary outcome was the overall pooled incidence rate ratio (IRR) of SARS-CoV-2 reinfection/infection between the two groups. We also focused on the protective effectiveness of natural immunity against reinfection/infection with different SARS-CoV-2 variants. We used a random-effects model to pool the data, and obtained the bias-adjusted results using the trim-and-fill method. Meta-regression and subgroup analyses were conducted to explore the sources of heterogeneity. Sensitivity analysis was performed by excluding included studies one by one to evaluate the stability of the results. Results We identified 40 eligible articles including more than 20 million individuals without the history of SARS-CoV-2 vaccination. The bias-adjusted efficacy of naturally acquired antibodies against reinfection was estimated at 65% (pooled IRR = 0.35, 95% CI = 0.26-0.47), with higher efficacy against symptomatic COVID-19 cases (pooled IRR = 0.15, 95% CI = 0.08-0.26) than asymptomatic infection (pooled IRR = 0.40, 95% CI = 0.29-0.54). Meta-regression revealed that SARS-CoV-2 variant was a statistically significant effect modifier, which explaining 46.40% of the variation in IRRs. For different SARS-CoV-2 variant, the pooled IRRs for the Alpha (pooled IRR = 0.11, 95% CI = 0.06-0.19), Delta (pooled IRR = 0.19, 95% CI = 0.15-0.24) and Omicron (pooled IRR = 0.61, 95% CI = 0.42-0.87) variant were higher and higher. In other subgroup analyses, the pooled IRRs of SARS-CoV-2 infection were statistically various in different countries, publication year and the inclusion end time of population, with a significant difference (p = 0.02, p < 0.010 and p < 0.010), respectively. The risk of subsequent infection in the seropositive population appeared to increase slowly over time. Despite the heterogeneity in included studies, sensitivity analyses showed stable results. Conclusion Previous SARS-CoV-2 infection provides protection against pre-omicron reinfection, but less against omicron. Ongoing viral mutation requires attention and prevention strategies, such as vaccine catch-up, in conjunction with multiple factors.
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Affiliation(s)
- Wei-Hua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Huan-Le Cai
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Huan-Chang Yan
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Han Wang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Hui-Min Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yong-Yue Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yuan-Tao Hao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
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Granger C, Twigg JA, Whiston S, Grant SMB, Serban S. COVID-19 case management in primary dental care settings in Yorkshire and the Humber. Br Dent J 2024:10.1038/s41415-024-7298-7. [PMID: 38641765 DOI: 10.1038/s41415-024-7298-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/03/2023] [Accepted: 12/08/2023] [Indexed: 04/21/2024]
Abstract
Introduction Emerging guidance during the COVID-19 pandemic aimed to minimise transmission risk within dental settings. This service evaluation provides an overview of reported cases of COVID-19 among primary dental care staff within Yorkshire and the Humber.Methods Data for COVID-19 cases reported within dental practices between November 2020 and August 2021 were extracted from the Public Health England, Health Protection Zone database and summarised using descriptive statistics.Results In total, 421 cases across 223 dental practices were reported, with 221 close contacts and 77 outbreaks identified. Cases/contacts were highest among dental nurses (51/49%). Household and community (42/22%) were the most frequently reported sources of transmission, with the majority of staff-to-staff contacts (60%) occurring in communal/non-clinical areas.Discussion There was a low number of reported COVID-19 cases/contacts among dental professionals, with most cases suspected to have acquired the infection from outside of the dental setting. The majority of personal protective equipment breaches occurred within communal/non-clinical areas. When infection prevention and control guidance was followed, there were no incidences of staff or patients becoming contacts or cases.Conclusion With adherence to strict protocols, the risk of COVID-19 transmission in the dental setting was low within the context of this review. The evaluation highlighted the importance of collaborative working during the pandemic.
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Affiliation(s)
| | | | | | | | - Stefan Serban
- School of Medicine, Dentistry and Nursing, University of Glasgow, Glasgow, UK
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Schwarz KM, Nienhaus A, Diel R. Risk of SARS-CoV-2 infection in dental healthcare workers - a systematic review and meta-analysis. GMS HYGIENE AND INFECTION CONTROL 2024; 19:Doc09. [PMID: 38655123 PMCID: PMC11035909 DOI: 10.3205/dgkh000464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Background Mounting evidence supports an association between the use of personal protective equipment (PPE) and the risk of infection from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in dental healthcare workers (DCW). However, the prevalence and incidence of SARS-CoV-2 infections in the setting of dental care remains poorly characterized. Methods A systematic review and meta-analysis of studies published prior to Mai 2023 providing epidemiological data for the occurrence of SARS-CoV-2 in DCW was performed. A random-effects model was used to calculate pooled estimates and odds ratios (ORs) with corresponding 95% confidence intervals (CIs). The associated factors were narratively evaluated. Risk of bias was assessed using the Joanna Briggs Institute tool for prevalence studies. Results Twenty-nine eligible studies were identified including a total of 85,274 DCW at risk; 27 studies met the criteria for the meta-analysis. Among the included DCW, the overall prevalence of SARS-CoV-2 was 11.8% (13,155/85,274; 95%CI, 7.5%-17%), whereby the degree of heterogeneity between the studies was considerable (I2=99.7%). The pooled prevalence rate for dentists and dental hygienists alone was 12.7% (1943/20,860; 95%CI, 8.0%-18.0%), showing significantly increased odds of contracting a SARS-CoV-2 infection compared to dental assistant personnel, the prevalence rate for which was less than half, at 5.2% (613/15,066; OR=2.42; 95% CI, 2.2-2.7). In the subgroup of 17 studies from countries with high income there was a significantly lower prevalence rate of 7.3% (95% CI, 5%-10%) in DCW compared to the prevalence rate in low- and middle-income countries, which came to 20.8% (95% CI, 14%-29%; p<0.001). In 19 out of the 29 studies (65.5%), specific information on the use of and adherence to PPE was absent while in the reports with concrete figures the wearing of N95 (or at least surgical masks) by DCW appeared to be associated with lower SARS-CoV-2 prevalence rates. Conclusions DCW were, depending in each case on their proximity to patients, at particular risk of SARS-CoV-2 infection during the COVID-19 pandemic. Until a significant level of vaccination protection against newer SARS-CoV-2 variants can be built up in the population, dental healthcare facilities should further maintain their focus on using PPE according to current guidelines.
