JMIR - Journal of Medical Internet Research

Time 2020-07-02 13:04:07

Web Name: JMIR - Journal of Medical Internet Research

WebSite: http://www.jmir.org

ID:16947

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of,Journal,JMIR,

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Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you. Who will be affected? Readers: No access to all 28 journals. We recommend accessing our articles via PubMed Central Authors: No access to the submission form or your user account. Reviewers: No access to your user account. Please download manuscripts you are reviewing for offline reading before Wednesday, July 01, 2020 at 7:00 PM. Editors: No access to your user account to assign reviewers or make decisions. Copyeditors: No access to user account. Please download manuscripts you are copyediting before Wednesday, July 01, 2020 at 7:00 PM. The leading peer-reviewed journal for digital medicine and health and health care in the internet age See our COVID-19 Papers and Special Issues A text-mining analysis of public perceptions and topic modeling during the COVID-19 pandemic using Twitter data Background: Coronavirus disease (COVID-19) is a scientifically and medically novel disease that is not fully understood as it needs to be consistently and deeply studied. In the past, research on the COVID-19 outbreak was only able to predict quantity data such as the number of outbreaks, but not infoveillance data. Objective: This study aims to understand public perceptions on the trends of the COVID-19 pandemic and uncover meaningful themes of concern posted by Twitter users during the pandemic throughout the world. Methods: Data mining on Twitter was conducted to collect a total of 107,990 tweets between December 13 and March 9, 2020. The analysis included time series, sentiment analysis and topic modeling to identify the most common topics in the tweets as well as to categorize clusters and find themes from keyword analysis. Results: The results indicate three main aspects of public awareness and concerns regarding the COVID-19 pandemic. Firstly, the study indicated the trend of the spread and symptoms of COVID-19, which was divided into three stages. Secondly, the results of the sentiment analysis and emotional tendency showed that the people had a negative outlook toward COVID-19. Thirdly, topic modeling and themes relating to COVID-19 and the outbreak were divided into three categories, including (1) emergency of COVID-19 impact, (2) the epidemic situation and how to control it, and (3) news and social media reporting on the epidemic. Conclusions: Sentiment analysis and topic modeling can produce useful information about the trend of COVID-19 pandemic and alternative perspectives to investigate the COVID-19 crisis which has created considerable public awareness around the world. This finding shows that Twitter is a good communication channel for understanding both public concern and awareness about COVID-19 disease. These findings can help health departments to communicate information as to what the public thinks about the disease. Date Submitted: Jun 30, 2020 Open Peer Review Period: Jun 30, 2020 - Jul 8, 2020 Peer-Review Me PREreview + JMIR Publications Virtual COVID-19 Preprint Journal Club: April 14th, 2020 2020-04-06 PREreview + JMIR Publications Virtual COVID-19 Preprint Journal Club(Toronto/Portland, 27 March 2020) In addition to its' previous Call for COVID19 Papers, JMIR Publications has joined forces with PREreview to bring together scientists from across the globe for a virtual discussion and collaborative review of a recent preprint covering new research related to coronavirus SARS-COV-2 leading to the disease referred to as COVID-19.After our previous call for preprint nominations (archived here), the paper to be discussed at the journal club has now been selected:“Knowledge and behaviors toward COVID-19 among U.S. residents during the early days of the pandemic”Registration now open: The online journal club will be hosted by two facilitators who will guide participants through a constructive discussion of the preprint following a curated template. The moderators will be joined by an invited expert, the author of the preprint and researchers from all over the world including you!WHEN: April 14th, 2020, 12noon ETHOW: REGISTER NOW to join us and invite others to come along. Not sure if you can join yet? Sign up anyway to receive updates on the events and decide later.WHERE: The video conference software Zoom. Please register using the link above and we will send you the information on how to join the calls.Get ready to spend one hour with your fellows colleagues diving straight into the preprint and resurfacing with constructive feedback for the authors. A short version of the review will then be posted on Outbreak Science Rapid PREreview while the longer report will be posted on PREreview and receive a digital object identifier (DOI). Read Post The Journal of Medical Internet Research (JMIR), now in its 21st year, is the pioneer open access eHealth journal and is the flagship journal of JMIR Publications. It is the leading digital health journal globally in terms of quality/visibility (Impact Factor 2018:4.945, ranked #1 out of 26 journals in the medical informatics category) and in terms of size (number of papers published). The journal focuses on emerging technologies, medical devices, apps, engineering, and informatics applications for patient education, prevention, population health and