JMIR Public Health and Surveillance
A multidisciplinary journal that focuses on public health and technology, public health informatics, mass media campaigns, surveillance, participatory epidemiology, and innovation in public health practice and research.
JMIR Public Health & Surveillance (JPH, Editor-in-chief: Patrick Sullivan, Emory University/Rollins School of Public Health) is a new sister journal of the Journal of Medical Internet Research (JMIR), the top cited journal in health informatics (Impact Factor 2015: 4.532). JPH is a multidisciplinary journal that focuses on innovation and technology in public health, and includes topics like health communication, public health informatics, surveillance, participatory epidemiology, infodemiology and infoveillance, digital disease detection, digital public health interventions, mass media/social media campaigns, and emerging population health analysis systems and tools.
We publish regular articles, reviews, protocols/system descriptions and viewpoint papers on all aspects of public health, with a focus on innovation and technology in public health.
Among other innovations, JPH is also dedicated to support rapid open data sharing and rapid open access to surveillance and outbreak data. As one of the novel features we plan to publish rapid or even real-time surveillance reports and open data. The methods and description of the surveillance system may be peer-reviewed and published only once in detail, in a "baseline report" (in a JMIR Res Protoc or a JMIR Public Health & Surveill paper), and authors then have the possibility to publish data and reports in frequent intervals rapidly and with only minimal additional peer-review (we call this article type "Rapid Surveillance Reports"). JMIR Publications may even work with authors/researchers and developers of selected surveillance systems on APIs for semi-automated reports (e.g. weekly reports to be automatically published in JPHS and indexed in PubMed, based on data-feeds from surveillance systems and minmal narratives and abstracts).
Furthermore, duing epidemics and public health emergencies, submissions with critical data will be processed with expedited peer-review to enable publication within days or even in real-time.
We also publish descriptions of open data resources and open source software. Where possible, we can and want to publish or even host the actual software or dataset on the journal website.
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Latest Submissions Open for Peer-Review:View All Open Peer Review Articles
High Burden of Unrecognized Atrial Fibrillation in Rural India: results from an innovative community-based cross-sectional screening program
Date Submitted: Aug 19, 2016
Open Peer Review Period: Aug 24, 2016 - Aug 31, 2016
Background: Atrial fibrillation, the world’s most common arrhythmia, is a leading risk factor for stroke, a disease striking nearly 1.6 million Indians annually. Early detection and management of At...
Background: Atrial fibrillation, the world’s most common arrhythmia, is a leading risk factor for stroke, a disease striking nearly 1.6 million Indians annually. Early detection and management of Atrial Fibrillation is a promising opportunity to prevent stroke but widespread screening programs in limited resource settings using conventional methods (ECG) is difficult and costly. Objective: To screen people for atrial fibrillation in rural western India using an FDA-approved single-lead ECG device, Alivecor Methods: Residents from six different villages in Anand District, Gujarat, India comprised the base population. After obtaining informed consent, a team of trained research coordinators and community health workers enrolled a total of 354 participants, aged 50 years and older, and screened them at their residences using Alivecor for two minutes on five consecutive days over a period of six weeks beginning June, 2015. Results: Almost two-thirds of study participants were 55 years or older, nearly half were female, one-third did not receive any formal education, and more than one-half were from households earning less than $2 per day. Twelve participants screened positive for atrial fibrillation yielding a sample prevalence of 5.1% (95% CI: 2.7 – 8.7); the characteristics of these individuals are shown in Table 2. Only one participant had persistent atrial fibrillation throughout all of their screenings and nine of them screened positive only once. Conclusions: Our study suggests a prevalence of atrial fibrillation in this Indian region (5.1%) that is markedly higher than has been previously reported in India and similar to the prevalence estimates reported in studies of persons from North America and Europe. Historically low reported burden of atrial fibrillation among individuals from low and middle-income countries may be due to a lack of routine screening. Mobile technologies may help overcome resource limitations for atrial fibrillation screening in underserved and low-resource settings.