Hostname: page-component-5db58dd55d-lqwgf Total loading time: 0 Render date: 2026-05-27T15:54:58.304Z Has data issue: false hasContentIssue false

Meticulous records: Paper technologies, political worlds, and the making of epidemiological data in 1970s Uganda

Published online by Cambridge University Press:  15 May 2026

Thandeka Cochrane*
Affiliation:
Department of Global Health and Social Medicine, King’s College London , London, United Kingdom
Jennifer Fraser
Affiliation:
Department of Global Health and Social Medicine, King’s College London , London, United Kingdom
*
Corresponding author: Thandeka Cochrane; Email: thandeka.cochrane@kcl.ac.uk
Rights & Permissions [Opens in a new window]

Abstract

In 1970, Ted Williams – a medical missionary who had been running a small hospital at Kuluva in the West Nile region of Uganda for decades – was approached by the International Agency for Research on Cancer (IARC) to help establish a major study on the possible role of Epstein–Barr Virus in the aetiology of Burkitt’s lymphoma (BL). At the time, there was intense global interest in BL, as the cancer promised to be the first shown to have a viral aetiology. IARC centred its project at Kuluva Hospital and in the West Nile district because of Williams’ unusually detailed and accurate records. Williams was a meticulous record-keeper, who relied on various methods of data collection, from collecting and comparing to selecting and sorting. His paper-based archives and recording practices provide a rare window onto epidemiological knowledge production in East Africa in the decades before computing reshaped medical record-keeping. By tracing the ‘sociomaterial paper trail’ of Williams’s work, this paper examines how persona, place, and paper intersected in the making of medical knowledge, and how the researcher’s persona shapes the kinds of epidemiological data that are ultimately produced.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Patients by region of origin, WTI/EHW/B/8, Wellcome Collection, London.

Figure 1

Figure 2. Comparing patient intake numbers across different years by time of year, WTI/EHW/B/8, Wellcome Collection.

Figure 2

Figure 3. Kuluva Cancer Registry Form, WTI/EHW/J/3, Wellcome Collection.

Figure 3

Figure 4. Rainfall in inches by year compared to cases of BL in Kuluva. WTI/EHW/B/8, Wellcome Collection.

Figure 4

Figure 5. West Nile divided by BL cases in squares, WTI/EHW/B/8, Wellcome Collection.

Figure 5

Figure 6. Marking cases of BL on a map of West Nile using star stickers, WTI/EHW/G/1, Wellcome Collection.

Figure 6

Figure 7. Showing the drift of cases over time, WTI/EHW/G/2, Wellcome Collection.

Figure 7

Figure 8. Showing Aliba case clustering, WTI/EHW/G/2, Wellcome Collection.

Figure 8

Figure 9. Ugandan laboratory personnel separating blood samples for serum collection at the project laboratories, Arua, Uganda. IARC, ‘IARC Annual Report 1975’ (Geneva, 1976): 60.

Figure 9

Figure 10. Disease case numbers by 5-year period, WTI/EHW/F/2, Wellcome Collection.

Figure 10

Figure 11. Regression analysis on patient data, WTI/EHW/B/2/15, Wellcome Collection.

Figure 11

Figure 12. Regression analysis comparing in-patient numbers to cancer cases, WTI/EHW/B/2/15, Wellcome Collection.