Analysis pipeline

To analyze the clinical trials, a methodology similar to that of Alag 2020 [6] was used with the following additions. It is important to note that interventions are the focus of a clinical trial: often in a clinical trial, the response of patients who are given an intervention (drug, test, procedure, etc.) are compared to patients who do not receive that intervention. Interventions can be drugs, medical devices, vaccines, procedures, genetic tests, noninvasive techniques, such as diet, education, or exercise, and are sorted into eleven different categories (e.g., genetic, radiation, etc.).

Interventions/Drugs: A list of unique interventions/drugs that appear in COVID-19 related clinical trials were created. This dictionary of terms was essential to later formulate reports and correlations. The data was retrieved at multiple time points to get insights about the rate at which these trials are occurring.

Correlations: Through using co-occurrences of a specific term, correlations were noted between drugs/interventions, MeSH terms, and HPO terms, as further described in the following subsection.

Reports: Unique hypertext markup language (HTML)-based reports were created for each of the interventions/drugs, MeSH tags, and HPO terms. These reports have associated clinical trials and related HPO terms, each of which also has associated genes, SNPs, and protein mutations. A more in-depth discussion of the reports is provided in the Results section.