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| Content Provider | ACM Digital Library |
|---|---|
| Author | Thieme, Nick Bennett, Kristin P. |
| Abstract | Infection by Mycobacterium tuberculosis complex (MTB) produces either active tuberculosis (TB) disease or latent infections without symptoms with about a 10% lifetime risk of developing disease. We hypothesize that MTB lineages may have different latent reactivation phenotypes, and that these different phenotypes would be reflected in different disease dynamics in foreign-born TB patients in New York City (NY). We define the time to disease (TTD) as the length of time between a subject's arrival in the US and development of active disease. We study statistical differences in TTD distributions for the four most prevalent MTB lineages. By studying foreign-born patients with unique genotype MTB, TTD can serve as a proxy for time to latent reactivation. We observe significant differences between the TTD distributions among the 4 lineages using the Anderson-Darling (AD) test. Deeper understanding of latent reactivation can support TB control efforts and aid development of new tuberculosis drugs targeted toward latent TB. |
| Starting Page | 493 |
| Ending Page | 494 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450342254 |
| DOI | 10.1145/2975167.2985649 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-10-02 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Tuberculosis Molecular epidemiology Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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