April 6, 2020
All submissions for this Special Issue will be charged at only 50% of the standard APC
We find ourselves in a global pandemic, referred to as COVID-19. There is much research underway on all aspects of the pandemic, including to slow its spread, improve diagnostic tests and develop a vaccine. Population Data Science has a unique part to play because of the availability of large-scale datasets on the general population or on specific cohorts, such as age groups, geographic regions, particular health conditions or socio-economic levels.
The datasets are being used in many ways, such as to contribute to mapping infection patterns, identifying at risk groups, modelling likely case numbers and predicting when risks might reduce. In some cases, additional datasets such as virus surveillance data, symptom tracking, and other study data are augmenting routine health and administrative datasets.
As well as studies involving data analysis, the pandemic is influencing how data are used under these circumstances, including what our policies should be, how to engage effectively with the public and how to manage data governance to preserve robustness and simultaneously expedite data access.
This special call covers all types of manuscript:
With the array of issues to consider, some manuscripts might be about research studies, others might be methodological, some might address the ethical, legal and social issues, or be about policy implications and impacts, amongst other possibilities.
- All manuscripts must be centred on Population Data Science, as per the scope of IJPDS.
- The 50% discount will remain open from 1st July - 31st October 2021 (please refer to the Author Guidelines for Article Processing Charges https://ijpds.org/author-guidelines)
- We will endeavour to expedite the review process and to publish articles in this special issue as a priority.
All submissions should be via the IJPDS website. If you have any queries or would like to send a draft abstract for advice, please firstname.lastname@example.org.