Literature DB >> 35288252

Risk of SARS-CoV-2 transmission upon return to work in RNA-positive healthcare workers.

L M Kolodziej1, S Hordijk2, J Koopsen2, J J Maas3, H T Thung3, I J B Spijkerman2, M Jonges2, M K Bomers4, J J Sikkens4, M D de Jong2, R Zonneveld2, J Schinkel2.   

Abstract

BACKGROUND: Healthcare workers (HCWs) are at risk for coronavirus disease 2019 (COVID-19), and for spreading severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) amongst colleagues and patients. AIM: To study the presence of SARS-CoV-2 RNA and possible onward transmission by HCWs upon return to work after COVID-19, and association with disease severity and development of antibodies over time.
METHODS: Unvaccinated HCWs with positive SARS-CoV-2 reverse transcriptase polymerase chain reaction (RT-PCR) were recruited prospectively. Data on symptoms were collected via telephone questionnaires on days 2, 7, 14 and 21 after a positive test. Upon return to work, repeat SARS-CoV-2 RT-PCR was performed and serum was collected. Repeat serum samples were collected at weeks 4, 8, 12 and 16 to determine antibody dynamics over time. Phylogenetic analysis was conducted to investigate possible transmission events originating from HCWs with a positive repeat RT-PCR.
FINDINGS: Sixty-one (84.7%) participants with mild/moderate COVID-19 had a repeat SARS-CoV-2 RT-PCR performed upon return to work (median 13 days after symptom onset), of which 30 (49.1%) were positive with a median cycle threshold (Ct) value of 29.2 (IQR 26.9-29.9). All HCWs developed antibodies against SARS-CoV-2. No significant differences in symptomatology and presence of antibodies were found between repeat RT-PCR-positive and -negative HCWs. Eleven direct colleagues of six participants with a repeat RT-PCR Ct value <30 tested positive after the HCW returned to work. Phylogenetic and epidemiologic analysis did not indicate onward transmission through HCWs who were SARS-CoV-2 RNA positive upon return to work.
CONCLUSIONS: HCWs regularly return to work with substantial SARS-CoV-2 RNA loads. However, this study found no evidence for subsequent in-hospital transmission.
Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  COVID-19; Healthcare worker; Infectious disease transmission; SARS-CoV-2

Mesh:

Substances:

Year:  2022        PMID: 35288252      PMCID: PMC8916832          DOI: 10.1016/j.jhin.2022.02.024

Source DB:  PubMed          Journal:  J Hosp Infect        ISSN: 0195-6701            Impact factor:   8.944


Introduction

Healthcare workers (HCWs) play a critical role in the response against the ongoing coronavirus disease 2019 (COVID-19) pandemic. Multiple studies have shown higher infection rates in HCWs compared with the general population, suggesting an occupational risk [[1], [2], [3]]. As for all confirmed cases, COVID-19 in HCWs requires measures to prevent transmission, including quarantine. Hereby, (long) periods of absence can increase the strain on the healthcare system. During this study, hospital guidelines prescribed that HCWs with confirmed COVID-19 could return to work 24 h after symptom resolution. National and international guidelines generally recommend a minimal duration of isolation of 7–10 days after onset of COVID-19 symptoms, and 24 h to 5 days after improvement or resolution of symptoms [[4], [5], [6], [7]]. Some guidelines mention the option of retesting before returning to work in specific circumstances (e.g. for HCWs with severe immune deficiencies) [5,6,8], but standard retesting before returning to work is not recommended by other guidelines as the assumed risk of transmission is considered to be negligible after these time periods [9,10]. On the other hand, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) RNA can be detected in upper respiratory tract samples for prolonged periods, even without symptoms [11]. These cases are not considered to be infectious, as studies in mild cases of COVID-19 have found that no viable virus could be detected in individuals with prolonged shedding of SARS-CoV-2 RNA [12,13]. However, in these studies, samples were collected from 14 to 30 days after diagnosis, whereas most HCWs may resume work sooner. In addition, in these studies, viral culture was performed to determine infectivity and corresponding risk of transmission. As the standard procedure for HCWs returning to work in Dutch hospitals after SARS-CoV-2 infection does not include reverse transcriptase polymerase chain reaction (RT-PCR) or viral culture, viral loads at that time are not determined, and the risk of transmission by mild cases who may return to work sooner remains unclear. Repeat RT-PCR testing could further examine the risk of transmission of HCWs upon return to work. Furthermore, the presence of SARS-CoV-2-specific antibodies has been negatively correlated with the presence of infectious virus [14,15]. Therefore, antibody dynamics could be valuable in determining the risk of transmission upon return to work, and subsequent re-infection in this population with increased occupational risk. The aim of this prospective observational study was to assess the presence of SARS-CoV-2 RNA and corresponding cycle threshold (Ct) values upon resolution of symptoms in HCWs infected with SARS-CoV-2, and its relation to disease severity, antibody dynamics and risk of transmission.

