Publications by authors named "Sung Woo Lim"

Neighborhood conditions influence people's health; sustaining healthy neighborhoods is a New York City (NYC) Health Department priority. Gentrification is characterized by rapid development in historically disinvested neighborhoods. The gentrification burden, including increased living expenses, and disrupted social networks, disproportionally impacts certain residents.

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Purpose: To examine neighborhood-level disparities in SARS-CoV-2 molecular test percent positivity in New York City (NYC) by demographics and socioeconomic status over time to better understand COVID-19 inequities.

Methods: Across 177 neighborhoods, we calculated the Spearman correlation of neighborhood characteristics with SARS-CoV-2 molecular test percent positivity during March 1-July 25, 2020 by five periods defined by trend in case counts: increasing, declining, and three plateau periods to account for differential testing capacity and reopening status.

Results: Percent positivity was positively correlated with neighborhood racial and ethnic characteristics and socioeconomic status, including the proportion of the population who were Latino and Black non-Latino, uninsured, Medicaid enrollees, transportation workers, or had low educational attainment.

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We assessed the influence of supportive housing, incarceration, and health service use on markers of HIV infection for people living with HIV and serious mental illness or substance use disorder (SUD) participating in a New York City supportive housing program (NY III). Using matched administrative data from 2007 to 2014, we compared survivor time without AIDS, achievement of undetectable viral load, and maintenance of viral suppression between NY III tenants (n = 696), applicants placed in other supportive housing programs (n = 333), and applicants not placed in supportive housing (n = 268). Inverse probability of treatment weights were applied to Cox proportional hazards regression models to account for confounding of observed variables.

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The electrical characteristics of quantum dots (QDs) can vary depending on the surface modulation, which can change the luminance and efficiency of electroluminescent devices. Thus, understanding surface ligand is essential in improving the performance of QDs-based light-emitting diodes (LEDs). We analyzed the performance of QDs-based LEDs with respect to the QD surface volume.

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