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

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

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