Emetere, Moses and Akinyemi, M. L. and Okoro, Emeka Emmanuel and Sanni, Samuel Eshorame and Afolalu, Sunday A. (2021) Investigating infection pattern of viral bioaerosols: A case study of COVID-19 in Lagos, Nigeria. In: International Conference on Energy and Sustainable Environment, 2021, Online.
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Abstract
The dynamics of viral bioaerosols are unknown; hence, its detection and control may be complicated. In this study, the structural analysis of Influenza A, SARS Coronavirus, and IBV Coronavirus was adequately discussed. The infection pattern of the SARS coronavirus was further investigated using the dataset from Nigeria Centre for Disease Control (NCDC), Nigeria, and 'Ourworldindata' for datasets in parts of China. The artificial neural network (ANN) tool was used to determine the COVID-19 infection in Lagos. It was observed that many unaccounted COVID- 19 patients are roaming the region. It is recommended that the Lagos government embark on compulsory house-to-house testing to detect potential COVID-19 carriers.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QC Physics T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Physics |
| Depositing User: | Patricia Nwokealisi |
| Date Deposited: | 29 May 2024 13:27 |
| Last Modified: | 29 May 2024 13:27 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/18042 |
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