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Cumulative incidence of SARS-CoV-2 and associated risk factors among healthcare workers in the Eastern Cape, South Africa
David F. Stead; Oladele Vincent Adeniyi; Mandisa Singata-Madliki; Shareef Abrahams; Joanne Batting; Eloise Jelliman; Andrew G. Parrish.
Affiliation
  • David F. Stead; Frere Hospital; Walter Sisulu University
  • Oladele Vincent Adeniyi; Cecilia Makiwane hospital; Walter Sisulu University
  • Mandisa Singata-Madliki; University of Fort Hare
  • Shareef Abrahams; National Health Laboratory Service
  • Joanne Batting; University of Fort Hare
  • Eloise Jelliman; Frere Hospital
  • Andrew G. Parrish; Frere Hospital; Walter Sisulu University
Preprint in English | medRxiv | ID: ppmedrxiv-21265966
ABSTRACT
ObjectivesThis study assesses the cumulative incidence of SARS-CoV-2 infection among healthcare workers (HCWs) during South Africas first wave and examines the associated demographic, health-related, and occupational risk factors for infection. MethodsMulti-stage cluster sampling was used in a cross-sectional study to recruit 1,309 HCWs from two academic hospitals in the Eastern Cape, South Africa over six weeks in November and December 2020. Prior test results for SARS-CoV-2 polymerase chain reaction (PCR) and participants characteristics were recorded while a blood sample was drawn for detection of IgG antibodies against SARS-CoV-2 nucleocapsid protein. The primary outcome measure was the SARS-CoV-2 cumulative incidence rate, defined as the combined total of positive results for either PCR or IgG antibodies, divided by the total sample. The secondary outcome was significant risk factors associated with infection. ResultsOf the total participants included in the analysis (N=1295), the majority were female (81.5%), of black race (78.7%) and nurses (44.8%). A total of 390 (30.1%) HCWs had a positive SARS-CoV-2 PCR result and SARS-CoV-2 antibodies were detected in 488 (37.7%), yielding a cumulative incidence of 47.2% (n = 611). In the adjusted logistic regression model, being overweight (Adjusted odds ratio (AOR) = 2.15, 95% CI 1.44-3.20), obese (AOR = 1.37, 95% CI 1.02-1.85) and living with HIV (AOR = 1.78, 95% CI 1.38-were independently associated with SARS-CoV-2 infection. There was no significant difference in infection rates between high, medium and low COVID-19 exposure working environments. ConclusionsThe high SARS-CoV-2 cumulative incidence in the cohort was surprising this early in the epidemic and probably related to exposure both in and outside the hospitals. To mitigate the impact of SARS-CoV-2 among HCWs, infection prevention and control (IPC) strategies should target community transmission in addition to screening for HIV and metabolic conditions. Strengths and limitations of this studyO_LIThis is a large representative sample of the total workforce of the two hospitals, with a good spectrum of staff category. C_LIO_LICombining the historical SARS-CoV-2 PCR results with the Nucleocapsid IgG enabled capturing of some of the asymptomatic and missed SARS-CoV-2 infections. C_LIO_LIThis is one of the first studies to look at SARS-CoV-2 infection risk factors in a high exposure environment in Africa. C_LIO_LIA limitation is that HIV ELISA and CD4 counts were not tested, but relied on self-report, which may likely underestimate the burden of HIV in the cohort. C_LI
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Diagnostic study / Observational study / Prognostic study / Rct Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Diagnostic study / Observational study / Prognostic study / Rct Language: English Year: 2021 Document type: Preprint
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