clinical care. As a leading high-impact journal in its disciplines (health informatics and health services research), it is selective, but it is now complemented by almost 30 specialty JMIR sister journals, which have a broader scope. Peer-review reports are portable across JMIR journals and papers can be transferred, so authors save time by not having to resubmit a paper to different journals.As an open access journal, we are read by clinicians, allied health professionals, informal caregivers, and patients alike, and have (as with all JMIR journals) a focus on readable and applied science reporting the design and evaluation of health innovations and emerging technologies. We publish original research, viewpoints, and reviews (both literature reviews and medical device/technology/app reviews).We are also a leader in participatory and open science approaches, and offer the option to publish new submissions immediately as preprints, which receive DOIs for immediate citation (eg, in grant proposals), and for open peer-review purposes. We also invite patients to participate (eg, as peer-reviewers) and have patient representatives on editorial boards.Be a widely cited leader in the digitial health revolution andsubmit your paper today! Read More Show Less Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. Discover Social Media mentions by hovering over the donut. Click the 'details' link for a full report. A common development during COVID-19 has been renewed reliance on digital health. While prior to the pandemic the uptake of digital health technologies to directly strengthen public health systems had... Read Abstract Close A common development during COVID-19 has been renewed reliance on digital health. While prior to the pandemic the uptake of digital health technologies to directly strengthen public health systems had been unsatisfactory, the relentless acceleration during COVID-19 happened within healthcare systems and thus could not prescind from the organizational and institutional merits of the systems in which it was introduced. The Italian National Health Service (SSN) is strongly decentralized, with the national government exercising general stewardship and regions responsible for the delivery of healthcare services. These institutional characteristics, together with the substantial void of previous digital efforts, resulted in delays in the uptake of appropriate solutions, territorial differences and issues in the engagement of the appropriate healthcare professionals during the pandemic. A deeper analysis of the organizational context is not only instrumental in fully interpreting the digital health contribution during COVID-19 but should also provide the foundation for the digital reconstruction of what is to come after. The effects of online group mindfulness training on stress and sleep quality during the COVID-19 pandemic in Singapore: a retrospective equivalence trial Background: During the initial phases of the coronavirus disease 2019 (COVID-19)pandemic, there was an unfounded fervor surrounding the use of hydroxychloroquine (HCQ) and tocilizumab(TCZ): however, e... Read Abstract Close Background: During the initial phases of the coronavirus disease 2019 (COVID-19)pandemic, there was an unfounded fervor surrounding the use of hydroxychloroquine (HCQ) and tocilizumab(TCZ): however, evidence on their efficacy and safety have been controversial. Objective: We hypothesize that HCQ and TCZ use would be associated with a reduction in end-points of in-hospital mortality, upgrade to intensive care unit, mechanical ventilation, or acute renal failure necessitating dialysis. The objective of the study is to validate our hypothesis. Methods: A retrospective cohort study was performed to determine the impact of HCQ and TCZ use on hard clinical outcomes during hospitalization. Independent t-test and multivariate logistic regression analysis were performed to calculate mean differences and adjusted odds ratios (aOR) with its 95% confidence interval (CI), respectively. Results: A total of 176 hospitalized patients with confirmed COVID-19 were included. Patients were divided into two comparison groups HCQ vs. no-HCQ (n=144 vs. 32) and TCZ vs. no-TCZ (n=32 vs. n-144), respectively. The mean age, baseline comorbidities and other medications used during hospitalization were comparable among all the groups. The unadjusted odds ratio for patients upgraded to a higher level of care (OR 2.6, 95% CI 1.19-5.69, p=0.003) and reduction in C-reactive protein(CRP) level at day 7 of hospitalization (21% vs. 56%, OR 0.21, 95% CI 0.08-0.55, p=0.002) were significantly higher in the TCZ group compared to the control group. There was no significant difference in the odds of in-hospital mortality, upgrade to intensive medical care, need for invasive mechanical ventilation (IVM), acute kidney failure (AKI) necessitating dialysis, or discharge from the hospital after recovery in both TCZ and HCQ groups compared to their respective control groups. Adjusted odds ratios controlled for baseline comorbidities and medications closely followed the unadjusted estimates. Conclusions: In this cohort of patients with COVID-19, neither TCZ nor HCQ offered a significant reduction in in-hospital mortality, upgrade to intensive medical care, invasive mechanical ventilation, or acute renal failure needing dialysis. 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Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

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