Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Michael J. Tildesley"'
Publikováno v:
Viruses, Vol 16, Iss 8, p 1221 (2024)
Most mathematical models that assess the vectorial capacity of disease-transmitting insects typically focus on the influence of climatic factors to predict variations across different times and locations, or examine the impact of vector control inter
Externí odkaz:
https://doaj.org/article/f8b7d8545cec4877b247486d7c114c34
Autor:
Yehya Althobaity, Michael J. Tildesley
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Countries around the world have implemented a series of interventions to contain the pandemic of coronavirus disease (COVID-19), and significant lessons can be drawn from the study of the full transmission dynamics of the disease caused by
Externí odkaz:
https://doaj.org/article/e8ddb0118ed84bd9ae9ef0a6692b8766
A comparative analysis of epidemiological characteristics of MERS-CoV and SARS-CoV-2 in Saudi Arabia
Publikováno v:
Infectious Disease Modelling, Vol 7, Iss 3, Pp 473-485 (2022)
In this study, we determine and compare the incubation duration, serial interval, pre-symptomatic transmission, and case fatality rate of MERS-CoV and COVID-19 in Saudi Arabia based on contact tracing data we acquired in Saudi Arabia. The date of inf
Externí odkaz:
https://doaj.org/article/303a93cb93024c3a9139efb9978bcfeb
Publikováno v:
Infectious Disease Modelling, Vol 7, Iss 3, Pp 545-560 (2022)
In the early stages of the pandemic, Saudi Arabia and other countries in the Arab Gulf region relied on non-pharmaceutical therapies to limit the effect of the pandemic, much like other nations across the world. In comparison to other nations in the
Externí odkaz:
https://doaj.org/article/d38fbc8d803340dfbe5af97102526d77
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-19 (2022)
The ’Roadmap’ for relaxation of COVID-19 restrictions in England in 2021 was informed by mathematical modelling. Here, the authors perform a retrospective assessment of the accuracy of modelling predictions and identify the main sources of uncert
Externí odkaz:
https://doaj.org/article/d4ed00105dc548f3bd78f8babc5bafa1
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-7 (2022)
Leng et al. study the effect of notification window length on the epidemiological impact of COVID-19 contact tracing mobile apps with mathematical modelling. They demonstrate that short windows can be more effective at reducing transmission if they a
Externí odkaz:
https://doaj.org/article/ba7568b360f448f3869f6faf0f6249c8
Autor:
Ken T.D. Eames, Maria L. Tang, Edward M. Hill, Michael J. Tildesley, Jonathan M. Read, Matt J. Keeling, Julia R. Gog
Publikováno v:
Epidemics, Vol 42, Iss , Pp 100659- (2023)
Universities provide many opportunities for the spread of infectious respiratory illnesses. Students are brought together into close proximity from all across the world and interact with one another in their accommodation, through lectures and small
Externí odkaz:
https://doaj.org/article/4df3530cdfba42d494342186d22d1604
Autor:
Lindsay M. Beck-Johnson, Erin E. Gorsich, Clayton Hallman, Michael J. Tildesley, Ryan S. Miller, Colleen T. Webb
Publikováno v:
Epidemics, Vol 42, Iss , Pp 100668- (2023)
Transboundary livestock diseases are a high priority for policy makers because of the serious economic burdens associated with infection. In order to make well informed preparedness and response plans, policy makers often utilize mathematical models
Externí odkaz:
https://doaj.org/article/3fb9856b510a4b15add28216e8d7b0d4
Autor:
Trystan Leng, Edward M. Hill, Alex Holmes, Emma Southall, Robin N. Thompson, Michael J. Tildesley, Matt J. Keeling, Louise Dyson
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Twice weekly mass testing using lateral flow tests has helped to control pupil-to-pupil transmission in English secondary schools. Here, the authors show that repeat testing of contacts alongside mass testing could greatly reduce absences with only a
Externí odkaz:
https://doaj.org/article/13a1d20385894a9db58b216480afc20e
Autor:
Louise Dyson, Edward M. Hill, Sam Moore, Jacob Curran-Sebastian, Michael J. Tildesley, Katrina A. Lythgoe, Thomas House, Lorenzo Pellis, Matt J. Keeling
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Understanding the potential impacts of new variants of SARS-CoV-2 is important for pandemic planning. Here, the authors develop a model incorporating hypothetical new variants with varying transmissibility and immune evasion properties, and use it to
Externí odkaz:
https://doaj.org/article/716fad46c8014ae19187e56156f6edfe