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Affiliation(s)
- Kira Marie Schwarz
- Institute for Health Service Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Albert Nienhaus
- Institute for Health Service Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Institution for Statutory Accident Insurance and Prevention in the Health and Welfare Services (BGW), Hamburg, Germany
| | - Roland Diel
- Institute for Epidemiology, University Medical Hospital, Schleswig-Holstein, Kiel, Germany
- LungClinic Grosshansdorf, Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany
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Purshouse K, Thomson JP, Vallet M, Alexander L, Bonisteel I, Brennan M, Cameron DA, Figueroa JD, Furrie E, Haig P, Heck M, McCaughan H, Mitchell P, McVicars H, Primrose L, Silva I, Templeton K, Wilson N, Hall PS. The Scottish COVID Cancer Immunity Prevalence Study: A Longitudinal Study of SARS-CoV-2 Immune Response in Patients Receiving Anti-Cancer Treatment. Oncologist 2023; 28:e145-e155. [PMID: 36719033 PMCID: PMC10020811 DOI: 10.1093/oncolo/oyac257] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 10/27/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Cancer and anti-cancer treatment (ACT) may be risk factors for severe SARS-CoV-2 infection and limited vaccine efficacy. Long-term longitudinal studies are needed to evaluate these risks. The Scottish COVID cancer immunity prevalence (SCCAMP) study characterizes the incidence and outcomes of SARS-CoV-2 infection and vaccination in patients with solid tumors undergoing ACT. This preliminary analysis includes 766 patients recruited since May 2020. METHODS Patients with solid-organ cancers attending secondary care for active ACT consented to the collection of routine electronic health record data and serial blood samples over 12 months. Blood samples were tested for total SARS-CoV-2 antibody. RESULTS A total of 766 participants were recruited between May 28, 2020 and October 31, 2021. Most received cytotoxic chemotherapy (79%). Among the participants, 48 (6.3%) were tested positive for SARS-CoV-2 by PCR. Infection rates were unaffected by ACT, largely aligning with the local population. Mortality proportion was not higher with a recent positive SARS-CoV-2 PCR (10.4% vs 10.6%). Multivariate analysis revealed lower infection rates in vaccinated patients regardless of chemotherapy (HR 0.307 [95% CI, 0.144-0.6548]) or immunotherapy (HR 0.314 [95% CI, 0.041-2.367]) treatment. A total of 96.3% of patients successfully raised SARS-CoV-2 antibodies after >2 vaccines. This was independent of the treatment type. CONCLUSION This is the largest on-going longitudinal real-world dataset of patients undergoing ACT during the early stages of the COVID-19 pandemic. This preliminary analysis demonstrates that patients with solid tumors undergoing ACT have high protection from SARS-CoV-2 infection following COVID-19 vaccination. The SCCAMP study will evaluate long-term COVID-19 antibody trends, focusing on specific ACTs and patient subgroups.
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Affiliation(s)
| | | | | | - Lorna Alexander
- Edinburgh Cancer Centre, NHS Lothian, Crewe Road South, Edinburgh, UK
| | - Isaac Bonisteel
- The University of Edinburgh Medical School, The University of Edinburgh, Chancellor’s Building, Edinburgh BioQuarter, Edinburgh, UK
| | - Maree Brennan
- Edinburgh Cancer Centre, NHS Lothian, Crewe Road South, Edinburgh, UK
| | - David A Cameron
- Edinburgh Cancer Centre, NHS Lothian, Crewe Road South, Edinburgh, UK
- Institute of Genetics and Cancer, The University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Jonine D Figueroa
- Institute of Genetics and Cancer, The University of Edinburgh, Western General Hospital, Edinburgh, UK
- Usher Institute, Centre for Population Health Sciences, Old Medical School, Teviot Place, Edinburgh, UK
| | - Elizabeth Furrie
- Department of Immunology, Ninewells Hospital and Dundee Medical School, Dundee, UK
| | - Pamela Haig
- Edinburgh Cancer Centre, NHS Lothian, Crewe Road South, Edinburgh, UK
- Institute of Genetics and Cancer, The University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Mattea Heck
- The University of Edinburgh Medical School, The University of Edinburgh, Chancellor’s Building, Edinburgh BioQuarter, Edinburgh, UK
| | - Hugh McCaughan
- Clinical Infection Research Group, Regional Infectious Diseases Unit, Western General Hospital, Edinburgh, UK
| | - Paul Mitchell
- Institute of Genetics and Cancer, The University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Heather McVicars
- Edinburgh Cancer Centre, NHS Lothian, Crewe Road South, Edinburgh, UK
| | | | - Ines Silva
- Edinburgh Cancer Centre, NHS Lothian, Crewe Road South, Edinburgh, UK
- Institute of Genetics and Cancer, The University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Kate Templeton
- Clinical Infection Research Group, Regional Infectious Diseases Unit, Western General Hospital, Edinburgh, UK
| | - Natalie Wilson
- Edinburgh Cancer Centre, NHS Lothian, Crewe Road South, Edinburgh, UK
- Institute of Genetics and Cancer, The University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Peter S Hall
- Corresponding author: Peter S. Hall, PhD, Institute of Genetics and Cancer, The University of Edinburgh, Western General Hospital, Edinburgh Cancer Centre, NHS Lothian, Crewe Road South, Edinburgh, EH4 2XU, UK.
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Biswas D, Alfandari L. Designing an optimal sequence of non-pharmaceutical interventions for controlling COVID-19. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 2022; 303:1372-1391. [PMID: 35382429 PMCID: PMC8970617 DOI: 10.1016/j.ejor.2022.03.052] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 03/28/2022] [Indexed: 05/06/2023]
Abstract
The COVID-19 pandemic has had an unprecedented impact on global health and the economy since its inception in December, 2019 in Wuhan, China. Non-pharmaceutical interventions (NPI) like lockdowns and curfews have been deployed by affected countries for controlling the spread of infections. In this paper, we develop a Mixed Integer Non-Linear Programming (MINLP) epidemic model for computing the optimal sequence of NPIs over a planning horizon, considering shortages in doctors and hospital beds, under three different lockdown scenarios. We analyse two strategies - centralised (homogeneous decisions at the national level) and decentralised (decisions differentiated across regions), for two objectives separately - minimization of infections and deaths, using actual pandemic data of France. We linearize the quadratic constraints and objective functions in the MINLP model and convert it to a Mixed Integer Linear Programming (MILP) model. A major result that we show analytically is that under the epidemic model used, the optimal sequence of NPIs always follows a decreasing severity pattern. Using this property, we further simplify the MILP model into an Integer Linear Programming (ILP) model, reducing computational time up to 99%. Our numerical results show that a decentralised strategy is more effective in controlling infections for a given severity budget, yielding up to 20% lesser infections, 15% lesser deaths and 60% lesser shortages in healthcare resources. These results hold without considering logistics aspects and for a given level of compliance of the population.
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Casey SM, Legler A, Hanchate AD, Perkins RB. Likelihood of COVID-19 reinfection in an urban community cohort in Massachusetts. DIALOGUES IN HEALTH 2022; 1:100057. [PMID: 36785636 PMCID: PMC9547391 DOI: 10.1016/j.dialog.2022.100057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 10/03/2022] [Accepted: 10/04/2022] [Indexed: 11/22/2022]
Abstract
Background Understanding the association of prior SARS-CoV-2 infection with subsequent reinfection has public health relevance. Objective To explore COVID-19 severity and SARS-CoV-2 infection and reinfection rates. Design Retrospective cohort study. Setting Boston, Massachusetts, during the first COVID-19 surge (01/01/2020-05/31/2020; Period-1) and after the first surge (06/01/2020-02/28/2021; Period-2); Period-2 included the second surge (11/01/2020-02/28/2021). Participants Patients in an academic medical center and six community health centers who received a clinical diagnosis of COVID-19 between 01/01/2020 and 05/31/2020 or SARS-CoV-2 testing between 01/01/2020 and 02/28/2021. Measurements COVID-19 severity was compared between Period-1 and Period-2. Poisson regression models adjusted for demographic variables, medical comorbidities, and census tract were used to assess reinfection risk among patients with COVID-19 diagnoses or SARS-CoV-2 testing during Period-1 and additional SARS-CoV-2 testing during Period-2. Results Among 142,047 individuals receiving SARS-CoV-2 testing or clinical diagnoses during the study period, 15.8% were infected. Among COVID-19 patients, 22.5% visited the emergency department, 13% were hospitalized, and 4% received critical care. Healthcare utilization was higher during Period-1 than Period-2 (22.9% vs. 18.9% emergency department use, 14.7% vs. 9.9% hospitalization, 5.5% vs. 2.5% critical care; p < 0.001). Reinfection was assessed among 8961 patients with a SARS-CoV-2 test or COVID-19 diagnosis in Period-1 who underwent additional testing in Period-2. A total of 2.7% (n = 65/2431) with SARS-CoV-2 in Period-1 tested positive in Period-2, compared with 12.6% (n = 821/6530) of those who initially tested negative (IRR of reinfection = 0.19, 95% CI: 0.15-0.25). Conclusions Prior SARS-CoV-2 infection among this observational cohort was associated with an 81% lower reinfection rate.
