An agent-based modelling approach to investigate the impact of gender on tuberculosis transmission in Uganda (with 4 co-authors)
1 korrent from this paper
In plain words
Equalizing how tuberculosis develops in men and women inside a computer model of people in Kampala reduces both the male-to-female case gap and the total number of cases. That finding highlights how differences in disease course itself shape the higher male burden and overall spread. It reports results from adapting an earlier epidemic simulation to tuberculosis and testing scenarios that remove gender differences in progression.
Our summary of the paper, not the authors' words — written to be readable without the field's vocabulary, from the stored copy of the paper and nothing else. Drafted with xai:grok-4.5 and checked by a person. The authors' own sentences are the quotes below.
Kit Yates did not write this page.
Every claim below was made in this piece, quoted word for word and numbered in the order the piece makes them, so you can read it there rather than take our word for it. The sentence above each quote is our reading of the claim, not their wording. Each quote was checked against a stored copy of the page at build time; where the two differ, the quote is the fact.