Published on in Vol 3 , No 1 (2015) :Jan-Mar

Analyzing the Mobile “Digital Divide”: Changing Determinants of Household Phone Ownership Over Time in Rural Bangladesh

Analyzing the Mobile “Digital Divide”: Changing Determinants of Household Phone Ownership Over Time in Rural Bangladesh

Analyzing the Mobile “Digital Divide”: Changing Determinants of Household Phone Ownership Over Time in Rural Bangladesh

Journals

  1. Ali J, DiStefano M, Coates McCall I, Gibson D, Al Kibria G, Pariyo G, Labrique A, Hyder A. Ethics of mobile phone surveys to monitor non-communicable disease risk factors in low- and middle-income countries: A global stakeholder survey. Global Public Health 2019;14(8):1167 View
  2. Gibson D, Pereira A, Farrenkopf B, Labrique A, Pariyo G, Hyder A. Mobile Phone Surveys for Collecting Population-Level Estimates in Low- and Middle-Income Countries: A Literature Review. Journal of Medical Internet Research 2017;19(5):e139 View
  3. Alam M, Banwell C, Olsen A, Lokuge K. Patients’ and Doctors’ Perceptions of a Mobile Phone–Based Consultation Service for Maternal, Neonatal, and Infant Health Care in Bangladesh: A Mixed-Methods Study. JMIR mHealth and uHealth 2019;7(4):e11842 View
  4. Haenssgen M, Ariana P. The Social Implications of Technology Diffusion: Uncovering the Unintended Consequences of People’s Health-Related Mobile Phone Use in Rural India and China. World Development 2017;94:286 View
  5. Vallières F, McAuliffe E, Van Bavel B, J. Wall P, Trye A. There’s No App for That: Assessing the Impact of mHealth on the Supervision, Motivation, Engagement, and Satisfaction of Community Health Workers in Sierra Leone. Annals of Global Health 2017;82(5):936 View
  6. Lamanna C, Hachhethu K, Chesterman S, Singhal G, Mwongela B, Ng’endo M, Passeri S, Farhikhtah A, Kadiyala S, Bauer J, Rosenstock T, West B. Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya. PLOS ONE 2019;14(1):e0210050 View
  7. Bishwajit G, Hoque M, Yaya S. Disparities in the use of mobile phone for seeking childbirth services among women in the urban areas: Bangladesh Urban Health Survey. BMC Medical Informatics and Decision Making 2017;17(1) View
  8. Labrique A, Blynn E, Ahmed S, Gibson D, Pariyo G, Hyder A. Health Surveys Using Mobile Phones in Developing Countries: Automated Active Strata Monitoring and Other Statistical Considerations for Improving Precision and Reducing Biases. Journal of Medical Internet Research 2017;19(5):e121 View
  9. Khatun F, Heywood A, Hanifi S, Rahman M, Ray P, Liaw S, Bhuiya A. Gender differentials in readiness and use of mHealth services in a rural area of Bangladesh. BMC Health Services Research 2017;17(1) View
  10. Biswas K, Hossain A, Chowdhury R, Andersen K, Sultana S, Shahidullah S, Pearson E. Using mHealth to Support Postabortion Contraceptive Use: Results From a Feasibility Study in Urban Bangladesh. JMIR Formative Research 2017;1(1):e4 View
  11. Khan N, Rasheed S, Sharmin T, Siddique A, Dibley M, Alam A. How can mobile phones be used to improve nutrition service delivery in rural Bangladesh?. BMC Health Services Research 2018;18(1) View
  12. Ahmed T, Rizvi S, Rasheed S, Iqbal M, Bhuiya A, Standing H, Bloom G, Waldman L. Digital Health and Inequalities in Access to Health Services in Bangladesh: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(7):e16473 View
  13. Forenbacher I, Husnjak S, Cvitić I, Jovović I. Determinants of mobile phone ownership in Nigeria. Telecommunications Policy 2019;43(7):101812 View
  14. Keenan K, Footman K, Sadekin M, Reiss K, Yasmin R, Franklin H, Church K. Using a Call Center to Reduce Harm From Self-Administration of Reproductive Health Medicines in Bangladesh: Interrupted Time-Series. JMIR Public Health and Surveillance 2019;5(3):e12233 View
