Homeopathy
DOI: 10.1055/s-0042-1746196
Original Research Article

Test of a Homeopathic Algorithm for COVID-19: the Importance of a Broad Perspective

Anjali Miglani
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Amrit Kalsi
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Prabhjeet Kaur
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Beenu Saini
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Amit Arora
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Cheshta Nagrath
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Jithesh Thavarayil Kannoth
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Ram Kumar Kudiyarasu
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Rahul Vardaan
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Smita Brahmachari
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Ankit Gupta
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Shelly Arora
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Shirin Balan
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Kavita Sharma
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Malaya Kumar Ray
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Anu Chawla
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Manjula Ghuliani
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Anurag Pandey
1   Directorate of AYUSH, Health and Family Welfare Department, Government of NCT of Delhi, New Delhi, India
,
Philippa Fibert
2   Department of Psychology and Pedogogic Science, St Mary's University, London, UK
,
Lex Rutten
3   Aard 10, 4813NN Breda, The Netherlands
› Author Affiliations

Abstract

Background/Objective Most of the symptoms of coronavirus disease 2019 (COVID-19) are covered by large repertory rubrics and hence many remedies have been proposed as “genus epidemicus”. The aim of this study was to combine the information from various data collections to prepare a COVID-19 Bayesian mini-repertory/an algorithm-based application (app) and test it.

Methods In July 2021, 1,161 COVID-19 cases from 100 practitioners globally were combined. These data were used to calculate “condition-confined” likelihood ratios (LRs) for 59 symptoms of COVID-19. Out of these, 35 symptoms of the 11 medicines that had at least 20 cases each were considered. The information was entered in a spreadsheet (algorithm) to calculate combined LRs of specific combinations of symptoms. The algorithm contained the medicines Arsenicum album, Belladonna, Bryonia alba, Camphora, Gelsemium sempervirens, Hepar sulphuris, Mercurius solubilis, Nux vomica, Phosphorus, Pulsatilla and Rhus toxicodendron. To test concordance, the doctors were then invited to re-enter the symptoms of their cases into this algorithm.

Results The algorithm was re-tested on 358 cases, and concordance was seen in 288 cases. On analysis of the data, bias was noticed in the Merc group, which was therefore excluded from the algorithm. The remaining 10 medicines, representing 81.8% of all cases, were included in the preparation of the next version of the homeopathic mini-repertory and app.

Conclusion The Bayesian mini-repertory and app is based on qualitative clinical experiences of various doctors in COVID-19 and gives indications for specific medicines for common COVID-19 symptoms. It is freely available [English: https://hpra.co.uk/; Spanish: https://hpra.co.uk/es ] for further testing and utilization by the profession.



Publication History

Received: 19 October 2021

Accepted: 19 January 2022

Article published online:
21 August 2022

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