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Affiliation(s)
- Sharon M. Casey
- Department of Obstetrics and Gynecology, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States of America
| | - Aaron Legler
- Department of Obstetrics and Gynecology, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States of America
| | - Amresh D. Hanchate
- Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | - Rebecca B. Perkins
- Department of Obstetrics and Gynecology, Boston University School of Medicine and Boston Medical Center, Boston, MA, United States of America,Corresponding author at: 85 E. Concord St., Boston, MA 02118, United States of America
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Chen Q, Zhu K, Liu X, Zhuang C, Huang X, Huang Y, Yao X, Quan J, Lin H, Huang S, Su Y, Wu T, Zhang J, Xia N. The Protection of Naturally Acquired Antibodies Against Subsequent SARS-CoV-2 Infection: A Systematic Review and Meta-Analysis. Emerg Microbes Infect 2022; 11:793-803. [PMID: 35195494 PMCID: PMC8920404 DOI: 10.1080/22221751.2022.2046446] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 02/21/2022] [Indexed: 01/18/2023]
Abstract
The specific antibodies induced by SARS-CoV-2 infection may provide protection against a subsequent infection. However, the efficacy and duration of protection provided by naturally acquired immunity against subsequent SARS-CoV-2 infection remain controversial. We systematically searched for the literature describing COVID-19 reinfection published before 07 February 2022. The outcomes were the pooled incidence rate ratio (IRR) for estimating the risk of subsequent infection. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included studies. Statistical analyses were conducted using the R programming language 4.0.2. We identified 19 eligible studies including more than 3.5 million individuals without the history of COVID-19 vaccination. The efficacy of naturally acquired antibodies against reinfection was estimated at 84% (pooled IRR = 0.16, 95% CI: 0.14-0.18), with higher efficacy against symptomatic COVID-19 cases (pooled IRR = 0.09, 95% CI = 0.07-0.12) than asymptomatic infection (pooled IRR = 0.28, 95% CI = 0.14-0.54). In the subgroup analyses, the pooled IRRs of COVID-19 infection in health care workers (HCWs) and the general population were 0.22 (95% CI = 0.16-0.31) and 0.14 (95% CI = 0.12-0.17), respectively, with a significant difference (P = 0.02), and those in older (over 60 years) and younger (under 60 years) populations were 0.26 (95% CI = 0.15-0.48) and 0.16 (95% CI = 0.14-0.19), respectively. The risk of subsequent infection in the seropositive population appeared to increase slowly over time. In conclusion, naturally acquired antibodies against SARS-CoV-2 can significantly reduce the risk of subsequent infection, with a protection efficacy of 84%.Registration number: CRD42021286222.
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Affiliation(s)
- Qi Chen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Kongxin Zhu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Xiaohui Liu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Chunlan Zhuang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Xingcheng Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Yue Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Xingmei Yao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Jiali Quan
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Hongyan Lin
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Shoujie Huang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Yingying Su
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Ting Wu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Jun Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
| | - Ningshao Xia
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, National Institute of Diagnostics and Vaccine Development in Infectious Diseases, Strait Collaborative Innovation Center of Biomedicine and Pharmaceutics, School of Public Health, Xiamen University, Xiamen City, Fujian Province, People’s Republic of China
- The Research Unit of Frontier Technology of Structural Vaccinology of Chinese Academy of Medical Sciences, Xiamen City, Fujian Province, People's Republic of China
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10
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Aerosol concentrations and size distributions during clinical dental procedures. Heliyon 2022; 8:e11074. [PMID: 36303931 PMCID: PMC9593181 DOI: 10.1016/j.heliyon.2022.e11074] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 09/17/2022] [Accepted: 10/10/2022] [Indexed: 11/05/2022] Open
Abstract
Background Suspected aerosol-generating dental instruments may cause risks for operators by transmitting pathogens, such as the SARS-CoV-2 virus. The aim of our study was to measure aerosol generation in various dental procedures in clinical settings. Methods The study population comprised of 84 patients who underwent 253 different dental procedures measured with Optical Particle Sizer in a dental office setting. Aerosol particles from 0.3 to 10 μm in diameter were measured. Dental procedures included oral examinations (N = 52), restorative procedures with air turbine handpiece (N = 8), high-speed (N = 6) and low-speed (N = 30) handpieces, ultrasonic scaling (N = 31), periodontal treatment using hand instruments (N = 60), endodontic treatment (N = 12), intraoral radiographs (N = 24), and dental local anesthesia (N = 31). Results Air turbine handpieces significantly elevated <1 μm particle median (p = 0.013) and maximum (p = 0.016) aerosol number concentrations as well as aerosol particle mass concentrations (p = 0.046 and p = 0.006) compared to the background aerosol levels preceding the operation. Low-speed dental handpieces elevated >5 μm median (p = 0.023), maximum (p = 0.013) particle number concentrations,> 5 μm particle mass concentrations (p = 0.021) and maximum total particle mass concentrations (p = 0.022). High-speed dental handpieces elevated aerosol concentration levels compared to the levels produced during oral examination. Conclusions Air turbine handpieces produced the highest levels of <1 μm aerosols and total particle number concentrations when compared to the other commonly used instruments. In addition, high- and low-speed dental handpieces and ultrasonic scalers elevated the aerosol concentration levels compared to the aerosol levels measured during oral examination. These aerosol-generating procedures, involving air turbine, high- and low-speed handpiece, and ultrasonic scaler, should be performed with caution. Clinical significance Aerosol generating dental instruments, especially air turbine, should be used with adequate precautions (rubber dam, high-volume evacuation, FFP-respirators), because aerosols can cause a potential risk for operators and substitution of air turbine for high-speed dental handpiece in poor epidemic situations should be considered to reduce the risk of aerosol transmission.
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Flacco ME, Acuti Martellucci C, Baccolini V, De Vito C, Renzi E, Villari P, Manzoli L. Risk of reinfection and disease after SARS-CoV-2 primary infection: Meta-analysis. Eur J Clin Invest 2022; 52:e13845. [PMID: 35904405 PMCID: PMC9353414 DOI: 10.1111/eci.13845] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 07/09/2022] [Accepted: 07/27/2022] [Indexed: 11/29/2022]
Abstract
INTRODUCTION A precise estimate of the frequency and severity of SARS-CoV-2 reinfections would be critical to optimize restriction and vaccination policies for the hundreds of millions previously infected subjects. We performed a meta-analysis to evaluate the risk of reinfection and COVID-19 following primary infection. METHODS We searched MedLine, Scopus and preprint repositories for cohort studies evaluating the onset of new infections among baseline SARS-CoV-2-positive subjects. Random-effect meta-analyses of proportions were stratified by gender, exposure risk, vaccination status, viral strain, time between episodes, and reinfection definition. RESULTS Ninety-one studies, enrolling 15,034,624 subjects, were included. Overall, 158,478 reinfections were recorded, corresponding to a pooled rate of 0.97% (95% CI: 0.71%-1.27%), with no substantial differences by definition criteria, exposure risk or gender. Reinfection rates were still 0.66% after ≥12 months from first infection, and the risk was substantially lower among vaccinated subjects (0.32% vs. 0.74% for unvaccinated individuals). During the first 3 months of Omicron wave, the reinfection rates reached 3.31%. Overall rates of severe/lethal COVID-19 were very low (2-7 per 10,000 subjects according to definition criteria) and were not affected by strain predominance. CONCLUSIONS A strong natural immunity follows the primary infection and may last for more than one year, suggesting that the risk and health care needs of recovered subjects might be limited. Although the reinfection rates considerably increased during the Omicron wave, the risk of a secondary severe or lethal disease remained very low. The risk-benefit profile of multiple vaccine doses for this subset of population needs to be carefully evaluated.
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Affiliation(s)
- Maria Elena Flacco
- Department of Environmental and Preventive Sciences, University of Ferrara, Ferrara, Italy
| | | | - Valentina Baccolini
- Department of Public Health and Infectious Diseases, Sapienza University, Rome, Italy
| | - Corrado De Vito
- Department of Public Health and Infectious Diseases, Sapienza University, Rome, Italy
| | - Erika Renzi
- Department of Public Health and Infectious Diseases, Sapienza University, Rome, Italy
| | - Paolo Villari
- Department of Public Health and Infectious Diseases, Sapienza University, Rome, Italy
| | - Lamberto Manzoli
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
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12
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Rock LD, Madathil S, Khanna M, Macdonald LK, Quiñonez C, Glogauer M, Allison P. COVID-19 incidence and vaccination rates among Canadian dental hygienists. CANADIAN JOURNAL OF DENTAL HYGIENE : CJDH = JOURNAL CANADIEN DE L'HYGIENE DENTAIRE : JCHD 2022; 56:123-130. [PMID: 36451991 PMCID: PMC9674005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Oral health care settings potentially carry a high risk of cross-infection due to close contact and aerosol-generating procedures. There is limited evidence of the impact of COVID-19 among dental hygienists. This longitudinal study aimed to 1) estimate COVID-19 incidence rates among Canadian dental hygienists over a 1-year period; and 2) estimate vaccination rates among Canadian dental hygienists. METHODS A prospective cohort study design was used to collect self-reported COVID-19 status from 876 registered dental hygienists across Canada via an online baseline survey and then 6 follow-up questionnaires delivered between December 2020 and January 2022. Bayesian Poisson and binomial models were used to estimate the incidence rate and cumulative incidence of self-reported COVID-19. RESULTS The estimated cumulative incidence of COVID-19 in dental hygienists in Canada from December 2020 to January 2022 was 2.39% (95% CrI, 1.49%-3.50%), while the estimated cumulative incidence of COVID-19 in corresponding Canadian provinces was 5.12% (95% CrI, 5.12%-5.13%) during the same period. At last follow-up, 89.4% of participants self-reported that they had received at least 1 dose of a COVID-19 vaccine. CONCLUSION The low infection rate observed among Canadian dental hygienists between December 2020 and January 2022 is reassuring to the dental hygiene and general community.
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Affiliation(s)
- Leigha D Rock
- Faculty of Dentistry, Dalhousie University, Halifax, NS, Canada
- Department of Pathology, Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Sreenath Madathil
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, QC, Canada
| | - Mehak Khanna
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, QC, Canada
| | | | - Carlos Quiñonez
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Michael Glogauer
- Faculty of Dentistry, University of Toronto, Toronto, ON, Canada
| | - Paul Allison
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, QC, Canada
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13
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Malhotra S, Mani K, Lodha R, Bakhshi S, Mathur VP, Gupta P, Kedia S, Sankar MJ, Kumar P, Kumar A, H V, Ahuja V, Sinha S, Guleria R, Dua A, Ahmad S, Upadhyay AD, Sati HC, Mani K, Lokade AK, Devi KP, Johnson RM, Gowthaman K, Kumari M, Singh R, Kalra D, Swetambri, Vasudha, Sharma S, Singh A, Sharma V, Kanswal S, Sharma R, Giri T, Rajput S, Mehra G, Sharma A, Madan D, Singh M, Gupta A, Sharma S, Sachdeva S, Kumar M, Sachin, Singh AK, Gohar N, Kumar R, Kanojia N, Singhania J, Dubey R, Shukla S, G A, Sarkar S, Gupta I, Rai S, Tummala S, Reddy T, Vadodaria V, Sharma A, Gupta A, Vats M, Deori TJ, Jaiswal A, Pandit S. COVID-19 infection, and reinfection, and vaccine effectiveness against symptomatic infection among health care workers in the setting of omicron variant transmission in New Delhi, India. THE LANCET REGIONAL HEALTH. SOUTHEAST ASIA 2022; 3:100023. [PMID: 35769163 PMCID: PMC9167830 DOI: 10.1016/j.lansea.2022.100023] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Background Surge of SARS CoV-2 infections ascribed to omicron variant began in December 2021 in New Delhi. We determined the infection and reinfection density in a cohort of health care workers (HCWs) along with vaccine effectiveness (VE) against symptomatic infection within omicron transmission period (considered from December 01, 2021 to February 25, 2022. Methods This is an observational study from the All India Institute of Medical Sciences, New Delhi. Data were collected telephonically. Person-time at risk was counted from November 30, 2021 till date of infection/ reinfection, or date of interview. Comparison of clinical features and severity was done with previous pandemic periods. VE was estimated using test-negative case-control design [matched pairs (for age and sex)]. Vaccination status was compared and adjusted odds ratios (OR) were computed by conditional logistic regression. VE was estimated as (1-adjusted OR)X100-. Findings 11474 HCWs participated in this study. The mean age was 36⋅2 (±10⋅7) years. Complete vaccination with two doses were reported by 9522 (83%) HCWs [8394 (88%) Covaxin and 1072 Covishield (11%)]. The incidence density of all infections and reinfection during the omicron transmission period was 34⋅8 [95% Confidence Interval (CI): 33⋅5-36⋅2] and 45⋅6 [95% CI: 42⋅9-48⋅5] per 10000 person days respectively. The infection was milder as compared to previous periods. VE was 52⋅5% (95% CI: 3⋅9-76⋅5, p = 0⋅036) for those who were tested within 14-60 days of receiving second dose and beyond this period (61-180 days), modest effect was observed. Interpretation Almost one-fifth of HCWs were infected with SARS CoV-2 during omicron transmission period, with predominant mild spectrum of COVID-19 disease. Waning effects of vaccine protection were noted with increase in time intervals since vaccination. Funding None.
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Affiliation(s)
- Sumit Malhotra
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Kalaivani Mani
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Rakesh Lodha
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Sameer Bakhshi
- Department of Medical Oncology, Dr. B.R.A Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Vijay Prakash Mathur
- Division of Pedodontics and Preventive Dentistry, Centre for Dental Education and Research, All India Institute of Medical Sciences, New Delhi, India
| | - Pooja Gupta
- Department of Pharmacology, All India Institute of Medical Sciences, New Delhi, India
| | - Saurabh Kedia
- Department of Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, India
| | - Mari Jeeva Sankar
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Parmeshwar Kumar
- Department of Hospital Administration, All India Institute of Medical Sciences, New Delhi, India
| | - Arvind Kumar
- Department of Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Vikas H
- Department of Hospital Administration, All India Institute of Medical Sciences, New Delhi, India
| | - Vineet Ahuja
- Department of Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, India
| | - Subrata Sinha
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | | | - Aman Dua
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Shafi Ahmad
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Ashish Datt Upadhyay
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Hem Chandra Sati
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Kiruba Mani
- Dr. Rajendra Prasad Centre For Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India
| | - Amol Kumar Lokade
- Centre For Dental Education And Research, All India Institute of Medical Sciences, New Delhi, India
| | - K Pavithra Devi
- Centre For Dental Education And Research, All India Institute of Medical Sciences, New Delhi, India
| | - Riya Marie Johnson
- Centre For Dental Education And Research, All India Institute of Medical Sciences, New Delhi, India
| | - Keerthana Gowthaman
- Centre For Dental Education And Research, All India Institute of Medical Sciences, New Delhi, India
| | - Mamta Kumari
- Department of Medical Oncology, Dr. B.R.A Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Ritika Singh
- Department of Medical Oncology, Dr. B.R.A Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Devanshi Kalra
- Department of Medical Oncology, Dr. B.R.A Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Swetambri
- Department of Medical Oncology, Dr. B.R.A Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Vasudha
- Department of Medical Oncology, Dr. B.R.A Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Shubhangi Sharma
- Department of Medical Oncology, Dr. B.R.A Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Amit Singh
- Centralized Core Research Facility, All India Institute of Medical Sciences, New Delhi, India
| | - Vikas Sharma
- Centralized Core Research Facility, All India Institute of Medical Sciences, New Delhi, India
| | - Sunita Kanswal
- Centralized Core Research Facility, All India Institute of Medical Sciences, New Delhi, India
| | - Rahul Sharma
- Centralized Core Research Facility, All India Institute of Medical Sciences, New Delhi, India
| | - Tanika Giri
- Centralized Core Research Facility, All India Institute of Medical Sciences, New Delhi, India
| | - Simple Rajput
- Centralized Core Research Facility, All India Institute of Medical Sciences, New Delhi, India
| | - Geeta Mehra
- Centralized Core Research Facility, All India Institute of Medical Sciences, New Delhi, India
| | - Amit Sharma
- Centralized Core Research Facility, All India Institute of Medical Sciences, New Delhi, India
| | - Divya Madan
- Department of Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, India
| | - Mukesh Singh
- Department of Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, India
| | - Anvita Gupta
- Department of Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, India
| | - Shilpi Sharma
- Department of Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, India
| | - Surbhi Sachdeva
- Department of Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, India
| | - Mayank Kumar
- Department of Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, India
| | - Sachin
- Department of Gastroenterology & Human Nutrition, All India Institute of Medical Sciences, New Delhi, India
| | - Ajay Kumar Singh
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Naveen Gohar
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Ramu Kumar
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Nitin Kanojia
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Jyoti Singhania
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Ritu Dubey
- Department of Pediatrics, All India Institute of Medical Sciences, New Delhi, India
| | - Sakshi Shukla
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | - Abishek G
- Department of Biochemistry, All India Institute of Medical Sciences, New Delhi, India
| | - Swarnabha Sarkar
- Department of Physiology, All India Institute of Medical Sciences, New Delhi, India
| | - Ishan Gupta
- All India Institute of Medical Sciences, New Delhi, India
| | - Sabin Rai
- All India Institute of Medical Sciences, New Delhi, India
| | | | - Thrisha Reddy
- All India Institute of Medical Sciences, New Delhi, India
| | | | - Ajay Sharma
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Amit Gupta
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Manish Vats
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Trideep Jyoti Deori
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Abhishek Jaiswal
- Centre for Community Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sabitri Pandit
- Medical Device Monitoring Center, Department of Pharmacology, All India Institute of Medical Sciences, New Delhi, India
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14
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Markovic-Denic L, Zdravkovic M, Ercegovac M, Djukic V, Nikolic V, Cujic D, Micic D, Pekmezovic T. Seroprevalence in health care workers during the later phase of the second wave: Results of three hospitals in Serbia, prior to vaccine administration. J Infect Public Health 2022; 15:739-745. [PMID: 35691217 PMCID: PMC9130304 DOI: 10.1016/j.jiph.2022.05.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 05/11/2022] [Accepted: 05/15/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Since the COVID-19 pandemic has started, Serbia has faced problems in implementing proper public health measures in the population, including non-pharmaceutical interventions, as well as protecting health care workers (HCWs) from disease, like all other countries. This study aimed to estimate COVID-19 seroprevalence and evaluate the risk perception of COVID-19 among HCWs in three different hospitals in Belgrade, Serbia: non-COVID hospital, Emergency Center (EC), and dedicated COVID hospital. METHODS A cross-sectional study was conducted in three hospitals during the second wave of the outbreak in Serbia, from June to early October. All staff in these hospitals were invited to voluntarily participate in blood sampling for IgG antibodies against SARS-CoV-2 and questionnaire testing. The questionnaire included socio-demographic characteristics, known exposure to COVID-19 positive persons, previous signs and symptoms related to COVID-19 infection since the outbreak had started in our country, and SARS-CoV-2 PCR testing. RESULTS The overall prevalence of SARS-CoV-2 antibody among 1580 HCWs was 18.3 % [95 % CI 16.4-20.3 %]. Significantly higher prevalence of HCWs with positive results for the serum IgG antibody test was observed in COVID hospital (28.6 %, 95 %CI: 24.0-33.6 %) vs. prevalence in the EC (12.6 %, 95 %CI: 10.1-15.4 %), and in the non-COVID hospital (18.3 %, 95 %CI: 15.2-26.7 %). The prevalence adjusted for declared test sensitivity and specificity would be 16.8 %; that is 27.4 % in COVID-19 hospital, 10.9 % in EC, and 16.8 % in non-COVID hospital. In multivariate logistic regression analysis, the independent predictors for seropositivity were working in COVID-hospital, the profession of physician, and the presence of the following symptoms: fever, shortness of breath, and anosmia/ageusia. CONCLUSIONS We found an overall seropositivity rate of 18.3 % and 16.0 % of the adjusted rate that is higher than seroprevalence obtained in similar studies conducted before vaccinations started. The possibility that patients in non-COVID dedicated hospitals might also be infectious, although PCR tested, imposes the need for the use of personal protective equipment also in non-COVID medical institutions.
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Affiliation(s)
- Ljiljana Markovic-Denic
- University of Belgrade, Faculty of Medicine, Belgrade, Serbia; Institute of Epidemiology, Belgrade, Serbia.
| | - Marija Zdravkovic
- University of Belgrade, Faculty of Medicine, Belgrade, Serbia; University Medical Center Bezanijska kosa, Belgrade, Serbia
| | - Marko Ercegovac
- University of Belgrade, Faculty of Medicine, Belgrade, Serbia; Emergency Center of the Clinical Center of Serbia, Belgrade, Serbia
| | - Vladimir Djukic
- University of Belgrade, Faculty of Medicine, Belgrade, Serbia; Clinical Centre dr Dragisa Misovic, Belgrade, Serbia
| | - Vladimir Nikolic
- University of Belgrade, Faculty of Medicine, Belgrade, Serbia; Institute of Epidemiology, Belgrade, Serbia
| | - Danica Cujic
- University of Belgrade, Institute for the Application of Nuclear Energy INEP, Belgrade, Serbia
| | - Dusan Micic
- University of Belgrade, Faculty of Medicine, Belgrade, Serbia; Emergency Center of the Clinical Center of Serbia, Belgrade, Serbia
| | - Tatjana Pekmezovic
- University of Belgrade, Faculty of Medicine, Belgrade, Serbia; Institute of Epidemiology, Belgrade, Serbia
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15
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Qaseem A, Yost J, Etxeandia-Ikobaltzeta I, Forciea MA, Abraham GM, Miller MC, Obley AJ, Humphrey LL, Akl EA, Andrews R, Dunn A, Haeme R, Kansagara DL, Tschanz MP. What Is the Antibody Response and Role in Conferring Natural Immunity After SARS-CoV-2 Infection? Rapid, Living Practice Points From the American College of Physicians (Version 2). Ann Intern Med 2022; 175:556-565. [PMID: 35073153 PMCID: PMC8803138 DOI: 10.7326/m21-3272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
DESCRIPTION The Scientific Medical Policy Committee (SMPC) of the American College of Physicians (ACP) developed these living, rapid practice points to summarize the current best available evidence on the antibody response to SARS-CoV-2 infection and protection against reinfection with SARS-CoV-2. This is version 2 of the ACP practice points, which serves to update version 1, published on 16 March 2021. These practice points do not evaluate vaccine-acquired immunity or cellular immunity. METHODS The SMPC developed this version of the living, rapid practice points based on an updated living, rapid, systematic review conducted by the Portland VA Research Foundation and funded by the Agency for Healthcare Research and Quality. PRACTICE POINT 1 Do not use SARS-CoV-2 antibody tests for the diagnosis of SARS-CoV-2 infection. PRACTICE POINT 2 Do not use SARS-CoV-2 antibody tests to predict the degree or duration of natural immunity conferred by antibodies against reinfection, including natural immunity against different variants. RETIREMENT FROM LIVING STATUS Although natural immunity remains a topic of scientific interest, this topic is being retired from living status given the availability of effective vaccines for SARS-CoV-2 and widespread recommendations for and prevalence of their use. Currently, vaccination is the best clinical recommendation for preventing infection, reinfection, and serious illness from SARS-CoV-2 and its variants.
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Affiliation(s)
- Amir Qaseem
- American College of Physicians, Philadelphia, Pennsylvania (A.Q., I.E.)
| | - Jennifer Yost
- American College of Physicians, Philadelphia, and Villanova University, Villanova, Pennsylvania (J.Y.)
| | | | | | - George M Abraham
- University of Massachusetts Medical School/Saint Vincent Hospital, Worcester, Massachusetts (G.M.A.)
| | | | - Adam J Obley
- Portland Veterans Affairs Medical Center and Oregon Health & Science University, Portland, Oregon (A.J.O., L.L.H.)
| | - Linda L Humphrey
- Portland Veterans Affairs Medical Center and Oregon Health & Science University, Portland, Oregon (A.J.O., L.L.H.)
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16
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Helfand M, Fiordalisi C, Wiedrick J, Ramsey KL, Armstrong C, Gean E, Winchell K, Arkhipova-Jenkins I. Risk for Reinfection After SARS-CoV-2: A Living, Rapid Review for American College of Physicians Practice Points on the Role of the Antibody Response in Conferring Immunity Following SARS-CoV-2 Infection. Ann Intern Med 2022; 175:547-555. [PMID: 35073157 PMCID: PMC8791447 DOI: 10.7326/m21-4245] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND The strength and duration of immunity from infection with SARS-CoV-2 are important for public health planning and clinical practice. PURPOSE To synthesize evidence on protection against reinfection after SARS-CoV-2 infection. DATA SOURCES MEDLINE (Ovid), the World Health Organization global literature database, ClinicalTrials.gov, COVID19reviews.org, and reference lists. STUDY SELECTION Longitudinal studies that compared the risk for reinfection after SARS-CoV-2 infection versus infection risk in individuals with no prior infection. DATA EXTRACTION Two investigators sequentially extracted study data and rated quality. DATA SYNTHESIS Across 18 eligible studies, reinfection risk ranged from 0% to 2.2%. In persons with recent SARS-CoV-2 infection compared with unvaccinated, previously uninfected individuals, 80% to 98% of symptomatic infections with wild-type or Alpha variants were prevented (high strength of evidence). In the meta-analysis, previous infection reduced risk for reinfection by 87% (95% CI, 84% to 90%), equaling 4.3 fewer infections per 100 persons in both the general population (risk difference, -0.043 [CI, -0.071 to -0.015]) and health care workers (risk difference, -0.043 [CI, -0.069 to -0.016]), and 26.6 fewer infections per 100 persons in care facilities (risk difference, -0.266 [CI, -0.449 to -0.083]). Protection remained above 80% for at least 7 months, but no study followed patients after the emergence of the Delta or Omicron variant. Results for the elderly were conflicting. LIMITATION Methods to ascertain and diagnose infections varied. CONCLUSION Before the emergence of the Delta and Omicron variants, persons with recent infection had strong protection against symptomatic reinfections for 7 months compared with unvaccinated, previously uninfected individuals. Protection in immunocompromised persons, racial and ethnic subgroups, and asymptomatic index case patients is unclear. The durability of protection in the setting of the Delta and Omicron variants is unknown. PRIMARY FUNDING SOURCE Agency for Healthcare Research and Quality. (PROSPERO: CRD42020207098).
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Affiliation(s)
- Mark Helfand
- Scientific Resource Center for the AHRQ Evidence-based Practice Center Program, Portland VA Research Foundation, VA Portland Healthcare System, Portland, Oregon (M.H., C.F., C.A., E.G., K.W., I.A.)
| | - Celia Fiordalisi
- Scientific Resource Center for the AHRQ Evidence-based Practice Center Program, Portland VA Research Foundation, VA Portland Healthcare System, Portland, Oregon (M.H., C.F., C.A., E.G., K.W., I.A.)
| | - Jack Wiedrick
- Biostatistics & Design Program, Oregon Health & Science University, Portland, Oregon (J.W., K.L.R.)
| | - Katrina L Ramsey
- Biostatistics & Design Program, Oregon Health & Science University, Portland, Oregon (J.W., K.L.R.)
| | - Charlotte Armstrong
- Scientific Resource Center for the AHRQ Evidence-based Practice Center Program, Portland VA Research Foundation, VA Portland Healthcare System, Portland, Oregon (M.H., C.F., C.A., E.G., K.W., I.A.)
| | - Emily Gean
- Scientific Resource Center for the AHRQ Evidence-based Practice Center Program, Portland VA Research Foundation, VA Portland Healthcare System, Portland, Oregon (M.H., C.F., C.A., E.G., K.W., I.A.)
| | - Kara Winchell
- Scientific Resource Center for the AHRQ Evidence-based Practice Center Program, Portland VA Research Foundation, VA Portland Healthcare System, Portland, Oregon (M.H., C.F., C.A., E.G., K.W., I.A.)
| | - Irina Arkhipova-Jenkins
- Scientific Resource Center for the AHRQ Evidence-based Practice Center Program, Portland VA Research Foundation, VA Portland Healthcare System, Portland, Oregon (M.H., C.F., C.A., E.G., K.W., I.A.)
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Evaluation of the analytical performance of anti-SARS-CoV-2 antibody test kits distributed or developed in Japan. Bioanalysis 2022; 14:325-340. [PMID: 35234530 PMCID: PMC8890363 DOI: 10.4155/bio-2021-0254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background: With the spread of COVID-19, anti-SARS-CoV-2 antibody tests have been utilized. Herein we evaluated the analytical performance of anti-SARS-CoV-2 antibody test kits using a new reference standard prepared from COVID-19 patient sera. Methods: Fifty-seven kits in total (16 immunochromatography types, 11 ELISA types and 30 types for automated analyzers) were examined. By measuring serially diluted reference standards, the maximum dilution factor showing a positive result and its precision were investigated. Results: The measured cut-off titers varied largely depending on the antibody kit; however, the variability was small, with the titers obtained by each kit being within twofold in most cases. Conclusion: The current results suggest that a suitable kit should be selected depending on the intended purpose.
