Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Aydin Sayilan, Aylin(3)
- Kulakaç, Nurşen(3)
- Uzun, Sevda(3)
- Aktug, Cemile(2)
- Bahadir, Erdi(2)
- Hintistan, Sevilay(2)
- Kulakac, Nursen(2)
- Kulakaç, Nursen(2)
- Ulutasdemir, Nilgun(2)
- Ak, Mehmet(1)
- Akbas, Turkay(1)
- Akbiyik, Meral(1)
- Albayrak, Sevil(1)
- Albayrak, Tuna(1)
- Algedik, Pinar(1)
- Alpdog, Ozcan(1)
- Aslan, Ramazan(1)
- Aydin, Aydanur(1)
- Aydin, Aykut(1)
- Aydin, Kaniye(1)
- Aydin, Merve(1)
- Barut, Abdulkadir(1)
- Bayrak, Nurten Gülsüm(1)
- Bayrak, Vecihe(1)
- Bayraktar, Yuksel(1)
- Bilge, Aysegul(1)
- Binay, Songul(1)
- Bostanci, Ozgur(1)
- Büyükakin, Figen(1)
- Büyüktarakçi, Seda(1)
- Catal Reis, Hatice(1)
- Celik, Isa(1)
- Cengiz, Burcu(1)
- Cicen, Yildirim Beyazit(1)
- Dal, Hayriye Cankar(1)
- Demir Doğan, Melike(1)
- Demirağ, Hatice(1)
- Demirbag, Kubra Simsek(1)
- Demirbağ, Kübra Şimşek(1)
- Demirtas, Furkan(1)
Yayınlar
- MakaleAçık Erişim2022Scopus SJRQ2Determining the musculoskeletal problems of academicians who transitioned to distance education during the COVID-19 pandemic
Yorulmaz, Deniz S.; Karadeniz, Havva; Duran, Seçil; Çelik, İsa
BACKGROUND: Musculoskeletal disorders are a significant public health issue that negatively affects individuals and society both socially and economically, and increases the cost of care and cure. OBJECTIVE: This study aimed to determine the musculoskeletal problems and risk factors of academicians who transitioned to provide distance education during the COVID-19 pandemic. METHODS: The population of this descriptive cross-sectional study included academicians who worked in two public universities in Turkey. Ethical committee approval and institutional permissions were obtained between 1 and 28 February 2021. Data were collected using a personal information form, the Work Environment Evaluation Questionnaire, and the Musculoskeletal Pain Intensity Assessment Questionnaire. The data were analyzed using the number, percentage, independent group t-test, ANOVA test, and linear regression analysis (forward method). The analysis was interpreted at the 95% confidence level and 0.05 error margin. RESULTS: Of the academicians, 78% were women, 54.6% were married, 80.6% did not regularly exercise, and 73.5% had more workload during the distance education period. Academicians mostly experienced discomfort about their eyes, necks, and waists, and an increase at a significant level was detected in their musculoskeletal system problems during the distance education period. Increasing workload, duration of mobile phone use, active time, having an ergonomic chair, and gender predicted the musculoskeletal system pain intensity by 20%. CONCLUSION: Musculoskeletal system problems are a significant public health issue. Academicians should be informed and consulted for the protection of musculoskeletal system health during the distance education period.
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İncele - MakaleAçık Erişim2022Scopus SJRQ2The effect of the COVID-19 pandemic on the professional perception and image of nursing among nurses working in surgical units: An online study
Sayilan, Aylin Aydin; Kulakac, Nursen
BACKGROUND: Understanding the effects of the COVID-19 pandemic on the perception and image of the profession are key factors in nurses' perceptions regarding their roles and their future. OBJECTIVE: The purpose of this study was to determine the effect of the COVID-19 pandemic on the perception and image of the nursing profession among nurses working in surgical units. METHODS: This cross-sectional, correlational study was conducted with 216 nurses using the random sampling method between 10 and 30 March, 2022. The study data were collected using an information form, the Perception of Nursing Professional Scale (PNPS), and the Scale for the Image of the Nursing Profession. RESULTS: The nurses' mean age was 32.53±9.16 years (min 21, max 57) and their mean professional experience was 16.44±9.80 years (min 1, max 44). The mean PNPS score was 73.12±9.46, and the mean Scale for the Image of the Nursing Profession score was 171.11±11.16. Female nurses had significantly higher positive perceptions of nursing levels than male nurses. Gender, having a history of COVID-19, marginalization during the pandemic, and perception of the nursing profession significantly affected image perceptions of nursing at multiple linear regression analysis. These variables explained 43% of the total variance. CONCLUSION: Nurses working in surgical units during the COVID-19 pandemic exhibited a good level of professionalism and image perception concerning nursing.