Methods

Study design

Participants

Amsterdam University Medical Centres (Amsterdam UMC), The Netherlands, offers SARS-CoV-2 RT-PCR testing of combined nasopharyngeal and oropharyngeal swab specimens for HCWs with COVID-19-like symptoms (coughing, pharyngitis, dyspnoea, rhinitis, and anosmia or dysgeusia). HCWs that tested positive in routine testing between May and September 2020, during the national ‘second wave’ and before the national vaccination campaign started, were invited to participate in this prospective observational study.

Sampling process

On day 2 after the positive SARS-CoV-2 RT-PCR, a telephone questionnaire was administered regarding signs and symptoms at the time of disease onset, as well as at the present time. The presence of 14 predefined symptoms (coughing, pharyngitis, dyspnoea, rhinitis, abdominal pain, diarrhoea, nausea, vomiting, anorexia, fever, myalgia, headache, fatigue, and anosmia or dysgeusia) was determined. Follow-up symptomatology questionnaires were conducted on days 7, 14 and 21, as long as participants reported experiencing symptoms. Repeat nasopharyngeal and oropharyngeal swabs and initial serum were collected when HCWs returned to work. Hospital guidelines for returning to work required that all respiratory symptoms had to be resolved for >24 h. Anosmia, dysgeusia and fatigue were not required to be resolved upon returning to work. Repeat serum samples were collected at weeks 4, 8, 12 and 16 after the initial positive RT-PCR. All sera were stored at -20 °C until serological tests were performed. The nasopharyngeal and oropharyngeal swabs were collected in E-swab or UTM viral transport medium (COPAN Diagnostics, Murrieta, CA, USA).

Laboratory assays

SARS-CoV-2 RNA was extracted using the MagNA Pure 96 system (Roche, Penzberg, Germany). RT-PCR targeting the SARS-CoV-2 E gene was performed according to a previously published protocol [16]. The presence of antibodies was determined by the enzyme-linked-immunosorbent-assay-based Wantai SARS-CoV-2 double antigen sandwich total antibody assay (Wantai Biological Pharmacy, Beijing, China).

Contact tracing in HCWs that returned to work

Standard contact tracing was performed for every SARS-CoV-2-positive HCW (or patient) by the Infection Control Department. To investigate the risk of transmission of HCWs with a positive repeat PCR, potential secondary infections were identified using data from the Occupational Health and Infection Control Department. Potential secondary infections were defined as contacts within the same department that tested positive for SARS-CoV-2 within 7 days after study participants with a repeat RT-PCR Ct value <30 returned to work. Viral genomes of specimens of study participants and return-to-work contacts were amplified using the Ion AmpliSeq SARS-CoV-2 Research Panel, and sequenced on an Ion GeneStudio S5 system (both from ThermoFisher Scientific, Waltham, MA, USA). Sequences were analysed phylogenetically to infer relatedness in a background of contemporaneous SARS-CoV-2 viral genomes from the Netherlands, derived from the GISAID database (Table S1, see online supplementary material). A maximum-likelihood phylogeny was constructed using the Augur pipeline [17]. This study used procedures taken from [github.com/nextstrain/ncov] including the clock rate, reference genome and site masking. Trees were visualized using ggtree [18] as implemented in R (R Core Team, Vienna, Austria).

