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1.
Asian Pacific Journal of Tropical Medicine ; 15(11):479-484, 2022.
Article in English | GIM | ID: covidwho-2163868

ABSTRACT

Objective: To determine post-discharge mortality and associated factors of the first-wave multicenter Turkish Thoracic Society (TTD)-TURCOVID study.

2.
CESifo Forum ; 23(1):30-34, 2022.
Article in English | Scopus | ID: covidwho-1717261

ABSTRACT

The Covid-19 pandemic that emerged in early 2020 quickly turned into an economic crisis of unprecedented proportions. The UK, one of the worst affected countries, suffered a 9.9 percent drop in output in 2020, the deepest recession in 300 years.1 The required public health expenditure in the fight against the coronavirus and the ballooning cost of support programs to both households and businesses led to a sharp rise in government spending.2 When combined with the significant drop in tax revenues following the contraction in economic activity, the surge in spending pushed the debt burden to levels previously unseen in peace times © 2022, CESifo Forum.All Rights Reserved.

4.
New Medit ; 20(2):15-25, 2021.
Article in English | Web of Science | ID: covidwho-1326148

ABSTRACT

The new coronavirus (Covid-19), which spread almost the entire world, adversely affected many sectors, both internationally and locally. Households' panic purchase has rocketed the demand for some food items in the early days. Besides, food safety concerns have increased. This research aimed to uncover how the public perceived the impact of Covid-19 on the agriculture and food sector. The online survey was conducted, and the data from 428 participants were analysed using the SPSS (v.23) program. The third of respondents (30.8%) believed the outbreak would last between six months to one year, during which time food shortages will occur (32.5%). While 27.4% of the respondents reported that they stockpiled food, 44.8% reported that if the outbreak continued, they would stock up on food. Participants were concerned that if planting cannot be done, food shortages will occur (74.6%), basic foodstuffs cannot be produced (67.8%), food imports (69.4%) and exports (74.6%) will be adversely affected by the outbreak. The research found that if farming disturbed, food prices would increase (82.3%) and the government should include agriculture-supporting measures (85%) in its economic measures.

5.
Namik Kemal Tip Dergisi / Namik Kemal Medical Journal ; 8(3):570-578, 2020.
Article in Turkish | GIM | ID: covidwho-1175894

ABSTRACT

COVID-19, caused by SARS-COV2, has became a disease which is declared as a pandemic by World Health Organization in a short time. Although most symptomatic cases, result in minor symptoms;some patients were found to be at higher risk for mortality and morbidity. Patients with chronic cardiovascular morbidities, especially hypertension, and chronic renal morbidities including glomerulonephritis, renal transplantation and chronic kidney diseases due to other causes are included in the high-risk group. However, kidneys are among the most frequently and severely affected organs acutely in the course of the COVID-19. Preventive measures play a key role in COVID-19 pandemic management, as there is no definitive treatment for the disease and the long-term effects in involved organs are unknown. This has made it necessary to take special protective measures in nephrology clinics and to make short and longterm plans in treatment and follow-up. In this article, the arrangements to be made in nephrology clinics in COVID-19 pandemic and the follow-up of special patient groups will be summarized.

6.
Eur Rev Med Pharmacol Sci ; 24(19): 10247-10257, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-890960

ABSTRACT

OBJECTIVE: Although many studies reported prognostic factors proceeding to severity of COVID-19 patients, in none of the article a prediction scoring model has been proposed. In this article a new prediction tool is presented in combination of Turkish experience during pandemic. MATERIALS AND METHODS: Laboratory and clinical data of 397 over 798 confirmed COVID-19 patients from Gülhane Training and Research Hospital electronic medical record system were included into this retrospective cohort study between the dates of 23 March to 18 May 2020. Patient demographics, peripheral venous blood parameters, symptoms at admission, in hospital mortality data were collected. Non-survivor and survivor patients were compared to find out a prediction scoring model for mortality. RESULTS: There was 34 [8.56% (95% CI:0.06-0.11)] mortality during study period. Mean age of patients was 57.1±16.7 years. Older age, comorbid diseases, symptoms, such as fever, dyspnea, fatigue and gastrointestinal and WBC, neutrophil, lymphocyte count, C-reactive protein, neutrophil-to-lymphocyte ratio of patients in non-survivors were significantly higher. Univariate analysis demonstrated that OR for prognostic nutritional index (PNI) tertile 1 was 18.57 (95% CI: 4.39-78.65, p<0.05) compared to tertile 2. Performance statistics of prediction scoring method showed 98% positive predictive value for criteria 1. CONCLUSIONS: It is crucial to constitute prognostic clinical and laboratory parameters for faster delineation of patients who are prone to worse prognosis. Suggested prediction scoring method may guide healthcare professional to discriminate severe COVID-19 patients and provide prompt intensive therapies which is highly important due to rapid progression leading to mortality.


Subject(s)
COVID-19/diagnosis , COVID-19/mortality , Hospital Mortality , Models, Statistical , Survivors/statistics & numerical data , Age Factors , Aged , Aged, 80 and over , Cohort Studies , Female , Humans , Male , Middle Aged , Pandemics , Prognosis , Retrospective Studies , Risk Factors , SARS-CoV-2 , Turkey/epidemiology
7.
IEEE Engineering Management Review ; 2020.
Article in English | Scopus | ID: covidwho-825824

ABSTRACT

The Coronavirus outbreak presents a significant threat to public health and is profoundly distresses the global economy. There are no sectors left affected by the outbreak on a local, national and global scale. Some sectors have come to a complete standstill, while others have received high demands. All known business models came under question. The crisis served as a check up, allowing executives to question existing systems, the company and its management capacities. Nonetheless, crises have enabled businesses to adopt innovative approaches such as new ways of working and the use of modern technology quickly. It will be challenging for businesses to adapt to these innovations that are coming very fast in the post-crisis uncertainty. This research aims to inform managers, decision-makers and team leaders about the changes they will face in the post-Covid -19 World, based on the example of the agriculture and food sector, and to provide them with a road map. IEEE

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