Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Book Part Telemedicine Applications for Pandemic Diseases, With a Focus on Covid-19(Elsevier, 2021) Tarim,E.A.; Karakuzu,B.; Oksuz,C.; Tekin,H.C.Dating back to the development of modern medicine, pandemic and epidemic diseases, such as bubonic plague, smallpox, the plague of Justinian, and the Antonine Plague, have caused massive damage to the human race. For instance, more than 200 million people are estimated to have died due to Black Death (bubonic plague) alone. This situation has not changed in near history either. Diseases such as influenza, HIV/AIDS, severe acute respiratory syndrome, Ebola, Middle East respiratory syndrome, and coronavirus disease 2019 (COVID-19), as today, have emerged and threatened the modern human life. The common feature of these diseases can be listed as having a high risk of infection and transmission, rapidly spreading to large areas, and having high mortality rates and causing permanent damage to the body because of the low immunity profile of the exposed population. If the number of cases increases rapidly for these diseases, the capacity of healthcare services can be exceeded and healthcare services can be threatened as well. These characteristics of pandemic diseases force the authorities to take extraordinary precautions such as isolation and quarantine to reduce the risk of infection. However, these applications can make it difficult to provide proper health services to patients. The development of information technologies provides patients an easy and remote access to healthcare services via telemedicine applications. Telemedicine is used for diagnosis and treatment of diseases by following the same practices used in clinics. It also provides care givers a real-time and remote monitoring of their patients, which can be beneficial in terms of reducing the risk of infections and maintaining healthcare services during a pandemic. Authorities can also use these telemedicine applications to track infected patients and get necessary precaution to minimize the infection risk. This chapter introduces the latest telemedicine applications for epidemic and pandemic diseases, especially for COVID-19. These potential applications could improve and transform the current practices for pandemic disease management. © 2022 Elsevier Inc.Article Citation - Scopus: 2Indoor Air Co2 Concentrations and Ventilation Rates in Two Residences in İzmir, Turkey(Yıldız Teknik Üniversitesi, 2022) Taşer, Aybüke; Uçaryılmaz, Sedef; Çataroğlu, Ilgın; Sofuoğlu, Sait CemilHouses are the places where people spend most of their time. That is why indoor air quality at home is essential for public health. Sufficient ventilation is the factor to avoid accumulation of pollutants in indoor air, which include microorganisms, such as SARS-CoV-2. Therefore, adequate ventilation is needed to provide good indoor air quality for human health and reduce infection risk at home. There are no reports of residential ventilation rates in Turkey. In this study, CO2 concentrations were measured in two residences in Izmir, Turkey. Three experiments were conducted to determine background concentrations and the rate of natural ventilation with infiltration and opening windows. Results show that air exchange provided by infiltration is low for both case rooms, while adequate ventilation could be achieved with natural ventilation under the studied conditions. Infiltration provided air exchange and ventilation rates of 0.18 h-1 and 5.9 m3/h for Case 1 and 0.29 h-1 and 8.23 m3/h for Case 2, respectively. Air exchange and ventilation rates were increased to 2.36 h-1 and 76.9 m3/h for Case 1 and 1.2 h-1 and 34 m3/h for Case 2, respectively, by opening the windows. Although ventilation can be provided by opening the windows, the other factors that determine its rate, e.g., meteorological variables, cannot be controlled by the occupants. Consequently, people cannot ensure the good indoor air quality in bedrooms and sufficient reduction in transmission of pathogenic microorganisms; therefore, risk of spreading diseases such as COVID-19 at home.Article Citation - Scopus: 22Multi‑purpose Reverse Logistics Network Design for Medical Waste Management in a Megacity: Istanbul, Turkey(Springer, 2022) Balcı, Esin; Balcı, Sezin; Sofuoğlu, AysunIn the study, a multi-purpose reverse logistics network has been designed to create effectual management of medical waste (MW) generated in 39 districts of Istanbul, a heavily populated city, during the COVID-19 pandemic as well as that to be generated in the next decade. With the model, the medical waste management system in Istanbul is analyzed during the pandemic and for the next 10 years. The model attempts to integrate economic, environmental, and social objectives within the sustainable development goals. It aims to maximize the number of personnel and government earnings for the estimated MW of a megacity while minimizing the total fixed cost and the cost of carbon emissions and transportation. The results indicated that the existing facilities are sufficient for the treatment and disposal of MW generated even under pandemic conditions. However, the capacity of the sterilization facility could be insufficient to treat the estimated amount of MW in the next decade. Opening a sterilization facility near the sanitary landfill in Komurcuoda with a total management cost of 62,450,332 €/year would be an optimum solution for Istanbul MW. In comparison to the single-purpose model results, the multi-purpose model resulted in approximately 42,000 € more in total cost. Sensitivity analyses show that the amount of MW has the most significant effect on the total cost. This simple model created an effective MW management proposal for Istanbul, which