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Brousseau N, Morin L, Ouakki M, Savard P, Quach C, Longtin Y, Cheng MP, Carignan A, Dufresne SF, Leduc JM, Lavallée C, Gauthier N, Bestman-Smith J, Arrieta MJ, Ishak M, Lévesque S, Martin P, De Serres G. SARS-CoV-2 seroprevalence in health care workers from 10 hospitals in Quebec, Canada: a cross-sectional study. CMAJ 2021; 193:E1868-E1877. [PMID: 34903591 PMCID: PMC8677578 DOI: 10.1503/cmaj.202783] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic has disproportionately affected health care workers. We sought to estimate SARS-CoV-2 seroprevalence among hospital health care workers in Quebec, Canada, after the first wave of the pandemic and to explore factors associated with SARS-CoV-2 seropositivity. METHODS Between July 6 and Sept. 24, 2020, we enrolled health care workers from 10 hospitals, including 8 from a region with a high incidence of COVID-19 (the Montréal area) and 2 from low-incidence regions of Quebec. Eligible health care workers were physicians, nurses, orderlies and cleaning staff working in 4 types of care units (emergency department, intensive care unit, COVID-19 inpatient unit and non-COVID-19 inpatient unit). Participants completed a questionnaire and underwent SARS-CoV-2 serology testing. We identified factors independently associated with higher seroprevalence. RESULTS Among 2056 enrolled health care workers, 241 (11.7%) had positive SARS-CoV-2 serology. Of these, 171 (71.0%) had been previously diagnosed with COVID-19. Seroprevalence varied among hospitals, from 2.4% to 3.7% in low-incidence regions to 17.9% to 32.0% in hospitals with outbreaks involving 5 or more health care workers. Higher seroprevalence was associated with working in a hospital where outbreaks occurred (adjusted prevalence ratio 4.16, 95% confidence interval [CI] 2.63-6.57), being a nurse or nursing assistant (adjusted prevalence ratio 1.34, 95% CI 1.03-1.74) or an orderly (adjusted prevalence ratio 1.49, 95% CI 1.12-1.97), and Black or Hispanic ethnicity (adjusted prevalence ratio 1.41, 95% CI 1.13-1.76). Lower seroprevalence was associated with working in the intensive care unit (adjusted prevalence ratio 0.47, 95% CI 0.30-0.71) or the emergency department (adjusted prevalence ratio 0.61, 95% CI 0.39-0.98). INTERPRETATION Health care workers in Quebec hospitals were at high risk of SARS-CoV-2 infection, particularly in outbreak settings. More work is needed to better understand SARS-CoV-2 transmission dynamics in health care settings.
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Affiliation(s)
- Nicholas Brousseau
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que.
| | - Laurianne Morin
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Manale Ouakki
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Patrice Savard
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Caroline Quach
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Yves Longtin
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Matthew P Cheng
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Alex Carignan
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Simon F Dufresne
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Jean-Michel Leduc
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Christian Lavallée
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Nicolas Gauthier
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Julie Bestman-Smith
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Maria-Jesus Arrieta
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Magued Ishak
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Simon Lévesque
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Philippe Martin
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
| | - Gaston De Serres
- Institut national de santé publique du Québec (Brousseau, Ouakki, De Serres), Montréal, Que.; Centre de recherche du CHU de Québec-Université Laval (Brousseau, Morin, De Serres), Québec, Que.; Départements de médecine et de médecine des laboratoires (Savard), Centre Hospitalier de l'Université de Montréal; Centre de recherche du Centre Hospitalier de l'Université de Montréal (Savard); Department of Microbiology, Infectious Diseases & Immunology (Quach), CHU Sainte-Justine, Université de Montréal; Jewish General Hospital (Longtin); Divisions of Infectious Disease and Medical Microbiology (Cheng), McGill University Health Center, Montréal, Que.; CIUSSS de l'Estrie - CHUS (Carignan, Lévesque, Martin); Département de microbiologie et infectiologie (Carignan, Lévesque, Martin), Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, Que.; Département de médecine (Dufresne, Lavallée), CIUSSS-de-l'Est-de-l'Île-de-Montréal; CIUSSS du Nord-de-l'Île-de-Montréal (Leduc, Gauthier), Montréal, Que.; Hôpital de l'Enfant-Jésus du CHU de Québec (Bestman-Smith), Québec, Que.; CIUSSS de l'Ouest-de-l'Île-de-Montréal (Arrieta); CIUSSS du Centre-Sud-de-l'île-de-Montréal (Ishak), Montréal, Que
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19
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Haq I, Qurieshi MA, Khan MS, Majid S, Bhat AA, Kousar R, Chowdri IN, Qazi TB, Lone AA, Sabah I, Kawoosa MF, Nabi S, Sumji IA, Ayoub S, Khan MA, Asma A, Ismail S. The burden of SARS-CoV-2 among healthcare workers across 16 hospitals of Kashmir, India-A seroepidemiological study. PLoS One 2021; 16:e0259893. [PMID: 34797880 PMCID: PMC8604293 DOI: 10.1371/journal.pone.0259893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 10/29/2021] [Indexed: 11/19/2022] Open
Abstract
SARS-CoV-2 pandemic has greatly affected healthcare workers because of the high risk of getting infected. The present cross-sectional study measured SARS-CoV-2 antibody in healthcare workers of Kashmir, India. METHODS Serological testing to detect antibodies against nucleocapsid protein of SARS-CoV-2 was performed in 2003 healthcare workers who voluntarily participated in the study. RESULTS We report relatively high seropositivity of 26.8% (95% CI 24.8-28.8) for SARS-CoV-2in healthcare workers, nine months after the first case was detected in Kashmir. Most of the healthcare workers (71.7%) attributed infection to the workplace environment. Among healthcare workers who neither reported any prior symptom nor were they ever tested for infection by nasopharyngeal swab test, 25.5% were seropositive. CONCLUSION We advocate interval testing by nasopharyngeal swab test of all healthcare workers regardless of symptoms to limit the transmission of infection within healthcare settings.
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Affiliation(s)
- Inaamul Haq
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Mariya Amin Qurieshi
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
- * E-mail:
| | - Muhammad Salim Khan
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Sabhiya Majid
- Department of Biochemistry, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Arif Akbar Bhat
- Department of Biochemistry, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Rafiya Kousar
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Iqra Nisar Chowdri
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Tanzeela Bashir Qazi
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Abdul Aziz Lone
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Iram Sabah
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Misbah Ferooz Kawoosa
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Shahroz Nabi
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Ishtiyaq Ahmad Sumji
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Shifana Ayoub
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Mehvish Afzal Khan
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Anjum Asma
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
| | - Shaista Ismail
- Department of Community Medicine, Government Medical College, Srinagar, Jammu and Kashmir, India
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20
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Petráš M. Highly Effective Naturally Acquired Protection Against COVID-19 Persists for at Least 1 Year: A Meta-Analysis. J Am Med Dir Assoc 2021; 22:2263-2265. [PMID: 34582779 PMCID: PMC8443339 DOI: 10.1016/j.jamda.2021.08.042] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/24/2021] [Accepted: 08/24/2021] [Indexed: 10/27/2022]
Affiliation(s)
- Marek Petráš
- Department of Epidemiology and Biostatistics, Third Faculty of Medicine, Charles University, Prague, Czech Republic
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21
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Li KK, Woo YM, Stirrup O, Hughes J, Ho A, Filipe ADS, Johnson N, Smollett K, Mair D, Carmichael S, Tong L, Nichols J, Aranday-Cortes E, Brunker K, Parr YA, Nomikou K, McDonald SE, Niebel M, Asamaphan P, Sreenu VB, Robertson DL, Taggart A, Jesudason N, Shah R, Shepherd J, Singer J, Taylor AHM, Cousland Z, Price J, Lees JS, Jones TPW, Lopez CV, MacLean A, Starinskij I, Gunson R, Morris STW, Thomson PC, Geddes CC, Traynor JP, Breuer J, Thomson EC, Mark PB. Genetic epidemiology of SARS-CoV-2 transmission in renal dialysis units - A high risk community-hospital interface. J Infect 2021; 83:96-103. [PMID: 33895226 PMCID: PMC8061788 DOI: 10.1016/j.jinf.2021.04.020] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 04/18/2021] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Patients requiring haemodialysis are at increased risk of serious illness with SARS-CoV-2 infection. To improve the understanding of transmission risks in six Scottish renal dialysis units, we utilised the rapid whole-genome sequencing data generated by the COG-UK consortium. METHODS We combined geographical, temporal and genomic sequence data from the community and hospital to estimate the probability of infection originating from within the dialysis unit, the hospital or the community using Bayesian statistical modelling and compared these results to the details of epidemiological investigations. RESULTS Of 671 patients, 60 (8.9%) became infected with SARS-CoV-2, of whom 16 (27%) died. Within-unit and community transmission were both evident and an instance of transmission from the wider hospital setting was also demonstrated. CONCLUSIONS Near-real-time SARS-CoV-2 sequencing data can facilitate tailored infection prevention and control measures, which can be targeted at reducing risk in these settings.
