@article{oai:hirosaki.repo.nii.ac.jp:00006731,
 author = {Minakawa, Satoko and Saito, Norihiro and Itoga, Masamichi and Kayaba, Hiroyuki},
 issue = {1-4},
 journal = {弘前医学},
 month = {Mar},
 note = {Purpose: To clarify the association between the coronavirus disease 2019 pandemic curve and Google Trends searchvolumes for the disease during the three major epidemic waves in Japan.
Method: Correlation between the number of cases of coronavirus disease 2019 in Japan and the internet search volumefor “corona” in the period 12th January 2020 to 19th February 2021 was evaluated using the open database providedby the Japan Broadcasting Corporation and Google Trends index data.
Results: The peak search volume for “corona” was highest during the first wave and lowest during the third wave.In contrast, the peak number of new cases per week was lowest during the first wave and highest during the thirdwave. The search volume and number of new cases per week showed strong correlations in each wave; however, thesearch volume in each wave decreased remarkably from the first to the third wave.
Conclusion: This study identified evidence of so-called “pandemic fatigue”, a habituation reaction against COVID-19,in Japan. Prolonged and repeated waves of the epidemic have made people less sensitive for preventing spread ofcoronavirus disease 2019. Sustained, clear communication will be required to elicit the cooperation of the population incontrolling the pandemic.},
 pages = {1--5},
 title = {Google Trends search volumes indicate habituation against COVID-19 in Japan},
 volume = {72},
 year = {2022}
}