PreprintPublic domainZenodo (CERN European Organization for Nuclear Research)
FAERS Pharmacovigilance: Strongyloides stercoralis Adverse Event Disproportionality in Corticosteroid Recipients
- 1Independent Researcher
Abstract
Draft pre-print — Hidden Infections research series. AI-assisted. CC0 public domain. Reproducibility data package included. v1.1 (27 May 2026): Corrected licence header in bundled Python scripts from CC0 to MIT, consistent with project metadata.
Related
- Diagnostic Accuracy of a Novel Chemiluminescent Immunoassay for Strongyloides stercoralis in a Non-Endemic Clinical Setting
- Study 12 — The COVID-19 Dexamethasone Programme as Real-World Validation of Corticosteroid-Strongyloides Risk
- Prevalence of Strongyloides stercoralis infection among African children: A systematic review and meta-analysis
- Impact of the vaccination against SARS-CoV-2 campaign on disproportionality indicator from the WHO pharmacovigilance database: A competition bias study from case/non-case analysis
- Semaglutide and Panic Attacks: Active‐Comparator Disproportionality Analysis, Temporal Assessment of Notoriety Bias and Evidence Triangulation in Post‐Marketing Pharmacovigilance
BibTeX
@misc{webb2026faers,
title = {{FAERS Pharmacovigilance: Strongyloides stercoralis Adverse Event Disproportionality in Corticosteroid Recipients}},
author = {Marcus Webb},
howpublished = {Zenodo (CERN European Organization for Nuclear Research)},
year = {2026},
month = may,
doi = {10.5281/zenodo.20402642},
url = {https://doi.org/10.5281/zenodo.20402642},
note = {Public domain},
}
RIS
TY - UNPB
TI - FAERS Pharmacovigilance: Strongyloides stercoralis Adverse Event Disproportionality in Corticosteroid Recipients
AU - Marcus Webb
PY - 2026
DA - 2026/05/27
PB - Zenodo (CERN European Organization for Nuclear Research)
DO - 10.5281/zenodo.20402642
UR - https://doi.org/10.5281/zenodo.20402642
AB - Draft pre-print — Hidden Infections research series. AI-assisted. CC0 public domain. Reproducibility data package included. v1.1 (27 May 2026): Corrected licence header in bundled Python scripts from CC0 to MIT, consistent with project metadata.
ER -