Multi-Pathogen Surveillance of Acute Febrile Illness in Nigeria Using TaqMan Array Cards: Implementation Successes and Lessons Learned From the SAFIAN Study
Jean H Kim, Philippe Chebu, Richard Fayomade, Onyia Justus Ejike, Claire A Quiner, Vivian Kwaghe, Cyril Erameh, Femi Owolagba, Blessed Okhiria, Ikponmwosa Odia, Jacqueline Agbukor, Julius Oshiobugie Imoyera, Walter Mary Odion, Katherine Asman, Adamu Zigwai Ephraim

TL;DR
This study implemented a new method to detect multiple pathogens causing febrile illnesses in Nigeria and shares lessons on what worked and what didn't.
Contribution
The study provides practical insights into implementing TaqMan Array Cards for multi-pathogen surveillance in resource-limited settings.
Findings
TaqMan Array Cards were successfully used to test for 25 pathogens in febrile patients.
Operational challenges included procurement delays, sample contamination, and assay underperformance.
Successful implementation required coordination, real-time tracking, and investment in infrastructure.
Abstract
Undiagnosed acute febrile illness (AFI) is a persistent challenge in Nigeria, where the presence of malaria is often presumed in the absence of timely and accurate diagnostic confirmation. To expand diagnostic capacity and identify a broader spectrum of AFI etiologies, the Surveillance of Acute Febrile Illness Aetiology in Nigeria (SAFIAN) study implemented the TaqMan Array Card (TAC) platform to test for 25 pathogens among febrile patients at 2 tertiary hospitals. This article summarizes operational lessons from the introduction of TACs along with key implementation components, including platform selection, procurement and shipment of specialized equipment, laboratory preparation, staff training, and quality control oversight. We also highlight several constraints, including procurement delays, sample contamination, assay underperformance, and procedural inefficiencies. Findings from…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMalaria Research and Control · Viral Infections and Outbreaks Research · Data-Driven Disease Surveillance
