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

JHU Theme Issue (2017): Use of mobile technologies for national-scale population surveys (Guest Editors: Rosskam, Hyder) (10) Mobile Health (mhealth) (2939) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Research Priorities Setting (22) mHealth for Data Collection and Research (955) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Protocols for Public Health Research and Surveillance (66) Health Services in Resource-Poor Settings and LMICs (414)

Published on in Vol 19, No 5 (2017): May

Noncommunicable Disease Risk Factors and Mobile Phones: A Proposed Research Agenda

Noncommunicable Disease Risk Factors and Mobile Phones: A Proposed Research Agenda

Noncommunicable Disease Risk Factors and Mobile Phones: A Proposed Research Agenda

Authors of this article:

Adnan A Hyder1, 2 Author Orcid Image ;   Adaeze C Wosu3 Author Orcid Image ;   Dustin G Gibson1 Author Orcid Image ;   Alain B Labrique1 Author Orcid Image ;   Joseph Ali1, 2 Author Orcid Image ;   George W Pariyo1 Author Orcid Image
Article Authors Cited by (37) Tweetations (11) Metrics

Journals

  1. Müller A, Maher C, Vandelanotte C, Hingle M, Middelweerd A, Lopez M, DeSmet A, Short C, Nathan N, Hutchesson M, Poppe L, Woods C, Williams S, Wark P. Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis. Journal of Medical Internet Research 2018;20(4):e122 View
  2. Pariyo G, Wosu A, Gibson D, Labrique A, Ali J, Hyder A. Moving the Agenda on Noncommunicable Diseases: Policy Implications of Mobile Phone Surveys in Low and Middle-Income Countries. Journal of Medical Internet Research 2017;19(5):e115 View
  3. 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
  4. Saleh S, Farah A, Dimassi H, El Arnaout N, Constantin J, Osman M, El Morr C, Alameddine M. Using Mobile Health to Enhance Outcomes of Noncommunicable Diseases Care in Rural Settings and Refugee Camps: Randomized Controlled Trial. JMIR mHealth and uHealth 2018;6(7):e137 View
  5. Machado M, Schavinski A, Deluque A, Volpato G, Campos K. The Treatment of Prednisone in Mild Diabetic Rats: Biochemical Parameters and Cell Response. Endocrine, Metabolic & Immune Disorders - Drug Targets 2020;20(5):797 View
  6. 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
  7. 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
  8. Greenleaf A, Gibson D, Khattar C, Labrique A, Pariyo G. Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities. Journal of Medical Internet Research 2017;19(5):e140 View
  9. Gibson D, Pariyo G, Wosu A, Greenleaf A, Ali J, Ahmed S, Labrique A, Islam K, Masanja H, Rutebemberwa E, Hyder A. Evaluation of Mechanisms to Improve Performance of Mobile Phone Surveys in Low- and Middle-Income Countries: Research Protocol. JMIR Research Protocols 2017;6(5):e81 View
  10. Bardus M, Awada N, Ghandour L, Fares E, Gherbal T, Al-Zanati T, Stoyanov S. The Arabic Version of the Mobile App Rating Scale: Development and Validation Study. JMIR mHealth and uHealth 2020;8(3):e16956 View
  11. Rosskam E, Hyder A. Using mHealth to Predict Noncommunicable Diseases: A Public Health Opportunity for Low- and Middle-Income Countries. Journal of Medical Internet Research 2017;19(5):e129 View
  12. 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
  13. Gibson D, Farrenkopf B, Pereira A, Labrique A, Pariyo G. The Development of an Interactive Voice Response Survey for Noncommunicable Disease Risk Factor Estimation: Technical Assessment and Cognitive Testing. Journal of Medical Internet Research 2017;19(5):e112 View
  14. Ssemugabo C, Rutebemberwa E, Kajungu D, Pariyo G, Hyder A, Gibson D. Acceptability and Use of Interactive Voice Response Mobile Phone Surveys for Noncommunicable Disease Behavioral Risk Factor Surveillance in Rural Uganda: Qualitative Study. JMIR Formative Research 2019;3(4):e15000 View
  15. Lau C, Johnson E, Amaya A, LeBaron P, Sanders H. High Stakes, Low Resources: What Mode(s) Should Youth Employment Training Programs Use to Track Alumni? Evidence From South Africa. Journal of International Development 2018;30(7):1166 View
