Data Architecture to Support Real-Time Data Analytics for the Population-Based HIV Impact Assessments

Metz, M., Smith, R., Mitchell, R., Duong, Y. T., Brown, K., Kinchen, S., Lee, K., Ogollah, F. M., Dzinamarira, T., Maliwa, V., Moore, C., Patel, H., Chung, H., Mtengo, H., & Saito, S. (2021). Data Architecture to Support Real-Time Data Analytics for the Population-Based HIV Impact Assessments. JAIDS Journal of Acquired Immune Deficiency Syndromes, 87(1), S28–S35. https://doi.org/10.1097/qai.0000000000002703
Authors:
Melissa Metz
Rebecca Smith
Rick Mitchell
Yen T. Duong
Kristin Brown
Steve Kinchen
Kiwon Lee
Francis M. Ogollah
Tafadzwa Dzinamarira
Vusumuzi Maliwa
Carole Moore
Hetal Patel
Hannah Chung
Helecks Mtengo
Suzue Saito
Affiliated Authors:
Rick Mitchell
Suzue Saito
Columbia Affiliation:
Author Keywords:
hiv
population-based surveys
electronic data collection
data management
data architecture
phia
elink
Publication Type:
Article
Unique ID:
10.1097/QAI.0000000000002703
PMID:
34166310
DOI:
10.1097/QAI.0000000000002703
Journal:
Journal of Acquired Immune Deficiency Syndromes
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
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Record Created: