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Designing a Rough-PSO–Based COVID-19 Prediction Model
Published in Teena Bagga, Kamal Upreti, Nishant Kumar, Amirul Hasan Ansari, Danish Nadeem, Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics, 2023
Shampa Sengupta, Sourik Pyne, Sangya Chattopadhyay
A paper [1] proposed a prediction model to determine the positivity or the negativity of the disease through smartphone or smart devices, as many times it is seen that setting up of the infrastructure is very time consuming and costly for many people. Smartphone sensors were used to detect COVID-positive patients using a set of AI algorithms. They studied [1] the general characteristics of COVID-19 symptoms i.e. fever, cough, computed tomography (CT) scan features and difficulty in breathing. The usefulness of the powerful and extraordinary smartphone sensors is mentioned in this research work for COVID-19 prediction. For example, the microphone sensor can be used to detect the abnormality in breath and cough, camera sensors can be used too for different purposes, fingerprint sensors can be used to get the temperature measurement, etc. Another work of the camera sensor is to analyse the pre-processed CT scan images for the detection of the virus. Different features from different images make a large database that help to identify the affected patient. When it comes to get the temperature, the study shows that the patient has to put his or her index finger in front of the flash and the camera will take the sample images, and using the algorithm, it will convert into heart rate and consequently to the temperature. X-ray images that are pre-processed can be analysed by the camera sensor and compared with the previously obtained data from the COVID-positive patient to get the result.
An AI-Assisted IoT-Based Framework for Time Efficient Health Monitoring of COVID-19 Patients
Published in Bhawana Rudra, Anshul Verma, Shekhar Verma, Bhanu Shrestha, Futuristic Research Trends and Applications of Internet of Things, 2022
Punitkumar Bhavsar, Vinal Patel
Layer 1 collects subjective and objective forms of data through means of questionnaires and physiological sensors. Subjective data consists of information about patient’s symptoms and pre-medical conditions which are collected through means of questionnaires. Information about the symptoms include the presence of fatigue, cough, difficulty in breathing, loss of test, loss of smell and other COVID-19 symptoms. Information about pre-medical conditions include the presence of diabetes, heart disease, and other chronic diseases. The objective information about oxygen saturation level and presence of fever is collected through means of biosensors like pulse oximeter and thermometer. These devices are capable enough to provide accurate, high end clinical information due to advanced electronics and local computing power. They have short range communication to the next layer with the use of Bluetooth. They can provide the data continuously with high time precisions, however, the symptoms and diagnosis can also be effectively inferred from the samples collected in the interval of a few minutes. Also, the longer intervals between consecutive measurements reduce the energy consumption resulting in relatively less battery recharge. These devices are generally the low-cost stand-alone systems that require less computing power and communication bandwidth. They require a middle layer known as inter connected gateways to transmit data to the high-end computing resources.
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Published in H. B. Glushakow, Energy Miracles, 2022
All over the world, pollution from the burning of fossil fuels is a major contributor to health conditions, including asthma, lung cancer, Alzheimer’s and Parkinson’s diseases, as well as heart disease. It is even said to worsen Covid-19 symptoms. As long as the planet continues its love affair with fossil fuels, air pollution will continue to worsen.
Atangana–Baleanu derivative-based fractional model of COVID-19 dynamics in Ethiopia
Published in Applied Mathematics in Science and Engineering, 2022
Mulualem Aychluh, S. D. Purohit, P. Agarwal, D. L. Suthar
In Wuhan, China, a fresh coronavirus infection began in December 2019 [1]. The disease was named a pandemic by the World Health Organization (WHO) on 11 March 2020 [2]. COVID-19 symptoms include fever, cough, headache, tiredness, and breathing difficulties. Physical distancing, face masks, hand washing, minimizing non-essential trips, lockdown of exposed cases, and school closures are all being used to slow the spread of this highly contagious disease [3–5]. Prevention of coronavirus disease in Ethiopia is difficult for a variety of reasons. Among them are the difficulties of screening infectious people, social problems, insufficient human power in treatment centres, less public awareness and the Ethiopian lifestyle [6]. These factors allow infectious and non-infectious individuals to interact.
Ex vivo treatment with fucoidan of mononuclear cells from SARS-CoV-2 infected patients
Published in International Journal of Environmental Health Research, 2022
K. J. G. Díaz-Resendiz, G. A. Toledo-Ibarra, R. Ruiz-Manzano, D.A. Giron Perez, C.E. Covantes-Rosales, A. B. Benitez-Trinidad, K. M Ramirez-Ibarra, A. T. Hermosillo Escobedo, I. González-Navarro, G.H. Ventura-Ramón, A. Romero Castro, D. Alam Escamilla, A. Y. Bueno-Duran, Manuel Iván Girón-Pérez
Main COVID-19 symptoms include fever, cough, sore throat, fatigue, sputum production, headache, rhinorrhea, sneezing, hemoptysis, viral RNAaemia, lymphopenia, gastrointestinal symptoms (diarrhea, nausea, vomiting), pneumonia, dyspnea with hypoxemia, acute respiratory distress syndrome, acute cardiac injury, cytokine storm, respiratory failure, and finally death (Huang et al. 2020; Chen et al. 2020a). Due to high mortality rates, it is imperative to develop a therapy based on the use of antiviral and immunomodulatory drugs, together with palliative symptom management as treatment for COVID-19. Currently, the best option to reduce the mortality rate is vaccination, as it has a substantial impact on mitigating outbreaks of COVID-19 variants; however, these vaccines must be available to people worldwide. Therefore, the search for substances as new treatments, complementary to actually used prescribed medical therapies, could be a faster and more cost-effective option for the recovery of COVID-19 (Delang and Neyts 2020).
Quantitative risk assessment of COVID-19 aerosol transmission indoors: a mechanistic stochastic web application
Published in Environmental Technology, 2023
Lucas Rocha-Melogno, Katherine Crank, Michael H. Bergin, Gregory C. Gray, Kyle Bibby, Marc A. Deshusses
COVID-19 symptoms begin after a median incubation time of 5.2 days in a distribution with a 95th percentile of 12.5 days [34]. However, viral loads peak early on the course of the disease (before symptom onset), with a median of 9 days from infection to viral clearance [13,35]. Considering these findings and their own, Binder et al. suggested that aerosol transmission may be most important early in the course of the disease, when people are more contagious [14]. Therefore, in our model, we assumed that the infected individual was shedding infectious virus at peak viral load. This assumption leads to conservative risk of infection estimates.