A Systematic Review and Recommendation of Software Architectures for SARS-CoV-2 Monitoring

Citation
16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023)
Contribution to Conference
16th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2023  
Publisher DOI
10.5220/0011593000003414
Publisher
SCITEPRESS - Science and Technology Publications
The coronavirus disease 2019 (COVID-19) is a highly infectious respiratory disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2), which has led to the ongoing global pandemic with more than half a billion cases worldwide. Response measures to COVID-19 outbreaks suffer from lagging between detecting and reporting COVID-19 cases and by underreporting. By contrast, using wastewater allows detecting SARS-CoV-2 ribonucleic acid (RNA) in human feces, serving as a timely and reliable basis for devising effective measures to prevent and control COVID-19 outbreaks. As a technological basis, software systems for monitoring SARS-COV-2 RNA in wastewater are required, which are capable of (i) interlinking COVID-19-related data from different sources, (ii) providing user interfaces with remote access, (iii) implementing software design concepts that are well-established, and (iv) deploying on-demand SARS-CoV-2 data analysis. To ensure reliable operation, it is crucial to set up SARS-COV-2 monitoring systems based on sound software architectures. This paper systematically reviews and categorizes software architectures for SARS-CoV-2 monitoring systems, considering journals, book series, and conference proceedings indexed in the Scopus database. Then, a software architecture for SARS-CoV-2 monitoring systems is proposed. In future work, the proposed software architecture may be implemented and validated for SARS-CoV-2 monitoring.
DDC Class
570: Life Sciences, Biology