Skip to main navigation
Skip to search
Skip to main content
University of Birmingham Home
Help & FAQ
Link opens in a new tab
Search content at University of Birmingham
Home
Research output
Profiles
Research units
Projects
Activities
Datasets
Equipment
Prizes
Press/Media
Cancer mortality risks from long-term exposure to ambient fine particle
Chit Ming Wong
, Hilda Tsang
, Hak Kan Lai
,
G. Neil Thomas
, Kin Bong Lam
, King Pan Chan
, Qishi Zheng
, Jon G. Ayres
, Siu Yin Lee
, Tai Hing Lam
, Thuan Quoc Thach
*
*
Corresponding author for this work
Applied Health Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
79
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Cancer mortality risks from long-term exposure to ambient fine particle'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Cancer Causes
100%
Cancer Mortality
100%
Particulate Matter 2.5 (PM2.5)
100%
Mortality Risk
100%
Long-term Exposure
100%
Ambient Fine Particles
100%
Lung
66%
Particulate Matter
66%
China
33%
Hong Kong
33%
Long-term Health Effects
33%
Breast
33%
Aerodynamic Diameter
33%
Economic Growth
33%
Satellite Data
33%
Upper Gastrointestinal Tract
33%
Cancer Risk
33%
Urban Areas
33%
Cox Regression Model
33%
PM2.5 Concentration
33%
PM2.5 Exposure
33%
Location Information
33%
Digestive
33%
Suburban Area
33%
Multiple Causes
33%
Mortality Outcomes
33%
Statistical Power
33%
Epidemiol
33%
Horizontal-vertical
33%
Vertical Location
33%
High-rise Building
33%
Residential Address
33%
Long-term Exposure to PM2.5
33%
Site Monitor
33%
Accessory Organs
33%
Health Damage
33%
Pollution Control Policy
33%
Mathematics
Regression Model
100%
Proportional Hazards Model
100%
Statistical Power
100%
Ground Level
100%
Pharmacology, Toxicology and Pharmaceutical Science
Malignant Neoplasm
100%
Cancer Mortality
100%
Long Term Exposure
100%
Biological Marker
16%
Agricultural and Biological Sciences
Lung
100%
Digestive System
50%
Digestive Tract
50%
Suburban Areas
50%
Pollution Control
50%
Earth and Planetary Sciences
Particular Matter 2.5
100%
Atmospheric Aerosol
33%
Satellite Data
16%
China
16%
Hong Kong
16%
Suburban Areas
16%
Aerodynamics
16%
Pollution Control
16%
High-Rise Building
16%