Deadline for submission to this track: Sunday 25th May 2019
Notification of outcome to authors: Monday 22nd July 2019
The DPH 2019 conference review panel welcomes submissions from colleagues across professions and sectors with an interest in digital public health. The quality of the programme depends on your submissions and we thank you for choosing this conference to present and share your work.
Your work can be submitted to this track under one of the following categories:
- Long research paper – max. 5,000 words
- Short research paper – max. 2,500 words
- Abstract – max. 500 words. Medical abstracts may follow the medical paper structure (i.e. background, aims, methods, results, conclusions, references) but this is not essential
How to submit
All submissions to this track must be made via the online system. You will be prompted to create an ‘EasyChair’ account on your first visit if you do not already have one. Submissions must be submitted in the required format. Please refer to DPH submission guidance.
Submissions will be reviewed by the DPH 2019 review panel and authors will be notified of the outcome by Monday 22nd July.
Inclusion in proceedings and programme
Successful submissions will be published in the ACM Digital Public Health 2019 proceedings. Main track presenters will be allocated a 15-minute session (depending on programming) in which to orally present their work. This includes 10-minutes for presentation and 5-minutes for audience questions. Sessions will be grouped together with other presentations covering similar topics and/or methodologies. All presenters are expected to register and pay for the conference at the appropriate rate.
It is the authors’ responsibility to ensure that their submission adheres strictly to the required format and complies with DPH conference policies. Submissions that do not comply with the guidelines may be rejected without review. Any paper of four pages or more that has been accepted for a journal or conference after peer reviewing, constitutes previous work and will be considered as self-plagiarism and will influence the review panel’s assessment of the submission’s novelty and relevance.