AtıfScopus4OpenAlex2İncele - MakaleAçık Erişim2022Automatic prediction of covid-19 from chest-computed tomography (CT) images using deep learning architectures; [Derin öğrenme mimarilerini kullanarak göğüs BT görüntülerinden otomatik Covid-19 tahmini]
Turk, Veysel; Catal Reis, Hatice; Kaya, Serhat
Machine learning has been actively used in disease detection and segmentation in recent years. For the last few years, the world has been coping with the Coronavirus disease 2019 (COVID-19) pandemic. Chest-computerized tomography (CT) is often a meaningful way to detect and detect patients with possible COVID-19. This study aims to classify COVID-19 and non-COVID-19 chest-CT images using deep learning (DL) algorithms and investigate whether we can achieve successful results in different parameters using four architectures. The study was performed on proved positive COVID-19 CT images, and the datasets were obtained from the GitHub public platform. The study evaluated four different deep learning architectures of VGG16, VGG19, LeNet-5, and MobileNet. The performance evaluations were used with ROC curve, recall, accuracy, F1-score, precision, and Root Mean Square Error (RMSE). MobileNet model showed the best result ; F1 score of 95%, the accuracy of 95%, the precision of 100%, recall of 90%, AUC of 95%, and RMSE of 0.23. On the other hand, VGG 19 model gave the lowest performance; F1 score of 90%, the accuracy of 89%, the precision of 90%, recall of 90%, AUC of 89%, and RMSE of 0.32. When the algorithms' performances were compared, the highest accuracy was obtained from MobileNet, LeNet-5, VGG16, and VGG19, respectively. This study has proven the usefulness of deep learning models to detect COVID-19 in chest-CT images based on the proposed model framework. Therefore, it can contribute to the literature in Medical and Engineering in COVID-19 detection research.
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İncele - MakaleYalnız künye2022Scopus SJRQ1The associations between metacognition problems, childhood trauma and internalizing symptoms in healthcare workers working directly with patients infected with COVID-19
Sen Demirdogen, Ezgi; Algedik, Pinar; Warikoo, Nishchint; Bahadir, Erdi; Akbiyik, Meral; Büyüktarakçi, Seda; Kadak, Muhammed Tayyip; Yavuz, Mesut
Healthcare workers (HCWs) providing medical support while facing one of the highest levels of adverse and potentially fatal outcomes due to COVID-19 are put in a vulnerable position leading to the development of mental health problems. The development of any prevention and intervention programs to reduce this risk is possible with better understanding and knowledge of possible vulnerability factors. The aim of the present study is to investigate psychological effect of working directly with patients infected with COVID-19 (WD) and possible individual vulnerability factors for the development of psychological problems in HCWs. The data used in this cross-sectional study were collected using online self-reported questionnaires from 290 HCWs aged 21-61 years old. The mean score of the scales of 145 HCWs-WD and 145 HCWs not WD (HCWs-NWD) were compared by independent sample t test. Associations between childhood traumas, metacognitive dysfunctional beliefs and internalizing symptoms were analyzed using structural equation modelling (SEM). The depression, anxiety, stress symptoms levels, somatization and sleep problem levels were found to be higher in HCWs-WD compared to HCWs-NWD. SEM revealed that childhood trauma levels was associated with the increased risk of internalizing problems, and metacognitive dysfunctional beliefs had a partial mediator role between childhood traumas and internalizing symptoms in HCWs-WD. Improving metacognitive abilities may hence need to be considered in prevention programs for the HCWs. The findings can also be used to set up further research on the specific interventions on the HCWs who are at a risk as their profession entails them being in such traumatic situations.