can be a model for megacities.Article Citation - WoS: 4Citation - Scopus: 4Mobile human ad hoc networks: A communication engineering viewpoint on interhuman airborne pathogen transmission(Elsevier, 2022) Güleç, Fatih; Atakan, Barış; Dressler, FalkoA number of transmission models for airborne pathogens transmission, as required to understand airborne infectious diseases such as COVID-19, have been proposed independently from each other, at different scales, and by researchers from various disciplines. We propose a communication engineering approach that blends different disciplines such as epidemiology, biology, medicine, and fluid dynamics. The aim is to present a unified framework using communication engineering, and to highlight future research directions for modeling the spread of infectious diseases through airborne transmission. We introduce the concept of mobile human ad hoc networks (MoHANETs), which exploits the similarity of airborne transmission-driven human groups with mobile ad hoc networks and uses molecular communication as the enabling paradigm. In the MoHANET architecture, a layered structure is employed where the infectious human emitting pathogen-laden droplets and the exposed human to these droplets are considered as the transmitter and receiver, respectively. Our proof-of-concept results, which we validated using empirical COVID-19 data, clearly demonstrate the ability of our MoHANET architecture to predict the dynamics of infectious diseases by considering the propagation of pathogen-laden droplets, their reception and mobility of humans.Article Citation - WoS: 6Citation - Scopus: 6A Comparative Study of Hplc and Uv Spectrophotometric Methods for Oseltamivir Quantification in Pharmaceutical Formulations(Akademiai Kiado, 2022) Güngör, Serdar; Bulduk, İbrahim; Aydın, Beyza Sultan; İlikçi Sağkan, RahşanOseltamivir is an antiviral drug and is used in the treatment of all influenza viruses. It is the most effective antiviral option against all influenza viruses that can infect humans. UV and LC methods have been developed and validated according to ICH guidelines for various parameters like selectivity, linearity, accuracy, precision, LOD and LOQ, robustness for the quantitative determination of oseltamivir in pharmaceutical formulations. LC method has been performed using reverse phase technique on a C-18 column with a mobile phase consisting of 20 mM potassium dihydrogen phosphate solution and acetonitrile (60:40, v/v) at 25 8C. The mobile phase flow rate was 1.2 mL min-1. For the determination of oseltamivir, UV spectrum has been recorded between 200 and 800 nm using methanol as solvent and the wavelength of 215 nm has been selected. Both methods have demonstrated good linearity, precision and recovery. No spectral and chromatographic interferences from the capsule excipients were found in UV and LC methods. In both methods, correlation coefficients were greater than 0.999 within a concentration range of 10???60 mg mL-1 using UV and LC. Intra-day and inter-day precision with low relative standard deviation values were observed. The accuracy of these methods was within the range 99.85???100.17% for LC and from 99.26 to 100.70% for UV. Therefore UV and LC methods gave the most reliable outcomes for the determination of oseltamivir in pharmaceutical formulation.Article Citation - WoS: 11Citation - Scopus: 11The Importance of Neopterin in Covid-19: The Prognostic Value and Relation With the Disease Severity(Elsevier, 2022) Rasmi, Yousef; Heidari, Nadia; Kübra Kırboğa, Kevser; Hatamkhani, Shima; Tekin, Burcu; Alipour, Shahryar; Naderi, Roya; Farnamian, Yeghaneh; Akça, İlknurCoronavirus Disease 2019 [COVID-19], caused by severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2], has rapidly evolved into a global health emergency. Neopterin [NPT], produced by macrophages when stimulated with interferon [IFN-]gamma, is an essential cytokine in the antiviral immune response. NPT has been used as a marker for the early assessment of disease severity in different diseases. The leading cause of NPT production is the pro-inflammatory cytokine IFN-. Macrophage activation has also been revealed to be linked with disease severity in SARS-CoV-2 patients. We demonstrate the importance of NPT in the pathogenesis of SARS-CoV-2 and suggest that targeting NPT in SARS-CoV-2 infection may be critical in the early prediction of disease progression and provision of timely management of infected individuals.Article Citation - WoS: 8Citation - Scopus: 9Analysis of Covid 19 Disease With Sir Model and Taylor Matrix Method(American Institute of Mathematical Sciences, 2022) Uçar, Deniz; Çelik, ElçinCovid 19 emerged in Wuhan, China in December 2019 has continued to spread by affecting the whole world. The pandemic has affected over 328 million people with more than 5 million deaths in over 200 countries which has severely disrupted the healthcare system and halted economies of the countries. The aim of this study is to discuss the numerical solution of the SIR model on the spread of Covid 19 by the Taylor matrix and collocation method for Turkey. Predicting COVID-19 through appropriate models can help us to understand the potential spread in the population so that appropriate action can be taken to prevent further transmission and prepare health systems for medical management of the disease. We deal with Susceptible–Infected–Recovered (SIR) model. One of the proposed model’s improvements is to reflect the societal feedback on the disease and confinement features. We obtain the time dependent rate of transmission of the disease from susceptible β(t) and the rate of recovery from infectious to recovered γ using Turkey epidemic data. We apply the Taylor matrix and collocation method to the SIR model with