Evaluation of the AiDx Assist device for automated detection of Schistosoma eggs in stool and urine samples in Nigeria
The AiDx Assist met the World Health Organization Target Product Profile criteria in terms of diagnostic accuracy for the detection of <i>S. haematobium</i> eggs in urine samples and performed modestly in the detection of <i>S. mansoni</i> eggs in stool samples. With some further improvements, it has the potential to become a valuable diagnostic tool for screening multiple helminth parasites in stool and urine samples.
Authors
- Jacob Solomon (ORCID: https://orcid.org/0000-0001-5392-3819)
- Gleb Vdovine
- Satyajith Jujjavarapu
- Samuel Popoola (ORCID: https://orcid.org/0009-0004-0244-1616)
- Jan Carel Diehl (ORCID: https://orcid.org/0000-0002-4007-2282)
- Cornelis H. Hokke (ORCID: https://orcid.org/0000-0003-3545-7804)
- Moses Aderogba (ORCID: https://orcid.org/0000-0002-9080-0997)
- Pytsje T. Hoekstra (ORCID: https://orcid.org/0000-0002-7285-9223)
- David Bell (ORCID: https://orcid.org/0000-0002-7010-6340)
- Brice Meulah (ORCID: https://orcid.org/0000-0003-2068-1563)
- Joseph Fadare (ORCID: https://orcid.org/0000-0002-5641-1402)
- Louise K. Makau-Barasa (ORCID: https://orcid.org/0000-0002-4044-6459)
- Temitope Agbana (ORCID: https://orcid.org/0000-0003-1183-6180)
- Lisette van Lieshout
- John A. Omotayo
Institutions
- Ekiti State University (NG)
- Federal Ministry of Health (NG)
- Leiden University Medical Center (NL)
- Brazosport College (US)
- Centre de Recherche Médicales de Lambaréné (GA)
- Delft University of Technology (NL)
Publication Details
- Journal
- Frontiers in Parasitology
- Published
- 2025-03-17
- DOI
- https://doi.org/10.3389/fpara.2025.1440299
- Citations
- 3
- Primary Topic
- Parasites and Host Interactions
- Type
- article
- Field-Weighted Citation Impact
- 6.14