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      COVID-19 infection among healthcare workers: a cross-sectional study in southwest Iran

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          Abstract

          Objective

          With the novel coronavirus pandemic, the impact on the healthcare system and workers cannot be overlooked. However, studies on the infection status of medical personnel are still lacking. It is imperative to ensure the safety of health-care workers (HCWs) not only to safeguard continuous patient care but also to ensure they do not transmit the virus, therefore evaluation of infection rates in these groups are indicated.

          Methods

          Demographic and clinical data regarding infected cases among HCWs of Fars, Iran with positive SARS‐CoV‐2 PCR tests were obtained from 10th March to 17th May 2020.

          Results

          Our data demonstrated a rate of 5.62% (273 out of 4854 cases) infection among HCW, with a mean age of 35 years and a dominance of female cases (146 cases: 53.5%). The majority of infected cases were among nurses (51.3%), while the most case infection rate (CIR) was among physicians (27 positive cases out of 842 performed test (3.2%)). Also, the highest rate of infection was in the emergency rooms (30.6%). Also, 35.5% of the patients were asymptomatic and the most frequent clinical features among symptomatic patients were myalgia (46%) and cough (45.5%). Although 5.5% were admitted to hospitals, there were no reports of ICU admission. Furthermore, 10.3% of the cases reported transmitting the infection to family and friends. Regarding safety precautions, 1.6% didn't wear masks and 18.7% didn't use gloves in work environments.

          Conclusion

          HCWs are among the highest groups at risk of infection during the COVID-19 pandemic; therefore, evaluating infection rates and associated features is necessary to improve and adjust protective measures of these vulnerable, yet highly essential group.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12985-021-01532-0.

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          Most cited references14

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          Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

          In December 2019, novel coronavirus (2019-nCoV)-infected pneumonia (NCIP) occurred in Wuhan, China. The number of cases has increased rapidly but information on the clinical characteristics of affected patients is limited.
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            Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

            Background The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while there is growing evidence that the outbreak is more widespread than initially thought, and international spread through travellers does already occur. Aim We aimed to develop and deploy robust diagnostic methodology for use in public health laboratory settings without having virus material available. Methods Here we present a validated diagnostic workflow for 2019-nCoV, its design relying on close genetic relatedness of 2019-nCoV with SARS coronavirus, making use of synthetic nucleic acid technology. Results The workflow reliably detects 2019-nCoV, and further discriminates 2019-nCoV from SARS-CoV. Through coordination between academic and public laboratories, we confirmed assay exclusivity based on 297 original clinical specimens containing a full spectrum of human respiratory viruses. Control material is made available through European Virus Archive – Global (EVAg), a European Union infrastructure project. Conclusion The present study demonstrates the enormous response capacity achieved through coordination of academic and public laboratories in national and European research networks.
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              Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

              Background Chest CT is used for diagnosis of 2019 novel coronavirus disease (COVID-19), as an important complement to the reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate the diagnostic value and consistency of chest CT as compared with comparison to RT-PCR assay in COVID-19. Methods From January 6 to February 6, 2020, 1014 patients in Wuhan, China who underwent both chest CT and RT-PCR tests were included. With RT-PCR as reference standard, the performance of chest CT in diagnosing COVID-19 was assessed. Besides, for patients with multiple RT-PCR assays, the dynamic conversion of RT-PCR results (negative to positive, positive to negative, respectively) was analyzed as compared with serial chest CT scans for those with time-interval of 4 days or more. Results Of 1014 patients, 59% (601/1014) had positive RT-PCR results, and 88% (888/1014) had positive chest CT scans. The sensitivity of chest CT in suggesting COVID-19 was 97% (95%CI, 95-98%, 580/601 patients) based on positive RT-PCR results. In patients with negative RT-PCR results, 75% (308/413) had positive chest CT findings; of 308, 48% were considered as highly likely cases, with 33% as probable cases. By analysis of serial RT-PCR assays and CT scans, the mean interval time between the initial negative to positive RT-PCR results was 5.1 ± 1.5 days; the initial positive to subsequent negative RT-PCR result was 6.9 ± 2.3 days). 60% to 93% of cases had initial positive CT consistent with COVID-19 prior (or parallel) to the initial positive RT-PCR results. 42% (24/57) cases showed improvement in follow-up chest CT scans before the RT-PCR results turning negative. Conclusion Chest CT has a high sensitivity for diagnosis of COVID-19. Chest CT may be considered as a primary tool for the current COVID-19 detection in epidemic areas. A translation of this abstract in Farsi is available in the supplement. - ترجمه چکیده این مقاله به فارسی، در ضمیمه موجود است.
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                Author and article information

                Contributors
                r.shahriari1995@gmail.com
                Journal
                Virol J
                Virol J
                Virology Journal
                BioMed Central (London )
                1743-422X
                17 March 2021
                17 March 2021
                2021
                : 18
                : 58
                Affiliations
                [1 ]GRID grid.412571.4, ISNI 0000 0000 8819 4698, Trauma Research Center, , Shiraz University of Medical Sciences, ; Shiraz, Iran
                [2 ]GRID grid.412571.4, ISNI 0000 0000 8819 4698, Clinical Microbiology Research Center, , Shiraz University of Medical Sciences, ; Shiraz, Iran
                [3 ]GRID grid.412571.4, ISNI 0000 0000 8819 4698, Vice Chancellor for Health Affairs Center of Disease Control (CDC), , Shiraz University of Medical Sciences, ; Shiraz, Iran
                [4 ]GRID grid.412571.4, ISNI 0000 0000 8819 4698, Student Research Committee, , Shiraz University of Medical Sciences, ; Shiraz, Iran
                [5 ]GRID grid.412571.4, ISNI 0000 0000 8819 4698, Thoracic and Vascular Surgery Research Center, , Shiraz University of Medical Sciences, ; Shiraz, Iran
                [6 ]GRID grid.412571.4, ISNI 0000 0000 8819 4698, Department of Internal Medicine, Nemazee Hospital, , Shiraz University of Medical Sciences, ; Shiraz, Iran
                [7 ]GRID grid.412571.4, ISNI 0000 0000 8819 4698, Anesthesiology and Critical Care Research Center, , Shiraz University of Medical Sciences, ; Shiraz, Iran
                Author information
                http://orcid.org/0000-0001-5454-495X
                Article
                1532
                10.1186/s12985-021-01532-0
                7968574
                33731169
                d386a3a0-dbd1-4073-90e9-4b352d57ec8a
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 30 July 2020
                : 9 March 2021
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Microbiology & Virology
                healthcare workers,covid-19,iran
                Microbiology & Virology
                healthcare workers, covid-19, iran

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