Tuberculosis in households with infectious cases in Kampala city: Harnessing health data science for new insights on an ancient disease with persistent, unresolved problems

Emmanuel Nasinghe, Denis Musinguzi, Mercy Takuwa, Rogers Kamulegeya, Rose Nabatanzi, Sharon Namiiro, Cosmas Mwikirize, Andrew Katumba · 2026

Read Tuberculosis in households with infectious cases in Kampala city: Harnessing health data science for new insights on an ancient disease with persistent, unresolved problems by Emmanuel Nasinghe, Denis Musinguzi, Mercy Takuwa, Rogers Kamulegeya, Rose Nabatanzi, Sharon Namiiro, Cosmas Mwikirize, Andrew Katumba (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/plos-pone-0348823.txt.

Description

Emmanuel Nasinghe and co-authors set out a data science project in 2026 on tuberculosis in Kampala households, Uganda. The disease overlaps heavily with HIV there, many cases hide without symptoms, and it is hard to separate risks from the home, the germ, and the surroundings.

The team will use Makerere University computing power and records on patients and their household contacts to train learning models. Goals include spotting what drives spread inside homes and why treatment fails for some. The project is a plan rather than a result, aiming to turn routine health data into sharper targeting of testing and support.

Catalog record

CREATOREmmanuel Nasinghe, Denis Musinguzi, Mercy Takuwa, Rogers Kamulegeya, Rose Nabatanzi, Sharon Namiiro, Cosmas Mwikirize, Andrew Katumba
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE21557
LICENSECC_BY
RIGHTSCC BY
SOURCEPLOS

Source: https://doi.org/10.1371/journal.pone.0348823

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