Automatic Face Mask Detection System in Public Transportation in Smart Cities Using IoT and Deep Learning

Electronics, Journal Year: 2022, Volume and Issue: 11(6), P. 904 - 904

Published: March 15, 2022

The World Health Organization (WHO) has stated that the spread of coronavirus (COVID-19) is on a global scale and wearing face mask at work only effective way to avoid becoming infected with virus. pandemic made governments worldwide stay under lock-downs prevent virus transmissions. Reports show masks would reduce risk transmission. With rise in population cities, there greater need for efficient city management today’s world reducing impact COVID-19 disease. For smart cities prosper, significant improvements occur public transportation, roads, businesses, houses, streets, other facets life will have be developed. current bus transportation system, such as it is, should expanded artificial intelligence. autonomous detection alert system are needed find whether person or not. This article presents novel IoT-based especially buses. collect real-time data via facial recognition. main objective paper detect presence video stream by utilizing deep learning, machine image processing techniques. To achieve this objective, hybrid learning model was designed implemented. evaluated using new dataset addition datasets. results showed transformation Convolution Neural Network (CNN) classifier better performance over Deep (DNN) classifier; almost complete face-identification capabilities respect people’s case where they masks, an error rate 1.1%. Overall, compared standard models, AlexNet, Mobinet, You Only Look Once (YOLO), proposed performance. Moreover, experiments can faces accurately low inference time memory, thus meeting IoT limited resources.

Language: Английский

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A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality

Epidemiology and Infection, Journal Year: 2022, Volume and Issue: 150

Published: Jan. 1, 2022

The coronavirus disease 2019 (COVID-19), with new variants, continues to be a constant pandemic threat that is generating socio-economic and health issues in manifold countries. principal goal of this study develop machine learning experiment assess the effects vaccination on fatality rate COVID-19 pandemic. Data from 192 countries are analysed explain phenomena under study. This algorithm selected two targets: number deaths rate. Results suggest that, based respective plan, turnout participation campaign, doses administered, suddenly have reduction precisely at point where cut effect generated neural network. result significant for international scientific community. It would demonstrate effective impact campaign COVID-19, whatever country considered. In fact, once has started (for vaccines require booster, we refer least first dose), antibody response people seems prevent probability death related COVID-19. short, certain point, collapses increasing administered. All these results here can help decisions policymakers prepare optimal strategies, plans, lessen negative crisis socioeconomic systems.

Language: Английский

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Identifying interlinkages between urbanization and Sustainable Development Goals

Geography and sustainability, Journal Year: 2022, Volume and Issue: 3(4), P. 339 - 346

Published: Oct. 26, 2022

Language: Английский

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Environment and COVID-19 incidence: A critical review

Journal of Environmental Sciences, Journal Year: 2022, Volume and Issue: 124, P. 933 - 951

Published: Feb. 21, 2022

Language: Английский

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Effective Contact Tracing System Minimizes COVID-19 Related Infections and Deaths: Policy Lessons to Reduce the Impact of Future Pandemic Diseases

Journal of Public Administration and Governance, Journal Year: 2022, Volume and Issue: 12(3)

Published: Aug. 24, 2022

One of the fundamental questions in presence Coronavirus Diseases 2019 (COVID-19) pandemic crisis and general new diseases is to design effective policy responses reduce impact initial phase diffusion, when appropriate therapies drugs lack. This study analyses a main case given by Italy, one first European countries be damaged COVID-19 pandemic. In particular, this focuses on health across selected Italian regions that were areas experience rapid increase confirmed cases deaths COVID-19. The analysis early regional policies, from January July 2020 (during wave pandemic), reveals some have managed with based on: a) timely widespread testing individuals, b) units epidemiological investigation pervasive contact-tracing system detect isolate all infected people. response has reduced total negative effects people during wave, are not available pharmaceutical interventions, such as vaccines other antiviral drugs. evidence provides important lessons an public constraint future waves driven variants viral agents, ready.

Language: Английский

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Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 214, P. 119009 - 119009

Published: Oct. 26, 2022

Language: Английский

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High potential of technology to face new respiratory viruses: mechanical ventilation devices for effective healthcare to next pandemic emergencies

Technology in Society, Journal Year: 2023, Volume and Issue: 73, P. 102233 - 102233

Published: March 21, 2023

Some countries in the presence of unforeseen Coronavirus Disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have experienced lower total deaths, though higher numbers COVID-19 related infections. Results here suggest that one explanations is critical role ventilator technology clinical health environment to cope with initial stage pandemic crisis. Statistical evidence shows a large number ventilators or breathing devices (26.76 units per 100,000 inhabitants) associated fatality rate 1.44% (December 2020), whereas given 2.46% nations (10.38 average people). These findings medical setting has high potential for more efficient healthcare and improves effective preparedness crisis management new diseases society. Hence, forward-thinking technology-oriented strategy sector, based on investments high-tech other technologies, can help clinicians deliver care reduce negative effects present future infectious diseases, particular when drugs appropriate treatments are missing face unknown viral agents .

Language: Английский

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Meta-analysis to explain unknown causes of the origins of SARS-COV-2

Environmental Research, Journal Year: 2022, Volume and Issue: 211, P. 113062 - 113062

Published: March 5, 2022

Language: Английский

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Workplace violence against healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(30), P. 74838 - 74852

Published: May 20, 2023

Language: Английский

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Negative effects of high public debt on health systems facing pandemic crisis: Lessons from COVID-19 in Europe to prepare for future emergencies

AIMS Public Health, Journal Year: 2024, Volume and Issue: 11(2), P. 477 - 498

Published: Jan. 1, 2024

<p>The investigation goal here was to analyze how the level of public debt affects preparedness health systems face emergencies. In particular, this study examined negative effects high on European countries in presence COVID-19 pandemic crisis. Empirical evidence revealed that with a lower government as percentage GDP both 2009 and 2019 (the period before arrival pandemic) had fatality rates compared higher levels debt. The explanation is trigger budget constraints limit their ability allocate resources healthcare (e.g., expenditures investments), weakening system performance causing systemic vulnerability during emergencies, such pandemic. Implications policies are suggested improve strategies crisis management.</p>

Language: Английский

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