This paper is in the following e-collection/theme issue:

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Demographics of Users, Social & Digital Divide (739)

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

Authors of this article:

Michael Clifton Tran1 Author Orcid Image ;   Alain Bernard Labrique1 Author Orcid Image ;   Sucheta Mehra1 Author Orcid Image ;   Hasmot Ali2 Author Orcid Image ;   Saijuddin Shaikh2 Author Orcid Image ;   Maithilee Mitra1 Author Orcid Image ;   Parul Christian1 Author Orcid Image ;   Keith West Jr1 Author Orcid Image
Article Authors Cited by (49) Tweetations (16) Metrics

Journals

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  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
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  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;22(2):205 View
  30. Maliwichi P, Mthoko H, Chigona W, Mburu C, Densmore M. Does mobile phone ownership matter? Insights on engagement in mHealth and e-government interventions from Southern Africa. International Journal of Health Promotion and Education 2024;62(4):209 View
  31. Khan F, Mullany L, Wu L, Ali H, Shaikh S, Alland K, West Jr K, Labrique A. Predictors of neonatal mortality: development and validation of prognostic models using prospective data from rural Bangladesh. BMJ Global Health 2020;5(1):e001983 View
  32. Worges M, Kamala B, Yukich J, Chacky F, Lazaro S, Dismas C, Aroun S, Ibrahim R, Khamis M, Gitanya M, Mwingizi D, Metcalfe H, Bantanuka W, Deku S, Dadi D, Serbantez N, Loll D, Koenker H. Estimation of bed net coverage indicators in Tanzania using mobile phone surveys: a comparison of sampling approaches. Malaria Journal 2022;21(1) View
  33. Rahman M, Ara T, Chakma R. Explaining geospatial variation in mobile phone ownership among rural women of Bangladesh: A multi-level and multidimensional approach. Telecommunications Policy 2022;46(5):102289 View
  34. Paudel S, Owen A, Owen N, Smith B. Trends in television viewing and overweight /obesity among Nepalese women: Findings from 2006, 2011 and 2016 Nepal Demographic and Health Surveys. Nutrition, Metabolism and Cardiovascular Diseases 2022;32(2):382 View
  35. Yepes M, Maurer J, Viswanathan B, Gedeon J, Bovet P. Potential Reach of mHealth Versus Traditional Mass Media for Prevention of Chronic Diseases: Evidence From a Nationally Representative Survey in a Middle-Income Country in Africa. Journal of Medical Internet Research 2016;18(5):e114 View
  36. Islam F, Lambert E, Islam S, Hosen M, Thompson B, Lambert G. Understanding the sociodemographic factors associated with intention to receive SMS messages for health information in a rural area of Bangladesh. BMC Public Health 2021;21(1) View
  37. Gibson D, Wosu A, Pariyo G, Ahmed S, Ali J, Labrique A, Khan I, Rutebemberwa E, Flora M, Hyder A. Effect of airtime incentives on response and cooperation rates in non-communicable disease interactive voice response surveys: randomised controlled trials in Bangladesh and Uganda. BMJ Global Health 2019;4(5):e001604 View
  38. Kibria G, Hashan M, Hanif A, Maniar V, Shawon M, Mukumbang F. Mobile phone use for pregnancy-related healthcare utilization and its association with optimum antenatal care and hospital delivery in Bangladesh. PLOS Global Public Health 2023;3(4):e0001762 View
  39. Labrique A, Nagarajan M, Kibria G, Vecino-Ortiz A, Pariyo G, Ali J, Kaufman M, Gibson D, Pry J. Improving success of non-communicable diseases mobile phone surveys: Results of two randomized trials testing interviewer gender and message valence in Bangladesh and Uganda. PLOS ONE 2023;18(5):e0285155 View
  40. Kibria G, Nayeem J, Malta M. Trends and factors associated with mobile phone ownership among women of reproductive age in Bangladesh. PLOS Global Public Health 2023;3(5):e0001889 View
  41. Nomali M, Mehrdad N, Heidari M, Ayati A, Yadegar A, Payab M, Olyaeemanesh A, Larijani B. Challenges and solutions in clinical research during the COVID‐19 pandemic: A narrative review. Health Science Reports 2023;6(8) View
  42. Kibria G, Ahmed S, Khan I, Fernández-Niño J, Vecino-Ortiz A, Ali J, Pariyo G, Kaufman M, Sen A, Basu S, Gibson D, Kajungu D. Developing digital tools for health surveys in low- and middle-income countries: Comparing findings of two mobile phone surveys with a nationally representative in-person survey in Bangladesh. PLOS Global Public Health 2023;3(7):e0002053 View
  43. Ramesh R, Oswald W, Israel G, Aruldas K, Galagan S, Legge H, Puthupalayam Kaliappan S, Walson J, Halliday K, Ajjampur S. Representativeness of a mobile phone-based coverage evaluation survey following mass drug administration for soil-transmitted helminths: a comparison of participation between two cross-sectional surveys. BMJ Open 2023;13(10):e070077 View
  44. Jafrin N, Akhter H, Saif A, Said F, Ghosh D. Investigating the antecedents of mHealth adoption by older adults in a lower-middle income country: The PLS-MGA approach. Educational Gerontology 2024;50(9):845 View
  45. Islam T, Uthso N. Investigating the causal relationship between wealth index and ICT skills: a mediation analysis approach. Scientific Reports 2024;14(1) 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