Pulmonary Physician Consultancy in Emergency Services in Turkiye (PuPCEST) - a cross-sectional multicenter study.

Pulmonology is one of the branches that frequently receive consultation requests from the emergency department. Pulmonology consultation (PC) is requested from almost all clinical branches due to the diagnosis and treatment of any respiratory condition, preoperative evaluation, or postoperative pulmonary problems. The aim of our study was to describe the profile of the pulmonology consultations received from emergency departments in Turkiye. A total of 32 centers from Turkiye (the PuPCEST Study Group) were included to the study. The demographic, clinical, laboratory and radiological data of the consulted cases were examined. The final result of the consultation and the justification of the consultation by the consulting pulmonologist were recorded. We identified 1712 patients, 64% of which applied to the emergency department by themselves and 41.4% were women. Eighty-five percent of the patients had a previously diagnosed disease. Dyspnea was the reason for consultation in 34.7% of the cases. The leading radiological finding was consolidation (13%). Exacerbation of preexisting lung disease was present in 39% of patients. The most commonly established diagnoses by pulmonologists were chronic obstructive pulmonary disease (19%) and pneumonia (12%). While 35% of the patients were discharged, 35% were interned into the chest diseases ward. The majority of patients were hospitalized and treated conservatively. It may be suggested that most of the applications would be evaluated in the pulmonology outpatient clinic which may result in a decrease in emergency department visits/consultations. Thus, improvements in the reorganization of the pulmonology outpatient clinics and follow-up visits may positively contribute emergency admission rates.

Lung cancer detection based on computed tomography image using convolutional neural networks.

BACKGROUND: Lung cancer is the most common type of cancer, accounting for 12.8% of cancer cases worldwide. As initially non-specific symptoms occur, it is difficult to diagnose in the early stages. OBJECTIVE: Image processing techniques developed using machine learning methods have played a crucial role in the development of decision support systems. This study aimed to classify benign and malignant lung lesions with a deep learning approach and convolutional neural networks (CNNs). METHODS: The image dataset includes 4459 Computed tomography (CT) scans (benign, 2242; malignant, 2217). The research type was retrospective; the case-control analysis. A method based on GoogLeNet architecture, which is one of the deep learning approaches, was used to make maximum inference on images and minimize manual control. RESULTS: The dataset used to develop the CNNs model is included in the training (3567) and testing (892) datasets. The model's highest accuracy rate in the training phase was estimated as 0.98. According to accuracy, sensitivity, specificity, positive predictive value, and negative predictive values of testing data, the highest classification performance ratio was positive predictive value with 0.984. CONCLUSION: The deep learning methods are beneficial in the diagnosis and classification of lung cancer through computed tomography images.

Deep learning for diagnosis of malign pleural effusion on computed tomography images.

BACKGROUND: The pleura is a serous membrane that surrounds the lungs. The visceral surface secretes fluid into the serous cavity and the parietal surface ensures a regular absorption of this fluid. If this balance is disturbed, fluid accumulation occurs in the pleural space called "Pleural Effusion". Today, accurate diagnosis of pleural diseases is becoming more critical, as advances in treatment protocols have contributed positively to prognosis. Our aim is to perform computer-aided numerical analysis of Computed Tomography (CT) images from patients showing pleural effusion images on CT and to examine the prediction of malignant/benign distinction using deep learning by comparing with the cytology results. METHODS: The authors classified 408 CT images from 64 patients whose etiology of pleural effusion was investigated using the deep learning method. 378 of the images were used for the training of the system; 15 malignant and 15 benign CT images, which were not included in the training group, were used as the test. RESULTS: Among the 30 test images evaluated in the system; 14 of 15 malignant patients and 13 of 15 benign patients were estimated with correct diagnosis (PPD: 93.3%, NPD: 86.67%, Sensitivity: 87.5%, Specificity: 92.86%). CONCLUSION: Advances in computer-aided diagnostic analysis of CT images and obtaining a pre-diagnosis of pleural fluid may reduce the need for interventional procedures by guiding physicians about which patients may have malignancies. Thus, it is cost and time-saving in patient management, allowing earlier diagnosis and treatment.

