Comparison of geological clusters between influenza and COVID-19 in Thailand with unsupervised clustering analysis.

ABSTRACT: The coronavirus disease (COVID-19) pandemic has considerably impacted public health, including the transmission patterns of other respiratory pathogens, such as the 2009 pandemic influenza (H1N1). COVID-19 and influenza are both respiratory infections that started with a lack of vaccination-based immunity in the population. However, vaccinations have been administered over time, resulting in a transition of the status of both diseases from a pandemic to an endemic. In this study, unsupervised clustering techniques were used to identify clusters of disease trends in Thailand. The analysis incorporated three distinct surveillance datasets: the pandemic influenza outbreak, influenza in the endemic stage, and the early stages of COVID-19. The analysis demonstrated a significant difference in t

SUBMITTER: Methiyothin T 

PROVIDER: S-EPMC10802941 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature