Test 1
Name
Institution
Course Unit
Instructor
Date
Test 1
What I Understand by COVID-19
COVID-19 is an airborne viral disease that is currently prevalent all over the world. Medical practitioners first identified the disease in Wuhan, China, towards the end of 2019, and the disease has soon spread to 215 countries worldwide (Zu et al., 2020). Additionally, COVID-19 has different effects on different people. While other people may experience mild symptoms of the virus, others may experience the virus’s adverse effects. The disease manifests through symptoms like a dry cough, high fever, a sore throat, and general fatigue. Other patients with COVID-19 also diarrhea and have headaches, while others may lose their sense of taste and smell.
What I Understand About Plagiarism
Plagiarism is the use of another author’s idea without giving the author due credit. Plagiarism is comprehensive as it could also involve using a person’s piece of art and presenting it as one’s art (Gasparyan et al., 2017). Plagiarism could also imply paraphrasing another author’s expressions but failing to acknowledge him/her.
Passage Paraphrase
It is crucial to inform the public that a new pandemic can easily spread rapidly. According to Amiri and Bahaadinbeigy, (2020), research from various disciplines should create awareness among the populace on how pandemics that rapidly spread can be managed.
This study analyses evidence from various articles on how experts are using different technological strategies to slow the spread of COVID-19. According to the authors of this article, the integration of various technological strategies in curbing the spread of COVID-19 is significant. It has helped slow the infection rate of the disease worldwide (Amiri & Bahaadinbeigy, 2020).
The articles reviewed by the authors of this article contain information on how technological tools can be used to test for COVID-19 and reduce the spread of the same. Several studies reveal that artificial intelligence and machine learning algorithms are among the most critical technological strategies for testing the presence of COVID-19.
At the same time, research shows that scientists are well informed on algorithms’ role and importance and the need for carrying out researchers on intelligent systems (Amiri & Bahaadinbeigy, 2020).
The review of these articles shows that in 2018, machine learning algorithms combined with artificial intelligence helped patients in various healthcare issues (Amiri & Bahaadinbeigy, 2020). For example, learning algorithms and artificial intelligence have previously been used to treat viral diseases like Ebola and MERS. However, the acquisition of relevant knowledge remains a challenge to implementing technology-based strategies in managing viral infections. For example, in the event a neural network needs to be designed, then the number of samples that would conveniently be needed to pass the knowledge would limit the design (Amiri & Bahaadinbeigy, 2020). A solution is, therefore, inevitable.
Prior studies have also shown that GIS and global tracking systems can effectively identify infected persons and their contacts using environmental data (Amiri & Bahaadinbeigy, 2020).
References
Amiri, P., & Bahaadinbeigy, K. (2020). The Role of Electronic Health in the Coronavirus Disease Crisis: A Systematic Review of Documents. Frontiers in Health Informatics, 9(1), 35.
Gasparyan, A. Y., Nurmashev, B., Seksenbayev, B., Trukhachev, V. I., Kostyukova, E. I., & Kitas, G. D. (2017). Plagiarism in the context of education and evolving detection strategies. Journal of Korean medical science, 32(8), 1220-1227.
Zu, Z. Y., Jiang, M. D., Xu, P. P., Chen, W., Ni, Q. Q., Lu, G. M., & Zhang, L. J. (2020). Coronavirus disease 2019 (COVID-19): a perspective from China. Radiology, 200490.