1
|
Tang L, Wang Y, Li X, Yang L, Luo Y, Li C, He Y. Epidemiological characteristics of first-time SARS-CoV-2 Omicron infection among hospital staff in Chengdu, China. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2024; 43:104. [PMID: 38978145 PMCID: PMC11232323 DOI: 10.1186/s41043-024-00595-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 06/28/2024] [Indexed: 07/10/2024]
Abstract
BACKGROUND After China ended its 'dynamic zero-COVID policy' on 7 December 2022, a large-scale outbreak of SARS-CoV-2 Omicron infections emerged across the country. We conducted a hospital-wide prospective study to document the epidemiological characteristics of the outbreak among healthcare workers in a hospital of Chengdu, where no previous staff SARS-CoV-2 infections were detected. METHODS All hospital staff members were invited to complete an online questionnaire on COVID-19 in January 2023, and SARS-CoV-2 infection cases were followed up by telephone in June 2023 to collect data on long COVID. Univariable and multivariable logistic regression analyses were performed to evaluate factors associated with SARS-CoV-2 infection. RESULTS A total of 2,899 hospital staff (93.5%) completed the online questionnaire, and 86.4% were infected with SARS-CoV-2 Omicron. The clinical manifestations of these patients were characterized by a high incidence of systemic symptoms. Cough (83.4%), fatigue (79.8%) and fever (74.3%) were the most frequently reported symptoms. Multivariable logistic analysis revealed that females [adjusted odds ratio (aOR): 1.42, 95% confidence interval (CI): 1.07-1.88] and clinical practitioners (aOR: 10.32, 95% CI: 6.57-16.20) were associated with an increased risk of SARS-CoV-2 infection, whereas advanced age ≥ 60 years (aOR: 0.30, 95% CI: 0.19-0.49) and a three-dose COVID-19 vaccination with the most recent dose administered within 3 months before 7 December 2022 (aOR: 0.44, 95% CI: 0.23-0.87 for within 1 month; aOR: 0.46, 95% CI: 0.22-0.97 for within 1-3 months) were associated with reduced risk. Among the cases, 4.27% experienced long COVID of fatigue, brain fog or both, with the majority reporting minor symptoms. CONCLUSION Our findings provide a snapshot of the epidemiological situation of SARS-CoV-2 infection among healthcare workers in Chengdu after China's deregulation of COVID-19 control. Data in the study can aid in the development and implementation of effective measures to protect healthcare workers and maintain the integrity of healthcare systems during challenging times such as a rapid and widespread Omicron outbreak.
Collapse
Affiliation(s)
- Li Tang
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Yeyuan Wang
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Xue Li
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Liu Yang
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Yingjuan Luo
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Chunrong Li
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Yulei He
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 611731, China.
| |
Collapse
|
2
|
Adeniyi OV, Masilela C, George JA. Prevalence of vitamin D deficiency and its association with cardiometabolic risk factors among healthcare workers in the Eastern Cape province, South Africa; cross-sectional study. Sci Rep 2024; 14:4756. [PMID: 38413628 PMCID: PMC10899187 DOI: 10.1038/s41598-024-54977-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 02/19/2024] [Indexed: 02/29/2024] Open
Abstract
This study assesses the prevalence of Vitamin D deficiency and its potential association with cardiometabolic risk factors among South African adults residing in the Eastern Cape province. In this cross-sectional study, 1244 healthcare workers (HCWs) completed a self-administered questionnaire and venous blood samples were drawn at two academic hospitals in the Eastern Cape. History of hypertension and diabetes mellitus were self-reported. Participants were categorised as obese if their body mass index (BMI) ≥ 30 kg/m2. Participants were classified as having metabolic syndrome if they had hypertension, diabetes mellitus and obesity. Vitamin D [25(OH)D] deficiency was defined as venous blood concentrations < 50 nmol/L. Associations between vitamin D deficiency and participants' characteristics were assessed using multivariate logistic regression model analysis. The prevalence of vitamin D deficiency was 28.5% (n = 355), of whom 292 were female. Among the participants who were deficient in vitamin D, the prevalence of obesity, diabetes mellitus, hypertension, chronic kidney disease, and metabolic syndrome was 64.9% (n = 230), 9% (n = 32), 16.6% (n = 59), 2.3% (n = 8) and 18% (n = 64), respectively. In the adjusted multivariate logistic regression model, black Africans (AOR = 2.87; 95% CI 1.52-5.43) and individuals ≥ 42 years (AOR = 1.37; 95% CI 1.07-1.77) were more likely to exhibit vitamin D deficiency. However, there was no significant association by age, sex, and cardiometabolic markers. More than one in four healthcare workers was deficient in vitamin D among the study sample, especially the black Africans and older individuals. Further studies are needed at the population level to elucidate on the vitamin D status in the region.
