Toward setting minimum and optimal data to report for malaria molecular surveillance with targeted sequencing: the “what” and “why”
File(s)
Published version
Author(s)
Juliano, Jonathan J
Meier-Scherling, Cecile PG
Wernsman Young, Neeva
Tollefson, George A
Connelly, Sean V
Type
Journal Article
Abstract
The coronavirus disease 2019 pandemic showcased the power of genomic surveillance in tracking infectious diseases, driving rapid public health responses, and global collaboration. This same infrastructure is being leveraged for malaria molecular surveillance (MMS) in Africa to address challenges such as artemisinin partial resistance and deletions in the Plasmodium falciparum histidine-rich protein 2 and 3 genes. However, variability in reporting sequencing methods and data reporting currently limits the validation, comparability, and reuse of data. To maximize the impact of MMS, minimal and optimal data that are key for validation and maximizing transparency and findable, accessible, interoperable, and reusable principles are proposed for reporting. Rather than focusing on specific data formats, in the current study, the authors propose what should be reported and why. Progressing to reporting individual infection-level polymorphism or microhaplotype data is central to maximizing the impact of MMS. Reporting must adhere to local regulatory practices and ensure proper data oversight and management, preventing data colonialism and preserving opportunities for data generators. With malaria’s challenges transcending borders, reporting and adopting standardized practices are essential to advancing research and strengthening global public health efforts.
Date Issued
2025-12-01
Date Acceptance
2025-08-06
Citation
American Journal of Tropical Medicine and Hygiene, 2025, 113 (6), pp.1169-1177
ISSN
0002-9637
Publisher
American Society of Tropical Medicine and Hygiene
Start Page
1169
End Page
1177
Journal / Book Title
American Journal of Tropical Medicine and Hygiene
Volume
113
Issue
6
Copyright Statement
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/40997786
PII: tpmd250147
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2025-09-25