Browsing by Author "Karasulu B."

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    Education of healthcare personnel working with pediatric patients during covid-19 pandemic within the framework of infection control; [Covid-19 pandemisinde enfeksiyon kontrol çalışmaları çerçevesinde çocuk hastalarla çalışan sağlık personeli eğitimi]
    (AVES, 2020) Oygar P.D.; Büyükçam A.; Bal Z.Ş.; Dalgıç N.; Bozdemir Ş.E.; Karbuz A.; Çetin B.Ş.; Kara Y.; Çetin C.; Hatipoğlu N.; Uygun H.; Aygün F.D.; Törün S.H.; Okur D.Ş.; Çiftdoğan D.Y.; Kara T.T.; Yahşi A.; Özer A.; Demir S.Ö.; Akkoç G.; Turan C.; Salı E.; Şen S.; Erdeniz E.H.; Kara S.S.; Emiroğlu M.; Erat T.; Aktürk H.; Gürlevik S.L.; Sütçü M.; Aydın Z.G.G.; Atikan B.Y.; Yeşil E.; Güner G.; Çelebi E.; Efe K.; İşançlı D.K.; Durmuş H.S.; Tekeli S.; Karaarslan A.; Bülbül L.; Almış H.; Kaba Ö.; Keleş Y.E.; Yazıcıoğlu B.; Oğuz Ş.B.; Ovalı H.F.; Doğan H.H.; Çelebi S.; Çakır D.; Karasulu B.; Alkan G.; Yenidoğan İ.; Gül D.; Küçükalioğlu B.P.; Avcu G.; Kukul M.G.; Bilen M.; Yaşar B.; Üstün T.; Kılıç Ö.; Akın Y.; Cebeci S.O.; Turgut M.; Yanartaş M.S.; Şahin A.; Arslanoğlu S.; Elevli M.; Öz Ş.K.T.; Hatipoğlu H.; Erkum İ.T.; Demirbuğa A.; Özçelik T.; Sarı E.E.; Akkuş G.; Hatipoğlu S.S.; Dinleyici E.Ç.; Hacımustafaoğlu M.; Özkınay F.; Kurugöl Z.; Cengiz A.B.; Somer A.; Tezer H.; Kara A.
    Objective: In the early stages of any epidemic caused by new emerging pathogens healthcare personnel is subject to a great risk. Pandemic caused by SARS-CoV-2, proved to be no exception. Many healthcare workers died in the early stages of pandemic due to inadequate precautions and insufficient protection. It is essential to protect and maintain the safety of healthcare personnel for the confinement of pandemic as well as continuity of qualified healthcare services which is already under strain. Educating healthcare personnel on appropiate use of personal protective equipment (PPE) is as essential as procuring them. Material and Methods: A survey is conducted on 4927 healthcare personnel working solely with pediatric patients from 32 different centers. Education given on PPE usage were questioned and analyzed depending on age, sex, occupation and region. Results: Among four thousand nine hundred twelve healthcare personnel from 32 different centers 91% (n= 4457) received education on PPE usage. Of those who received education only 36% was given both theoretical and applied education. Although there was no differences among different occupation groups, receiving education depended on regions. Conclusion: It is essential to educate healthcare personnel appropiately nationwidely for the continuity of qualified healthcare services during the pandemic. © 2020, AVES. All rights reserved.