Ethics and consent

Informed consent was obtained from all participants. The study was reviewed and approved by the Amsterdam UMC Institutional Review Board, and conducted in accordance with the Declaration of Helsinki, and national and institutional standards.

Statistical analysis

Unknown or missing answers in the symptomatology questionnaires were considered as absent. Fatigue and anosmia/dysgeusia were not included to determine disease duration. Sera with an absorbance/cut-off ratio (s/c) >1.1 were considered positive, and samples with an s/c <0.9 were considered negative. An s/c between 0.9 and 1.1 was considered indeterminate. Data were analysed using RStudio (R Core Team) and Graphpad Prism Version 9.0.2 for Mac (GraphPad Software, San Diego, CA, USA). Normality checks were performed using the Shapiro–Wilk test. Descriptive analyses were made on baseline characteristics and the number of observations, presented as number and percentage. For descriptive statistics, quantitative variables that did not follow a normal distribution are presented as median and interquartile range (IQR). Binomial logistic regression was used to calculate odds ratios and 95% confidence intervals for evaluating the association of the presence of symptoms with seroprevalence and presence of viral RNA. P-values <0.05 were considered to indicate significance.

Results

Participants

In total, 72 HCWs were included in this study. Demographics are shown in Table I . One HCW was admitted to hospital (1.4%). Upon study inclusion, 20.8% of the HCWs reported that they had worked while having COVID-like symptoms before they tested positive. Experiencing mild symptoms that were not directly recognized was the most common explanation.
Table I

Descriptive statistics of the study cohort

CharacteristicValue
Age, median (IQR)33 (26.0–45.0)
Female, N (%)54 (75.0)
Body mass index, median (IQR)23 (20.5–26.9)
Profession, N (%)
 Direct patient contact44 (61.1)
 Physician10 (15.3)
 Nurse20 (27.8)
 Medical intern8 (11.1)
 Clinical assistant4 (5.6)
 Other2 (2.8)
 No direct patient contact28 (38.9)
 Researcher10 (13.9)
 Pharmacy staff/assistant5 (6.9)
 Laboratory technician2 (2.8)
 Other11 (15.3)
Comorbidities, N (%)
 High blood pressure3 (4.2)
 Diabetes1 (1.4)
 Cardiovascular disease1 (1.4)
 Asthma4 (5.6)
 Other4 (5.6)
Continued to work while having symptoms, N (%)
 Yesa15 (20.8)
 No knowledge of regulations0 (0.0)
 Mild symptoms12 (80.0)
 Devoted symptoms to another cause7 (40.0)
 Work pressure/sense of responsibility3 (20.0)
 No48 (66.7)
 Don't know3 (4.2)
 Unknown6 (8.3)

IQR, interquartile range.

Multiple answers were possible.

Descriptive statistics of the study cohort IQR, interquartile range. Multiple answers were possible.

Symptomatology

The median time between disease onset and time of initial RT-PCR was 1 day (range 1–7 days). The median duration of symptoms was 10 days (range 0–41 days). Symptoms decreased over time (Table II ). Fever and dyspnoea were not reported frequently. At disease onset, rhinitis, headache and fatigue were observed most frequently. Gastrointestinal symptoms were reported in a minority of HCWs. On day 21, 43% of HCWs still reported symptoms. Fatigue and anosmia or dysgeusia most frequently persisted by day 21. The majority (80.6%) of HCWs had a self-reported mild experience of COVID-19. No significant differences in symptomatology were found between repeat RT-PCR-positive and repeat RT-PCR-negative HCWs (data not shown).
Table II

Detailed symptomatology in healthcare workers with coronavirus disease 2019 confirmed by reverse transcriptase polymerase chain reaction

