The challenges of data in future pandemics

Autor: Nigel Shadbolt, Alys Brett, Min Chen, Glenn Marion, Iain J. McKendrick, Jasmina Panovska-Griffiths, Lorenzo Pellis, Richard Reeve, Ben Swallow

Publikováno v: Epidemics, Vol 40, Iss , Pp 100612- (2022)

The use of data has been essential throughout the unfolding COVID-19 pandemic. We have needed it to populate our models, inform our understanding, and shape our responses to the disease. However, data has not always been easy to find and access, it h

Externí odkaz: https://doaj.org/article/a246d30ac30542eea2117a9d3c3ad750

A statistical framework for calculating prospective sample sizes and classifying efficacy results for faecal egg count reduction tests in ruminants, horses and swine

Autor: Matthew J, Denwood, Ray M, Kaplan, Iain J, McKendrick, Stig M, Thamsborg, Martin K, Nielsen, Bruno, Levecke

Publikováno v: Denwood, M J, Kaplan, R M, McKendrick, I J, Thamsborg, S M, Nielsen, M K & Levecke, B 2023, ' A statistical framework for calculating prospective sample sizes and classifying efficacy results for faecal egg count reduction tests in ruminants, horses and swine ', Veterinary Parasitology, vol. 314, 109867 . https://doi.org/10.1016/j.vetpar.2022.109867
VETERINARY PARASITOLOGY

The faecal egg count reduction test (FECRT) is the primary diagnostic tool used for detecting anthelmintic resistance at the farm level. It is therefore extremely important that the experimental design of a FECRT and the susceptibility classification

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17a1fef66eb35f0112099f0af63326e7
https://curis.ku.dk/portal/da/publications/a-statistical-framework-for-calculating-prospective-sample-sizes-and-classifying-efficacy-results-for-faecal-egg-count-reduction-tests-in-ruminants-horses-and-swine(3428f914-7aa6-4366-ab1f-a50239754d81).html

Animal Health Surveillance in Scotland in 2030: Using Scenario Planning to Develop Strategies in the Context of 'Brexit'

Autor: Lisa A. Boden, Harriet Auty, Aaron Reeves, Gustaf Rydevik, Paul Bessell, Iain J. McKendrick

Publikováno v: Frontiers in Veterinary Science, Vol 4 (2017)

Animal health surveillance is necessary to protect human and animal health, rural economies, and the environment from the consequences of large-scale disease outbreaks. In Scotland, since the Kinnaird review in 2011, efforts have been made to engage

Externí odkaz: https://doaj.org/article/0d11a83ff4674b54984b598ef9019c88

FAIR data pipeline: provenance-driven data management for traceable scientific workflows

Autor: Sonia Natalie Mitchell, Andrew Lahiff, Nathan Cummings, Jonathan Hollocombe, Bram Boskamp, Ryan Field, Dennis Reddyhoff, Kristian Zarebski, Antony Wilson, Bruno Viola, Martin Burke, Blair Archibald, Paul Bessell, Richard Blackwell, Lisa A. Boden, Alys Brett, Sam Brett, Ruth Dundas, Jessica Enright, Alejandra N. Gonzalez-Beltran, Claire Harris, Ian Hinder, Christopher David Hughes, Martin Knight, Vino Mano, Ciaran McMonagle, Dominic Mellor, Sibylle Mohr, Glenn Marion, Louise Matthews, Iain J. McKendrick, Christopher Mark Pooley, Thibaud Porphyre, Aaron Reeves, Edward Townsend, Robert Turner, Jeremy Walton, Richard Reeve

Publikováno v: Mitchell, S N, Lahiff, A, Cummings, N, Hollocombe, J, Boskamp, B, Field, R, Reddyhoff, D, Zarebski, K, Wilson, A, Viola, B, Burke, M, Archibald, B, Bessell, P, Blackwell, R, Boden, L A, Brett, A, Brett, S, Dundas, R, Enright, J, Gonzalez-Beltran, A N, Harris, C, Hinder, I, David Hughes, C, Knight, M, Mano, V, McMonagle, C, Mellor, D, Mohr, S, Marion, G, Matthews, L, McKendrick, I J, Mark Pooley, C, Porphyre, T, Reeves, A, Townsend, E, Turner, R, Walton, J & Reeve, R 2022, ' FAIR data pipeline : provenance-driven data management for traceable scientific workflows ', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 380, no. 2233, 20210300 . https://doi.org/10.1098/rsta.2021.0300
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022, 380 (2233), ⟨10.1098/rsta.2021.0300⟩

Modern epidemiological analyses to understand and combat the spread of disease depend critically on access to, and use of, data. Rapidly evolving data, such as data streams changing during a disease outbreak, are particularly challenging. Data manage

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16a702da9a11b8817950011b5202a3cd
https://doi.org/10.1098/rsta.2021.0300

Efficacy of high-throughput transthoracic ultrasonographic screening for on-farm detection of ovine pulmonary adenocarcinoma

Autor: Chris Cousens, David A. Ewing, Iain J. McKendrick, Helen Todd, Mark P. Dagleish, Philip R. Scott

Publikováno v: The Veterinary recordREFERENCES. 191(3)

The aim of this study was to evaluate the efficacy of high-throughput on-farm transthoracic ultrasound (TUS) to screen for ovine pulmonary adenocarcinoma (OPA), an infectious ovine disease of increasing concern. No other routine diagnosis of preclini

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0194d0b7aae910830f604f57b0904165
https://pubmed.ncbi.nlm.nih.gov/35788936