Marc Chadeau-Hyam

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Professor in Computational Epidemiology and Biostatistics

Imperial College London

United Kingdom

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About

Marc Chadeau-Hyam is a Professor in Computational Epidemiology and Biostatistics at Imperial College London, UK. His research focuses on the intersection of public health and data science, with recent articles addressing topics such as respiratory viral infections, the impact of COVID-19 on academic publishing, and wastewater surveillance for SARS-CoV-2. Other areas of interest include cardiovascular risk prediction and methods for enhancing population health research.

Recent Grants

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Mechanomics: Investigating molecular mechanisms involved in smoking-induced lung cancer

Open Date: 2016-10-01

Close Date: 2019-09-30

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Collaborators (17)

Birgit Linkohr

Helmholtz Zentrum München Deutsches Forschungszentrum für Umwelt und Gesundheit

GERMANY

Marc Chadeau-Hyam

Research Interests

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About

Recent Grants

Articles (20)

Respiratory viral infections awaken metastatic breast cancer cells in lungs

How COVID-19 affected academic publishing: a 3-year study of 17 million research papers

Strategies to Increase Response Rate and Reduce Nonresponse Bias in Population Health Research: Analysis of a Series of Randomized Controlled Experiments during a Large COVID-19 Study

Sex inequalities in cardiovascular risk prediction

Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs)

Proteomic signatures of eosinophilic and neutrophilic asthma from serum and sputum

The utility of wastewater surveillance for monitoring SARS-CoV-2 prevalence

SARS-CoV-2 rapid antibody test results and subsequent risk of hospitalisation and death in 361,801 people

Precision Medicine Intervention in Severe Asthma (PRISM) study: molecular phenotyping of patients with severe asthma and response to biologics

Association Between Purchase of Over-the-Counter Medications and Ovarian Cancer Diagnosis in the Cancer Loyalty Card Study (CLOCS): Observational Case-Control Study

Automated calibration for stability selection in penalised regression and graphical models

Long-term health impacts of COVID-19 among 242,712 adults in England

Automated calibration of consensus weighted distance-based clustering approaches using sharp

Biological age estimation using circulating blood biomarkers

Variant-specific symptoms of COVID-19 in a study of 1,542,510 adults in England

Omicron SARS-CoV-2 epidemic in England during February 2022: A series of cross-sectional community surveys

Persistent COVID-19 symptoms in a community study of 606,434 people in England

Health impact of seven herpesviruses on (pre)diabetes incidence and HbA1c: results from the KORA cohort

Breakthrough SARS-CoV-2 infections in double and triple vaccinated adults and single dose vaccine effectiveness among children in Autumn 2021 in England: REACT-1 study

Predictive symptoms for COVID-19 in the community: REACT-1 study of over 1 million people

Collaborators (17)

Birgit Linkohr

Helen Ward

Yasemin Hirst

Christina Atchison

Oliver Eales

Yau Adamu

Christl Donnelly

Woo-Jung Song

Paul Elliott

Bethan Davies

Wendy S. Barclay

Deborah Ashby

Ioanna Tzoulaki

Ian Adcock

Peter Joshi

Sei Won Lee

Sudha Sundar

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