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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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Comparison of Different Missing-Imputation Methods for MAIAC (Multiangle Implementation of Atmospheric Correction) AOD in Estimating Daily PM2.5 Levels

TL;DR: It was found that XG-AOD is a better choice to estimate daily PM2.5 exposure in health assessments, and efficient AOD interpolation was a precondition for the stable spatial and temporal extrapolation, while the quality of interpolated AOD showed less significant improvements.
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The impact of cold spells on mortality from a wide spectrum of diseases in Guangzhou, China

TL;DR: The elderly and females were at a higher risk of mortality for most diseases after being exposed to cold spells, and increased mortality from a wide range of diseases was significantly linked with cold spells.
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Hourly temperature variability and mortality in 31 major Chinese cities: Effect modification by individual characteristics, season and temperature zone.

TL;DR: Wang et al. as discussed by the authors quantified the mortality risk and burden of HTV and explored subpopulations susceptible to HTV from a large-scale multi-city perspective, which highlighted the practical importance of establishing early warning systems and promoting health education to mitigate the impacts of temperature variability.
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Chromosomal polymorphisms are independently associated with multinucleated embryo formation

TL;DR: Chromosomal polymorphisms were independently associated with multinucleation embryo formation and a higher LH level on the day of HCG triggering was associated with a decreased chance of multin nucleation.
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Effects of hourly levels of ambient air pollution on ambulance emergency call-outs in Shenzhen, China

TL;DR: This population-based study quantifies the adverse effects of air pollution on ambulance dispatches and provides evidence of the lag structure of the effects on an hourly time scale.