SymptomTime of interview
Disease onset (N=72)Day 2 (N=72)Day 7 (N=71)Day 14 (N=71)Day 21 (N=71)
Respiratory symptoms
 Coughing22 (30.6)39 (54.9)27 (38.0)12 (16.9)9 (12.7)
 Pharyngitis21 (29.2)19 (26.8)7 (9.9)6 (8.5)3 (4.2)
 Dyspnoea7 (9.7)11 (15.5)11 (15.5)5 (7.0)9 (12.7)
 Rhinitis30 (41.7)48 (67.6)29 (40.8)11 (15.5)8 (11.3)
Gastrointestinal symptoms
 Abdominal pain4 (5.6)7 (9.9)3 (4.2)2 (2.8)0 (0.0)
 Diarrhoea7 (9.7)8 (11.1)2 (2.8)1 (1.4)1 (1.4)
 Nausea3 (4.2)7 (9.9)2 (2.8)2 (2.8)3 (4.2)
 Vomiting1 (1.4)3 (4.2)0 (0.0)0 (0.0)0 (0.0)
 Anorexia12 (16.7)26 (36.6)20 (28.2)5 (7.0)4 (5.6)
Other symptoms
 Fever13 (18.1)18 (25.4)4 (5.6)1 (1.4)0 (0.0)
 Myalgia19 (26.4)23 (32.4)9 (12.7)3 (4.2)3 (4.2)
 Headache37 (51.4)39 (54.9)16 (22.5)12 (16.9)9 (12.7)
 Fatigue32 (44.4)49 (69.0)35 (49.3)22 (31.0)18 (25.4)
 Anosmia or dysgeusia13 (18.9)25 (35.2)36 (50.7)22 (31.0)17 (23.9)
No symptoms experienced0 (0.0)0 (0.0)15 (21.1)36 (50.7)40 (56.3)
Detailed symptomatology in healthcare workers with coronavirus disease 2019 confirmed by reverse transcriptase polymerase chain reaction

Virology

The median Ct value of the initial RT-PCR was 21.1 (IQR 18.0–26.0). Sixty-one (84.7%) participants had a repeat RT-PCR performed upon return to work, at a median of 13 days (range 6–42 days) after symptom onset. Thirty (49.1%) of them were positive, with a median Ct value of 29.2 (IQR 26.9–29.9). Eleven participants did not have a repeat RT-PCR performed. Twenty-two of the 30 repeat RT-PCR-positive participants (73.3%) had a repeat RT-PCR specimen with a Ct value <30 (corresponding to 36% of all HCWs for whom repeat RT-PCR results were available). Of these 22 participants, 11 SARS-CoV2 RNA-positive within-department contacts were identified as potential secondary transmissions. Specimens of these 11 within-department contacts were sequenced (Figure 1 ).
Figure 1

Maximum likelihood phylogeny of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) sequences with identified potential transmission clusters. A condensed maximum-likelihood phylogeny of SARS-CoV-2 sequences that were collected (marked with tip shapes) and a random sample of contemporaneous reference sequences (no tips) circulating within the Netherlands. Tip shapes are coloured according to the wards on which the healthcare workers (circle and square tips) and their within-department contacts (diamond tips) were working. The figure zooms in on two potential transmission clusters that were found.

Maximum likelihood phylogeny of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) sequences with identified potential transmission clusters. A condensed maximum-likelihood phylogeny of SARS-CoV-2 sequences that were collected (marked with tip shapes) and a random sample of contemporaneous reference sequences (no tips) circulating within the Netherlands. Tip shapes are coloured according to the wards on which the healthcare workers (circle and square tips) and their within-department contacts (diamond tips) were working. The figure zooms in on two potential transmission clusters that were found. Phylogenetic analysis revealed one pair of identical viral genomes of return-to-work and corresponding within-department contact, and one pair that differed by two single-nucleotide polymorphisms (SNPs). Contact tracing and epidemiological data of these two pairs showed no indications of onward transmission. Eight return-to-work and corresponding within-department contact pairs had pairwise genetic distances that were not compatible with direct transmission (minimal pairwise genetic distance of five SNPs).

