주요 진행 속도를 이용한 비교 연구에서의 질병 진행 정량화 및 비교
기존의 평균 변화량(CFB) 지표의 한계를 극복하기 위해, 질병 진행 속도를 더 정확하게 반영하는 주요 진행 속도(PPR) 지표를 제시하고, 다양한 질병 진행 패턴에서 PPR의 효용성을 입증한다.
How the Distribution of Immunity Times Affects Oscillations in SIRS Epidemic Models
The distribution of immunity times in a population, specifically when modeled using broadened step functions (soft steps), significantly influences the emergence and shape of periodic outbreaks in epidemic dynamics, as demonstrated through a modified SIRS model incorporating the kernel series framework.
The Nudge Average Treatment Effect: Identifying Causal Effects When Standard Instrumental Variable Assumptions Fail
This paper introduces a novel approach to identify causal treatment effects using instrumental variables, even when the common assumption of monotonicity doesn't hold, by focusing on the "Nudge Average Treatment Effect" (NATE) – the average effect for individuals whose treatment status is influenced by the instrument.
Human-Isolated Bovine H5N1 Virus Shows Transmissibility and Lethality in Animal Models
A novel H5N1 virus, isolated from a human infected during a bovine outbreak, has demonstrated respiratory droplet transmission and high lethality in animal models, raising concerns about pandemic potential.
Causal Inference of PM2.5 Constituent Effects on Health Using Double/Debiased Machine Learning with Regression Calibration for Measurement Error Correction
This research proposes a novel method combining double/debiased machine learning (DML) with regression calibration to accurately estimate the causal effects of individual PM2.5 constituents on health outcomes, addressing challenges posed by correlated constituents, measurement error, and confounding factors.
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