Bibliography 📚✍️🧭

Bibliography 📚✍️🧭#

“To cite is to remember. To remember is to root.”

This bibliography collects the sources, signals, and spirits that shaped the content, design philosophy, and epistemic structure of Ukubona.

It includes:

  • Peer-reviewed clinical research

  • Epidemiologic datasets

  • Philosophical and poetic references

  • Mythological and symbolic frameworks

  • Open-source software and modeling practices

🔬 Clinical & Epidemiologic Foundations#

  1. Muzaale AD, Massie AB, Wang M-C, et al. Risk of End-Stage Renal Disease Following Live Kidney Donation. JAMA. 2014;311(6):579–586.

  2. Segev DL, Muzaale AD, Caffo BS, et al. Perioperative mortality and long-term survival following live kidney donation. JAMA. 2010;303(10):959–966.

  3. KDIGO. Clinical Practice Guideline for the Evaluation and Care of Living Kidney Donors. Kidney Int Suppl. 2017.

  4. U.S. Renal Data System (USRDS). Annual Data Report. Available: https://www.usrds.org

  5. National Health and Nutrition Examination Survey (NHANES). CDC.

  6. Scientific Registry of Transplant Recipients (SRTR). https://srtr.transplant.hrsa.gov

🧠 Epistemology, Risk, and Power#

  1. Foucault M. The Birth of the Clinic.

  2. Haraway D. Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective.

  3. Bourdieu P. La Distinction.

  4. Tufte E. The Visual Display of Quantitative Information.

  5. Benjamin R. Race After Technology.

  6. Eubanks V. Automating Inequality.

🎭 Myth, Symbol, and Metaphor#

  1. Nietzsche F. The Birth of Tragedy.

  2. Mbiti JS. African Religions and Philosophy.

  3. Hesiod. Theogony.

  4. “The Sea, the Ship, the Island” — Personal motif of Abimereki Muzaale, adapted from ancestral metaphor and navigational theology.

💻 Software, Visualization, and Modeling#

  1. Matplotlib & NumPy – Python scientific stack

  2. NetworkX – Ecosystem diagrams

  3. Jupyter Book – Open scientific publishing

  4. scikit-survival – Survival analysis modeling

  5. GitHub Pages – Hosting and continuous deployment

  6. Ukubona Public Repository – [Coming Soon…]

🧾 Notes#

  • All patient risk figures derived from de-identified, linked national datasets.

  • Visualizations and apps are demonstrative, not diagnostic.

  • Every attempt was made to credit sources where appropriate.

  • This bibliography will evolve as the platform grows.

Built by Ukubona LLC – for clarity, discernment, and navigational care.

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