Türkiye’de COVID-19 Salgın Sürecinde İhtiyaç Duyulacak Yoğun Bakım Yatak ve Solunum Cihazı Sayılarının Direkt Tahmini

Ankaralı, Handan

doi:10.21673/anadoluklin.715628

Cited by 4 publications

(4 citation statements)

References 2 publications

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“…Ankaralı (7) stated that the time series model was less successful than the second method, as in our study. Although the prediction sizes of the two models are close, the time series analysis by Du et al (16) was made in monthly periods due to the incubation period, to obtain 0.95 impressions in the forecasting.…”

supporting

confidence: 46%

“…0 ≤ R2 ≤ 1 takes a value between R2, when it takes a value close to 1, it can be assumed that the established model is compatible (7).…”

Section: R2 Formulamentioning

confidence: 99%

“…While the pandemic has been rising since February 2020 in Italy, useful estimations and forecasts have been made in the resource facility for the intensive care staff, intensive care unit, and intensive care beds needed (7).…”

mentioning

confidence: 99%

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Forecasting the Number of Patients in the Intensive Care Unit Due To Covid-19 in Turkey by Multiple Linear Regression and Holt Time-Series Methods

ÜZÜLMEZ¹,

Aslan²

2020

EJOH

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Objective: A novel coronavirus disease (COVID-19) pandemic originated in Wuhan, China, but has now spread around the globe. Data mining has been extensively employed throughout the pandemic's process concerning huge public health and many major consequences in the social, cultural, economic, political, legal, and military spheres. Using data mining methods, provinces, regions, and nations determined cases, mortality rates, and epidemic spread rates. Patients with severe disease suffered substantial respiratory distress and were treated in intensive care units. Hospital demand for intensive care surged due to the increasing number of intensive care units.Methods: Due to the COVID-19 pandemic in Turkey, this study tried to anticipate the number of patients admitted to the intensive care unit between March 27, 2020, and June 5, 2020, using data from the Turkish Ministry of Health. The study compared methods using multiple linear regression and Holt Time Series analysis. Results:The R2 value of the multiple regression method was calculated as 0.93. Since the value of 0.93 for the R2 result gives a value close to 1, the model fit is significant. According to the analysis results, the RMSE values taken from the established models are as follows. The multiple Linear Regression RMSE value is 22.221, Holt Time Series RMSE value is 39.815. Accordingly, since the Regression model produces realistic and meaningful data in the 71-day intensive care patient number in a 7-day study, the established model fit produces better forecast results than the Holt time series method.

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supporting

confidence: 46%

“…0 ≤ R2 ≤ 1 takes a value between R2, when it takes a value close to 1, it can be assumed that the established model is compatible (7).…”

Section: R2 Formulamentioning

confidence: 99%

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Forecasting the Number of Patients in the Intensive Care Unit Due To Covid-19 in Turkey by Multiple Linear Regression and Holt Time-Series Methods

ÜZÜLMEZ¹,

Aslan²

2020

EJOH

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“…Covid-19 ile ilgili yapılan çalışmalar incelendiğinde; hastalık hakkında bilgi vermek ve önerilerde bulunmak (Chen, 2020;Khosravi, 2020;Uludağ, 2020), hastanelerde ihtiyaç duyulacak yoğun bakım yatak ve solunum cihazları hakkında tahminde bulunmak (Ankaralı, 2020), insanların sağlık kaygılarına (Ekiz, Ilıman & Dönmez, 2020), yemek firmaları üzerindeki (Şen, 2020), konut ve iş yeri kiralarında (Kayış, 2020), turizm (Acar, 2020), havacılık sektörü üzerindeki etkilerini (Akca, 2020), sosyal mesafe etkisini (Prem, Liu, Russell, Kucharski, Eggo & Davies, 2020), sosyoekonomik sonuçlarını (Alpago & Oduncu Alpago, 2020), bireylerin boş zamanlarda ev içi rekreatif oyunlarına etkisini belirlemek amacıyla yapıldığı görülmektedir (Gümüşgül & Aydoğan, 2020). Covid-19 döneminde okulların kapanmasıyla yurt dışında uygulanan yönetim uygulamalarını (Viner ve diğerleri, 2020), uygulanan uzaktan eğitimle ilgili öğretmen algılarını (Yang, 2020) inceleyen çalışmaların olduğu görülürken, ülkemizde Milli Eğitim Bakanlığının attığı adımları değerlendiren çalışmaların incelendiği (Özer, 2020a), mesleki ve teknik eğitimin bu süreçteki önemini (Özer, 2020b), eğitimdeki sorunları (Sarı & Nayir, 2020); okul yöneticilerinin, fen bilimleri ve Türkçe öğretmenlerinin, lisans öğrencilerinin ve okuma güçlüğü yaşayan öğrencilerin deneyimlerini inceleyen çalışmaların olduğu görülmektedir (Bakioğlu & Çevik, 2020;Bayburtlu, 2020;Duban & Şen, 2020;Karahan, Bozan & Akçay, 2020;Külekçi-Akyavuz & Çakın, 2020;Sirem & Baş, 2020).…”

