Purpose. A virus, when it infects a host organism, multiplies its ribonucleic acid (RNA) to make it more harmful. We analyze if a view-based temporal template method, the motion history image (MHI) algorithm, may be of use to extract information on the progression of viral interactions over time. Methods. We employ an alternative online processing modality to comprehend and analyze the replication dynamics of severe acute respiratory syndrome coronavirus 2 (SARS CoV 2). The data are evaluated using the computation of a quantitative algorithm, the absolute value of differences (AVD), followed by the generation of temporal template map, the MHI of viral contact. Results. We show that the MHI identifies various stages to examine cultural characteristics and information on the progression of viral interactions over time. The results are more easily obtained compared to a visual inspection of the frames constituting the recordings. MHI also has the advantage of relying on a simple algorithm. The AVD index further provides deeper insights into the dynamics of the viral interaction over time, and its measurement suggests that SARS CoV-2 virus is becoming more widespread. This study shows that the replication process damages the host cell over time, in addition to causing SARS CoV-2 to proliferate. Conclusions. The MHI provides a framework for automated feature extraction from time series data. The combined approach results in decreased computational complexity and enables online assessment of the assay. Clinical and research studies can be conducted to evaluate MHI and AVD and their utility in aiding diagnostic analysis.