Collapse
Affiliation(s)
| | - Charity Masilela
- Department of Biochemistry and Microbiology, University of Zululand, KwaDlangezwa, South Africa
| | - Jaya A George
- Department of Chemical Pathology, National Health Laboratory Service and University of the Witwatersrand, Parktown, Johannesburg, South Africa
| |
Collapse
|
3
|
Adeniyi OV, Durojaiye OC, Masilela C. Persistence of SARS-CoV-2 IgG Antibody Response among South African Adults: A Prospective Cohort Study. Vaccines (Basel) 2023; 11:1068. [PMID: 37376457 PMCID: PMC10302206 DOI: 10.3390/vaccines11061068] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 05/27/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
This study assesses the durability of severe acute respiratory coronavirus-2 (SARS-CoV-2) anti-nucleocapsid (anti-N) immunoglobulin G (IgG) after infection and examines its association with established risk factors among South African healthcare workers (HCWs). Blood samples were obtained from 390 HCWs with diagnosis of coronavirus disease 2019 (COVID-19) for assay of the SARS-CoV-2 anti-N IgG at two time points (Phase 1 and 2) between November 2020 and February 2021. Out of 390 HCWs with a COVID-19 diagnosis, 267 (68.5%) had detectable SARS-CoV-2 anti-N IgG antibodies at the end of Phase I. These antibodies persisted for 4-5 and 6-7 months in 76.4% and 16.1%, respectively. In the multivariate logistic regression model analysis, Black participants were more likely to sustain SARS-CoV-2 anti-N IgG for 4-5 months. However, participants who were HIV positive were less likely to sustain SARS-CoV-2 anti-N IgG antibodies for 4-5 months. In addition, individuals who were <45 years of age were more likely to sustain SARS-CoV-2 anti-N IgG for 6-7 months. Of the 202 HCWs selected for Phase 2, 116 participants (57.4%) had persistent SARS-CoV-2 anti-N IgG for an extended mean period of 223 days (7.5 months). Findings support the longevity of vaccine responses against SARS-CoV-2 in Black Africans.