Serology

All HCWs from whom serum was collected developed antibodies during the follow-up period (data not shown). Upon symptom resolution, antibodies were detected in 42 of 48 (87.5%) HCWs from whom serum was collected at this time point. At 16 weeks, antibodies were detected in 97.5% of HCWs. Two HCWs seroreverted (from positive to negative antibody status) during the follow-up period, within 8 weeks of disease onset. No significant difference in the presence of antibodies was found between repeat RT-PCR-positive and repeat RT-PCR-negative HCWs.

Discussion

HCWs are at increased risk for SARS-CoV-2 infection and onward transmission to colleagues and patients. Guidelines are inconsistent on the timing for SARS-CoV-2-positive HCWs to return to work. This study investigated symptoms, repeated RT-PCR, risk of transmission and antibody dynamics in HCWs when returning to work. A generally mild course of COVID-19 was found, and despite high SARS-CoV-2 RNA viral loads, no evidence for transmission from returning HCWs upon resolution of symptoms was identified. Surprisingly, almost 50% of repeat RT-PCR assays when returning to work were positive, with Ct values suggesting the possibility of replicating virus. This study showed RT-PCR positivity up to 38 days after symptom onset, which is in line with the now well-established experience that RNA may be detected for longer periods after SARS-CoV-2 infection [[9], [10], [11]]. Relatively high viral loads (Ct values <30) were found in 36% of HCWs upon return to work in this study, raising the question of whether the study hospital guidelines are sufficiently stringent to prevent nosocomial transmission, especially as national and international guidelines generally recommend a longer duration of isolation after COVID-19 in HCWs [[4], [5], [6], [7]]. Ct values were used as a surrogate marker for infectivity in accordance with previous studies, as they correlate well with the ability to culture (viable) virus; a cut-off value of 30 is associated with inability to culture virus [19,20]. Viral sequencing was performed to investigate whether onward transmission occurred by HCWs who returned to work. Phylogenetic analysis showed one pair of identical viral sequences of a return-to-work study participant and within-department contact, and one pair that differed by two SNPs. For the pair with identical sequences, the probability of direct transmission was deemed negligible after assessment of the contact tracing data, as the index HCW worked from home for 1 month after his infection and there was no contact with other HCWs at that time. Epidemiological assessment of the pair differing by two SNPs suggested that direct transmission was unlikely, as the return-to-work HCW remained home for 14 days after symptom onset, had no symptoms on return to work, and the HCWs did not know each other. Thus, despite the high numbers of positive specimens with theoretically viable virus in this study, no evidence was found for onward transmission at work from returning HCWs upon resolution of symptoms. However, the possibility of HCW-to-HCW transmission cannot be ruled out completely, as onward transmission may have occurred in this study but remained undiagnosed in asymptomatic individuals. A possible explanation for the identical viral genomes found in one return-to-work and corresponding within-department contact pair may be exposure to comparable genomes circulating in the Netherlands at that time [as evidenced by identical genomes detected in contemporaneous SARS-CoV-2 viral genomes from the Netherlands (Table S1, see online supplementary material)]. Although direct transmission could not definitely be ruled out for one pair in this study, a symptom-based strategy for determining when HCWs with SARS-CoV-2 infection could return to work as in the current hospital guidelines are considered adequate and safe. Nevertheless, as this study was performed before emergence of the Alpha variant, the emergence of new circulating variants associated with higher transmissibility [21,22] may require re-evaluation of guidelines. Moreover, as study participation was on a voluntary basis, the included HCWs may have been more compliant with social distancing rules and personal protection guidelines. This could explain, in part, the absence of documented transmission by HCWs after returning to work. Infection prevention measures such as physical distancing, personal protective equipment and vaccination should remain a priority for SARS-CoV-2 in-hospital infection control, as there is evidence that HCW-to-HCW transmission is an important route of nosocomial infection [[22], [23], [24], [25]], and transmissions generally occur before a HCW tests positive. Despite low symptomatology, all HCWs in this cohort seroconverted. Comparable prospective studies showed similar but somewhat lower rates, possibly due to a shorter follow-up period [26,27] or because immunoglobulin G alone was measured [28]. Further research is needed to determine long-term protection, and protection against new variants. The presence of antibodies did not seem to be associated with repeat RT-PCR positivity, indicating that even mild infections with faster viral clearance result in an antibody response. The majority of participants (87.5%) had already developed antibodies when returning to work, which further reduces the assumed risk of transmission at this time point given the negative correlation with SARS-CoV-2-specific antibodies and the presence of infectious virus [14,15]. The main limitation of this study is that infectivity of the HCWs when returning to work could not be determined. In addition, the small sample size of this study, especially the limited number of HCWs returning to work with high viral loads, may have influenced the conclusions about the risk of transmission. However, extensive phylogenetic as well as background analyses in combination with contact tracing data showed no evidence for direct transmission. A strength of this study is that it was conducted prospectively in confirmed SARS-CoV-2-positive HCWs. Most studies in HCWs are retrospective seroprevalence studies in which it is impossible to evaluate symptomatology accurately, or determine the antibody responses in this specific population. Furthermore, all analyses were performed in the same laboratory, making it possible to compare Ct values between participants. To conclude, this study found relatively high viral loads in SARS-CoV-2-positive HCWs when returning to work after symptom resolution. As no evidence for secondary HCW-to-HCW transmission after returning to work was found, a symptom-based approach appears to be adequate for the prevention of SARS-CoV-2 infection from returning HCWs. As HCW-to-HCW transmission is a common source of nosocomial SARS-CoV-2 infection, infection prevention measures and guideline adherence should remain priorities when shaping future hospital policy and practice.
  22 in total

