Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey
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McCabe R. et al, (2024), Infectious Disease Modelling, 9, 299 - 313
Public awareness of and opinions on the use of mathematical transmission modelling to inform public health policy in the United Kingdom
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McCabe R. and Donnelly CA., (2023), Journal of The Royal Society Interface, 20
Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry
Preprint
Hayes S. et al, (2023)
Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey
Preprint
McCabe R. et al, (2023)
Public awareness of and opinions on the use of mathematical transmission modelling to inform public health policy in the United Kingdom
Preprint
McCabe R. and Donnelly CA., (2023)
Marburg Virus Disease outbreaks, mathematical models, and disease parameters: a Systematic Review
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Cuomo-Dannenburg G. et al, (2023)
Adapting field-mosquito collection techniques in a perspective of near-infrared spectroscopy implementation
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Somé BM. et al, (2022), Parasites & Vectors, 15
Back to the Future: Quantifying Wing Wear as a Method to Measure Mosquito Age
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Gray L. et al, (2022), The American Journal of Tropical Medicine and Hygiene, 107, 689 - 700
Tracking the incidence and risk factors for SARS-CoV-2 infection using historical maternal booking serum samples
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Mullins E. et al, (2022), PLOS ONE, 17, e0273966 - e0273966
Disease transmission and control modelling at the science–policy interface
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McCabe R. and Donnelly CA., (2021), Interface Focus, 11
Communicating uncertainty in epidemic models
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McCabe R. et al, (2021), Epidemics, 37, 100520 - 100520
Modelling intensive care unit capacity under different epidemiological scenarios of the COVID-19 pandemic in three Western European countries
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McCabe R. et al, (2021), International Journal of Epidemiology, 50, 753 - 767
Detection of Plasmodium falciparum in laboratory-reared and naturally infected wild mosquitoes using near-infrared spectroscopy
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Da DF. et al, (2021), Scientific Reports, 11
Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China
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Fu H. et al, (2021), International Journal of Infectious Diseases, 102, 463 - 471
Adapting hospital capacity to meet changing demands during the COVID-19 pandemic
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McCabe R. et al, (2020), BMC Medicine, 18