Description
The goal of this project is to develop a general methodology for incorporating bacterial phylogenetics based on WGS into predictive models for infectious diseases using transformative and interdisciplinary research incorporating ecology, economics, molecular biology, and epidemiology. These methods and models will be applied towards better understanding the principles and dynamics governing transmission of mycobacterial infection.</p><p>This work was supported by the USDA-NIFA AFRI [grant number # 2014-67015-2240] as part of the joint USDA-NSF-NIH-BBSRC-BSF Ecology and Evolution of Infectious Diseases program.
| Date made available | 27 Apr 2021 |
|---|---|
| Publisher | USDA |
Accession numbers
- PRJNA725521
Research output
- 1 Article
-
Who infects whom?-Reconstructing infection chains of Mycobacterium avium ssp. paratuberculosis in an endemically infected dairy herd by use of genomic data
Nigsch, A., Robbe-Austerman, S., Stuber, T. P., Pavinski Bitar, P. D., Gröhn, Y. T. & Schukken, Y. H., 13 May 2021, In: PLoS ONE. 16, 5, e0246983.Research output: Contribution to journal › Article › Academic › peer-review
Open Access14 Link opens in a new tab Citations (Scopus)
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