Nonsystematic Reporting Biases of the SARS-CoV-2 Variant Mu Could Impact Our Understanding of the Epidemiological Dynamics of Emerging Variants
Open Access
- 28 March 2023
- journal article
- research article
- Published by Oxford University Press (OUP) in Genome Biology and Evolution
- Vol. 15 (4)
- https://doi.org/10.1093/gbe/evad052
Abstract
Developing a timely and effective response to emerging SARS-CoV-2 variants of concern (VOCs) is of paramount public health importance. Global health surveillance does not rely on genomic data alone to identify concerning variants when they emerge. Instead, methods that utilize genomic data to estimate the epidemiological dynamics of emerging lineages have the potential to serve as an early warning system. However, these methods assume that genomic data are uniformly reported across circulating lineages. In this study, we analyze differences in reporting delays among SARS-CoV-2 VOCs as a plausible explanation for the timing of the global response to the former VOC Mu. Mu likely emerged in South America in mid-2020, where its circulation was largely confined. In this study, we demonstrate that Mu was designated as a VOC ∼1 year after it emerged and find that the reporting of genomic data for Mu differed significantly than that of other VOCs within countries, states, and individual laboratories. Our findings suggest that nonsystematic biases in the reporting of genomic data may have delayed the global response to Mu. Until they are resolved, the surveillance gaps that affected the global response to Mu could impede the rapid and accurate assessment of future emerging variants.This publication has 27 references indexed in Scilit:
- Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) VariantThe New England Journal of Medicine, 2021
- A cluster of the new SARS‐CoV‐2 B.1.621 lineage in Italy and sensitivity of the viral isolate to the BNT162b2 vaccineJournal of Medical Virology, 2021
- Why some researchers oppose unrestricted sharing of coronavirus genome dataNature, 2021
- Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in EnglandScience, 2021
- Reduced neutralization of SARS-CoV-2 B.1.1.7 variant by convalescent and vaccine seraCell, 2021
- Sensitivity of infectious SARS-CoV-2 B.1.1.7 and B.1.351 variants to neutralizing antibodiesNature Medicine, 2021
- Antibody resistance of SARS-CoV-2 variants B.1.351 and B.1.1.7Nature, 2021
- A Phylodynamic Workflow to Rapidly Gain Insights into the Dispersal History and Dynamics of SARS-CoV-2 LineagesMolecular Biology and Evolution, 2020
- Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10Virus Evolution, 2018
- TreeTime: Maximum-likelihood phylodynamic analysisVirus Evolution, 2018