Toward Setting Minimum and Optimal Data to Report for Malaria Molecular Surveillance with Targeted Sequencing: The “What” and “Why”

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.

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Publication Details

Journal
American Journal of Tropical Medicine and Hygiene
Published
2025-09-25
DOI
https://doi.org/10.4269/ajtmh.25-0147
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Toward Setting Minimum and Optimal Data to Report for Malaria Molecular Surveillance with Targeted Sequencing: The “What” and “Why”

Karamoko Niaré, Neeva Wernsman Young, Melissa D. Conrad, Sean V. Connelly et al.
American Journal of Tropical Medicine and Hygiene
Malaria Research and Control
article

Toward Setting Minimum and Optimal Data to Report for Malaria Molecular Surveillance with Targeted Sequencing: The “What” and “Why”

Karamoko Niaré, Neeva Wernsman Young, Melissa D. Conrad, Sean V. Connelly, Oliver John Watson, Gina Cuomo-Dannenburg, Jonathan B. Parr, Lucy Okell, Christopher M. Hennelly, Isabela Gerdes Gyuricza, Kelly Carey-Ewend, Jonathan J. Juliano, George A. Tollefson, Robert Verity, Shazia Ruybal‐Pesántez, Abebe A. Fola, Cecile P. G. Meier-Scherling, Ashenafi Assefa, Jeffrey A. Bailey, Jacob M. Sadler, Jacob Marglous, Ronald Futila Kyong-Shin
article en

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.

American Journal of Tropical Medicine and HygieneVol. 113(6)
University of North Carolina at Chapel Hill (US), University of California, San Francisco (US), Brown University (US), Public Health England (GB), Ethiopian Public Health Institute (ET), National Institute of Biomedical Research (CD), University of North Carolina System (US), Imperial College London (GB), Universidad San Francisco de Quito (EC), University of San Francisco (US)
Openalex Percentile: Top 65%
Malaria Research and Control
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