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A multidisciplinary journal that focuses on the intersection of 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 (JPHS, Editor-in-chief: Travis Sanchez, Emory University/Rollins School of Public Health) is a PubMed-indexed, peer-reviewed sister journal of the Journal of Medical Internet Research (JMIR), the top cited journal in health informatics, ranked #1 by Clarivate's Journal Impact Factor. JPH is a multidisciplinary journal with a unique focus on the intersection of 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.
Apart from publishing traditional public health research and viewpoint papers as well as reports from traditional surveillance systems, JPH was one of the first (if not the only) peer-reviewed journal which publishes papers with surveillance or pharmacovigilance data from non-traditional, unstructured big data and text sources such as social media and the Internet (infoveillance, digital disease detection), or reports on novel participatory epidemiology projects, where observations are solicited from the public.
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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A real-time methodology for monitoring flu activity in middle income countries that is simultaneously accurate and generalizable has not yet been presented. We demonstrate here that a self-correcting...
A real-time methodology for monitoring flu activity in middle income countries that is simultaneously accurate and generalizable has not yet been presented. We demonstrate here that a self-correcting machine learning method leveraging Internet-based search activity produces reliable and timely flu estimates in multiple Latin American countries.
Background: Male condoms are underutilized despite their ability to prevent transmission of HIV and other sexually transmitted infections. The perception of decreased sexual pleasure and poor condom f...
Background: Male condoms are underutilized despite their ability to prevent transmission of HIV and other sexually transmitted infections. The perception of decreased sexual pleasure and poor condom fit are major contributors to condom nonuse. Objective: The purpose of this study was to compare event-level performance and pleasure among fitted, thin and standard condoms among MSM and men who sex with women (MSW) and to assess condom type preference. We present the study design and enrollment data from the trial. Methods: This study recruited sexually active men aged 18-54 in Atlanta, Georgia, United States. We enrolled 252 MSM and 252 MSW in a double-blind, three-way randomized crossover trial with conditions of fitted, thin, and standard condoms. A permuted block randomization scheme was used to assign each participant to the sequence in which they received each type of study condom. After a baseline screening and enrollment visit, randomized participants were followed for at least 6 and up to 12 weeks depending on their use of study condoms in each two-week period between scheduled, in-person study visits. Participants were instructed to complete mobile-optimized coital logs as soon as possible after using condoms for anal or vaginal sex acts. The logs collected event-level pleasure and performance measures for the study condoms as well as other relevant data. A questionnaire was administered at the final study visit to assess overall study condom preference. Results: The study enrolled 252 MSM and 252 MSW, a total of 504 participants. MSM and MSW study arms were similar for a number of key traits including race/ethnicity, marital status, self-rated condom experience, and recent experience of condom failure. Men in the MSM arm were older, however, and fewer MSM were students. The majority of participants in both arms rated themselves as “very experienced” with using condoms, and the majority had used condoms recently. Over one-third of participants in each arm reported experiencing condom failure in the last six months. Conclusions: This is the first condom trial to compare the performance of standard, thin and fitted condoms, and to use pleasure and preference as primary outcomes. Given the disparate impact of HIV on MSM, equal enrollment of MSM and MSW was a key feature of this study. Trial results may inform an FDA label indication for anal sex, as well as provide new information regarding the relative performance of different types of condoms. Clinical Trial: ClinicalTrials.gov NCT02753842 (Registered 28th of April 2016)
Background: Facebook advertisements are an important way for public health agencies and researchers to reach gay and bisexual men (gbMSM). However, few published studies have examined how to maximize...
Background: Facebook advertisements are an important way for public health agencies and researchers to reach gay and bisexual men (gbMSM). However, few published studies have examined how to maximize engagement by tailoring and targeting Facebook advertisements to this population. Objective: To determine whether different types of ad messaging and imagery were associated with greater user engagement among male Facebook users, aged 18+, in Vancouver, Toronto, and Montreal. Methods: We compared the success of 24 Facebook ad campaigns – varied by image type (Neutral vs. Sexy), message (Financial Incentive, Altruism, Personal Health), target location (Vancouver, Toronto, and Montreal), language (English, French), and target demographics (age: 18-24, 25-34, 35-44, 45-54, 55-64, 65+). Bivariate and multivariable Poisson regression models tested the effect of each variable on the ad’s click rate (i.e., number of clicks on ad / number of users shown ad) controlling for average number of impressions per person. Interaction terms between age and image type and between age and message type were also considered in our final multivariable models to explore the role of age in shaping engagement behavior. Results: A total of 351,624 impressions among 257,136 users were made, resulting in 4,267 clicks. At the bivariate level, a sexy image (vs. a neutral image) and a financial incentive message (vs. an altruistic message) were predictive of higher click rates. However, in multivariable modeling, the success of the sexualized image appeared to be driven primarily by its popularity among older men – as suggested by the positive association for older men in the interaction effect (P < 0.001). Similarly, for messaging, the success of the financial incentive message appeared to be negatively associated with age in the interaction effect (P < 0.001) – suggestive of its popularity among younger users. Nevertheless, the main effect for the financial incentive image remained strong and positive even when controlling for the interaction term (P < 0.001). Conclusions: These results demonstrate that both user targets and post-related characteristics impact user engagement. Furthermore, it was found that post and user characteristics have the potential to interact – highlighting the importance of considering not only the content of advertisements, but to whom they are tailored. Future studies are needed to understand what motivates specific sub-groups of gbMSM to engage with tailored content on Facebook.