1.  Predicting Infectious Severe Acute Respiratory Syndrome Coronavirus 2 From Diagnostic Samples.

Authors:  Jared Bullard; Kerry Dust; Duane Funk; James E Strong; David Alexander; Lauren Garnett; Carl Boodman; Alexander Bello; Adam Hedley; Zachary Schiffman; Kaylie Doan; Nathalie Bastien; Yan Li; Paul G Van Caeseele; Guillaume Poliquin
Journal:  Clin Infect Dis       Date:  2020-12-17       Impact factor: 9.079

2.  SARS-CoV-2 spike D614G change enhances replication and transmission.

Authors:  Bin Zhou; Tran Thi Nhu Thao; Donata Hoffmann; Adriano Taddeo; Nadine Ebert; Fabien Labroussaa; Anne Pohlmann; Jacqueline King; Silvio Steiner; Jenna N Kelly; Jasmine Portmann; Nico Joel Halwe; Lorenz Ulrich; Bettina Salome Trüeb; Xiaoyu Fan; Bernd Hoffmann; Li Wang; Lisa Thomann; Xudong Lin; Hanspeter Stalder; Berta Pozzi; Simone de Brot; Nannan Jiang; Dan Cui; Jaber Hossain; Malania M Wilson; Matthew W Keller; Thomas J Stark; John R Barnes; Ronald Dijkman; Joerg Jores; Charaf Benarafa; David E Wentworth; Volker Thiel; Martin Beer
Journal:  Nature       Date:  2021-02-26       Impact factor: 49.962

3.  SARS-CoV-2 detection, viral load and infectivity over the course of an infection.

Authors:  Kieran A Walsh; Karen Jordan; Barbara Clyne; Daniela Rohde; Linda Drummond; Paula Byrne; Susan Ahern; Paul G Carty; Kirsty K O'Brien; Eamon O'Murchu; Michelle O'Neill; Susan M Smith; Máirín Ryan; Patricia Harrington
Journal:  J Infect       Date:  2020-06-29       Impact factor: 6.072

4.  Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR.

