Abstract
Objectives
The objective was to analyze in silico public search interest during the COVID-19 pandemic for some classic infectious childhood diseases, e.g., measles, mumps, chickenpox, scarlet fever, and inflammatory diseases like Kawasaki disease and the pediatric inflammatory multisystem syndrome (PIMS).
Study design
In this study, a comparison of five childhood diseases in public search trends with the pediatric inflammatory multisystem syndrome was performed.
Methods
Google Trends data for the period of five years for six childhood diseases were used. We used topics coverings all languages worldwide and all connected search queries.
Results
Public search interest decreased during the COVID-19 pandemic for some classic infectious childhood diseases. Search interest for the pediatric inflammatory multisystem syndrome, despite strong indication of a connection with COVID-19, remained relatively low compared to Kawasaki disease.
Practice implications
Better understanding of Google Trends can map public awareness of childhood diseases in terms of time course and search intensity.
Conclusions
Public interest during the pandemic was generated for diseases with suspected connection to COVID-19, presumably due to media triggers.
【저자키워드】 COVID-19, MIS-C, Google Trends, PIMS, Search engine data, PMIS, 【초록키워드】 pandemic, Diseases, pediatric, COVID-19 pandemic, media, in silico, Kawasaki disease, Practice, childhood, public interest, trend, disease, Inflammatory, Google, mumps, triggers, intensity, connection, syndrome, inflammatory disease, Public, implication, Chickenpox, objective, FIVE, scarlet fever, Course, Result, remained, was performed, were used, Better, with COVID-19, 【제목키워드】 children, COVID-19 pandemic, childhood, disease, Inflammatory, syndrome, Public,