  15. Gonsalves L, Njeri W, Schroeder M, Mwaisaka J, Gichangi P. Research and Implementation Lessons Learned From a Youth-Targeted Digital Health Randomized Controlled Trial (the ARMADILLO Study). JMIR mHealth and uHealth 2019;7(8):e13005 View
  16. Jadhav A, Weis J. Mobile phone ownership, text messages, and contraceptive use: Is there a digital revolution in family planning?. Contraception 2020;101(2):97 View
  17. Ashraf S, Moore C, Gupta V, Chowdhury A, Azad A, Singh N, Hagan D, Labrique A. Overview of a multi-stakeholder dialogue around Shared Services for Health: the Digital Health Opportunity in Bangladesh. Health Research Policy and Systems 2015;13(1) View
  18. Khatun F, Heywood A, Ray P, Hanifi S, Bhuiya A, Liaw S. Determinants of readiness to adopt mHealth in a rural community of Bangladesh. International Journal of Medical Informatics 2015;84(10):847 View
  19. Joshi A, Malhotra B, Amadi C, Loomba M, Misra A, Sharma S, Arora A, Amatya J. Gender and the Digital Divide Across Urban Slums of New Delhi, India: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(6):e14714 View
  20. Alam M, Banwell C, Lokuge K. The Effect of Women’s Differential Access to Messages on Their Adoption of Mobile Health Services and Pregnancy Behavior in Bangladesh: Retrospective Cross-Sectional Study. JMIR mHealth and uHealth 2020;8(7):e17665 View
  21. Eckersberger E, Pearson E, Andersen K, Hossain A, Footman K, Biswas K, Nuremowla S, Reiss K. Developing mHealth Messages to Promote Postmenstrual Regulation Contraceptive Use in Bangladesh: Participatory Interview Study. JMIR mHealth and uHealth 2017;5(12):e174 View
  22. Ali J, Labrique A, Gionfriddo K, Pariyo G, Gibson D, Pratt B, Deutsch-Feldman M, Hyder A. Ethics Considerations in Global Mobile Phone-Based Surveys of Noncommunicable Diseases: A Conceptual Exploration. Journal of Medical Internet Research 2017;19(5):e110 View
  23. McCool J, Dobson R, Muinga N, Paton C, Pagliari C, Agawal S, Labrique A, Tanielu H, Whittaker R. Factors influencing the sustainability of digital health interventions in low-resource settings: Lessons from five countries. Journal of Global Health 2020;10(2) View
  24. Carrillo M, Kroeger A, Cardenas Sanchez R, Diaz Monsalve S, Runge-Ranzinger S. The use of mobile phones for the prevention and control of arboviral diseases: a scoping review. BMC Public Health 2021;21(1) View
  25. Liang L, Shrestha R, Ghosh S, Webb P, Zanello G. Using mobile phone data helps estimate community-level food insecurity: Findings from a multi-year panel study in Nepal. PLOS ONE 2020;15(11):e0241791 View
  26. Hensen B, Mackworth-Young C, Simwinga M, Abdelmagid N, Banda J, Mavodza C, Doyle A, Bonell C, Weiss H. Remote data collection for public health research in a COVID-19 era: ethical implications, challenges and opportunities. Health Policy and Planning 2021;36(3):360 View
  27. Mistry S, Akter F, Yadav U, Hossain M, Sichel A, Labrique A, Storisteanu D. Factors associated with mobile phone usage to access maternal and child healthcare among women of urban slums in Dhaka, Bangladesh: a cross-sectional study. BMJ Open 2021;11(4):e043933 View
  28. Chang S, Jang S, Lee H, Kim H. Building on Evidence to Improve eHealth Literacy in Older Adults. CIN: Computers, Informatics, Nursing 2021;39(5):241 View
  29. Raihan S, Uddin M, Ahmmed S. Dynamics of Youth and Gender Divide in Technology in Bangladesh. South Asia Economic Journal 2021:139156142110291 View

Books/Policy Documents

  1. Estella S, Gibson J. Service-Oriented Mapping. View
  2. Gilbert M, Masucci M. Handbook of the Changing World Language Map. View
  3. Gilbert M, Masucci M. Handbook of the Changing World Language Map. View