Analyzing Citizens' and Health Care Professionals' Searches for Smell/Taste Disorders and Coronavirus in Finland During the COVID-19 Pandemic: Infodemiological Approach Using Database Logs.

Milla Mukka Samuli Pesälä Charlotte C Hammer Pekka Mustonen Vesa Jormanainen Hanna Pelttari Minna Kaila Otto M Helve

Published in: JMIR public health and surveillance (2021)

Novel infodemiological approaches could be used in analyzing database logs. Modeling log data from web-based sources was seen to improve the model only occasionally. However, search behaviors among citizens and professionals could be used as a supplementary source of information for infectious disease surveillance. Further research is needed to apply statistical models to log data of the dedicated medical databases.

Keyphrases

healthcare
infectious diseases
big data
electronic health record
sars cov
adverse drug
health information
artificial intelligence
machine learning
coronavirus disease
health insurance
drug induced