Abstract
We present the hypothesis to the scientific community actively designing clinical trials and recommending public health guidelines to control the pandemic that – “Tetanus vaccination may be contributing to reduced severity of the COVID-19 infection” – and urge further research to validate or invalidate the effectiveness of the tetanus toxoid vaccine against COVID-19. This hypothesis was revealed by an explainable artificial intelligence system unleashed on open public biomedical datasets. As a foundation for scientific rigor, we describe the data and the artificial intelligence system, document the provenance and methodology used to derive the hypothesis and also gather potentially relevant data/evidence from recent studies. We conclude that while correlations may not be reason for causation, correlations from multiple sources is more than a serendipitous coincidence that is worthy of further and deeper investigation.
【초록키워드】 COVID-19, public health, Vaccine, vaccination, clinical trial, pandemic, severity, artificial intelligence, clinical trials, COVID-19 infection, Research, Effectiveness, Scientific community, methodology, correlation, Hypothesis, Explainable artificial intelligence, reason for, open, tetanus toxoid, foundation, correlations, reason, scientific rigor, datasets, Tetanus, provenance, reduced, contributing to, 【제목키워드】 COVID-19, vaccination, severity, reduced, contribute,