AtıfWoS1OpenAlex2İncele - MakaleAçık Erişim2021Financial Stress and Buffer Effects of Trust in Policies in Business Life During the COVID-19 Pandemic
Günay, Hamdi Furkan
This study aimed to investigate the determinants of financial stress experienced in working life during the COVID-19 pandemic process in Turkey, and also the role of the confidence placed for the government pandemic action policies in reducing financial stress. For this purpose, online survey data obtained from 414 employees were analyzed with multivariate statistical methods. As a result of the analysis, the significant effect of job insecurity and pay satisfaction on financial stress was determined. Although it was found that trust in the policies against pandemics was effective in reducing financial stress, a significant moderating effect of trust in policies was not found in the relationship of other factors with financial stress. It is recommended to prevent practices that may cause revenue and employment losses in businesses and closely monitor the steps taken to inhibit abuse in this area accordingly.
AtıfWoS2OpenAlex4TR Dizin1İncele - MakaleYalnız künye2021Scopus SJRQ3FEAR, ANXIETY, BURNOUT, AND INSOMNIA LEVELS OF HEALTHCARE WORKERS DURING COVID-19 PANDEMIC IN TURKEY
Yilmaz, Yavuz; Erdogan, Ali; Bahadir, Erdi
Background: This study aims to assess fear, anxiety, anxiety sensitivity, burnout, and insomnia of healthcare workers (HCWs) during novel coronavirus-2019 (COVID-19) outbreak and to identify their relation to sociodemographic and clinical characteristics. Subjects and methods: Totally 600 HCWs were included in this cross-sectional study. A Sociodemographic Data Form, Coronavirus Anxiety Scale (CAS), Fear of COVID-19 Scale (FCV-19S), Anxiety Sensitivity Index-3 (ASI-3), Maslach Burnout Inventory (MBI), and Insomnia Severity Index (ISI) were used. Results: Of participants, 364 were females and 236 were males with a mean age of 33.49 +/- 7.29 years. About 95.3% of HCWs had a fear of infecting their loved ones. Mean MBI and ISI scores were significantly higher among HCWs working in COVID-19 clinics and intensive care units (p=0.000; p=0.039). Mean CAS, FCV-19S, MBI, and ISI scores were significantly higher in women than men (p=0.000; p=0.000; p=0.027; p=0.005). Mean CAS and ISI scores were significantly higher among nurses (p=0.008; p=0.004), while mean ASI-3 of the other HCWs and MBI scores of physicians were significantly higher (p=0.009; p=0.000). Conclusion: The COVID-19 pandemic is a major health issue associated with psychiatric illnesses in HCW subgroups with distinct sociodemographic characteristics. It is of utmost importance to develop individualized preventive and therapeutic psychiatric services for HCWs.
AtıfWoS14İncele - MakaleAçık Erişim2021Scopus SJRQ3Upper extremity arterial thromboembolism in a patient with severe COVID-19 pneumonia: A case report
Bilge, Aysegul; Karasoy, Ismail; Neziroglu, Elif; Güner, Yesim
Although novel coronavirus-2019 (COVID-19) primarily affects the respiratory system, it can affect multiple organ systems, leading to serious complications, such as acute respiratory distress syndrome (ARDS) and multiple organ failure. Nearly 20 to 55% of patients with COVID-19 experience coagulation disorders that cause high mortality in line with the severity of the clinical picture. Thromboembolism can be observed in both venous and arterial systems. The vast majority of thromboembolic events are associated with the venous system and are often observed as pulmonary embolism. Arterial thromboembolisms often involve the arteries in the lower extremities, followed by those in the upper extremities. Herein, we report a rare case of COVID-19 pneumonia whose left arm was amputated at the forearm level after arterial thromboembolism in the left upper extremity. This case report is valuable, as it is the first reported case of upper extremity arterial thromboembolism in Turkey, as well as the only case in the literature in which the patient underwent four surgical interventions and is still alive.