γ, β(t) and Covid 19 data of Turkey from the date of the first case March 11, 2020 through July 3, 2021. Using this method, we focus on the evolution of the Covid 19 in Turkey. We also show the estimates with the help of graphics and Maple.Article Citation - WoS: 37Citation - Scopus: 48Microfluidic-Based Virus Detection Methods for Respiratory Diseases(Springernature, 2021) Tarım, Ergün Alperay; Karakuzu, Betül; Öksüz, Cemre; Sarıgil, Öykü; Kızılkaya, Melike; Al-Ruweidi, Mahmoud Khatib A. A.; Yalçın, Hüseyin Çağatay; Özçivici, Engin; Tekin, Hüseyin CumhurWith the recent SARS-CoV-2 outbreak, the importance of rapid and direct detection of respiratory disease viruses has been well recognized. The detection of these viruses with novel technologies is vital in timely prevention and treatment strategies for epidemics and pandemics. Respiratory viruses can be detected from saliva, swab samples, nasal fluid, and blood, and collected samples can be analyzed by various techniques. Conventional methods for virus detection are based on techniques relying on cell culture, antigen-antibody interactions, and nucleic acids. However, these methods require trained personnel as well as expensive equipment. Microfluidic technologies, on the other hand, are one of the most accurate and specific methods to directly detect respiratory tract viruses. During viral infections, the production of detectable amounts of relevant antibodies takes a few days to weeks, hampering the aim of prevention. Alternatively, nucleic acid-based methods can directly detect the virus-specific RNA or DNA region, even before the immune response. There are numerous methods to detect respiratory viruses, but direct detection techniques have higher specificity and sensitivity than other techniques. This review aims to summarize the methods and technologies developed for microfluidic-based direct detection of viruses that cause respiratory infection using different detection techniques. Microfluidics enables the use of minimal sample volumes and thereby leading to a time, cost, and labor effective operation. Microfluidic-based detection technologies provide affordable, portable, rapid, and sensitive analysis of intact virus or virus genetic material, which is very important in pandemic and epidemic events to control outbreaks with an effective diagnosis.Article Citation - WoS: 2Citation - Scopus: 3Meta-Synthesis of Covid-19 Lessons: Charting Sustainable Management of Future Pandemics(Routledge, 2021) Ziafati Bafarasat, AbbasDevelopment of the COVID-19 vaccines has been creating a lot of hope for an ultimate return to normality, but returning to normality as we had before would mean we will continue to ignore life-ravaging lessons, as we did for severe acute respiratory syndrome, Ebola, and Middle East respiratory syndrome. This meta-synthesis of COVID-19 lessons charts sustainable pandemic management in terms of choosing strategies that are situated in their contextual specifications and beginning preparations for future application of such strategies from now. To guide selection of a situated strategy, the paper provides a comprehensive list of epidemiological determinants (e.g. communicativeness, poverty, supply chain, density, wind, remoteness); consolidates knowledge about strategies of elimination, suppression and mitigation; and proposes a quantified SWOT analysis of epidemiological determinants that produces coordinates for strategy identification in a Cartesian plane divided into twelve strategy quarters. To guide prior preparations for future application of pandemic management strategies, the paper consolidates lessons learned in implementation of situated strategies and proposes preparations at the national level for elimination, at the local/community level for suppression, and at the regional level for mitigation. Highlights: Lessons of COVID-19 (coronavirus) chart sustainable management of future pandemics. Epidemiological determinants and their mechanisms of impact are listed. Knowledge about elimination, suppression and mitigation strategies is consolidated. A quantified SWOT and Cartesian plane enable selecting context-specific strategies. Preparations for future elimination, suppression and mitigation are listedArticle Citation - Scopus: 5Effect of Covid-19 Pandemic on Ambient Air Quality and Excess Risk of Particulate Matter in Turkey(2021) Gören, Ayşegül Yağmur; Genişoğlu, Mesut; Ökten, Hatice Eser; Sofuoğlu, Sait CemilThe COVID-19 pandemic, which has reached 4 million global cases as of March 10, 2020, has become a worldwide problem. Turkey is one of the most affected (9th in the world) country with 139 771 cases. An intermittent curfew policy that differ for three age groups, and an intercity travel ban varying within the country have been implemented. The effects of changes in social life and industrial activity in terms of environmental pollution are not yet known. The short-term effects on PM2.5, PM10, SO2, NO2, NO, NOx, O3 and CO concentrations measured at 51 air quality measurement stations (AQMS) in 11 cities in March – April period of 2020 were statistically compared with that of the previous year. While PM2.5 (9/14 AQMS) and PM10 (29/35 AQMS) concentrations were not significantly affected, NO (12/24 AQMS), NO2 (20/29 AQMS), NOX (17/25 AQMS) concentrations were decreased, SO2 concentrations at half of the AQMSs (11/25) did not show a significant change. There were stations at which higher pollutant concentrations were measured in the study period in 2020 compared to that of 2019. Excess risks associated with PM2.5 and PM10 were estimated to be variable, albeit with a small difference. In conclusion, the heterogeneous actions taken in response to the COVID-19 pandemic resulted in mixed effects on ambient air quality.