Abstract

AbstractA recent worldwide COVID-19 case collection assessed the prevalence and likelihood ratio (LR) of symptoms, resulting in a bayesian repertory and repertorization app. This approach resulted in a clear and reliable differentiation between selected medicines, with common symptoms, combined or separately. The assessed COVID-19 symptoms are mostly common symptoms and occur in several other acute viral infections. Common symptoms are symptoms, throughout the body, common to most viral infectious disease, for example, fever, headache, weakness, etc. Use of this repertory and app is likely to improve the effectiveness of homeopathy in these infections due to the hierarchical approach built within the app to categorize the unique combination of common symptoms specific to each case. The use of the online app is free of charge. This offers an opportunity to experience the usefulness of common symptoms with the bayesian approach in case evaluation. This repertory could be a showcase of homeopathic treatment based on systematic and reproducible data collection. We invite practitioners to test the app in daily practice while treating acute viral infections and give feedback via the new button at the last screen of the app.

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