Collapse
Affiliation(s)
- Oladele Vincent Adeniyi
- Department of Family Medicine, Cecilia Makiwane Hospital/Walter Sisulu University, East London 5200, South Africa
| | - Oyewole Christopher Durojaiye
- Department of Infection and Tropical Medicine, Royal Hallamshire Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK;
| | - Charity Masilela
- Department of Biochemistry, North-West University, Mahikeng 2745, South Africa;
| |
Collapse
|
4
|
Irizar P, Pan D, Kapadia D, Bécares L, Sze S, Taylor H, Amele S, Kibuchi E, Divall P, Gray LJ, Nellums LB, Katikireddi SV, Pareek M. Ethnic inequalities in COVID-19 infection, hospitalisation, intensive care admission, and death: a global systematic review and meta-analysis of over 200 million study participants. EClinicalMedicine 2023; 57:101877. [PMID: 36969795 PMCID: PMC9986034 DOI: 10.1016/j.eclinm.2023.101877] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 02/02/2023] [Accepted: 02/02/2023] [Indexed: 03/08/2023] Open
Abstract
Background COVID-19 has exacerbated existing ethnic inequalities in health. Little is known about whether inequalities in severe disease and deaths, observed globally among minoritised ethnic groups, relates to greater infection risk, poorer prognosis, or both. We analysed global data on COVID-19 clinical outcomes examining inequalities between people from minoritised ethnic groups compared to the ethnic majority group. Methods Databases (MEDLINE, EMBASE, EMCARE, CINAHL, Cochrane Library) were searched from 1st December 2019 to 3rd October 2022, for studies reporting original clinical data for COVID-19 outcomes disaggregated by ethnicity: infection, hospitalisation, intensive care unit (ICU) admission, and mortality. We assessed inequalities in incidence and prognosis using random-effects meta-analyses, with Grading of Recommendations Assessment, Development, and Evaluation (GRADE) use to assess certainty of findings. Meta-regressions explored the impact of region and time-frame (vaccine roll-out) on heterogeneity. PROSPERO: CRD42021284981. Findings 77 studies comprising over 200,000,000 participants were included. Compared with White majority populations, we observed an increased risk of testing positive for infection for people from Black (adjusted Risk Ratio [aRR]:1.78, 95% CI:1.59-1.99, I2 = 99.1), South Asian (aRR:3.00, 95% CI:1.59-5.66, I2 = 99.1), Mixed (aRR:1.64, 95% CI:1.02-1.67, I2 = 93.2) and Other ethnic groups (aRR:1.36, 95% CI:1.01-1.82, I2 = 85.6). Black, Hispanic, and South Asian people were more likely to be seropositive. Among population-based studies, Black and Hispanic ethnic groups and Indigenous peoples had an increased risk of hospitalisation; Black, Hispanic, South Asian, East Asian and Mixed ethnic groups and Indigenous peoples had an increased risk of ICU admission. Mortality risk was increased for Hispanic, Mixed, and Indigenous groups. Smaller differences were seen for prognosis following infection. Following hospitalisation, South Asian, East Asian, Black and Mixed ethnic groups had an increased risk of ICU admission, and mortality risk was greater in Mixed ethnic groups. Certainty of evidence ranged from very low to moderate. Interpretation Our study suggests that systematic ethnic inequalities in COVID-19 health outcomes exist, with large differences in exposure risk and some differences in prognosis following hospitalisation. Response and recovery interventions must focus on tackling drivers of ethnic inequalities which increase exposure risk and vulnerabilities to severe disease, including structural racism and racial discrimination. Funding ESRC:ES/W000849/1.
Collapse
Affiliation(s)
- Patricia Irizar
- School of Social Sciences, University of Manchester, United Kingdom
| | - Daniel Pan
- Department of Respiratory Sciences, University of Leicester, United Kingdom
- Department of Infection and HIV Medicine, University Hospitals Leicester NHS Trust, United Kingdom
