M
Maged N. Kamel Boulos
Researcher at Sun Yat-sen University
Publications - 126
Citations - 10788
Maged N. Kamel Boulos is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: The Internet & Health care. The author has an hindex of 43, co-authored 117 publications receiving 9499 citations. Previous affiliations of Maged N. Kamel Boulos include University of Bath & University of the Highlands and Islands.
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Enablers and inhibitors: A review of the situation regarding mHealth adoption in low- and middle-income countries
TL;DR: The review provides an insight about the challenges and opportunities related to mHealth adoption in developing countries and suggests implementation agencies should give careful consideration to these factors before designing and deploying any mHealth-enabled intervention.
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Scientific discourse 2.0. Will your next poster session be in Second Life
TL;DR: The expanding technologies of the Internet, telecommunications and computing have led to increasingly sophisticated and diverse methods of communication during the past decade, from simple text‐based chat rooms to online virtual worlds, these new technologies present novel ways to interact with one's peers and the public.
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Musings on the State of '3-D Virtual Worlds for Health and Healthcare' in 2009
TL;DR: Three-D virtual worlds for health and healthcare in 2009 by Maria Toro-Troconis and Maged N Kamel Boulos, University of Plymouth, UK.
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On geography and medical journalology: a study of the geographical distribution of articles published in a leading medical informatics journal between 1999 and 2004
TL;DR: The number of countries that contributed articles to one leading medical informatics journal, Medical Informatics & the Internet in Medicine, and the amount of their contributions between 1999 and the first half of 2004 are examined.
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Web GIS in practice II: interactive SVG maps of diagnoses of sexually transmitted diseases by Primary Care Trust in London, 1997 – 2003
TL;DR: These interactive maps have the potential of further supporting health planners and decision makers in their planning and management tasks by allowing them to graphically interrogate data, instantly spot trends, and make quick and effective visual comparisons of geographically differentiated phenomena between different geographical areas and over time.