Google trend verilerini kullanarak covid-19 pandemi döneminde ve öncesinde ağrı ve analjeziklere olan ilginin belirlenmesi: infodemiyolojik bir çalışma

Abstract

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