AtıfWoS2OpenAlex3İncele - MakaleYayıncıda açık erişim2021Scopus SJRQ1Factors affecting nurses' professional commitment during the COVID-19 pandemic: A cross-sectional study
Duran, Secil; Celik, Isa; Ertugrul, Bekir; Ok, Serife; Albayrak, Sevil
Aim: This study aims to investigate the factors affecting nurses' professional commitment during the COVID-19 pandemic. Background: Commitment to a profession requires doing the best for that profession. In the case of the nursing profession, professional commitment gains greater importance in times of crisis, like the COVID-19 pandemic. Methods: This cross-sectional study was conducted with 389 nurses in the Turkish state hospital. Institutional permissions, ethical approval and written consents from the participants were obtained before carrying out the study. Results: The participants’ mean Perceived Organizational Obstruction Scale score was 20.07 ± 8.06 (min = 5.0, max = 35.0), and their mean Nursing Professional Commitment Scale score was 71.20 ± 11.94 (min = 30.0, max = 103.0). Socio-demographic variables and perception of organisational obstruction predicted 36.7% of the variance in the professional commitment (p <.001). Conclusion: A road map based on the study results was developed for hospitals and nurse managers to maintain and increase nurses' professional commitment. Implications for Nursing Management: The results of this study may help institutions and nurse managers understand the factors affecting professional commitment during the pandemic as a whole, as well as determine primary strategies based on the importance of these factors.
AtıfScopus69WoS55OpenAlex88İncele - MakaleAçık Erişim2021Scopus SJRQ1Diagnosis of COVID-19 and non-COVID-19 patients by classifying only a single cough sound
Melek, Mesut
In the last month of 2019, a new virus emerged in China, spreading rapidly and affecting the whole world. This virus, which is called corona, is the most contagious type of virus that humanity has ever encountered. The virus has caused a huge crisis worldwide as it leads to severe infections and eventually death in humans. On March 11, 2020, it was announced by the World Health Organization that a COVID-19 outbreak has occurred. Computer-aided digital technologies, which eliminate many problems and provide convenience in people's lives, did not leave humanity alone in this regard and rushed to provide a solution for this unfortunate event. One of the important aspects in which computer-aided digital technologies can be effective is the diagnosis of the disease. Reverse transcription-polymerase chain reaction (RT-PCR), which is a standard and precise technique for diagnosing the disease, is an expensive and time-consuming method. Moreover, its availability is not the same all over the world. For this reason, it can be very attractive and important to distinguish the COVID-19 disease from a cold or flu through a cough sound analysis via smartphones which have entered into the lives of many people in recent years. In this study, we proposed a machine learning-based system to distinguish patients with COVID-19 from non-COVID-19 patients by analyzing only a single cough sound. Two different data sets were used, one accessible for the public and the other available on request. After combining the data sets, the features were obtained from the cough sounds using the mel-frequency cepstral coefficients (MFCCs) method, and then, they were classified with seven different machine learning classifiers. To determine the optimum values of hyperparameters for MFCCs and classifiers, the leave-one-out cross-validation (LOO-CV) strategy was implemented. Based on the results, the k-nearest neighbors classifier based on the Euclidean distance (kNN Euclidean) with the accuracy rate, sensitivity of COVID-19, sensitivity of non-COVID-19, F-measure, and area under the ROC curve (AUC) of 0.9833, 1.0000, 0.9720, 0.9799, and 0.9860, respectively, is more successful than other classifiers. Finally, the best and most effective features were determined for each classifier using the sequential forward selection (SFS) method. According to the results, the proposed system is excellent compared with similar studies in the literature and can be easily used in smartphones and facilitate the diagnosis of COVID-19 patients. In addition, since the used data set includes reflex and unconscious coughs, the results showed that conscious or unconscious coughing has no effect on the diagnosis of COVID-19 patients based on the cough sound.
