Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
The pandemic/epidemic of COVID-19 has affected people worldwide. A huge number of lives succumbed to death due to the sudden outbreak of this corona virus infection. The specified symptoms of COVID-19 detection are very common like as normal flu; asymptomatic version of COVID-19 has become a critical issue. Therefore, as a precautionary measurement oxygen level needs to be monitored by every individual if no other critical condition is found. It is not the only parameter for COVID-19 detection but, as per the suggestions by different medical organizations such as WHO it is better to use oximeter to monitor the oxygen level in probable patients as a precaution. People are using the oximeters personally; however, not having any clue or guidance regarding the measurements obtained. Therefore, in this paper, we have shown a framework of oxygen level monitoring and severity calculation and probabilistic decision of being a COVID-19 patient. This framework is also able to maintain the privacy of patient information and uses probabilistic classification to measure the severity. Results are measured based on latency of blockchain creation and overall response, throughput, detection and severity accuracy. The analysis finds the solution efficient and significant in the IoT framework for the present health hazard in our world.
The pandemic/epidemic of COVID-19 has affected people worldwide. A huge number of lives succumbed to death due to the sudden outbreak of this corona virus infection. The specified symptoms of COVID-19 detection are very common like as normal flu; asymptomatic version of COVID-19 has become a critical issue. Therefore, as a precautionary measurement oxygen level needs to be monitored by every individual if no other critical condition is found. It is not the only parameter for COVID-19 detection but, as per the suggestions by different medical organizations such as WHO it is better to use oximeter to monitor the oxygen level in probable patients as a precaution. People are using the oximeters personally; however, not having any clue or guidance regarding the measurements obtained. Therefore, in this paper, we have shown a framework of oxygen level monitoring and severity calculation and probabilistic decision of being a COVID-19 patient. This framework is also able to maintain the privacy of patient information and uses probabilistic classification to measure the severity. Results are measured based on latency of blockchain creation and overall response, throughput, detection and severity accuracy. The analysis finds the solution efficient and significant in the IoT framework for the present health hazard in our world.
Abstract Introduction The COVID-19 pandemic spread across the globe, threatening almost all health systems, from the strongest to the most vulnerable, and the Sri Lankan health system was no exception. Since the COVID-19 pandemic became a serious public health threat in China, India, and other parts of the world, Sri Lanka has been on high alert and ready to respond. Objectives The purpose of this research is to describe how Sri Lanka's health system dealt with the COVID-19 pandemic using the world health organization's health systems building blocks framework, to assist policymakers in better understanding the deficiencies and planning future crisis management. Methods COVID-19-related documents about Sri Lanka were manually and electronically searched, including peer-reviewed articles in local and international journals, government publications such as circulars, guidelines, and reports, WHO and World Bank publications, regional and international news websites, and non-governmental organizations. Thematic analysis was used. Results and conclusions The Sri Lankan health system responded in a proactive and multi-sectoral manner. Before the pandemic hit the country, the hospital system and a well-established preventive health sector were prepared. However, issues such as human resource shortages, drug shortages, and other medical equipment shortages, as well as financial constraints, were difficult to manage. Delays in decision-making during the third wave led to negative outcomes for the country. However, the country was protected during the fourth wave due to committed vaccination and other timely preventive measures. Keywords: COVID-19, Response, Health system, Sri Lanka, Building blocks approach,
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.