Section: Introductionunclassified

Sınıf Öğretmenleri, İlkokul Öğrencileri ve Ebeveynlerin Covid-19 İzolasyon Döneminde Uygulanan Uzaktan Eğitim Faaliyetleri Hakkındaki Görüşleri

Akyildiz¹

2020

TurkishStudies

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This study was conducted to get the views of primary school teachers, primary school students and their parents about distance education activities implemented during the covid-19 isolation period. Phenemology pattern was used in the study. A total of 39 people, including 13 primary school students, parents and primary school teachers from the Maçka district of Trabzon province, were included in the study. Data obtained through semi-structured interviews were analyzed by descriptive analysis. This research was carried out with the permission of ethical committee (the approval number fort he research is E.384 and the date is 29.09.2020). As a result of the analysis; primary school students and their parents found that distance education applied during Covid-19 was sufficient because of being instructive, but the primary school teachers found it inadequate because of the superficial explanation of the subjects. It has emerged that primary school pupils and their parents confirmed the conclusion that primary school teachers contacted their pupils to give them daily assignments. In addition, both primary school students and their parents, as well as primary school teachers, found that students learn better because they can interact with their teachers at school and get feedback, and therefore prefer face-to-face education at school. While primary school students stated that they did not encounter any problems in the distance education process, it was determined that their parents saw short periods of lessons and that the primary school teachers considered the superficial exposition of the subjects as a problem. Primary school teachers have been found to recommend that distance education activities be carried out in the form of live lessons with primary school students ' own classroom teachers.

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An Investigation of Turkish University Students’ Internet Addiction Level During the Covid-19 Pandemic

Baltacı¹

2021

ADN

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"Abstract: The purpose of this study is to examine the level of internet addiction of university students in the coronavirus epidemic process in terms of various variables. The research was carried out with the screening model, which is one of the quantitative research methods. The study group in Turkey between coronavirus outbreak and characterized by intense social isolation process from March to April 2020 date, Turkey in different higher education institutions in studying and researching on Google Forms through volunteer who agreed to participate 113 men, 292 women It consists of a total of 405 university students. In the research, ""Young Internet Addiction Scale-Short Form"" adapted to Turkish by Kutlu et al. (2016) and ""Personal Information Form"" developed by researchers to determine demographic information were used to determine the level of internet addiction of university students. As a result of the research, internet addiction levels of university students were found low during the coronavirus outbreak days. In addition, while the internet addiction levels of university students participating in the study differ significantly according to the frequency of curfew and daily internet usage time; There is no significant difference in terms of gender, city and residence, number of family members and frequency of coronavirus anxiety. The results of the research were discussed in the light of the literature and suggestions were made."

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Türkiye’de COVID-19 Salgın Sürecinde İhtiyaç Duyulacak Yoğun Bakım Yatak ve Solunum Cihazı Sayılarının Direkt Tahmini

Cited by 4 publications

References 2 publications

Forecasting the Number of Patients in the Intensive Care Unit Due To Covid-19 in Turkey by Multiple Linear Regression and Holt Time-Series Methods

Forecasting the Number of Patients in the Intensive Care Unit Due To Covid-19 in Turkey by Multiple Linear Regression and Holt Time-Series Methods

Sınıf Öğretmenleri, İlkokul Öğrencileri ve Ebeveynlerin Covid-19 İzolasyon Döneminde Uygulanan Uzaktan Eğitim Faaliyetleri Hakkındaki Görüşleri

An Investigation of Turkish University Students’ Internet Addiction Level During the Covid-19 Pandemic

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