Smarsly, KayKaySmarslyAl-Hakim, YousufYousufAl-HakimPeralta Abadia, PatriciaPatriciaPeralta AbadiaBeier, SilvioSilvioBeierKlümper, ClaudiaClaudiaKlümper2024-02-012024-02-01202316th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023)https://hdl.handle.net/11420/45460The 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.enLife Sciences, BiologyConference Paper10.5220/0011593000003414Conference Paper