diff --git a/author/victoria-cox/index.html b/author/victoria-cox/index.html index 84fcb9e3b..6985f007a 100644 --- a/author/victoria-cox/index.html +++ b/author/victoria-cox/index.html @@ -1,5 +1,5 @@ Victoria Cox | MLGH
Victoria Cox

Victoria Cox

PhD Student

Imperial College London

My research focuses on the impact of climate on the spread of arboviruses such as dengue, chikungunya, zika, and West Nile virus. I am interested in the seasonality and heterogeneity of arbovirus transmission across space and time, and the interplay between environment, climate, human and vector populations which drives this.

Interests
  • Infectious Disease Epidemiology
  • Bayesian statistics
  • Mosquitoes and vector-borne diseases
  • Climate change
  • Vaccination and immunity
Education
  • PhD in Infectious Disease Epidemiology, 2024

    Imperial College London, UK

  • MRes in Infectious Disease Epidemiology, 2020

    Imperial College London, UK

  • MBiochem in Molecular and Cellular Biochemistry, 2018

    University of Oxford, UK

Victoria Cox

Victoria Cox

Technical Analyst

Imperial College London

I am interested in the seasonality and heterogeneity of infectious disease transmission across space and time, and the interplay between environment, land use, human behaviour, zoonotic animal reservoirs and vector populations which drives this. During my PhD my research focused on the impact of climate and environmental factors on the spread of arboviruses such as dengue, chikungunya, Zika, and West Nile virus. As part of the Modelling Translational Hub at Imperial, which provides academic modelling outputs to global health agencies and other stakeholders, my research interests centre around pandemic preparedness.

Interests
  • Infectious Disease Epidemiology
  • Bayesian statistics
  • Mosquitoes and vector-borne diseases
  • Climate change
  • Vaccination and immunity
  • Pandemic preparedness
  • Global health equity
Education
  • PhD in Infectious Disease Epidemiology, 2024

    Imperial College London, UK

  • MRes in Infectious Disease Epidemiology, 2020

    Imperial College London, UK

  • MBiochem in Molecular and Cellular Biochemistry, 2018

    University of Oxford, UK

Meet the Team

Principal Investigators

Avatar

Samir Bhatt

Professor of Machine Learning, Statistics and Public Health

Avatar

Seth Flaxman

Associate Professor

Avatar

Swapnil Mishra

Assistant Professor of Machine Learning and Public Health

Avatar

Elizaveta Semenova

Lecturer in Biostatistics, Computational Epidemiology and Machine Learning

Avatar

Oliver Ratmann

Reader in Statistics and Machine Learning for Public Good

Avatar

Juliette Unwin

Lecturer in Statistical Science

Avatar

Dino Sejdinovic

Professor of Statistical Machine Learning

Avatar

Nuno Faria

Reader in Viral Evolution

Avatar

David A. Duchene

Associate Professor in Molecular Evolutionary Epidemiology

Avatar

Moritz Kraemer

Associate Professor

Avatar

Sebastian Vollmer

Professor for Applications of Machine Learning

Researchers

Avatar

Alexandra Blenkinsop

Postdoctoral Research Associate

Avatar

Charles Whittaker

Sir Henry Wellcome Postdoctoral Fellow

Avatar

Iwona Hawryluk

Postdoctoral Research Associate

Avatar

Daniel Laydon

Research Associate in Epidemiology

Avatar

André Victor Ribeiro Amaral

Postdoctoral Research Associate

Avatar

David Selby

Senior Researcher

Jingyan Huang

Postdoctoral Researcher

Avatar

Mengyan Zhang

Postdoctoral Research Associate

Avatar

Mousumi Roy

Research Fellow

Avatar

Nicolas Banholzer

Postdoctoral researcher

Grad Students

Avatar

Andrea Brizzi

PhD student

Avatar

Yu Chen

PhD student

Avatar

Helen Coupland

PhD Student

Avatar

Giovanni Charles

Senior Software Research Engineer & PhD Student

Avatar

Johannes Hruza

PhD Student

Avatar

Kaustubh Chakradeo

PhD Candidate

Avatar

Mark Khurana

PhD Student

Avatar

Shozen Dan

PhD Student

Avatar

Siyi Sun

PhD Student

Avatar

Tristan Naidoo

PhD Student

Avatar

Victoria Cox

PhD Student

Visitors

Avatar

Prakhar Verma

Visiting Researcher

Alumni

Meet the Team

Principal Investigators

Avatar

Samir Bhatt

Professor of Machine Learning, Statistics and Public Health

Avatar

Seth Flaxman

Associate Professor

Avatar

Swapnil Mishra

Assistant Professor of Machine Learning and Public Health

Avatar

Elizaveta Semenova

Lecturer in Biostatistics, Computational Epidemiology and Machine Learning

Avatar

Oliver Ratmann

Reader in Statistics and Machine Learning for Public Good

Avatar

Juliette Unwin

Lecturer in Statistical Science

Avatar

Dino Sejdinovic

Professor of Statistical Machine Learning

Avatar

Nuno Faria

Reader in Viral Evolution

Avatar

David A. Duchene

Associate Professor in Molecular Evolutionary Epidemiology

Avatar

Moritz Kraemer

Associate Professor

Avatar

Sebastian Vollmer

Professor for Applications of Machine Learning

Researchers

Avatar

Alexandra Blenkinsop

Postdoctoral Research Associate

Avatar

Charles Whittaker

Sir Henry Wellcome Postdoctoral Fellow

Avatar

Iwona Hawryluk

Postdoctoral Research Associate

Avatar

Daniel Laydon

Research Associate in Epidemiology

Avatar

André Victor Ribeiro Amaral

Postdoctoral Research Associate

Avatar

David Selby

Senior Researcher

Jingyan Huang

Postdoctoral Researcher

Avatar

Mengyan Zhang

Postdoctoral Research Associate

Avatar

Mousumi Roy

Research Fellow

Avatar

Nicolas Banholzer

Postdoctoral researcher

Grad Students

Avatar

Andrea Brizzi

PhD student

Avatar

Yu Chen

PhD student

Avatar

Helen Coupland

PhD Student

Avatar

Giovanni Charles

Senior Software Research Engineer & PhD Student

Avatar

Johannes Hruza

PhD Student

Avatar

Kaustubh Chakradeo

PhD Candidate

Avatar

Mark Khurana

PhD Student

Avatar

Shozen Dan

PhD Student

Avatar

Siyi Sun

PhD Student

Avatar

Tristan Naidoo

PhD Student

Visitors

Avatar

Prakhar Verma

Visiting Researcher

Alumni

Avatar

Victoria Cox

Technical Analyst

2

Evolution and epidemic spread of SARS-CoV-2 in Brazil
Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil
The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries
Estimates of the severity of coronavirus disease 2019: a model-based analysis
Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
Following the emergence of a novel coronavirus1 (SARS-CoV-2) and its spread outside of China, Europe has experienced large epidemics. …
Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
Following the emergence of a novel coronavirus1 (SARS-CoV-2) and its spread outside of China, Europe has experienced large epidemics. …
Exchangeable random measures for sparse and modular graphs with overlapping communities
Quantifying HIV transmission flow between high-prevalence hotspots and surrounding communities: a population-based study in Rakai, Uganda