Determining the interest in pain and analgesic during and before the covid-19 pandemic period using google trends data: an infodemiological study

Background: The aim of this study is to evaluate the public's interest in pain and painkillers using Google search activity countries with most cases before during COVID-19 pandemic (January 2018 - December 2021).
 Methods: United States (USA), England, France, Germany, Italy, India, Spain, Russia, Brazil Turkey, which are where Covid 19 epidemic was intense, were determined along world for analysis. words "Back pain", "Chest "Headache", "Knee "Sore throat", "Aspirin", "Ibufren" "Paracetamol" written into Trend engine. RapidMiner Analysis program Microsoft Excel used statistical analysis data. Correlation tests determine strength relationship between regions drugs.
 Results: terms fo "ibuprofen", "aspirin", "paracetamol" peaked searches on March 15, 2020. frequencies sore throat, chest pain, headache worldwide 2020 22, strong correlations obtained, ranging from 0.627 0.901 terms, 0.629 0.749 ibuprofen paracetamol terms. 
 Conclusion: As a result research, it seen that frequency searching analgesics has increased significantly period. Our data can be considered as an indicative increasing incidence pandemic, since internet proxy public good.