Authors:  Victor M Corman; Olfert Landt; Marco Kaiser; Richard Molenkamp; Adam Meijer; Daniel Kw Chu; Tobias Bleicker; Sebastian Brünink; Julia Schneider; Marie Luisa Schmidt; Daphne Gjc Mulders; Bart L Haagmans; Bas van der Veer; Sharon van den Brink; Lisa Wijsman; Gabriel Goderski; Jean-Louis Romette; Joanna Ellis; Maria Zambon; Malik Peiris; Herman Goossens; Chantal Reusken; Marion Pg Koopmans; Christian Drosten
Journal:  Euro Surveill       Date:  2020-01

5.  Duration and key determinants of infectious virus shedding in hospitalized patients with coronavirus disease-2019 (COVID-19).

Authors:  Jeroen J A van Kampen; David A M C van de Vijver; Pieter L A Fraaij; Bart L Haagmans; Mart M Lamers; Nisreen Okba; Johannes P C van den Akker; Henrik Endeman; Diederik A M P J Gommers; Jan J Cornelissen; Rogier A S Hoek; Menno M van der Eerden; Dennis A Hesselink; Herold J Metselaar; Annelies Verbon; Jurriaan E M de Steenwinkel; Georgina I Aron; Eric C M van Gorp; Sander van Boheemen; Jolanda C Voermans; Charles A B Boucher; Richard Molenkamp; Marion P G Koopmans; Corine Geurtsvankessel; Annemiek A van der Eijk
Journal:  Nat Commun       Date:  2021-01-11       Impact factor: 14.919

6.  Clinical Evaluation of Roche SD Biosensor Rapid Antigen Test for SARS-CoV-2 in Municipal Health Service Testing Site, the Netherlands.

Authors:  Zsὁfia Iglὁi; Jans Velzing; Janko van Beek; David van de Vijver; Georgina Aron; Roel Ensing; Kimberley Benschop; Wanda Han; Timo Boelsums; Marion Koopmans; Corine Geurtsvankessel; Richard Molenkamp
Journal:  Emerg Infect Dis       Date:  2021-03-16       Impact factor: 6.883

7.  SARS-Coronavirus-2 cases in healthcare workers may not regularly originate from patient care: lessons from a university hospital on the underestimated risk of healthcare worker to healthcare worker transmission.

Authors:  Sandra Schneider; Brar Piening; Pauline Assina Nouri-Pasovsky; Anne Caroline Krüger; Petra Gastmeier; Seven Johannes Sam Aghdassi
Journal:  Antimicrob Resist Infect Control       Date:  2020-12-07       Impact factor: 4.887

8.  Serologic responses to SARS-CoV-2 infection among hospital staff with mild disease in eastern France.

Authors:  Samira Fafi-Kremer; Timothée Bruel; Yoann Madec; Rebecca Grant; Laura Tondeur; Ludivine Grzelak; Isabelle Staropoli; François Anna; Philippe Souque; Sandrine Fernandes-Pellerin; Nathalie Jolly; Charlotte Renaudat; Marie-Noëlle Ungeheuer; Catherine Schmidt-Mutter; Nicolas Collongues; Alexandre Bolle; Aurélie Velay; Nicolas Lefebvre; Marie Mielcarek; Nicolas Meyer; David Rey; Pierre Charneau; Bruno Hoen; Jérôme De Seze; Olivier Schwartz; Arnaud Fontanet
Journal:  EBioMedicine       Date:  2020-07-31       Impact factor: 8.143

9.  Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study.

Authors:  Long H Nguyen; David A Drew; Mark S Graham; Amit D Joshi; Chuan-Guo Guo; Wenjie Ma; Raaj S Mehta; Erica T Warner; Daniel R Sikavi; Chun-Han Lo; Sohee Kwon; Mingyang Song; Lorelei A Mucci; Meir J Stampfer; Walter C Willett; A Heather Eliassen; Jaime E Hart; Jorge E Chavarro; Janet W Rich-Edwards; Richard Davies; Joan Capdevila; Karla A Lee; Mary Ni Lochlainn; Thomas Varsavsky; Carole H Sudre; M Jorge Cardoso; Jonathan Wolf; Tim D Spector; Sebastien Ourselin; Claire J Steves; Andrew T Chan
Journal:  Lancet Public Health       Date:  2020-07-31
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.