Estimation of shedding time in laboratory-confirmed COVID-19 cases in South Africa: a population-based record linkage study, March-December 2020
Date
2022
Authors
Tshabane, Carroll
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Abstract
Background
In South Africa, COVID-19 cases are notified through the NMCList platform while hospitalized cases are reported on the DATCOV platform. It is crucial to estimate the duration of SARSCoV-2 shedding to inform public health interventions. We aimed to estimate viral shedding time among laboratory-confirmed COVID-19 cases in South Africa.
Methods
We analyzed COVID-19 PCR results reported on the NMCList and DATCOV platforms from 5 March to 31 December 2020. We included cases with at least 2 consecutive positive PCR tests and a subsequent negative test. We performed multiple linear regression to determine the association between shedding time and predictor variables (age, sex, admission status and province). A p-value below 0.05 was considered to be statistically significant.
Results
We included 2752 cases that met the inclusion criteria. About 39.9% (1099/2752) of participants were inpatients and 60.1% (1653/2752) were outpatients. The median shedding time was 17 days (range: 1–128). There was no significant difference in shedding time between males (median:16 days, range:1-128) and females (median:17 days, range:1–94) and between hospitalized patients (median: 16 days, range 1–108) and outpatients (median:17 days, range:1–128). Individuals aged 0-4 years had the lowest shedding time (median:14 days, range:1–72). After adjusting for age, sex and province, shedding time was shorter for hospitalized patients compared to outpatients (coefficient: -0.14, CI: -0.24 ─ -0.03, P-value: 0.014).
Conclusion
Shedding time differs between hospitalized and outpatients. Further studies are required toexplore the association between comorbidities and SARS-CoV-2 shedding time.
Description
A research report submitted in partial fulfilment of the requirements for the degree of Master of Science in Epidemiology to the Faculty of Health Sciences, School of Public Health, University of Witwatersrand, Johannesburg, 2022