  16. Hoque M, Rahman M, Nipa N, Hasan M. Mobile health interventions in developing countries: A systematic review. Health Informatics Journal 2020;26(4):2792 View
  17. Slater H, Campbell J, Stinson J, Burley M, Briggs A. End User and Implementer Experiences of mHealth Technologies for Noncommunicable Chronic Disease Management in Young Adults: Systematic Review. Journal of Medical Internet Research 2017;19(12):e406 View
  18. Greenleaf A, Gadiaga A, Guiella G, Turke S, Battle N, Ahmed S, Moreau C, Ngure K. Comparability of modern contraceptive use estimates between a face-to-face survey and a cellphone survey among women in Burkina Faso. PLOS ONE 2020;15(5):e0231819 View
  19. Ashigbie P, Rockers P, Laing R, Cabral H, Onyango M, Mboya J, Arends D, Wirtz V. Phone-based monitoring to evaluate health policy and program implementation in Kenya. Health Policy and Planning 2021;36(4):444 View
  20. Vecino-Ortiz A, Nagarajan M, Katumba K, Akhter S, Tweheyo R, Gibson D, Ali J, Rutebemberwa E, Khan I, Labrique A, Pariyo G. A cost study for mobile phone health surveys using interactive voice response for assessing risk factors of noncommunicable diseases. Population Health Metrics 2021;19(1) View
  21. Greenleaf A, Mwima G, Lethoko M, Conkling M, Keefer G, Chang C, McLeod N, Maruyama H, Chen Q, Farley S, Low A. Participatory Surveillance of COVID-19 in Lesotho via Weekly Calls: Protocol for Cell Phone Data Collection. JMIR Research Protocols 2021;10(9):e31236 View
  22. Muzenda T, Kamkuemah M, Battersby J, Oni T. Assessing adolescent diet and physical activity behaviour, knowledge and awareness in low- and middle-income countries: a systematised review of quantitative epidemiological tools. BMC Public Health 2022;22(1) View
  23. Gibson D, Kibria G, Pariyo G, Ahmed S, Ali J, Labrique A, Khan I, Rutebemberwa E, Flora M, Hyder A. Promised and Lottery Airtime Incentives to Improve Interactive Voice Response Survey Participation Among Adults in Bangladesh and Uganda: Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(5):e36943 View
  24. Chasukwa M, Choko A, Muthema F, Nkhalamba M, Saikolo J, Tlhajoane M, Reniers G, Dulani B, Helleringer S, Hall-Clifford R. Collecting mortality data via mobile phone surveys: A non-inferiority randomized trial in Malawi. PLOS Global Public Health 2022;2(8):e0000852 View
  25. Kasarla S, Dodoala S, Sampathi S, Talluri N, Junnuthula V, Dyawanapelly S. Therapeutic Potential of Chrysin in Improving Bone Health. Applied Sciences 2022;12(17):8728 View
  26. 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
  27. Alamnia T, Tesfaye W, Kelly M. The effectiveness of text message delivered interventions for weight loss in developing countries: A systematic review and meta‐analysis. Obesity Reviews 2022;23(1) View
  28. 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
  29. James D, James T. Exploring Machine Learning in Healthcare and its Impact on the SARS-CoV-2 Outbreak. Asian Journal of Applied Science and Engineering 2021;10(1):1 View
  30. Littoz-Monnet A, Osorio Garate X. Knowledge politics in global governance: philanthropists’ knowledge-making practices in global health. Review of International Political Economy 2024;31(2):755 View
  31. 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
  32. Rennie S, Atuire C, Mtande T, Jaoko W, Litewka S, Juengst E, Moodley K. Public health research using cell phone derived mobility data in sub-Saharan Africa: Ethical issues. South African Journal of Science 2023;119(5/6) View
  33. Maniar V, Gibson D, Labrique A, Ali J, Vecino-Ortiz A, Torres-Quintero A, Puerto-García S, Solorzano-Barrera C, Masanja H, Kagoro F, Pariyo G. The effect of airtime incentives to improve participation in noncommunicable disease interactive voice response surveys: randomized controlled trials in Colombia and Tanzania. Oxford Open Digital Health 2023;1 View
  34. Littoz-Monnet A. Knowledge Machineries and Their Objects of Expertise. Knowing Bodies, Moves, and Moods through “Mobile Health” Data. Global Studies Quarterly 2024;4(3) View

Books/Policy Documents

  1. Kaushalya S, Kulawansa K, Firdhous M. Advances in Computer Communication and Computational Sciences. View
  2. Ramnath V. Emerging Practices in Telehealth. View