Investigating infection pattern of viral bioaerosols: A case study of COVID-19 in Lagos, Nigeria
| dc.creator | Emetere, Moses, Akinyemi, M. L., Okoro, Emeka Emmanuel, Sanni, Samuel Eshorame, Afolalu, Sunday A. | |
| dc.date | 2021 | |
| dc.date.accessioned | 2025-04-15T11:46:24Z | |
| dc.description | 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. | |
| dc.format | application/pdf | |
| dc.identifier | http://eprints.covenantuniversity.edu.ng/18042/ | |
| dc.identifier.uri | https://repository.covenantuniversity.edu.ng/handle/123456789/48624 | |
| dc.language | en | |
| dc.subject | QC Physics, TJ Mechanical engineering and machinery | |
| dc.title | Investigating infection pattern of viral bioaerosols: A case study of COVID-19 in Lagos, Nigeria | |
| dc.type | Conference or Workshop Item |
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