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

Health Services in Resource-Poor Settings and LMICs (541) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (717) Wearable Devices and Sensors (1133) Developmental Problems (80) Participatory Epidemiology and Surveillance (127) Mobile Health and Apps for Maternal and Child Health (214)

Published on in Vol 7, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23154, first published .
Combining Wearable Devices and Mobile Surveys to Study Child and Youth Development in Malawi: Implementation Study of a Multimodal Approach

Combining Wearable Devices and Mobile Surveys to Study Child and Youth Development in Malawi: Implementation Study of a Multimodal Approach

Combining Wearable Devices and Mobile Surveys to Study Child and Youth Development in Malawi: Implementation Study of a Multimodal Approach

Authors of this article:

Onicio Leal Neto1 Author Orcid Image ;   Simon Haenni1 Author Orcid Image ;   John Phuka2 Author Orcid Image ;   Laura Ozella3 Author Orcid Image ;   Daniela Paolotti3 Author Orcid Image ;   Ciro Cattuto3, 4 Author Orcid Image ;   Daniel Robles5 Author Orcid Image ;   Guilherme Lichand1 Author Orcid Image
Article Authors Cited by (18) Tweetations (13) Metrics

Journals

  1. Ozella L, Paolotti D, Lichand G, Rodríguez J, Haenni S, Phuka J, Leal-Neto O, Cattuto C. Using wearable proximity sensors to characterize social contact patterns in a village of rural Malawi. EPJ Data Science 2021;10(1) View
  2. Park Y, Go T, Hong S, Kim S, Han J, Kang Y, Kang D. Digital Biomarkers in Living Labs for Vulnerable and Susceptible Individuals: An Integrative Literature Review. Yonsei Medical Journal 2022;63(Suppl):S43 View
  3. Bhavnani S, Parameshwaran D, Sharma K, Mukherjee D, Divan G, Patel V, Thiagarajan T. The Acceptability, Feasibility, and Utility of Portable Electroencephalography to Study Resting-State Neurophysiology in Rural Communities. Frontiers in Human Neuroscience 2022;16 View
  4. Wittwer S, Paolotti D, Lichand G, Leal Neto O. Participatory Surveillance for COVID-19 Trend Detection in Brazil: Cross-sectional Study. JMIR Public Health and Surveillance 2023;9:e44517 View
  5. Lichand G, Leal Neto O, Phuka J, Chipojola R, Laher B, Enlow M, Sidamon-Eristoff A, Quigley K, Weisleder A, Lew-Williams C, Garcia P, Carstensen A, Kosie J, Okocha A, Robles D, Paolotti D, Tomaselli N, Ogando L, Cattuto C, Carneiro P. The Early Childhood Development Replication Crisis, and How Wearable Technologies Could Help Overcome It. SSRN Electronic Journal 2022 View
  6. Amani B, Krzeczkowski J, Schmidt L, Van Lieshout R. Public health nurse-delivered cognitive behavioral therapy for postpartum depression: Assessing the effects of maternal treatment on infant emotion regulation. Development and Psychopathology 2025;37(1):259 View
  7. Dai P, Qi L, Jia M, Li T, Ran H, Jiang M, Tang W, Yan C, Yang W, Ren Y, Feng L. Healthcare-seeking behaviours of patients with acute respiratory infection: a cross-sectional survey in a rural area of southwest China. BMJ Open 2024;14(2):e077224 View
  8. Valerio M, Laher B, Phuka J, Lichand G, Paolotti D, Leal Neto O. Participatory Disease Surveillance for the Early Detection of Cholera-Like Diarrheal Disease Outbreaks in Rural Villages in Malawi: Prospective Cohort Study. JMIR Public Health and Surveillance 2024;10:e49539 View
  9. Mathewson K, Kuziek J, Scanlon J, Robles D. The moving wave: Applications of the mobile EEG approach to study human attention. Psychophysiology 2024;61(9) View
  10. Marley G, Dako-Gyeke P, Nepal P, Rajgopal R, Koko E, Chen E, Nuamah K, Osei K, Hofkirchner H, Marks M, Tucker J, Eggo R, Ampofo W, Sylvia S. Collective Intelligence–Based Participatory COVID-19 Surveillance in Accra, Ghana: Pilot Mixed Methods Study. JMIR Infodemiology 2024;4:e50125 View
  11. Swahn M, Gittner K, Lyons M, Nielsen K, Mobley K, Culbreth R, Palmier J, Johnson N, Matte M, Nabulya A. Advancing mHealth Research in Low-Resource Settings: Young Women’s Insights and Implementation Challenges with Wearable Smartwatch Devices in Uganda. Sensors 2024;24(17):5591 View
  12. McNeil C, Divi N, Bargeron IV C, Capobianco Dondona A, Ernst K, Gupta A, Fasominu O, Keatts L, Kelly T, Leal Neto O, Lwin M, Makhasi M, Mutagahywa E, Montecino-Latorre D, Olson S, Pandit P, Paolotti D, Parker M, Samad M, Sewalk K, Sheldenkar A, Srikitjakarn L, Suy Lan C, Wilkes M, Yano T, Smolinski M. Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis. JMIR Public Health and Surveillance 2025;11:e55356 View
  13. Wilson A, Lowe A, Amoh-Asante N, Zhan Y, Ashraf A, Gerald L. School-informed risk calculator tool for reducing the spread of respiratory viral infection among school-aged children. Indoor Environments 2025;2(2):100090 View
  14. Chin T, An W, Yibeltal K, Workneh F, Pihl S, Jensen S, Asmamaw G, Fasil N, Teklehaimanot A, North K, Troller-Renfree S, Nelson C, Berhane Y, Lee A. Implementation of mobile EEG for resting-state and visual evoked potentials in young children in rural Ethiopia. Frontiers in Human Neuroscience 2025;19 View
  15. Banholzer N, Munday J, Jent P, Bittel P, Dall’Amico L, Furrer L, Bürki C, Stadler T, Egger M, Hascher T, Cattuto C, Fenner L. The relative contribution of close-proximity contacts, shared classroom exposure and indoor air quality to respiratory virus transmission in schools. Nature Communications 2025 View

Books/Policy Documents

  1. Purohit A, Schöbel S, Bill O, Holzer A. Digital Health. View

Conference Proceedings

  1. Salehzadeh Niksirat K, Munyendo C, Batista Leal Neto O, Katya M, Kouassi C, Ochieng K, Georgina A, Olayo B, Barras J, Cattuto C, Aviv A, Troncoso C. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Reimagining Wearable-Based Digital Contact Tracing: Insights from Kenya and Côte d'Ivoire View
  2. Peñaherrera M, Labendzki P, Esposito G, Goupil L, Wass S. 2025 IEEE International Conference on Development and Learning (ICDL). Measuring predictability in the home environment using daylong audio recordings* View