Perceived Need for Mental Health Services Among Healthcare Workers During the Coronavirus Disease-19 Pandemic in Turkey: A Multicenter Cross-sectional Study

Background: The coronavirus disease-2019 pandemic has contributed to work-related psychosocial risks in healthcare workers. Aims: To evaluate the perceived need for mental health services and related factors in Turkish healthcare workers practicing in pandemic hospitals. Study Design: Cross-sectional study. Methods: Data were collected from face-to-face interviews with healthcare workers at 19 pandemic hospitals in 13 provinces between September and November 2021. The study survey included the evaluation of the perceived need for and utilization of mental health services in the previous year, as well as sociodemographic, health-related, and work-related characteristics, the General Health Questionnaire-12, the World Health Organization Quality of Life-BREF (WHOQoL-BREF) questionnaire, and the Fear of coronavirus disease-2019 scale (FCV-19S). Results: Of 1,556 participants, 522 (33.5%) reported a perceived need for mental health services, but only 133 (8.5%) reported receiving these services. Multiple logistic regression analysis of the perceived need for mental health services revealed significant relationships with lower age, female sex, being a current smoker, having a chronic disease, having a mental disorder, coronavirus disease-2019 contact within the last three months in settings other than the home or workplace, a positive coronavirus disease-2019 vaccination history, being a physician, being a non-physician healthcare professional, and coronavirus disease-2019 contact within the last three months at work. After adjustment for these characteristics, higher General Health Questionnaire-12 and FCV-19S scores and lower WHOQoL-BREF domain scores were related to the perceived need for mental health services in logistic regression analyses. Conclusion: The findings indicate a substantial need for mental health services amongst Turkish healthcare workers during the pandemic and outline participants' characteristics regarding high-priority groups for the intervention. Future research may focus on developing actions and evaluating their efficiency.

Caregiver Burden in Pulmonary Patients.

Caregiving has become an increasingly important medical and social issue in recent decades. We performed a cross-sectional study on pulmonary patients and accompanying informal caregivers who were hospitalized in the chest disease ward of a tertiary center in Turkey between January 2020 and April 2021. Informal caregivers were asked to complete the Zarit Caregiver Burden Interview. A total of 141 inpatients (39% female, mean age: 76.8 ± 10.2 years) and their informal caregivers (77% female, mean age: 54 ± 11.9 years) were evaluated. The caregivers were classified as light to medium burden (group 1, burden score ≤40) and medium to heavy burden (group 2, burden score >40). The mean burden score was 35.7 ± 13.3 points. The number of female caregivers was higher in group 2 (p = 0.025). There was a positive correlation between the burden score and female gender (p = 0.002) and the number of chronic diseases of caregivers (p = 0.020). Statistical analysis revealed a negative correlation between the burden score and the level of education (r = > -0.174, p = 0.040). Caregiver burden is related to the characteristics of the caregiver rather than those of the patient being cared for. Female caregivers with lower education and more than one chronic disease perceive a higher caregiver burden.

Deep learning for diagnosis of malign pleural effusion on computed tomography images

Abstract Background The pleura is a serous membrane that surrounds the lungs. The visceral surface secretes fluid into the serous cavity and the parietal surface ensures a regular absorption of this fluid. If this balance is disturbed, fluid accumulation occurs in the pleural space called "Pleural Effusion". Today, accurate diagnosis of pleural diseases is becoming more critical, as advances in treatment protocols have contributed positively to prognosis. Our aim is to perform computer-aided numerical analysis of Computed Tomography (CT) images from patients showing pleural effusion images on CT and to examine the prediction of malignant/benign distinction using deep learning by comparing with the cytology results. Methods The authors classified 408 CT images from 64 patients whose etiology of pleural effusion was investigated using the deep learning method. 378 of the images were used for the training of the system; 15 malignant and 15 benign CT images, which were not included in the training group, were used as the test. Results Among the 30 test images evaluated in the system; 14 of 15 malignant patients and 13 of 15 benign patients were estimated with correct diagnosis (PPD: 93.3%, NPD: 86.67%, Sensitivity: 87.5%, Specificity: 92.86%). Conclusion Advances in computer-aided diagnostic analysis of CT images and obtaining a pre-diagnosis of pleural fluid may reduce the need for interventional procedures by guiding physicians about which patients may have malignancies. Thus, it is cost and time-saving in patient management, allowing earlier diagnosis and treatment.

'COVID-Somnia' in healthcare workers during the pandemic.

