Masaki Iwasaki
Seoul National University · 社会科学
研究室紹介
Professor Masaki Iwasaki's research lab specializes in population health sciences, focusing on health disparities and the impact of social and environmental factors on health outcomes. The lab employs advanced statistical methods such as multilevel survival models and intersectionality-informed analysis to examine time-to-event health data, particularly in the context of chronic disease diagnosis and climate-related mortality. Current research emphasizes understanding how social stratification—such as gender, education, income, and geography—interacts with environmental exposures like temperature variability to shape health risks across populations. The lab integrates large-scale population surveys with rigorous epidemiological modeling to inform targeted public health policies.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
2Background Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) is a leading quantitative approach for intersectionality-informed health research, but most applications analyse binary or cross-sectional outcomes, ignoring event timing. We applied a multilevel survival (shared frailty) model within the MAIHDA framework to examine intersectional disparities in time-to-diagnosis of hypertension. Methods Using 2019 Korean Community Health Survey data (n=228 632), we d
Potential effect modifiers of temperature variability-related mortalityBackground/AimIn relation to climate change, extreme temperature events are known to be associated with increased mortality. Temperature variability (TV) is also known to increase the risk of human mortality. Several studies have reported various factors such as temperature, demographic characteristics, and local climate as potential modifiers of TV-mortality risk. However, there was a lack of comprehensive and potential modi