Imperial College London

Dr Sara De Matteis

Faculty of MedicineNational Heart & Lung Institute

Honorary Clinical Senior Lecturer
 
 
 
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Contact

 

s.de-matteis

 
 
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Location

 

G51Emmanuel Kaye BuildingRoyal Brompton Campus

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Summary

 

Summary

Department info at: http://goo.gl/opezWG

Research Interests:

Occupational physician and epidemiologist with expertise in occupational lung diseases.

Specific Research areas:

1) Asbestos-related diseases, in particular lung cancer and mesothelioma

2) Occupational asthma, COPD, ILD

3) Occupational exposure methods, and development of new efficient web-based tools

4) Gene-environment interactions in occupational lung diseases

5) Climate change and occupational health co-benefits


Current Research Projects:

I am currently working on the HSE-COPD study in the UK Biobank, a cohort set up to improve our understanding of the environmental and genetic causes of common diseases that recruited 500,000 men and women aged 40-69 from the UK general population.

The overarching goal of the HSE-COPD study is to identify the occupational causes of COPD and related burden in the UK general population in order to implement focused preventive strategies at workplace.


TEACHING:

Course organizer and lecturer on epidemiology and statistical methods, occupational lung diseases and occupational health surveillance.


 

    Publications

    Journals

    De Matteis S, Forastiere F, Baldacci S, et al., 2022, Issue 1 - "Update on adverse respiratory effects of outdoor air pollution". Part 1): Outdoor air pollution and respiratory diseases: A general update and an Italian perspective., Pulmonology, Vol:28, Pages:284-296

    Cocco P, De Matteis S, 2022, The determinants of the changing speed of spread of COVID-19 across Italy, Epidemiology and Infection, Vol:150, ISSN:0950-2688

    De Matteis S, 2022, Occupational causes of chronic obstructive pulmonary disease: an update., Curr Opin Allergy Clin Immunol, Vol:22, Pages:73-79

    Nafees A, De Matteis S, Amaral A, et al., 2022, Impact of using different predictive equations on the prevalence of chronic byssinosis in textile workers in Pakistan, Occupational and Environmental Medicine, Vol:79, ISSN:1351-0711, Pages:242-244

    Broccia G, Carter J, Ozsin-Ozler C, et al., 2022, Time trend and Bayesian mapping of multiple myeloma incidence in Sardinia, Italy (vol 12, 2736, 2022), Scientific Reports, Vol:12, ISSN:2045-2322

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