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Illumina systems and Oxford Nanopore Technologies (ONT) have been primary tools for NGS, each presenting unique advantages. The hybrid assembly (HA) approach, integrating short- and long-read sequencing methods, has been developed to improve genome accuracy by utilizing the combined advantages of both techniques. While HA has been used to enhance SARS-CoV-2 genome quality, its optimal applications for SARS-CoV-2 sequencing and surveillance have not been systematically studied. This study seeks to address this gap by evaluating the conditions under which HA improves SARS-CoV-2 genomic surveillance, analysing 192\u2009samples using eight bioinformatics methods across both platforms. HA was evaluated against single-technology approaches for its genome assembly and mutation detection performance. While HA did not outperform single-technology methods in detecting unique mutations, it produced marginally more complete genomes than Illumina-based methods. Importantly, mutations identified by HA were consistently detected across all eight methodologies, demonstrating its reliability in mutation detection. Moreover, our research underlines the critical need for in-house validation of methods and exposes the limitations inherent in proprietary pipelines. Our findings suggest that an HA approach could be used as a quality control tool in genomic surveillance, particularly for improving low-quality ONT sequencing data by integrating high-quality Illumina sequencing data. However, implementing HA demands the presence of both sequencing platforms and additional resources, such as hands-on time, expensive sequencing reagents and bioinformatics know-how. A decision-tree analysis identified the percentage of trimmed ONT reads relative to total reads as crucial for HA success, emphasizing the significance of high-quality ONT reads. This comprehensive approach provides public health laboratories insights to refine genomic surveillance strategies for SARS-CoV-2, potentially influencing future research and response efforts.<\/jats:p>","DOI":"10.1099\/mgen.0.001357","type":"journal-article","created":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T13:16:50Z","timestamp":1752153410000},"source":"Crossref","is-referenced-by-count":0,"title":["Enhancing public health surveillance: a comparative study of platform-specific and hybrid assembly approaches in SARS-CoV-2 genome sequencing"],"prefix":"10.1099","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3815-8036","authenticated-orcid":false,"given":"Yasemin","family":"Co\u015fgun","sequence":"first","affiliation":[{"name":"Public Health General Directorate, Ministry of Health, Ankara, T\u00fcrkiye"},{"name":"The National Virology Reference Laboratory, Public Health General Directorate, Ministry of Health, Ankara, T\u00fcrkiye"},{"name":"The Department 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