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

Introduction Since late 2019, the origin of COVID-19 has been a topic of debate among scientists and politicians, particularly between the US and China. The lab leak hypothesis, which involves the escape of the virus from the WIV laboratory in Wuhan, China, and the natural origin hypothesis, possibly through an intermediate host. These hypotheses have been discussed since the onset of the pandemic without a definitive conclusion. However, a prevailing view within the scientific community suggests a specific origin, potentially unbiased by political influences. This study aims to investigate the direction of scientific consensus on the origin of matter and to discuss the effects and impacts of politicization. Method To achieve this, a mixed-method meta-analysis involving a content-based qualitative and quantitative synthesis was conducted. Forty-eight studies were selected using the PRISMA model and were synthesized in MASQDA. Textual analyses included text processing, TF-IDF weighting, sentiment scoring using AFINN lexicon, and similarity metrics (Jaccard, Levenshtein) to map inter-document relationships and key evidentiary terms. A sensitivity analysis was performed to verify the robustness of our AFINN-based continuous sentiment measurements by comparing them to Bing, Loughran, Syuzhet, NRC, and VADER lexicons. The preregistration of this protocol occurred on PROSPERO with an ID: 1055566. Results According to the results derived from the study, many scientists support the natural origin of COVID-19, and the sentiment around this hypothesis is positive (0.398), indicating a more optimistic and affirmative language compared to the lab-leak hypothesis, with a negative average sentiment score of -0.124, suggesting that discourse around this theory is comparatively more negative. However, these findings were consistent across multiple sentiment analysis tools (Bing, Loughran, Syuzhet, NRC, and VADER), confirming that the lab-leak narrative tends to be discussed more negatively, which provides a robustness of the main AFINN results, while Natural Origin narratives tend toward more positive sentiment. Therefore, several key factors contribute to the scientific preference for the natural origin hypothesis, including: (1) No record of genetic evidence of laboratory engineering has been found. (2) No pre-existing virus matching SARS-CoV-2 was known to be held in any lab (3) The furin cleavage site (FCS) is naturally occurring and experimental attempts to generate an FCS in bat coronaviruses failed, suggesting natural evolution, (4)) early cases linked to animal exposure, not labs, (5) historical precedent for natural zoonotic spillover: SARS-CoV-1 (2003) and MERS-CoV (2012), (6) lack of credible evidence for lab involvement: no scientific publication, leaked document, or whistleblower testimony. Discussion The analysis reveals a strong scientific inclination toward the natural origin hypothesis of COVID-19, indicating a positive sentiment score reflecting more confident and supportive language in the literature compared to the lab-leak hypothesis. Although the lab-leak hypothesis is often discussed, it is usually described in more negative and uncertain terms. This revealed that both hypotheses are part of the academic conversation; the natural origin theory has more substantial evidence and more supportive discourse. However, this scientific debate has become highly politicized, especially between the U.S. and China. This political friction has muddled public understanding and threatens to erode trust in science. In particular, the lab-leak narrative has been frequently promoted outside of scientific circles on platforms with political motivations, fueling polarized public arguments. Conclusion This study illustrates the impact of political polarization on scientific communication and perception, and how public debate can change in relation to scientific consensus. To preserve the integrity of science, investigations into viral origins must be transparent, cooperative, and free from geopolitical influence. This commitment is essential to ensure preparedness for future pandemics and maintain public trust in science.