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

Kay Smarsly, Yousuf Al-Hakim, Patricia Peralta, Silvio Beier, Claudia Klümper

2023

Abstract

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.

Paper Citation

in Harvard Style

Smarsly K., Al-Hakim Y., Peralta P., Beier S. and Klümper C. (2023). A Systematic Review and Recommendation of Software Architectures for SARS-CoV-2 Monitoring. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF; ISBN 978-989-758-631-6, SciTePress, pages 211-217. DOI: 10.5220/0011593000003414

in Bibtex Style

@conference{healthinf23,
author={Kay Smarsly and Yousuf Al-Hakim and Patricia Peralta and Silvio Beier and Claudia Klümper},
title={A Systematic Review and Recommendation of Software Architectures for SARS-CoV-2 Monitoring},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF},
year={2023},
pages={211-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011593000003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 5: HEALTHINF
TI - A Systematic Review and Recommendation of Software Architectures for SARS-CoV-2 Monitoring
SN - 978-989-758-631-6
AU - Smarsly K.
AU - Al-Hakim Y.
AU - Peralta P.
AU - Beier S.
AU - Klümper C.
PY - 2023
SP - 211
EP - 217
DO - 10.5220/0011593000003414
PB - SciTePress