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Data Collection during the COVID-19 Pandemic: Learning from Experience, Resulting in a Bayesian Repertory.
Rutten, Lex; Smedley, Tom; Ives, Galen; Gold, Peter; Merizalde, Bernardo; van Haselen, Robbert; Manchanda, Raj Kumar; Ross, Ashley; Cataldi, Gustavo; Agaoglu, Altunay; di Giampietro, Tiziana; Lilas, Theodore; Schroyens, Frederik; Eizayaga, José E.
  • Rutten L; Independent Researcher, Breda, the Netherlands.
  • Smedley T; Independent Researcher, United Kingdom.
  • Ives G; Information School, University of Sheffield, United Kingdom.
  • Gold P; American Institute of Homeopathy (AIH), United States.
  • Merizalde B; Department of Integrative Medicine and Scientific Nutrition, Thomas Jefferson University, Philadelphia; Liga Medicorum Homeopathica Internationalis (LMHI), United States.
  • van Haselen R; International Institute for Integrated Medicine, Kingston, United Kingdom.
  • Manchanda RK; Directorate of AYUSH, Govt. of Delhi, India.
  • Ross A; Durban University of Technology, Durban, South Africa.
  • Cataldi G; Liga Medicorum Homeopathica Internationalis (LMHI), Argentina.
  • Agaoglu A; Liga Medicorum Homeopathica Internationalis (LMHI), Turkey.
  • di Giampietro T; European Committee for Homeopathy (ECH), Italy.
  • Lilas T; Vithoulkas Compass, Greece.
  • Schroyens F; ZEUS-SOFT, Belgium.
  • Eizayaga JE; Department of Homeopathy, Maimonides University, Argentina.
Homeopathy ; 110(2): 94-101, 2021 05.
Article in English | MEDLINE | ID: covidwho-1006419
Semantic information from SemMedBD (by NLM)
1. CD69 protei ASSOCIATED_WITH C1457887
Subject
CD69 protei
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ASSOCIATED_WITH
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C1457887
2. Symptoms COEXISTS_WITH Disease
Subject
Symptoms
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COEXISTS_WITH
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Disease
3. Analysis USES Homeopathy
Subject
Analysis
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USES
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Homeopathy
4. CD69 protein, human|CD69 ASSOCIATED_WITH Symptoms
Subject
CD69 protein, human|CD69
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ASSOCIATED_WITH
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Symptoms
5. Symptoms COEXISTS_WITH Disease
Subject
Symptoms
Predicate
COEXISTS_WITH
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Disease
6. Analysis USES Homeopathy
Subject
Analysis
Predicate
USES
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Homeopathy
ABSTRACT

BACKGROUND:

A novel pandemic disease offered the opportunity to create new, disease-specific, symptom rubrics for the homeopathic repertory.

OBJECTIVE:

The aim of this study was to discover the relationship between specific symptoms and specific medicines, especially of symptoms occurring frequently in this disease. MATERIALS AND

METHODS:

Worldwide collection of data in all possible formats by various parties was coordinated by the Liga Medicorum Homeopathica Internationalis. As the data came in, more symptoms were assessed prospectively. Frequent analysis and feedback by electronic newsletters were used to improve the quality of the data. Likelihood ratios (LRs) of symptoms were calculated. An algorithm for combining symptom LRs was programmed and published in the form of an app. The app was tested against 18 well-described successful cases from Hong Kong.

RESULTS:

LRs of common symptoms such as 'Fatigue' and 'Headache' provided better differentiation between medicines than did existing repertory entries, which are based only on the narrow presence or absence of symptoms. A mini-repertory for COVID-19 symptoms was published and supported by a web-based algorithm. With a choice of 20 common symptoms, this algorithm produced the same outcome as a full homeopathic analysis based upon a larger number of symptoms, including some that are traditionally considered more specific to particular medicines.

CONCLUSION:

A repertory based on clinical data and LRs can differentiate between homeopathic medicines using a limited number of frequently occurring epidemic symptoms. A Bayesian computer algorithm to combine symptoms can complement a full homeopathic analysis of cases.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: COVID-19 / Phytotherapy Subject: COVID-19 / Phytotherapy Language: English Journal: Homeopathy Year: 2021

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: COVID-19 / Phytotherapy Subject: COVID-19 / Phytotherapy Language: English Journal: Homeopathy Year: 2021
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