A social network analysis model approach to understand tuberculosis transmission in remote rural Madagascar.

Background: Quality surveillance data used to build tuberculosis (TB) transmission models are frequently unavailable and may overlook community intrinsic dynamics that impact TB transmission. Social network analysis (SNA) generates data on hyperlocal social-demographic structures that contribute to disease transmission.

Methods: We collected social contact data in five villages and built SNA-informed village-specific stochastic TB transmission models in remote Madagascar.

Latent tuberculosis infection prevalence in rural Madagascar.

Background: Understanding latent Mycobacterium tuberculosis infection (LTBI) prevalence is crucial for the design of TB control strategies. There are no data on LTBI in rural Madagascar.

Methods: Tuberculin skin tests were performed in 98 adults aged >15 y in five rural villages in the Ifanadiana district, Madagascar.