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1.
Information Sciences Letters ; 11(2):319-322, 2022.
Article in English | Scopus | ID: covidwho-1789764

ABSTRACT

We design and implement an advertising campaign using social media to encourage people to volunteer on online platforms as well as identify the effectiveness of online marketing in informing people and encouraging them to participate in volunteer platforms. It is shown that the expected turnout of young people to volunteer work through social networking platforms and awareness of the epidemic reduced its prevalence rate. © 2022, Natural Sciences Publishing. All rights reserved.

2.
Value in Health ; 25(1):S161-S162, 2022.
Article in English | EMBASE | ID: covidwho-1650272

ABSTRACT

Objectives: This study aimed to assess telemedicine utilization patterns offered by health providers and used by older Medicare beneficiaries during the coronavirus pandemic. Methods: The Medicare Current Beneficiary Survey (MCBS) supplemental COVID-19 survey -for Fall 2020 was used to identify Medicare beneficiaries (≥ 65 years) with a regular place for medical care and offered telemedicine during the pandemic. Major outcomes: prevalence for whether telemedicine was offered before and during the pandemic, telemedicine use, and digital access to telemedicine. Demographic factors associated with telemedicine use were identified using logistic regression. Results: The study sample included 4380 eligible older individuals (weighted sample: approximates 26.8 million US Medicare beneficiaries (≥ 65 years). Of those 42.9% made telemedicine visits during the pandemic. Approximately 60% of the telemedicine visits were made via telephone call only. Telemedicine was offered to 18% of Medicare beneficiaries before the pandemic vs. 64% during year 2020 of the pandemic. Both voice and video calls were offered to 45% of the respondents before the pandemic vs. 60.2% during the pandemic. Among telemedicine users, 57.2%, 28.3%, and 14.5% used voice calls, video calls, and both voice and video calls for appointments, respectively. Variations in overall telemedicine use were observed by sex, race, region. Beneficiaries with chronic condition numbering 2 to 3 or ≥ 4 were 38% or 119% more likely to use telemedicine. Individuals 65-74 years, female, in a metropolitan area, with higher income were more likely to make video visits. Experience of telecommunication via internet influenced telemedicine use significantly. Conclusions: Telemedicine offered to older Medicare beneficiaries increased dramatically during the coronavirus pandemic. Less than half of the beneficiaries made telemedicine visits. Demographic disparities were different in overall telemedicine use and type of telemedicine use.

3.
Journal of Computer Science ; 16(10):1477-1490, 2020.
Article in English | Scopus | ID: covidwho-953756

ABSTRACT

Today, the use of computer networks is evident in all walks of life, including mobile phones, vehicles, personal computers, the workplace and more. Creating and operating networks between each of the above-mentioned devices require good infrastructure to be able to communicate between these devices. To solve this problem, there were networks called ad-hoc networks, which were able to network with each other without the need for specific infrastructure and only through direct and wireless communication between the equipment. But how to make the right connections in these types of networks, as well as high-speed communication for devices, are also challenges for researchers. In this study, we try to implement the communication between these devices by the DSR routing algorithm and, using the Q learning technique of the reinforced learning algorithm, we enhance it to respond to QOS in Ad-Hoc mobile networks compared to previous solutions. In addition to what has been improved in this article. In the following articles, we will try to improve the discussion of communication security using this method and also apply this method to routing VANETs networks. © 2020 © 2020 Ehsan Moqimi, Amir Najafi and Mojtaba Ajami. This open access article is distributed under a Creative Commons Attribution (CC-BY) 3.0 license.

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