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Affiliation(s)
- Kathy K Li
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Y Mun Woo
- The Glasgow Renal & Transplant Unit, Queen Elizabeth University Hospital University Hospital, 1345 Govan Road, Glasgow, G51 4TF, UK
| | - Oliver Stirrup
- Institute for Global Health, University College London, London, UK
| | - Joseph Hughes
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Antonia Ho
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Ana Da Silva Filipe
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Natasha Johnson
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Katherine Smollett
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Daniel Mair
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Stephen Carmichael
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Lily Tong
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Jenna Nichols
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Elihu Aranday-Cortes
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Kirstyn Brunker
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Yasmin A Parr
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Kyriaki Nomikou
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Sarah E McDonald
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Marc Niebel
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Patawee Asamaphan
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Vattipally B Sreenu
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - David L Robertson
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Aislynn Taggart
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Natasha Jesudason
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Rajiv Shah
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - James Shepherd
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Josh Singer
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK
| | - Alison H M Taylor
- Renal Unit, University Hospital Monklands, Monkscourt Ave, Airdrie ML6 0JS, Canada
| | - Zoe Cousland
- Renal Unit, University Hospital Monklands, Monkscourt Ave, Airdrie ML6 0JS, Canada
| | - Jonathan Price
- Renal Unit, University Hospital Monklands, Monkscourt Ave, Airdrie ML6 0JS, Canada
| | - Jennifer S Lees
- Renal Unit, University Hospital Monklands, Monkscourt Ave, Airdrie ML6 0JS, Canada; Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow G12 8TA, UK
| | - Timothy P W Jones
- Department of Infectious Diseases, University Hospital Monklands, Monkscourt Ave, Airdrie ML60JS, Canada
| | - Carlos Varon Lopez
- Department of Microbiology, University Hospital Monklands, Monkscourt Ave, Airdrie ML6 0JS, Canada
| | - Alasdair MacLean
- West of Scotland Specialist Virology Centre, Glasgow Royal Infirmary, UK
| | - Igor Starinskij
- West of Scotland Specialist Virology Centre, Glasgow Royal Infirmary, UK
| | - Rory Gunson
- West of Scotland Specialist Virology Centre, Glasgow Royal Infirmary, UK
| | - Scott T W Morris
- The Glasgow Renal & Transplant Unit, Queen Elizabeth University Hospital University Hospital, 1345 Govan Road, Glasgow, G51 4TF, UK
| | - Peter C Thomson
- The Glasgow Renal & Transplant Unit, Queen Elizabeth University Hospital University Hospital, 1345 Govan Road, Glasgow, G51 4TF, UK
| | - Colin C Geddes
- The Glasgow Renal & Transplant Unit, Queen Elizabeth University Hospital University Hospital, 1345 Govan Road, Glasgow, G51 4TF, UK
| | - Jamie P Traynor
- The Glasgow Renal & Transplant Unit, Queen Elizabeth University Hospital University Hospital, 1345 Govan Road, Glasgow, G51 4TF, UK
| | - Judith Breuer
- Institute of Child Health University College London, Cruciform Building, Gower Street, London, WC1E 6BT, UK
| | - Emma C Thomson
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK; Department of Clinical Research, London School of Hygiene and Tropical Medicine, UK.
| | - Patrick B Mark
- MRC-University of Glasgow Centre for Virus Research, Sir Michael Stoker building, 464 Bearsden Road, Glasgow, G61 1QH, UK; Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow G12 8TA, UK.
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22
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Seven days in medicine: 19-25 May 2021. BMJ 2021; 373:n1319. [PMID: 34045221 DOI: 10.1136/bmj.n1319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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23
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Charpentier C, Pellissier G, Ichou H, Ferré VM, Larfi I, Phung BC, Vallois D, LeGac S, Aubier M, Descamps D, Fidouh-Houhou N, Bouvet E. Contribution of rapid lateral flow assays from capillary blood specimens to the diagnosis of COVID-19 in symptomatic healthcare workers: a pilot study in a university hospital, Paris, France. Diagn Microbiol Infect Dis 2021; 101:115430. [PMID: 34229244 PMCID: PMC8130593 DOI: 10.1016/j.diagmicrobio.2021.115430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 05/05/2021] [Accepted: 05/08/2021] [Indexed: 11/28/2022]
Abstract
Background This study aimed to assess, by rapid tests, the immune status against COVID-19 among Healthcare Workers (HCW) with history of symptoms, and for whom SARS-CoV-2 detection was either not documented or negative. Methods Whole blood by finger prick and serum samples were taken from HCW for use with 2 rapid lateral flow tests and an automated immunoassay. Results Seventy-two HCWs were included, median duration between symptoms onset and serology sampling was 68 days. Anti-SARS-CoV-2 antibodies were detected by rapid test in 11 HCW (15.3%) and confirmed in the 10 with available serum by the automated immunoassay. The frequency of ageusia or anosmia was higher in participants with SARS-CoV-2 antibodies (P = 0.0006 and P = 0.029, respectively). Conclusions This study, among symptomatic HCW during the first wave in France, showed that 15% had IgG anti-SARS-CoV-2, a higher seroprevalence than in the general population. Rapid lateral flow tests were highly concordant with automated immunoassay.
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Affiliation(s)
- Charlotte Charpentier
- Service de Virologie, Université de Paris, INSERM, IAME, UMR 1137, AP-HP, Hôpital Bichat-Claude Bernard, Paris, France.
| | - Gérard Pellissier
- Groupe d'Étude sur le Risque d'Exposition des Soignants aux agents infectieux (GERES), UFR de Médecine Bichat, Paris, France
| | - Houria Ichou
- Service de Virologie, Université de Paris, INSERM, IAME, UMR 1137, AP-HP, Hôpital Bichat-Claude Bernard, Paris, France
| | - Valentine Marie Ferré
- Service de Virologie, Université de Paris, INSERM, IAME, UMR 1137, AP-HP, Hôpital Bichat-Claude Bernard, Paris, France
| | - Isabelle Larfi
- Inserm U1152, Université de Paris, Site Bichat, Paris, France
| | - Bao-Chau Phung
- Service de Maladies Infectieuses et Tropicales, Hôpital Bichat-Claude Bernard, Paris, France
| | - Dorothée Vallois
- Service de Maladies Infectieuses et Tropicales, Hôpital Bichat-Claude Bernard, Paris, France
| | - Sylvie LeGac
- Service de Maladies Infectieuses et Tropicales, Hôpital Bichat-Claude Bernard, Paris, France; COREVIH Ile-de-France Nord, Paris, France
| | - Michel Aubier
- Inserm U1152, Université de Paris, Site Bichat, Paris, France
| | - Diane Descamps
- Service de Virologie, Université de Paris, INSERM, IAME, UMR 1137, AP-HP, Hôpital Bichat-Claude Bernard, Paris, France
| | - Nadhira Fidouh-Houhou
- Service de Virologie, Université de Paris, INSERM, IAME, UMR 1137, AP-HP, Hôpital Bichat-Claude Bernard, Paris, France
| | - Elisabeth Bouvet
- Service de Maladies Infectieuses et Tropicales, Hôpital Bichat-Claude Bernard, Paris, France; COREVIH Ile-de-France Nord, Paris, France
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