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    SARS-CoV-2 seropositivity among pediatric health care personnel after the first peak of the pandemic: nationwide surveillance in Turkey
    (Elsevier B.V., 2021) Oygar P.D.; Büyükçam A.; Bal Z.Ş.; Dalgıç N.; Bozdemir Ş.E.; Karbuz A.; Çetin B.Ş.; Kara Y.; Çetin C.; Hatipoğlu N.; Uygun H.; Aygün F.D.; Törün S.H.; Okur D.Ş.; Çiftdoğan D.Y.; Kara T.T.; Yahşi A.; Özer A.; Demir S.Ö.; Akkoç G.; Turan C.; Salı E.; Şen S.; Erdeniz E.H.; Kara S.S.; Emiroğlu M.; Erat T.; Aktürk H.; Gürlevik S.L.; Sütçü M.; Aydın Z.G.G.; Atikan B.Y.; Yeşil E.; Güner G.; Çelebi E.; Efe K.; İşançlı D.K.; Durmuş H.S.; Tekeli S.; Karaaslan A.; Bülbül L.; Almış H.; Kaba Ö.; Keleş Y.E.; Yazıcıoğlu B.; Oğuz Ş.B.; Ovalı H.F.; Doğan H.H.; Çelebi S.; Çakır D.; Karasulu B.; Alkan G.; Yenidoğan İ.; Gül D.; Küçükalioğlu B.P.; Avcu G.; Kukul M.G.; Bilen M.; Yaşar B.; Üstün T.; Kılıç Ö.; Akın Y.; Cebeci S.O.; Bucak I.H.; Yanartaş M.S.; Şahin A.; Arslanoğlu S.; Elevli M.; Çoban R.; Öz Ş.K.T.; Hatipoğlu H.; Erkum İ.T.; Turgut M.; Demirbuğa A.; Özçelik T.; Çiftçi D.; Sarı E.E.; Akkuş G.; Hatipoğlu S.S.; Dinleyici E.Ç.; Hacımustafaoğlu M.; Özkınay F.; Kurugöl Z.; Cengiz A.B.; Somer A.; Tezer H.; Kara A.
    Background: Understanding SARS-CoV-2 seroprevalence among health care personnel is important to explore risk factors for transmission, develop elimination strategies and form a view on the necessity and frequency of surveillance in the future. Methods: We enrolled 4927 health care personnel working in pediatric units at 32 hospitals from 7 different regions of Turkey in a study to determine SARS Co-V-2 seroprevalence after the first peak of the COVID-19 pandemic. A point of care serologic lateral flow rapid test kit for immunoglobulin (Ig)M/IgG was used. Seroprevalence and its association with demographic characteristics and possible risk factors were analyzed. Results: SARS-CoV-2 seropositivity prevalence in health care personnel tested was 6.1%. Seropositivity was more common among those who did not universally wear protective masks (10.6% vs 6.1%). Having a COVID-19-positive co-worker increased the likelihood of infection. The least and the most experienced personnel were more likely to be infected. Most of the seropositive health care personnel (68.0%) did not suspect that they had previously had COVID-19. Conclusions: Health surveillance for health care personnel involving routine point-of-care nucleic acid testing and monitoring personal protective equipment adherence are suggested as important strategies to protect health care personnel from COVID-19 and reduce nosocomial SARS-CoV-2 transmission. © 2021 The Author(s)
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    A hybrid approach based on deep learning for gender recognition using human ear images; [Insan kulaǧi görüntüleri kullanarak cinsiyet tanima için derin öǧrenme tabanli melez bir yaklaşim]
    (Gazi Universitesi, 2022) Karasulu B.; Yücalar F.; Borandaǧ E.
    Nowadays, the use of the human ear images gains importance for the sustainability of biometric authorization and surveillance systems. Contemporary studies show that such processes can be done semi-automatically or fully automatically, instead of being done manually. Due to the fact that deep learning uses abstract features (i.e., representation learning), it reaches quite high performance values compared to classical methods. In our study, a synergistic gender recognition approach based on hybrid deep learning was created based on the use of human ear images in classifying people fully automatically according to their gender. By means of hybridization, hybrid deep neural network architectural models are used, which include both convolutional neural network component and recurrent neural network type components together. In these models, long-short term memory and gated recurrent unit are taken as recurrent neural network type components. Thanks to these components, the hybrid model extracts the relational dependencies between the pixel regions in the image very well. On account of this synergistic approach, the gender classification accuracy of hybrid models is higher than the standalone convolutional neural network model in our study. Two different image datasets with gender marking were used in our experiments. The reliability of the experimental results has been proven by objective metrics. In the conducted experiments, the highest values in gender recognition with hybrid models were obtained with the test accuracy of 85.16% for the EarVN dataset and 87.61% for the WPUT dataset, respectively. Discussion and conclusions are included in the last section of our study. © 2022 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.