MRC strategic Award
Lead Research Organisation:
Imperial College London
Department Name: Dept of Medicine
Abstract
The proposed research aims to use information from different fields related to environment and health to establish what actions and technologies are likely to lead to the largest improvements in the health of whole populations, especially through disease prevention by reducing 'risk factors'. It will establish the current risk factor levels and envision the potential health benefits of each intervention based on epidemiological knowledge.
Technical Summary
While numerous environmental and nutritional risk factors for disease and mortality have been identified, significantly less is known on how they affect health and longevity in whole populations. My proposed research programme will integrate methods and data from population and environmental sciences, statistics and epidemiology to create a quantitative risk-based characterization of the worldwide population health transitions, in the recent past and forecasted into the future. The focus will be on a number of important global environmental and nutritional risk factors.
Planned Impact
The proposed research programme will continue Professor Ezzati's tradition of high-impact publications and policy lessons.
People |
ORCID iD |
| Majid Ezzati (Principal Investigator / Fellow) |
Publications
Arku RE
(2015)
Personal particulate matter exposures and locations of students in four neighborhoods in Accra, Ghana.
in Journal of exposure science & environmental epidemiology
Bennett J
(2014)
Vulnerability to the mortality effects of warm temperature in the districts of England and Wales
in Nature Climate Change
Bennett JE
(2015)
Future inequalities in life expectancy in England and Wales - Authors' reply.
in Lancet (London, England)
Di Cesare M
(2013)
The contributions of risk factor trends to cardiometabolic mortality decline in 26 industrialized countries.
in International journal of epidemiology
Di Cesare M
(2013)
Inequalities in non-communicable diseases and effective responses.
in Lancet (London, England)
Global Burden Of Metabolic Risk Factors For Chronic Diseases Collaboration
(2014)
Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment.
in The lancet. Diabetes & endocrinology
Global Burden Of Metabolic Risk Factors For Chronic Diseases Collaboration (BMI Mediated Effects)
(2014)
Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1·8 million participants.
in Lancet (London, England)
Kontis V
(2014)
Contribution of six risk factors to achieving the 25×25 non-communicable disease mortality reduction target: a modelling study.
in Lancet (London, England)
| Description | WHO statistics |
| Geographic Reach | Multiple continents/international |
| Policy Influence Type | Citation in other policy documents |
| Impact | Our figures on children's nutritional status and on cardio-metabolic risk factors are now used by WHO for tracking country performance. |
| Description | Biomedical Resource & Multi-User Equipment |
| Amount | £842,086 (GBP) |
| Organisation | Wellcome Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 02/2014 |
| End | 01/2018 |
| Description | SavingBrains |
| Amount | $1,867,922 (CAD) |
| Organisation | Government of Canada |
| Department | Grand Challenges Canada |
| Sector | Public |
| Country | Canada |
| Start | 12/2012 |
| End | 10/2014 |
| Description | Sustaining Health |
| Amount | £340,050 (GBP) |
| Funding ID | 103906/Z/14/Z |
| Organisation | Wellcome Trust |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2015 |
| End | 02/2017 |
| Title | Computer code for an ensemble model for projecting mortality and life expectancy |
| Description | Computer code for an ensemble model for projecting mortality and life expectancy |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | This is a novel approach to projecting mortality and life expectancy, with our code now available on an OA basis. |
| URL | https://github.com/vkontis/maple |
| Description | World Health Organization |
| Organisation | World Health Organization (WHO) |
| Department | Health Statistics and Information Systems |
| Country | Switzerland |
| Sector | Public |
| PI Contribution | Statistical models for global patterns/trends in risk factors |
| Collaborator Contribution | Data on risk factors |
| Impact | Journal publications |
| Start Year | 2008 |