<p>Leveraging real-world data for population health: a proposed North-South collaborative towards a health data science and evidence generation ecosystem</p>

Sara Khalid; Mauricio  Barretto; Daniel  Prieto-Alhambra; Haroon  Hafeez

doi:10.21955/gatesopenres.1116917.1

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Khalid S, Barretto M, Prieto-Alhambra D and Hafeez H. Leveraging real-world data for population health: a proposed North-South collaborative towards a health data science and evidence generation ecosystem [version 1; not peer reviewed]. Gates Open Res 2022, 6:128 (poster) (https://doi.org/10.21955/gatesopenres.1116917.1)

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Leveraging real-world data for population health: a proposed North-South collaborative towards a health data science and evidence generation ecosystem

Sara Khalid¹, Mauricio Barretto, Daniel Prieto-Alhambra, Haroon Hafeez

Published 19 Oct 2022 (https://doi.org/10.21955/gatesopenres.1116917.1)

Author Affiliations

¹ University of Oxford, UK

Copyright © 2022 Khalid S et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 19 Oct 2022

Leveraging real-world data for population health: a proposed North-South collaborative towards a health data science and evidence generation ecosystem
[version 1; not peer reviewed]

Sara Khalid¹, Mauricio Barretto, Daniel Prieto-Alhambra, Haroon Hafeez

Author Affiliations

¹ University of Oxford, UK

Presented at

Grand Challenges Annual Meeting, 2022

Abstract

Gates Foundation grant number

INV-031462

Competing Interests

No competing interests were disclosed

Keywords

Health Equity; OMOP common data model; federated network analytics; LMIC; real-world data

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Leveraging real-world data for population health: a proposed North-South collaborative towards a health data science and evidence generation ecosystem

Leveraging real-world data for population health: a proposed North-South collaborative towards a health data science and evidence generation ecosystem
[version 1; not peer reviewed]

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