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Chun-Quan Ou

Researcher at Southern Medical University

Publications -  96
Citations -  30631

Chun-Quan Ou is an academic researcher from Southern Medical University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 30, co-authored 85 publications receiving 22652 citations. Previous affiliations of Chun-Quan Ou include Guangzhou Medical University.

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Spatial and temporal analysis of Air Pollution Index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001-2011.

TL;DR: The spatial and temporal variation of Air Pollution Index (API) and the associations between API and meteorological factors during 2001-2011 in Guangzhou, China are presented and found to be highly correlated among five monitoring stations.
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Daily temperature and mortality: a study of distributed lag non-linear effect and effect modification in Guangzhou

TL;DR: There are significant mortality effects of hot and cold temperatures in Guangzhou, and the elderly, females and subjects with low socioeconomic status are identified as especially vulnerable to the effect of ambient temperatures.
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Cardiovascular mortality risk attributable to ambient temperature in China

TL;DR: This study emphasises how cold weather is responsible for most part of the temperature-related CVD death burden, and may have important implications for the development of policies to reduce CVD mortality from extreme temperatures.
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Global climate change: impact of diurnal temperature range on mortality in Guangzhou, China.

TL;DR: Female, the elderly and those with low education were more susceptible to DTR than male, the youth and Those with high education, respectively, and vulnerable subpopulations should pay more attention to protect themselves from unstable daily weather.
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The Effects of Air Pollution on Mortality in Socially Deprived Urban Areas in Hong Kong, China

TL;DR: Neighborhood socioeconomic deprivation increases mortality risks associated with air pollution, and health outcomes were more strongly associated with SO2 and NO2 compared with those in middle or low SDI areas.