OBJECTIVES: Sleep disorders associated with COVID-19 pandemic are termed as 'COVID-somnia.' In this study, we sought to assess the prevalence of COVID-somnia in healthcare workers, establish the factors that trigger this condition, and to investigate its relationship with anxiety and depression symptoms. METHODS: This cross-sectional study was conducted between April 2021 and June 2021, and it included healthcare workers who served during the pandemic. Participants' demographic data, Beck Depression and Anxiety Inventories, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), and Insomnia Severity Index (ISI) were used, and the results were statistically analyzed. Multiple analyses of factors affecting ESS and ISI scores were evaluated using binary logistic regression model and PSQI score were analyzed using a multiple linear regression model. RESULTS: A total of 1,111 healthcare workers who served during the pandemic voluntarily enrolled to the study. The mean age was 37.3 ± 8.48 years, and 63.5% were females. Our study showed that the healthcare workers, evaluated with the PSQI, experienced a deterioration of sleep quality. Primary factors affecting this are working on the front line, the presence of chronic diseases, depression, and anxiety. Regression analyses identified depression and anxiety as the common factors affecting ESS, ISI, and PSQI scores. CONCLUSION: Raising awareness regarding COVID-somnia among healthcare workers, who play a leading role in curbing the pandemic, would reduce sleep disturbances, depression, and anxiety. It would also contribute to the planning and implementation of preventive and therapeutic mental health programs with a multidisciplinary approach.

Turkish Thoracic Society Early Career Members Task Force Group's Virtual Congress Notes: European Respiratory Society International Congress 2020.

In this article, Early Career Task Force Group members of the Turkish Thoracic Society summarize the European Respiratory Society 2020 virtual congress. Current developments in the field of respiratory diseases were compiled with the addition of sessions specific to coronavirus disease 2019 this year. Almost all of the congress sessions were examined, and the important and striking results of the congress were highlighted. Congress sessions were attended by expert researchers, and the prominent messages of each session were highlighted in short summaries. They were then grouped under relevant titles and ranked in order of meaning and relation. It was finalized by a team of researchers.

Frequency of Direct Oral Anticoagulants Usage in Acute Pulmonary Thromboembolism Treatment in Turkey (TUPEDO).

Background: Direct oral anticoagulants (DOACs) have been used in acute pulmonary thromboembolism as an alternative to warfarin due to drug interactions, narrow therapeutic range, and necessary close International Normalized Ratio (INR) monitoring. Phase 3 study results have reported that these drugs are at least as effective as warfarin and beneficial in terms of bleeding; however, studies that present up-to-date life data are necessary. Aims: To evaluate the frequency of using DOACs, which are prescribed with a limited number of indications in our country, and real-life data results. Study Design: Cross-sectional study. Methods: This cross-sectional survey collected the clinical data (history, current treatment, treatment duration, etc.) of patients with pulmonary thromboembolism and who applied to the physician for follow-up between October 15, 2019, and March 15, 2020. The researchers kept the patient records sequentially. Results: Data from 836 patients with acute pulmonary thromboembolism from 25 centers were collected, and DOAC was used in 320 (38.5%) of them. The most preferred DOAC was rivaroxaban (n = 294, 91.9%). DOAC was mostly preferred because it could not provide an effective INR level with warfarin (n=133, 41.6%). Bleeding was observed in 13 (4%) patients. Conclusion: The use of direct oral anticoagulants is becoming almost as widespread as conventional therapy. Real-life data results are important for their contribution to clinical practice.

Evaluation of Thiol/Disulfide Homeostasis in Bronchiectasis.

PURPOSE: Thiols are sulfhydryl-containing organic compounds that have an important role in preventing cellular oxidative stress. This study compares the blood oxidative stress marker levels in bronchiectasis cases during their stable periods with healthy controls. MATERIALS AND METHODS: Seventy-seven patients (49 patients with stable bronchiectasis/28 healthy controls), followed up by the chest disease clinic, were included in the study. Peripheral blood thiol-disulfide parameters (NT: native thiol (-SH); TT: total thiol (-SH + SS); SS: disulfide (-SS); SS-SH: disulfide/native thiol index; SS-TT: disulphide/total thiol index; SH-TT: native thiol/total thiol index), and ischemia-modified albumin (IMA) levels were examined in the stable bronchiectasis group and the control group. Thiol-disulfide homeostasis was evaluated using a novel and automated assay. Findings and Result. Blood native thiol levels in patients with stable bronchiectasis were found to be significantly higher compared with healthy controls. A positive correlation between the total airway disease score and IMA levels was present. Our findings revealed that native thiol levels, which constitute a part of the antioxidant defense system, are increased in patients with stable bronchiectasis.