- Li Ka Shing Centre for Health Information and Discovery, Oxford Big Data Institute, University of Oxford, United Kingdom
- NIHR Leicester Biomedical Research Centre, United Kingdom
| | - Dharmi Kapadia
- School of Social Sciences, University of Manchester, United Kingdom
| | - Laia Bécares
- Department of Global Health and Social Medicine, King's College London, United Kingdom
| | - Shirley Sze
- Department of Cardiovascular Sciences, University of Leicester, United Kingdom
| | - Harry Taylor
- School of Social Sciences, University of Manchester, United Kingdom
| | - Sarah Amele
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, United Kingdom
| | - Eliud Kibuchi
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, United Kingdom
| | - Pip Divall
- University Hospitals of Leicester, Education Centre Library, Glenfield Hospital and Leicester Royal Infirmary, United Kingdom
| | - Laura J Gray
- Department of Health Sciences, University of Leicester, United Kingdom
| | - Laura B Nellums
- Division of Epidemiology and Public Health, School of Medicine, University of Nottingham, United Kingdom
| | | | - Manish Pareek
- Department of Respiratory Sciences, University of Leicester, United Kingdom
- Department of Infection and HIV Medicine, University Hospitals Leicester NHS Trust, United Kingdom
- NIHR Leicester Biomedical Research Centre, United Kingdom
| |
Collapse
|
5
|
Cooper DJ, Lear S, Sithole N, Shaw A, Stark H, Ferris M, Bradley J, Maxwell P, Goodfellow I, Weekes MP, Seaman S, Baker S. Demographic, behavioural and occupational risk factors associated with SARS-CoV-2 infection in UK healthcare workers: a retrospective observational study. BMJ Open 2022; 12:e063159. [PMID: 36343994 PMCID: PMC9644078 DOI: 10.1136/bmjopen-2022-063159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE Healthcare workers (HCWs) are at higher risk of SARS-CoV-2 infection than the general population. This group is pivotal to healthcare system resilience during the COVID-19, and future, pandemics. We investigated demographic, social, behavioural and occupational risk factors for SARS-CoV-2 infection among HCWs. DESIGN/SETTING/PARTICIPANTS HCWs enrolled in a large-scale sero-epidemiological study at a UK university teaching hospital were sent questionnaires spanning a 5-month period from March to July 2020. In a retrospective observational cohort study, univariate logistic regression was used to assess factors associated with SARS-CoV-2 infection. A Least Absolute Shrinkage Selection Operator regression model was used to identify variables to include in a multivariate logistic regression model. RESULTS Among 2258 HCWs, highest ORs associated with SARS-CoV-2 antibody seropositivity on multivariate analysis were having a household member previously testing positive for SARS-CoV-2 antibodies (OR 6.94 (95% CI 4.15 to 11.6); p<0.0001) and being of black ethnicity (6.21 (95% CI 2.69 to 14.3); p<0.0001). Occupational factors associated with a higher risk of seropositivity included working as a physiotherapist (OR 2.78 (95% CI 1.21 to 6.36); p=0.015) and working predominantly in acute medicine (OR 2.72 (95% CI 1.57 to 4.69); p<0.0001) or medical subspecialties (not including infectious diseases) (OR 2.33 (95% CI 1.4 to 3.88); p=0.001). Reporting that adequate personal protective equipment (PPE) was 'rarely' available had an OR of 2.83 (95% CI 1.29 to 6.25; p=0.01). Reporting attending a handover where social distancing was not possible had an OR of 1.39 (95% CI 1.02 to 1.9; p=0.038). CONCLUSIONS The emergence of SARS-CoV-2 variants and potential vaccine escape continue to threaten stability of healthcare systems worldwide, and sustained vigilance against HCW infection remains a priority. Enhanced risk assessments should be considered for HCWs of black ethnicity, physiotherapists and those working in acute medicine or medical subspecialties. Workplace risk reduction measures include ongoing access to high-quality PPE and effective social distancing measures.
