Jay Greenfield

Biographic Data

ID7968431
NAMEJay Greenfield
GIVEN NAMESJay
FAMILY NAMEGreenfield
SIGNATUREGREENFIELD J
AFFILIATIONSInternational Science Council
ORCID0000-0003-2773-5317
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0

  • Migrating longitudinal African mental health data from staging to the Omop common data model within the INSPIRE network datahub

    Open AccessTathagata Bhattacharjee, Bylhah Mugotitsa et al.ARTICLEFrontiers in Psychiatry2026

    This framework demonstrates scalable harmonisation and integration of African mental health data, bridging the gap between local datasets with global standards. This then enables the performance of federated analysis and reproducible research, increasing the utility and impact of mental health data in informing evidence-based policies and future collaborative studies across Africa

  • Understanding mental health among university students in Kenya

    Open AccessBylhah Mugotitsa, Reinpeter Momanyi et al.ARTICLEFrontiers in Public Health2025

    Objective While mental health conditions play a significant role in the global disease burden, their determinants and predictors are still not well understood in Kenya. This study examined the prevalence of mental health conditions among university students and the factors associated with them. Methods This cross-sectional study evaluated 1,424 students at Pwani University in Kenya, assessing anxiety, depression, and psychosis, using validated sc…

  • Data science without borders

    Open AccessAgnes Kiragga, Agnes N Kiragga et al.ARTICLEFrontiers in Public Health2025

    Background: Effective public health data science in Africa requires a comprehensive understanding of institutional capabilities across multiple dimensions. This study conducted a multidimensional assessment of three African health institutions to examine the availability of health data, healthcare training, data governance needs, and infrastructure capabilities, to inform the use of data science tools to address health challenges. Methods: The st…

  • Enabling data sharing and utilization for African population health data using OHDSI tools with an Omop-common data model

    Open AccessSylvia Kiwuwa-Muyingo, Jim Todd et al.ARTICLEFrontiers in Public Health2023

    The COVID-19 pandemic has spurred the use of AI and DS innovations in data collection and aggregation. Extensive data on many aspects of the COVID-19 has been collected and used to optimize public health response to the pandemic and to manage the recovery of patients in Sub-Saharan Africa. However, there is no standard mechanism for collecting, documenting and disseminating COVID-19 related data or metadata, which makes the use and reuse a challe…