Distant Metastasis Patterns of Lung Cancer on Positron Emission Tomography/Computed Tomography Association with Age and Histological Subtype.

OBJECTIVE: To investigate whether age or other factors are determinants of distant metastasis in patients with lung cancer. STUDY DESIGN: Observational study. PLACE AND DURATION OF STUDY: Department of Nuclear Medicine, Recep Tayyip Erdogan University, Rize, Turkey between December, 2018 and February, 2019. METHODOLOGY: A total of 152 patients with lung cancer, who underwent positron emission tomography/computed tomography (PET/CT) for staging, were included in this study. Patients were grouped according to age (>65 and <65 years) and distant metastasis status. Metastasis localisation of patients was evaluated by PET/CT. Univariate/multivariate regression analyses were performed to determine risk factors for distant metastasis. RESULTS: No significant difference was found when the relation of distant metastasis with stage distribution was examined in both age groups. Distant metastasis rates were significantly higher in female patients than in male patients (p = 0.019) and in patients with small-cell lung carcinoma (SCLC)-adenocarcinoma than in those with other histopathological subtypes (p <0.001). Most of the patients in both groups had a stage 4 disease, and bone distant metastasis was the most common in both age groups. Univariate/multivariate analyses identified that female gender (p = 0.017/p = 0.003), SCLC subtype (p = 0.013/p = 0.008), T3/T4 tumour (p <0.001/p <0.001), and smoking history of >66 pack-years (p = 0.047/p = 0.047) were independent factors for the presence of distant metastasis. CONCLUSION: Although age is not a risk factor for distant metastasis in lung cancer, female gender, T3/4 tumour, SCLC subtype, and smoking history of >66 pack-years are high-risk factors. PET/CT is recommended as the first-choice imaging technique in patients with lung cancer indicated for distant metastasis scanning. Key Word: Lung cancer, PET/CT, Metastases, Histological subtype, T-stage.

Thyroid Gland Disease as a Comorbid Condition in COPD.

INTRODUCTION: Chronic obstructive pulmonary disease (COPD) is one of the most common causes of morbidity and mortality worldwide. The disease is characterized by progressive airway inflammation, which not only affects the airways but also has systemic effects that are associated with comorbidities. Although comorbid conditions such as hypertension and coronary artery disease are very well-known in COPD patients, diseases of the thyroid gland have not been sufficiently studied. Therefore, thyroid diseases are not considered among the comorbid conditions of COPD. The purpose of this study was to determine the thyroid gland disease (TGD) prevalence in COPD and associated factors. Materials and Method. The study included 309 (297 (96%) male) patients. The patients were subjected to spirometry and thyroid function tests (TFT) in the stable period. The thyroid gland disease they were diagnosed with was recorded after face-to-face meetings and examining their files. RESULTS: The mean age of the patients who were included in the study was 65.9 ± 9.8 (40-90). Thyroid disease was determined in 68 (22%) individuals. There were hypothyroidism in 7 (2%), euthyroidism in 45 (15%), and hyperthyroidism in 16 (%5) patients. No relationship was found between the severity of airflow limitation and the prevalence of TGD. CONCLUSION: Thyroid abnormalities are commonly observed in COPD. The most frequently encountered TGDs are euthyroid multinodular goiter, euthyroid sick syndrome (ESS), and toxic multinodular goiter.

Artificial intelligence applications in pulmonology and its advantages during the pandemic period.

Artificial intelligence, with its increasing data volume, developing technologies, more information processing power and new algorithms, has a wide usage area in all sectors. In the field of health, these technologies is gaining an increasing place every day. Artificial intelligence methods can act as a simulation of the human mind and intelligence, resulting in the analysis and classification of complex data in a short time. Thus, by separating the small differences in the images examined, it can help diagnosis, detect preliminary signs of the disease and predict how the disease will develop. Computer based programs; diagnostic algorithms, surgical support and robotic systems developed on the basis of patient data are increasingly used in the drug development industry. In this study, artificial intelligence applications in the field of health and its use in pulmonology, the place of wearable technologies in our department and the advantages they provide us during the pandemic period were discussed in the light of the literature.

The Role of Hematological Inflammatory Biomarkers in the Diagnosis of Lung Cancer and in Predicting TNM Stage.

OBJECTIVE: The aim of study is to investigate whether hematological inflammatory biomarkers could be useful to detect patients with lung cancer. METHODS: The contribution of hematological biomarkers to the diagnosis of lung cancer and prediction of TNM was examined. RESULTS: NLR, PLR, MPV values were found to be higher in patients with lung cancer (all p < .001). NLR and PLR were found to be high, MPV was found to be lower in disease of advanced stage (p < .001). CONCLUSIONS: This study found that NLR, PLR and MPV values were significantly higher in patients with lung cancer.

The Relationship between COVID-19 Severity and Bacillus Calmette-Guérin (BCG)/ Mycobacterium tuberculosis exposure history in healthcare workers: a multi-center study.

The COVID-19 pandemic has brought countries' health services into sharp focus. It was drawn to our group's attention that healthcare workers (HCWs) had a lower mortality rate against higher COVID-19 incidence compared to the general population in Turkey. Since risk of exposure to tuberculosis bacillus among healthcare workers are higher than the population, we aimed to investigate if there is a relationship between BCG and Mycobacterium tuberculosis exposure history with COVID-19 severity in infected HCWs. This study was conducted with 465 infected HCWs from thirty-three hospitals to assess the relationship between COVID-19 severity (according to their hospitalization status and the presence of radiological pneumonia) and BCG and Mycobacterium tuberculosis exposure history. HCWs who required hospital admission had significantly higher rates of chronic diseases, radiological pneumonia, and longer working hours in the clinics. Higher rates of history of contact and care to tuberculosis patients, history of tuberculosis, and BCG vaccine were observed in hospitalized HCWs. HCWs who had radiological pneumonia had a significantly increased ratio of history of care to tuberculosis patients and a higher family history of tuberculosis. The findings from our study suggest that the lower mortality rate despite the more severe disease course seen in infected HCWs might be due to frequent exposure to tuberculosis bacillus and the mortality-reducing effects of the BCG vaccine.

Rate of History of Tuberculosis Among Healthcare Workers in Turkey: A Cross-Sectional Study.

OBJECTIVES: Healthcare workers (HCWs) possess a high risk for both latent tuberculosis infection (LTBI) and active disease. This study aimed to investigate tuberculosis (TB) disease history in hospital staff working in healthcare institutions in the Eastern Black Sea Region of Turkey. MATERIAL AND METHODS: This study included 460 HCWs employed in 5 hospitals in the Eastern Black Sea Region of Turkey. Between May 01 and July 31, 2016, the participants were asked to answer a questionnaire, including data about TB history. The data about family TB history, Bacilli Calmette-Guerin (BCG) vaccination, or tuberculin skin test (TST) application before starting work were also evaluated. RESULTS: Of the 460 participants, 69.3% were women (n=319) and 30.7% (n=141) were men. The mean age was 32 (17-63) years. A total of 8 participants (1.7 %) had TB history. There was no statistically significant relationship between TB history and age, sex, body mass index (BMI), smoking habits, or presence of comorbidities (p>0.05 for all variables); family history of TB (p<0.001) and TST positivity (p<0.001) were significantly higher in participants with a TB history. Each participant was checked for the presence of both BCG scar and TST positivity. No difference was noted between positive TB history and negative HCWs (p>0.05). The duration of work (years) was higher in participants with a TB history. The p value was very close but did not reach the limits of significance (p=0.059). CONCLUSION: In this study, the rate of TB among HCWs was 1.7% (8 of 460 HCWs). Family history of TB and TST positivity are strong predictors of TB in HCWs.

Weight Loss as the First-Line Therapy in Patients with Severe Obesity and Obstructive Sleep Apnea Syndrome: the Role of Laparoscopic Sleeve Gastrectomy.

