COVID-19 Origins: A Mixed-Methods Meta-Analysis of Scientific Consensus and Political Narratives

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Authors: Caroline Olamojiba Afolabi, Joseph Adekunle
Cited by: 0

Abstract

This dataset contains the extracted and synthesized data used to support the findings of the study titled “COVID-19 Origins: A Mixed-Methods Meta-Analysis of Scientific Consensus and Political Narratives.” The dataset comprises structured information derived from peer-reviewed scientific publications, publicly available epidemiological reports, policy documents, and media sources analyzed during the study period. Variables include study identifiers, source type, thematic classifications, methodological attributes, and summary indicators used in the quantitative and qualitative analyses. All data are secondary, aggregated, and anonymized. No individual-level personal or clinical information is included. The dataset is provided to enhance transparency, reproducibility, and further research on COVID-19 origin discourse and scientific consensus formation.

Fields of Study & Subjects

SARS-CoV-2 and COVID-19 Research Academic Publishing and Open Access Communication and COVID-19 Impact

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Language
EN