Collapse
Affiliation(s)
- Daniel James Cooper
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Cambridge University Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Sara Lear
- Cambridge University Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Nyarie Sithole
- Cambridge University Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Ashley Shaw
- Medical Director's Office, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Hannah Stark
- NIHR Bioresource, NIHR Cambridge Biomedical Research Centre, Cambridge, UK
| | - Mark Ferris
- Occupational Health, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - John Bradley
- Cambridge University Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Medicine, University of Cambridge, Cambridge, UK
| | - Patrick Maxwell
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Cambridge University Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Ian Goodfellow
- Department of Pathology, Division of Virology, University of Cambridge, Cambridge, UK
| | - Michael P Weekes
- Cambridge University Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK
| | - Shaun Seaman
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Stephen Baker
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge School of Clinical Medicine, Cambridge, UK
| |
Collapse
|
6
|
Valderrama-Beltrán SL, Cuervo-Rojas J, Ariza B, Cardozo C, Ángel J, Martinez-Vernaza S, Juliana Soto M, Arcila J, Salgado D, Rondón M, Cepeda M, Castellanos JC, Gómez-Restrepo C, Franco MA. Cumulative incidence, prevalence, seroconversion, and associated factors for SARS-CoV-2 infection among healthcare workers of a University Hospital in Bogotá, Colombia. PLoS One 2022; 17:e0274484. [PMID: 36121816 PMCID: PMC9484677 DOI: 10.1371/journal.pone.0274484] [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: 04/22/2022] [Accepted: 08/29/2022] [Indexed: 11/24/2022] Open
Abstract
This study aimed to determine the cumulative incidence, prevalence, and seroconversion of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its associated factors among healthcare workers (HCWs) of a University Hospital in Bogotá, Colombia. An ambispective cohort was established from March 2020 to February 2021. From November 2020 to February 2021, SARS-CoV-2 antibodies were measured on two occasions 14-90 days apart to determine seroprevalence and seroconversion. We used multivariate log-binomial regression to evaluate factors associated with SARS-CoV-2 infection. Among 2,597 HCWs, the cumulative incidence of infection was 35.7%, and seroprevalence was 21.5%. A reduced risk of infection was observed among those aged 35-44 and ≥45 years (adjusted relative risks [aRRs], 0.84 and 0.83, respectively), physicians (aRR, 0.77), those wearing N95 respirators (aRR, 0.82) and working remotely (aRR, 0.74). Being overweight (aRR, 1.18) or obese (aRR, 1.24); being a nurse or nurse assistant (aRR, 1.20); working in the emergency room (aRR, 1.45), general wards (aRR, 1.45), intensive care unit (aRR, 1.34), or COVID-19 areas (aRR, 1.17); and close contact with COVID-19 cases (aRR, 1.47) increased the risk of infection. The incidence of SARS-CoV-2 infection found in this study reflects the dynamics of the first year of the pandemic in Bogotá. A high burden of infection calls for strengthening prevention and screening measures for HCWs, focusing especially on those at high risk.
Collapse
Affiliation(s)
- Sandra Liliana Valderrama-Beltrán
- PhD Program in Clinical Epidemiology, Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
- Division of Infectious Diseases, Department of Internal Medicine, Faculty of Medicine, Pontificia Universidad Javeriana, Hospital Universitario San Ignacio Infectious Diseases Research Group, Bogotá, Colombia
| | - Juliana Cuervo-Rojas
- Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Beatriz Ariza
- Clinical Laboratory Science Research Group, Clinical Laboratory, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Claudia Cardozo
- Clinical Laboratory Science Research Group, Clinical Laboratory, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Juana Ángel
- Institute of Human Genetics, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Samuel Martinez-Vernaza
- Division of Infectious Diseases, Department of Internal Medicine, Faculty of Medicine, Pontificia Universidad Javeriana, Hospital Universitario San Ignacio Infectious Diseases Research Group, Bogotá, Colombia
| | - María Juliana Soto
- Division of Infectious Diseases, Department of Internal Medicine, Faculty of Medicine, Pontificia Universidad Javeriana, Hospital Universitario San Ignacio Infectious Diseases Research Group, Bogotá, Colombia
| | - Julieth Arcila
- Clinical Laboratory Science Research Group, Clinical Laboratory, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Diana Salgado
- Clinical Laboratory Science Research Group, Clinical Laboratory, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Martín Rondón
- Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Magda Cepeda
- Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| | - Julio Cesar Castellanos
- Faculty of Medicine, Pontificia Universidad Javeriana, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Carlos Gómez-Restrepo
- Faculty of Medicine, Pontificia Universidad Javeriana, Hospital Universitario San Ignacio, Bogotá, Colombia
| | - Manuel Antonio Franco
- Institute of Human Genetics, Faculty of Medicine, Pontificia Universidad Javeriana, Bogotá, Colombia
| |
Collapse
|