ABI Research. Mobile Subscriber Forecast 2012. Available online at: https://www.abiresearch.com (Last accessed 5th April 2013).
2.
LesterRTRitvoPMillsEJKaririAKaranjaSChungMH. Effects of a mobile phone message service on anti-retroviral treatment adherence in Kenya (WelTel Kenya1): A randomised trial. The Lancet2010; 376(9755): 1838–45.
3.
ZurovacDSudoiRKAkhwaleWSNdirituMHamerDHRoweAK. The effect of mobile phone text-message reminders on Kenyan health workers’ adherence to malaria treatment guidelines: A cluster randomised trial. The Lancet2011; 378(9793): 795–803.
4.
IstepanianRLaxminarayanSPattichisC (eds) M-Health: Emerging Mobile Health Systems. New York: Springer, 2005.
5.
World Health Organization. mHealth: New Horizons for Health through Mobile Technologies’. Global Observatory for eHealth series, Adobe digital edition version, vol. 3. 2003. Available online at: http://www.who.int/goe/publications/goe_mhealth_web.pdf (Last accessed 7th May 2013).
6.
LabriqueA. Opportunities and Challenges for mHealth Strategies in Resource-Limited Settings. Health Informatics Grand Rounds Series, Johns Hopkins University Global mHealth Initiative, 2012. Available online at: http://www.jhumhealth.org (Last accessed 8th May 2013).
7.
ShieldsTChetleyADavisJ. Improving health, connecting people: The role of ICT in the health sector in developing countries: Summary of online consultations. InfoDev working paper series, 2005. Available online at: http://www.infodev.org/en/Document.486.pdf (Last accessed 7th June 2013).
8.
LemaireJ. Scaling up mobile health: Elements necessary for the successful scale up of mHealth in developing countries. White paper, 2011. Available online at: http://www.adaorganization.org (Last accessed 5th June 2013).
9.
MitchelKJBullSKiwanukaJYbarraML. Cell phone usage among adolescents in Uganda: Acceptability for relaying health information. Health Education Research2011; 26(5): 770–81.
10.
Earth Institute Center of Global Health and Economic Development Columbia University. Barriers and gaps affecting mHealth in low and middle income countries. Policy white paper, 2010. Available online at: http://cgsd.columbia.edu/files/2012/11/mHealthBarriersWhitePaperFINAL.pdf (Last accessed 8th July 2013).
11.
KrishnamurthyRFrolovAWolkonAVanden EngJHightowerA. Application of pre-programmed PDA devices equipped with global GPS to conduct paperless household surveys in rural Mozambique. America Medical Informatics Association Annual Symposium Proceedings2006; 991. Available online at: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1839572/ (Last accessed 4th June 2013).
12.
ParikhTSJavidPGhoshSKKToyamaK. Mobile phones and paper documents: Evaluating a new approach for capturing microfinance data in rural India. In Proceedings of the SIGCHI conference on human factors in computing systems, 2006, pp. 551–560. Available online at: http://classes.soe.ucsc.edu/ (Last accessed 5th June 2013).
13.
PatnaikSBrunskillEThiesW. Evaluating the Accuracy of Data Collection on Mobile Phones: A Study of Forms, SMS, and Voice. ICTD, 2009. Available online at: http://research.microsoft.com (Last accessed 8th June 2013).
14.
Research2guidance. Global mHealth developer survey: White paper summary of result. 2011. Available online at: http://www.research2guidance.com (Last accessed 7th June 2013).
KaplanWA. Can the ubiquitous power of mobile phones be used to improve health outcomes in developing countries?Globalization and Health2006; 2(9). Available online at: http://www.globalizationandhealth.com/content/2/1/9 (Last accessed 7th June 2013).