Mr Joseph Crispell
- Data Scientist / Modeler (Planning, Insight & Analytics)
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Akhmetova, A. et al. (2023) Genomic epidemiology of Mycobacterium bovis infection in sympatric badger and cattle populations in Northern Ireland. Microbial Genomics, 9(5), 001023. (doi: 10.1099/mgen.0.001023) (PMID:37227264) (PMCID:PMC10272874)
Perets, V. et al. (2022) Evidence for local and international spread of Mycobacterium avium subspecies paratuberculosis through whole genome sequencing of isolates from the island of Ireland. Veterinary Microbiology, 268, 109416. (doi: 10.1016/j.vetmic.2022.109416) (PMID:35405477)
Rossi, G. et al. (2022) Phylodynamic analysis of an emergent Mycobacterium bovis outbreak in an area with no previously known wildlife infections. Journal of Applied Ecology, 59(1), pp. 210-222. (doi: 10.1111/1365-2664.14046)
Crispell, J. et al. (2019) Combining genomics and epidemiology to analyse bi-directional transmission of Mycobacterium bovis in a multi-host system. eLife, 8, e45833. (doi: 10.7554/elife.45833) (PMID:31843054) (PMCID:PMC6917503)
Chaters, G.L. et al. (2019) Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1776), 20180264. (doi: 10.1098/rstb.2018.0264) (PMID:31104601) (PMCID:PMC6558568)
Crispell, J. et al. (2017) Using whole genome sequencing to investigate transmission in a multi-host system: bovine Tuberculosis in New Zealand. BMC Genomics, 18, 180. (doi: 10.1186/s12864-017-3569-x) (PMID:28209138) (PMCID:PMC5314462)
Akhmetova, A. et al. (2023) Genomic epidemiology of Mycobacterium bovis infection in sympatric badger and cattle populations in Northern Ireland. Microbial Genomics, 9(5), 001023. (doi: 10.1099/mgen.0.001023) (PMID:37227264) (PMCID:PMC10272874)
Perets, V. et al. (2022) Evidence for local and international spread of Mycobacterium avium subspecies paratuberculosis through whole genome sequencing of isolates from the island of Ireland. Veterinary Microbiology, 268, 109416. (doi: 10.1016/j.vetmic.2022.109416) (PMID:35405477)
Rossi, G. et al. (2022) Phylodynamic analysis of an emergent Mycobacterium bovis outbreak in an area with no previously known wildlife infections. Journal of Applied Ecology, 59(1), pp. 210-222. (doi: 10.1111/1365-2664.14046)
Crispell, J. et al. (2019) Combining genomics and epidemiology to analyse bi-directional transmission of Mycobacterium bovis in a multi-host system. eLife, 8, e45833. (doi: 10.7554/elife.45833) (PMID:31843054) (PMCID:PMC6917503)
Chaters, G.L. et al. (2019) Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies. Philosophical Transactions of the Royal Society B: Biological Sciences, 374(1776), 20180264. (doi: 10.1098/rstb.2018.0264) (PMID:31104601) (PMCID:PMC6558568)
Crispell, J. et al. (2017) Using whole genome sequencing to investigate transmission in a multi-host system: bovine Tuberculosis in New Zealand. BMC Genomics, 18, 180. (doi: 10.1186/s12864-017-3569-x) (PMID:28209138) (PMCID:PMC5314462)
https://orcid.org/0000-0002-0364-7112