AtıfScopus38WoS26OpenAlex45İncele - Derleme MakaleAçık Erişim2021COVID-19 vaccine and immune response
Hintistan, Sevilay; Demirağ, Hatice
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; βCoV), the causative agent of coronavirus disease 2019 (COVID-19), causes severe lower respiratory tract infections and acute respiratory failure syndrome (ARDS). Deaths due to the ongoing COVID-19 pandemic for more than a year are still seen worldwide. Therefore, vaccine trials have gained importance. The discovery of the genome and protein structure of SARS-CoV-2 in a short time allowed the development of nucleic acid-based vaccines (mRNA and DNA vaccines), vector vaccines, inactivated virus vaccines, protein-based vaccines, virus-like particle vaccines, and live attenuated virus vaccines. Many companies, universities, and institutes around the world continue to develop effective vaccines against SARS-CoV-2. In this review, the structural features, classification, genome, and intracellular entry of SARS-CoV-2 coronaviruses, stimulation of the immune system and immunity, COVID-19 vaccine types, and the latest status of clinical trials of these vaccines have been reviewed.
AtıfScopus1OpenAlex2İncele - MakaleAçık Erişim2021Scopus SJRQ2Burnout levels and sleep quality of COVID-19 heroes
Aydin Sayilan, Aylin; Kulakaç, Nurşen; Uzun, Sevda
Purpose: This study was carried out to determine the burnout levels and sleep quality of nurses in the coronavirus disease-2019 process. Design and Methods: The population of this descriptive and cross-sectional study consisted of all nurses working in hospitals in Turkey. Findings: Nurses' mean scores were compared by gender. The emotional burnout and personal achievement scores of male nurses were higher than those of female nurses. Single nurses had significantly higher emotional exhaustion and depersonalization scores than married individuals. Nurses mostly experienced emotional exhaustion, and burnout levels increased in line with insomnia. Implications for Nursing Practice: Nurses struggling on the frontline during the pandemic were determined to be at risk of insomnia and burnout.
AtıfScopus66WoS62OpenAlex97İncele - Kitap BölümüYalnız künye2021The effect of covid-19 pandemic on solidarity culture in Turkey
Kose, Asli
COVID-19 outbreak has become important problem of the World in 2020. World Health Organization accepted COVID-19 outbreak a pandemic on March 11, 2020. With the pandemic workplaces closed and production decreased. COVID-19 pandemic is affecting Turkey socially and economically as it is affecting many countries in global health. In Turkey, it is determined the first corona virus cases in March 2020. It may have some negative economicial, educational, agricultural and public health effects. This study includes a content that evaluates the adversities of the COVID-19 pandemic affecting social assistance. Social assistances are usually planned by central governments and implemented by local governments. Municipalities, one of the local governments, are one of the important institutions in delivering social assistances to the puclic. Central goverment and local goverments tried to support the public with social benefits by using different resources in COVID-19 pandemic. In this process, the culture of solidarity came to the fore. Turkey is experiencing the most beautiful examples of solidarity culture of the country in location. The world has also contributed positively to its image in addition to creating social benefits with the helth aids provided. The need for social assitances is excepted to increase in the face the consequences of the crisis in the future period. This situation will increase the need of public institutions for governance.
- MakaleAçık Erişim2021Scopus SJRQ2The relationship between anxiety levels and anger expression styles of nurses during COVID-19 pandemic
Bayrak, Nurten Gülsüm; Uzun, Sevda; Kulakaç, Nurşen
Objective: This study was carried out in a cross-sectional and correlational design to explore the relationship between anxiety levels and anger expression styles of nurses during the COVID-19 pandemic. Methods: The sample of this cross-sectional and correlational type of study consisted of 618 nurses calculated with the snowball sampling method. The data were collected using a questionnaire developed by the researchers, the state anxiety inventory, and the trait anger and anger expression scale and was conducted between May 10 and 20, 2020 using an online questionnaire form. Percentage, mean, standard deviation, the Mann–Whitney U test, Kruskal–Wallis test, Spearman correlation analysis, and multiple linear regression analysis were used to evaluate the data. Results: The mean age of nurses was 34.98 ± 8.36 years (min: 20; max: 53), 87.4% were women, and 81.7% experienced a high level of anxiety. The anger scores of the participants were found to be 20.04 ± 4.43, the anger-in score was 15.55 ± 3.34, the anger-out score was 14.01 ± 2.87, and the anger control score was 22.93 ± 3.6. Being married, the presence of chronic disease, living in the Marmara region, working shifts, presence of an individual over 65 years of age at home, and having a COVID-19 test were found to be risk factors that significantly increase nurses' anxieties. A significant positive relationship was found between the anxiety scores, trait anger (r = 0.249, p = 0.000), anger-in (r = 0.174, p = 0.000) and anger-out (r = 0.205, p = 0.000) scores of nurses, and a significant negative relationship was found between the anxiety scores and anger control (r = 0.249, p = 0.000) score. Conclusion: The study revealed that in the COVID-19 pandemic the anxiety levels of the nurses were high and that the high anxiety level negatively affected the style of anger expression, but the nurses were successful in maintaining anger control. In line with these results, it is important that nurses develop effective coping strategies to reduce their anxiety levels and that they receive increased levels of support in managing anger expression.
