Changes in the Number of Newly Diagnosed Lung Cancer Patients Before and During the COVID-19 Pandemic: A Single-Center Experience.

Objective: The coronavirus disease-2019 pandemic has affected the entire health system and patients other than coronavirus-infected patients. Hospital admissions of cancer patients decreased during the closure periods due to the pandemic. This study was conducted to determine whether there was an effect on the hospital admissions of newly diagnosed lung cancer patients in Turkey during the corona- virus disease-2019 pandemic.

The relationship between Google search interest for pulmonary symptoms and COVID-19 cases using dynamic conditional correlation analysis.

This study aims to evaluate the monitoring and predictive value of web-based symptoms (fever, cough, dyspnea) searches for COVID-19 spread. Daily search interests from Turkey, Italy, Spain, France, and the United Kingdom were obtained from Google Trends (GT) between January 1, 2020, and August 31, 2020. In addition to conventional correlational models, we studied the time-varying correlation between GT search and new case reports; we used dynamic conditional correlation (DCC) and sliding windows correlation models.