EUROPEAN CENTRAL COUNCIL
OF HOMEOPATHS
Ensuring patients have access to high
quality homeopathic treatment

News

Latest News

30th November, 2023

Member of the European Parliament Michèle Rivasi | 1953-2023

With deep sadness, we announce the unexpected passing of the French Greens/ EFA Michèle Rivasi, on the morning of Wednesday, 29 November. A statement from the Greens/EFA states that Michèle’s ...

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18th July, 2023

TCIH Coalition had a meeting with WHO

During a virtual meeting with WHO Director-General Dr Tedros Adhanom Ghebreyesus and a group of WHO senior officials, representatives of more than 300 civil society organisations (CSOs) and over 600 ...

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Future Events

Prof Ashley Ross’s COVID-19 work recognised by WHO

DURBAN University of Technology’s interim executive dean in the faculty of health sciences, Prof Ashley Ross, has together with a group of international health experts written a topical paper that was recently listed on the World Health Organisation (WHO) website.

This is a pat on the back for Prof Ross and 13 other homeopathic researchers, epidemiologists and clinicians from USA, UK, Argentina, India, Italy, Belgium, Greece and Turkey, for a job well done. The aim of the study, titled Data Collection during the Covid-19 Pandemic: Learning from Experience, Resulting in Bayesian Repertory, which was based on Bayes’ Theorem, was to discover the relationship between specific symptoms and specific medicines, especially of symptoms occurring frequently in the Covid-19.

The research commenced in May 2020 and was led by a very well-regarded Dutch researcher, Dr Lex Rutten. The case collection and analysis was conducted over a period of five months. The findings were that the Likelihood Ratios (LRs) of common symptoms such as ‘fatigue’ and ‘headache’ provided better differentiation between medicines than did existing repertory entries, which are based on the presence or absence of symptoms. A mini-repertory for Covid-19 was published and supported by a web-based algorithm. With a case of 20 common symptoms, this algorithm produced the same outcome as a full homeophathic analysis based on a larger number of symptoms, including some that are traditionally considered more specific to particular medicines. Read more