AtıfScopus14WoS12OpenAlex20İncele - MakaleAçık Erişim2021Scopus SJRQ2Role of the Health System in Combating Covid-19: Cross-Section Analysis and Artificial Neural Network Simulation for 124 Country Cases
Bayraktar, Yuksel; Özyilmaz, Ayfer; Toprak, Metin; Isik, Esme; Büyükakin, Figen; Olgun, Mehmet Firat
In the fight against Covid-19, developed countries and developing countries diverge in success. This drew attention to the discussion of how different health systems and different levels of health spending are effective in combating Covid-19. In this study, the role of the health system in the fight against Covid-19 is discussed. In this context, the number of hospital beds, the number of doctors, life expectancy at 60, universal health service and the share of health expenditures in GDP were used as health indicators. In the study, firstly 2020 data was estimated by using the Artificial Neural Networks simulation method and this year was used in the analysis. The model, with the data of 124 countries, was estimated using the cross-sectional OLS regression method. The estimation results show that the number of hospital beds, number of doctors and life expectancy at the age of 60 have statistically significant and positive effects on the ratio of Covid-19 recovered/cases. Universal health service and share of health expenditures in GDP are not significant statistically on the cases and recovered. Hospital bed capacity is the most effective variable on the recovered/case ratio.
AtıfScopus17WoS17OpenAlex20İncele - Derleme MakaleAçık Erişim2020Vaccination Studies Against COVID-19 Agent: Current Status
Hintistan, Sevilay; Kazak, Aysun
The emergence of the new pathogenic viral strains is a constant threat to global health. The latest new coronavirus strain coronavirus-2019 (COVID-19) is the best-known example of this. COVID-19, caused by the severe acute respiratory syndrome-CoV-2 virus has quickly spread around the globe. The applications of drug and vaccine practices, and the identification of potential candidates are of high importance against this pandemic. On healthy adults, a proper evaluation of potential vaccines in parallel with vaccination studies on animal models and an enlargement of production capacity will benefit minimum risk and accelerated COVID-19 vaccine studies for human subjects. The purpose of this review is to contribute to the analysis of vaccine development strategies, vaccine development stages, phase studies and the difficulties, production stages and current status of potential vaccine studies developed to prevent COVID-19.
AtıfOpenAlex2İncele - MakaleAçık Erişim2020Scopus SJRQ4The mediating role of self-compassion in the relationship between perceived COVID-19 threat and death anxiety; [Algılanan COVID-19 tehdidi ve ölüm kaygısı arasındaki ilişkide öz şefkatin aracı rolü]
Kavaklı, Mehmet; Ak, Mehmet; Uğuz, Faruk; Türkmen, Osman Oğulcan
Objective: The COVID-19 pandemic is a new and highly detrimental event that has influenced the world over. Besides the obvious health risks, COVID-19 has also affected people psychologically. The high risk of contamination can increase the perceived COVID-19 threat and death anxiety in individuals. The aim of the present study was to investigate the mediating role of self-compassion in the relationship between perceived COVID-19 threat and death anxiety. Additionally, the study also investigated the role of gender, profession and income level in the perceived COVID-19 threat and death anxiety. Method: The research sample was composed of 562 individuals from the community. The data was gathered by using personal information form and the Perceived COVID-19 Threat Form, Self-Compassion Scale and Turkish Death Anxiety Scale. Results: The relationship between perceived COVID-19 threat and death anxiety was partially mediated by self-compassion. Moreover, people in the high income group had a lower level of perceived COVID-19 threat and death anxiety score compared to the low-income group. Perceived COVID-19 threat levels were lower among health care professionals compared to unemployed individuals. Female participants had a higher level of perceived COVID-19 threat and death anxiety score compared to male participants. Discussion: Self-compassion may be an essential variable to help cope with problems related to perceived COVID-19 threat and death anxiety. Improving our understanding of the psychological impacts of COVID-19 is necessary and essential.
