Investigating infection pattern of viral bioaerosols: A case study of COVID-19 in Lagos, Nigeria
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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.
Keywords
QC Physics, TJ Mechanical engineering and machinery