National data on asthma characteristics and the factors associated with uncontrolled asthma seem to be necessary for every country. For this purpose, we developed the Turkish Adult Asthma Registry ...

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. We found time-varying correlations between pulmonary symptoms on GT and new cases to be significant. The DCC model proved more powerful than the sliding windows correlation model. This model also provided better at time-varying correlations (r ≥ 0.90) during the first wave of the pandemic. We used a root means square error (RMSE) approach to attain symptom-specific shift days and showed that pulmonary symptom searches on GT should be shifted separately. Web-based search interest for pulmonary symptoms of COVID-19 is a reliable predictor of later reported cases for the first wave of the COVID-19 pandemic. Illness-specific symptom search interest on GT can be used to alert the healthcare system to prepare and allocate resources needed ahead of time.

Introduction: Coronavirus disease 2019 (COVID-19) and tuberculosis are serious and mortal diseases worldwide. There are few studies about the association between tuberculosis and COVID-19 pneumonia. We aimed to describe the characteristics of tuberculosis and COVID-19 co-infection cases in light of the literature. Materials and Methods: Tuberculosis patients who applied to the tuberculosis outpatient clinic between September 1-September 30, 2020, and patients hospitalized in the COVID-19 service between June 1- September 30, 2020, were retrospectively screened. Patients with tuberculosis and COVID-19 co-infection were recorded. Clinical, radiological, laboratory data, and treatments were recorded and analyzed. For the diagnosis of tuberculosis, sputum acid-resistant bacillus (ARB) smear or culture positivity or pathological diagnosis were used. For the diagnosis of COVID-19, positive real-time reverse transcription-polymerase chain reaction and/or typical radiological findings were sought. Results: Seven hundred and fifty-one patients' data at the tuberculosis outpatient clinic, 229 patients' data at the COVID-19 clinic were screened. Sixteen patients meet the criteria. COVID-19 infection rate in tuberculosis patients was 2.1%. Sixty-nine percent of the patients had received COVID-19 disease during diagnosis or initial tuberculosis treatment phase. There were no drug-drug interactions between anti-tuberculosis drugs and COVID-19 treatment. During the COVID-19 treatment, one patient (6%) died, 15 (94%) patients completed the treatment. Conclusion: In our study, no effect of the coexistence of TB and COVID-19 on morbidity or mortality was observed. Although the number of patients is small, it can be said that patients with early TB disease and with widespread involvement may be riskier for COVID-19 infection. Frequent hospital visits by TB patients may be a risk for COVID-19. It may be beneficial to carry out the diagnosis and treatment of tuberculosis patients by tuberculosis dispensaries as in our country or authorized units to reduce the risk of hospital admissions and COVID-19 transmission.

Electronic cigarettes,heated tobacco products,tobacco addiction

Introduction: Many studies have shown that training in smoking cessation care (SCC) is important for increasing the number and quality of delivered interventions by health professionals, and various training methods are available. The study aimed to identify the relationship between receiving...

Bronchiectasis,Bronchiectasis severity index,Radiology,Reiff's score,vitamin D deficiency