Home

Felfal olvasztott belátása warwick epideiology louise dyson tű Vállalat hideg

Louise DYSON | The University of Warwick, Coventry | Warwick Mathematics  Institute | Research profile
Louise DYSON | The University of Warwick, Coventry | Warwick Mathematics Institute | Research profile

SARS-CoV-2 infection in UK university students: lessons from  September–December 2020 and modelling insights for future student
SARS-CoV-2 infection in UK university students: lessons from September–December 2020 and modelling insights for future student

Dr Louise Dyson
Dr Louise Dyson

Louise Dyson.pptx
Louise Dyson.pptx

Friends | Judith Dyson | Q Community
Friends | Judith Dyson | Q Community

Ada Lovelace Day – Warwick Maths Society – Ada Lovelace Day
Ada Lovelace Day – Warwick Maths Society – Ada Lovelace Day

Louise Dyson.pptx
Louise Dyson.pptx

Louise Dyson (@DrLouiseDyson) / Twitter
Louise Dyson (@DrLouiseDyson) / Twitter

Interview: Louise Dyson - European Medical Journal
Interview: Louise Dyson - European Medical Journal

Sense about Science
Sense about Science

Possible future waves of SARS-CoV-2 infection generated by variants of  concern with a range of characteristics
Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics

Testing testing in schools | plus.maths.org
Testing testing in schools | plus.maths.org

Louise Dyson (@DrLouiseDyson) / Twitter
Louise Dyson (@DrLouiseDyson) / Twitter

Emma Southall - Postdoctoral Research Fellow - University of Warwick |  LinkedIn
Emma Southall - Postdoctoral Research Fellow - University of Warwick | LinkedIn

Dr Louise Dyson
Dr Louise Dyson

Louise Dyson | Nature Portfolio Health Community
Louise Dyson | Nature Portfolio Health Community

Shining a light on COVID modelling | plus.maths.org
Shining a light on COVID modelling | plus.maths.org

Louise Dyson (@DrLouiseDyson) / Twitter
Louise Dyson (@DrLouiseDyson) / Twitter

JUNIPER: Control options for mitigating a rapid rise in infection, 12  October 2021 - GOV.UK
JUNIPER: Control options for mitigating a rapid rise in infection, 12 October 2021 - GOV.UK

Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating  the reproductive number - Matt J. Keeling, Louise Dyson, Glen  Guyver-Fletcher, Alex Holmes, Malcolm G Semple, , ISARIC4C Investigators,  ISARIC4C Investigators, Michael
Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number - Matt J. Keeling, Louise Dyson, Glen Guyver-Fletcher, Alex Holmes, Malcolm G Semple, , ISARIC4C Investigators, ISARIC4C Investigators, Michael

Prospects for detecting early warning signals in discrete event sequence  data: Application to epidemiological incidence data | PLOS Computational  Biology
Prospects for detecting early warning signals in discrete event sequence data: Application to epidemiological incidence data | PLOS Computational Biology

Predictions of COVID-19 dynamics in the UK: Short-term forecasting and  analysis of potential exit strategies | PLOS Computational Biology
Predictions of COVID-19 dynamics in the UK: Short-term forecasting and analysis of potential exit strategies | PLOS Computational Biology

Louise Dyson
Louise Dyson

Vaccination and Non-Pharmaceutical Interventions: When can the UK relax  about COVID-19?
Vaccination and Non-Pharmaceutical Interventions: When can the UK relax about COVID-19?

Possible future waves of SARS-CoV-2 infection generated by variants of  concern with a range of characteristics | Nature Communications
Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics | Nature Communications

Vaccination and non-pharmaceutical interventions for COVID-19: a  mathematical modelling study - The Lancet Infectious Diseases
Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study - The Lancet Infectious Diseases

Vaccination and non-pharmaceutical interventions for COVID-19: a  mathematical modelling study
Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study

Measuring and modelling the effects of systematic non-adherence to mass  drug administration
Measuring and modelling the effects of systematic non-adherence to mass drug administration