Towards the development of a SARS-CoV-2 variant risk assessment tool: expert consultation on the assessment of scientific evidence on emerging variants

Nathalie Worp, Lorenzo Subissi, Mark D. Perkins, Maria D. Van Kerkhove, Anurag Agrawal, Meera Chand, Janko van Beek, Bas B. Oude Munnink, Marion P.G. Koopmans*

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

8 Downloads (Pure)

Abstract

A systematic approach is required for the development of an evidence-based risk assessment tool to robustly estimate the risks and implications of SARS-CoV-2 variants. We conducted a survey among experts involved in technical advisory roles for WHO to capture their assessment of the robustness of different study types that provide evidence for potential changes in transmissibility, antigenicity, virulence, treatability, and detectability of SARS-CoV-2 variants. The views of 62 experts indicated that studies could be grouped on the basis of robustness and reliability for the different risk indicators mentioned. Several study types that experts scored as providing reliable evidence and that can be performed in a timely manner were identified. Although experts from different technical areas had varying responses, there was agreement on the highest and lowest scoring study types. These findings can help to prioritise, harmonise, and optimise study designs for the further development of a systematic, evidence-based, SARS-CoV-2 variant risk assessment tool.

Original languageEnglish
Pages (from-to)e830-e836
JournalThe Lancet Microbe
Volume4
Issue number10
DOIs
Publication statusPublished - Oct 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

Fingerprint

Dive into the research topics of 'Towards the development of a SARS-CoV-2 variant risk assessment tool: expert consultation on the assessment of scientific evidence on emerging variants'. Together they form a unique fingerprint.

Cite this