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

Public Health Data Analytics (82)

Published on in Vol 8, No 2 (2016):

Using Principal Component Analysis to Identify Priority Neighbourhoods for Health Services Delivery by Ranking Socioeconomic Status

Using Principal Component Analysis to Identify Priority Neighbourhoods for Health Services Delivery by Ranking Socioeconomic Status

Using Principal Component Analysis to Identify Priority Neighbourhoods for Health Services Delivery by Ranking Socioeconomic Status

Authors of this article:

Christine Elizabeth Friesen1 ;   Patrick Seliske2 ;   Andrew Papadopoulos3
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Article Authors Cited by (16) Tweetations Metrics

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  2. Antonelli M, Marini G. Do institutions matter for citizens’ health status? Empirical evidence from Italy. The European Journal of Health Economics 2024 View
  3. Addas A, Maghrabi A. Social Evaluation of Public Open Space Services and Their Impact on Well-Being: A Micro-Scale Assessment from a Coastal University. Sustainability 2021;13(8):4372 View
  4. Ding R, Dardas A, Wang L, Williams A. Improving the Workplace Experience of Caregiver-Employees: A Time-Series Analysis of a Workplace Intervention. Safety and Health at Work 2021;12(3):296 View
  5. Akande A, Cabral P, Gomes P, Casteleyn S. The Lisbon ranking for smart sustainable cities in Europe. Sustainable Cities and Society 2019;44:475 View
  6. Johnson G, Checker M, Larson S, Kodali H. A small area index of gentrification, applied to New York City. International Journal of Geographical Information Science 2022;36(1):137 View
  7. Harris R, Xavier Hall C, Mills J, Pence B, Bgneris J, Wong F. Beyond Viral Suppression—The Impact of Cumulative Violence on Health-Related Quality of Life Among a Cohort of Virally Suppressed Patients. JAIDS Journal of Acquired Immune Deficiency Syndromes 2023;92(1):59 View
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  9. Kaba E, Assaf G. Roads funding priority index for Sub-Saharan Africa using principal components analysis. Case Studies on Transport Policy 2019;7(4):732 View
  10. Murphy S, Cole S, Kaminski A, Charo-Karisa H, Basiita R, McDougall C, Kakwasha K, Mulilo T, Rajaratnam S, Mekkawy W. A gendered conjoint analysis of tilapia trait preference rankings among urban consumers in Zambia: Evidence to inform genetic improvement programs. Aquaculture 2024;591:741110 View
  11. Akande A, Cabral P, Casteleyn S. Assessing the Gap between Technology and the Environmental Sustainability of European Cities. Information Systems Frontiers 2019;21(3):581 View
  12. Lee H, Kravitz-Wirtz N, Rao S, Crowder K. Effects of Prolonged Exposure to Air Pollution and Neighborhood Disadvantage on Self-Rated Health among Adults in the United States: Evidence from the Panel Study of Income Dynamics. Environmental Health Perspectives 2023;131(8) View
  13. Ding R, Dardas A, Wang L, Williams A. Evaluation of a Caregiver-Friendly Workplace Program Intervention on the Health of Full-Time Caregiver Employees. Journal of Occupational & Environmental Medicine 2020;62(10):e548 View
  14. Dey A, Averbach S, Dixit A, Chakraverty A, Dehingia N, Chandurkar D, Singh K, Choudhry V, Silverman J, Raj A, Goli S. Measuring quality of family planning counselling and its effects on uptake of contraceptives in public health facilities in Uttar Pradesh, India: A cross-sectional analysis. PLOS ONE 2021;16(5):e0239565 View
  15. Jack C, Parker C, Kouakou Y, Joubert B, McAllister K, Ilias M, Maimela G, Chersich M, Makhanya S, Luchters S, Makanga P, Vos E, Ebi K, Koné B, Waljee A, Cissé G. Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE2AT Center study protocol. BMJ Open 2024;14(6):e077529 View