AtıfScopus57WoS56OpenAlex41TR Dizin23İncele - MakaleAçık Erişim2020Scopus SJRQ1Machine learning and classical forecasting methods based decision support systems for covid-19
Ünlü, Ramazan; Namli, Ersin
From late 2019 to the present day, the coronavirus outbreak tragically affected the whole world and killed tens of thousands of people. Many countries have taken very stringent measures to alleviate the effects of the coronavirus disease 2019 (COVID-19) and are still being implemented. In this study, various machine learning techniques are implemented to predict possible confirmed cases and mortality numbers for the future. According to these models, we have tried to shed light on the future in terms of possible measures to be taken or updating the current measures. Support Vector Machines (SVM), Holt-Winters, Prophet, and Long-Short Term Memory (LSTM) forecasting models are applied to the novel COVID-19 dataset. According to the results, the Prophet model gives the lowest Root Mean Squared Error (RMSE) score compared to the other three models. Besides, according to this model, a projection for the future COVID-19 predictions of Turkey has been drawn and aimed to shape the current measures against the coronavirus.
AtıfScopus16WoS12OpenAlex15İncele - Kitap BölümüYalnız künye2020The economic and fiscal impacts of the Covid-19 pandemic in Turkey and around the world
Şahin, Muhammet
Humanity has a long history of struggle against pandemics. Covid-19 is the most recent example of such kind of pandemics. Since its first outbreak appeared in China on December 31, 2019, the Covid-19 pandemic has spread rapidly across almost all over the globe within a few months. The Covid-19 has been a type of pandemic which requires compliance with social distancing rules, thereby it has caused both demand-side and supply-side slowdown in economic activities. It is estimated that as a result of the pandemics there will be a very sharp economic shrinkage, an increase in unemployment to the highest levels in the history and a significant decrease in global trade. Governments and international organizations have adopted various measures and incentive packages in order to overcome this problem. These packages mainly include monetary and fiscal tools; however, they have the risk of yielding an increase in government debts thus disrupting public fiscal equilibrium. This chapter aims to examine the economic and fiscal impacts of the pandemic and to examine practices both in Turkey and around the world accordingly.
AtıfScopus1İncele - MakaleAçık Erişim2020Scopus SJRQ4Effect of the COVID-19 pandemic on eating habits and food purchasing behaviors of university students
Yılmaz, Hacı Ömer; Aslan, Ramazan; Unal, Cihan
COVID-19 disease, which has spread rapidly all over the world since the first case was detected in December 2019, has become the primary focus in every country. Radical measures have been taken by governments to prevent the spread of the disease. Precautions and social rules have required drastic changes to daily life activities everywhere. University students who have had to interrupt their educations are one of the affected groups by this disease sociologically, psychologically and physiologically. The aim of this study was planned and conducted to determine the effect of COVID-19 on university students' eating habits and food purchasing behaviors. The study was completed in April 2020 with 866 university students studying and training at the Faculty of Health Sciences, Gümüşhane, Turkey. Research data was obtained by online questionnaire. The questionnaire was prepared with information obtained from a literature review and the opinions of experts. It included questions about eating habits and food purchasing behaviors. The basic result of the study was that COVID-19 disease has caused significant changes in the eating habits and food purchasing behaviors of university students. Primarily, they now paid greater attention to hygiene when food purchasing, and had increased their consumption compared to previously, since they were now home 24 hours a day, seven days a week.
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