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Citing this Article

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Published on 25.02.15 in Vol 3, No 1 (2015): Jan-Mar

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

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

Michael Clifton Tran, Alain Bernard Labrique, Sucheta Mehra, Hasmot Ali, Saijuddin Shaikh, Maithilee Mitra, Parul Christian, Keith West Jr

JMIR Mhealth Uhealth 2015 (Feb 25); 3(1):e24 

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.3663):

(note that this is only a small subset of citations)

  1. Ali J, DiStefano MJ, Coates McCall I, Gibson DG, Al Kibria GM, Pariyo GW, Labrique AB, Hyder AA. 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
    CrossRef
  2. Gibson DG, Pereira A, Farrenkopf BA, Labrique AB, Pariyo GW, Hyder AA. 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
    CrossRef
  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
    CrossRef
  4. Haenssgen MJ, 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
    CrossRef
  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
    CrossRef
  6. Lamanna C, Hachhethu K, Chesterman S, Singhal G, Mwongela B, Ng’endo M, Passeri S, Farhikhtah A, Kadiyala S, Bauer J, Rosenstock TS, West BT. Strengths and limitations of computer assisted telephone interviews (CATI) for nutrition data collection in rural Kenya. PLOS ONE 2019;14(1):e0210050
    CrossRef
  7. Bishwajit G, Hoque MR, 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)
    CrossRef
  8. Labrique A, Blynn E, Ahmed S, Gibson D, Pariyo G, Hyder AA. 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
    CrossRef
  9. Khatun F, Heywood AE, Hanifi SMA, Rahman MS, Ray PK, 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)
    CrossRef
  10. Biswas KK, Hossain A, Chowdhury R, Andersen K, Sultana S, Shahidullah SM, Pearson E. Using mHealth to Support Postabortion Contraceptive Use: Results From a Feasibility Study in Urban Bangladesh. JMIR Formative Research 2017;1(1):e4
    CrossRef
  11. Khan NUZ, Rasheed S, Sharmin T, Siddique AK, 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)
    CrossRef
  12. Ahmed T, Rizvi SJR, 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
    CrossRef
  13. Forenbacher I, Husnjak S, Cvitić I, Jovović I. Determinants of mobile phone ownership in Nigeria. Telecommunications Policy 2019;43(7):101812
    CrossRef
  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
    CrossRef
  15. Gonsalves L, Njeri WW, 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
    CrossRef
  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
    CrossRef
  17. Ashraf S, Moore C, Gupta V, Chowdhury A, Azad AK, Singh N, Hagan D, Labrique AB. 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)
    CrossRef
  18. Khatun F, Heywood AE, Ray PK, 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
    CrossRef
  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
    CrossRef
  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
    CrossRef
  21. Eckersberger E, Pearson E, Andersen K, Hossain A, Footman K, Biswas KK, 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
    CrossRef
  22. Ali J, Labrique AB, Gionfriddo K, Pariyo G, Gibson DG, Pratt B, Deutsch-Feldman M, Hyder AA. Ethics Considerations in Global Mobile Phone-Based Surveys of Noncommunicable Diseases: A Conceptual Exploration. Journal of Medical Internet Research 2017;19(5):e110
    CrossRef
  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)
    CrossRef
  24. Carrillo MA, 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)
    CrossRef
  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
    CrossRef
  26. Hensen B, Mackworth-Young CRS, Simwinga M, Abdelmagid N, Banda J, Mavodza C, Doyle AM, Bonell C, Weiss HA. 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
    CrossRef
  27. Mistry SK, Akter F, Yadav UN, Hossain MB, Sichel A, Labrique AB, Storisteanu DML. 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
    CrossRef
  28. Chang SJ, Jang SJ, Lee H, Kim H. Building on Evidence to Improve eHealth Literacy in Older Adults. CIN: Computers, Informatics, Nursing 2021;39(5):241
    CrossRef
  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
    CrossRef
  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 2021;:1
    CrossRef
  31. Khan FA, Mullany LC, Wu LF, Ali H, Shaikh S, Alland K, West Jr KP, Labrique AB. Predictors of neonatal mortality: development and validation of prognostic models using prospective data from rural Bangladesh. BMJ Global Health 2020;5(1):e001983
    CrossRef
  32. Worges M, Kamala B, Yukich J, Chacky F, Lazaro S, Dismas C, Aroun S, Ibrahim R, Khamis M, Gitanya MP, 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)
    CrossRef
  33. Rahman MM, 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
    CrossRef
  34. Paudel S, Owen AJ, Owen N, Smith BJ. 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
    CrossRef
  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
    CrossRef
  36. Islam FMA, Lambert EA, Islam SMS, Hosen MA, Thompson BR, Lambert GW. 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)
    CrossRef
  37. Gibson DG, Wosu AC, Pariyo GW, Ahmed S, Ali J, Labrique AB, Khan IA, Rutebemberwa E, Flora MS, Hyder AA. 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
    CrossRef
  38. Kibria GMA, Hashan MR, Hanif AAM, Maniar V, Shawon MSR, 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
    CrossRef
  39. Labrique A, Nagarajan M, Kibria GMA, Vecino-Ortiz A, Pariyo GW, Ali J, Kaufman MR, Gibson D, Pry JM. 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
    CrossRef
  40. Kibria GMA, 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
    CrossRef
  41. Nomali M, Mehrdad N, Heidari ME, 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)
    CrossRef
  42. Kibria GMA, Ahmed S, Khan IA, Fernández-Niño JA, 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
    CrossRef
  43. Ramesh RM, Oswald WE, Israel GJ, Aruldas K, Galagan S, Legge H, Puthupalayam Kaliappan S, Walson J, Halliday KE, Ajjampur SSR. 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.3663):

  1. Estella S, Gibson J. Service-Oriented Mapping. 2019. Chapter 10:207
    CrossRef
  2. Gilbert MR, Masucci M. Handbook of the Changing World Language Map. 2018. Chapter 39-1:1
    CrossRef
  3. Gilbert MR, Masucci M. Handbook of the Changing World Language Map. 2020. Chapter 39:3653
    CrossRef