PURPOSE: The objective of this study is to investigate the effects of laparoscopic sleeve gastrectomy (LSG) on the polysomnographic parameters related to OSAS. MATERIALS AND METHODS: We conducted this 3-year prospective cohort study in a tertiary care center between December 2016 and December 2019. In total, we enrolled 31 patients with severe obesity who underwent full-night polysomnography (PSG) before LSG. Later, the patients were re-evaluated by full-night PSG 12 months after the surgery. RESULTS: The mean age of the patients was 44.1 ± 9.6 years. The mean body mass index (BMI) decreased significantly from a mean value of 49.8 ± 8.5 kg/m2 at baseline to 33.2 ± 8.2 kg/m2 and a percent BMI (%BMI) reduction of 33.8 ± 10.4% and a percent total weight loss (%TWL) of 35.4 ± 10.8% was achieved on the same day of the postsurgical PSG (p < 0.001). There was a remarkable improvement in the AHI (baseline: 36.1 ± 27.1, 12 months after the surgery: 10.3 ± 11.8; difference: 25.8 ± 22.8 events per hour) (p < 0.001). Importantly, there was a decrease in the percentage of non-rapid eye movement (NREM) 2 (p < 0.001), whereas NREM 3 and REM stages witnessed a significant increase (p = 0.001 and p < 0.001, respectively) after the surgery. CONCLUSION: The results of this study showed that weight loss after LSG yields improvement not only in AHI but also in many polysomnographic parameters such as sleep quality and desaturation indices.

Effect of coronaphobia on smoking habits.

INTRODUCTION AND OBJECTIVE: Coronavirus disease 2019 (COVID-19) epidemic had exhibited negative effects on patients with a nicotine use disorder because of social stress situations. The objective of this study is to investigate the changes that occurred in the smoking habits of the patients who applied to our smoking cessation clinic because of the COVID-19 outbreak's effect (coronaphobia) on their mental health. METHOD: In this study, we included the patients who applied to our smoking cessation clinic between January 1 and June 30, 2020. We conducted telephonic and face-to-face interviews with the patients during the outbreak, and inquired about the changes in their smoking habits. RESULTS: In total, 114 volunteers (mean age: 41.2 years [min-max: 18-82 years], M/F: 70/44 [61.4/38.6%]) who registered in the smoking cessation clinic of Chest Diseases Clinic were included in the study. The number of people with and without coronaphobia was 64 (56.1%) and 50 (43.9%), respectively. The analyses of the changes in smoking behaviors because of coronaphobia demonstrated that people with coronaphobia exhibited a significantly higher decrease or cessation of smoking as compared to no change in smoking behavior or increase in the number of cigarettes (p: .006). CONCLUSIONS: Success in smoking cessation can be increased with the accurate analyses of the anxiety effects caused by coronaphobia after COVID-19 outbreak on the desire of smoking cessation. This resolution depends on the solution-oriented strategies that will increase the awareness of physicians and patients, a close follow-up of patients with tools such as telemedicine, and a quick determination of their needs.

The value of the platelet count and platelet indices in differentiation of COVID-19 and influenza pneumonia.

It is difficult to distinguish coronavirus disease-2019 (COVID-19) from other viral respiratory tract infections owing to the similarities in clinical and radiological findings. This study aims to determine the clinical importance of platelet count and platelet indices in the differentiation of COVID-19 from influenza and the value of these parameters in the differential diagnosis of COVID-19. The medical records of the patients and the electronic patient monitoring system were retrospectively analyzed. Demographic characteristics, admission symptoms, laboratory findings, radiological involvement, comorbidities, and mortality of the patients were recorded. Forty-three patients diagnosed with influenza and 54 diagnosed with COVID-19 were included in the study. The average age of the COVID-19 patients was lower than that of the influenza patients (influenza: 60.5 years, COVID-19: 52.4 years; pp = 0.024),.024), and the male gender was predominant in the COVID-19 group (influenza: 42%, COVID-19: 56%). According to laboratory findings, the mean platelet volume (MPV) and MPV/platelet ratio were statistically significantly lower, whereas the eosinophil count and platelet distribution width levels were significantly higher (p < 0.05) in the COVID-19 group. It was found that the most common symptom in both groups was dyspnea and that the symptom was more prevalent among influenza patients. In the diagnosis of COVID-19, the platelet count and platelet indices are easily accessible, inexpensive, and important parameters in terms of differential diagnosis and can help in the differentiation of COVID-19 from influenza during seasonal outbreaks of the latter.