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. 2020 Apr 22;5(4):e001954. doi: 10.1136/bmjgh-2019-001954

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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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Global app feature distribution (A), additionally clustered by location of initiation (B), year of release/last update (C), number of downloads (D) and sector (E). In figure part A, wedges are labelled with both the percentages and absolute frequencies of applications counted in each category, respectively. In figure parts B–D, absolute frequencies of anti-VAW apps are shown with reference to their location of initiation (B), year of release/last update (C), number of downloads (D) and sector (E). MENA: Middle East and North Africa.