Moongi Choi
Biographic Data
| ID | 6073410 |
|---|---|
| NAME | Moongi Choi |
| GIVEN NAMES | Moongi |
| FAMILY NAME | Choi |
| SIGNATURE | CHOI M |
| AFFILIATIONS | Florida State University |
| ORCID | 0000-0003-0288-8552 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Understanding heat-driven health risks
As climate change intensifies, heat-related health risks are expected to increase, arising from complex interactions between environmental and social factors. Although prior research has primarily focused on the effects of extreme heat events on heat-related illnesses, the cumulative impact of prolonged summer heat on all-cause hospitalization trends, as well as its spatiotemporal interactions with key heat-risk factors, remains insufficiently un…
Reverse estimation of urban mobility patterns during pandemics using agent-based modeling
Contact Risk Assessment in Dynamic Indoor Settings through Agent‐Based Modeling
This study introduces an agent‐based model (ABM) pedestrian simulation tool to assess the risk of close contact (6 feet) in dynamic indoor environments, specifically in urban settings with diverse social activities and spatial structures. Our approach uses machine learning‐based sensitivity analysis (SA) to identify factors impacting the number of individual contacts, such as individual stay time and area. In addition, we conducted an in‐depth qu…
Regulating ecosystem services in a local forest
The management of ecosystem service supply in local forests is closely linked to the ecological well-being of residents. This study aimed to estimate the supply, tradeoffs, and synergies of local forest-regulating ecosystem services using a land cover classification map (LCCM) and a forest type map (FTM). Rigorous literature reviews and expert Delphi analyses were conducted to elicit a list of key regulating services and evaluate the potential of…
Spatial Distribution of Hateful Tweets Against Asians and Asian Americans During the Covid-19 Pandemic, November 2019 to May 2020
Objectives. To illustrate the spatiotemporal distribution of geolocated tweets that contain anti-Asian hate language in the contiguous United States during the early phase of the COVID-19 pandemic. Methods. We used a data set of geolocated tweets that match with keywords reflecting COVID-19 and anti-Asian hate and identified geographical clusters using the space-time scan statistic with Bernoulli model. Results. Anti-Asian hate language surged be…
Spatial Distribution of Hateful Tweets Against Asians and Asian Americans During the Covid-19 Pandemic, November 2019 to May 2020
Objectives. To illustrate the spatiotemporal distribution of geolocated tweets that contain anti-Asian hate language in the contiguous United States during the early phase of the COVID-19 pandemic. Methods. We used a data set of geolocated tweets that match with keywords reflecting COVID-19 and anti-Asian hate and identified geographical clusters using the space-time scan statistic with Bernoulli model. Results. Anti-Asian hate language surged be…
Spatial Distribution of Hateful Tweets Against Asians and Asian Americans During the Covid-19 Pandemic, November 2019 to May 2020
Objectives. To illustrate the spatiotemporal distribution of geolocated tweets that contain anti-Asian hate language in the contiguous United States during the early phase of the COVID-19 pandemic. Methods. We used a data set of geolocated tweets that match with keywords reflecting COVID-19 and anti-Asian hate and identified geographical clusters using the space-time scan statistic with Bernoulli model. Results. Anti-Asian hate language surged be…
Regulating ecosystem services in a local forest
The management of ecosystem service supply in local forests is closely linked to the ecological well-being of residents. This study aimed to estimate the supply, tradeoffs, and synergies of local forest-regulating ecosystem services using a land cover classification map (LCCM) and a forest type map (FTM). Rigorous literature reviews and expert Delphi analyses were conducted to elicit a list of key regulating services and evaluate the potential of…
Reverse estimation of urban mobility patterns during pandemics using agent-based modeling
Contact Risk Assessment in Dynamic Indoor Settings through Agent‐Based Modeling
This study introduces an agent‐based model (ABM) pedestrian simulation tool to assess the risk of close contact (6 feet) in dynamic indoor environments, specifically in urban settings with diverse social activities and spatial structures. Our approach uses machine learning‐based sensitivity analysis (SA) to identify factors impacting the number of individual contacts, such as individual stay time and area. In addition, we conducted an in‐depth qu…
Understanding heat-driven health risks
As climate change intensifies, heat-related health risks are expected to increase, arising from complex interactions between environmental and social factors. Although prior research has primarily focused on the effects of extreme heat events on heat-related illnesses, the cumulative impact of prolonged summer heat on all-cause hospitalization trends, as well as its spatiotemporal interactions with key heat-risk factors, remains insufficiently un…
Computer Science (2 works) · Business (1 work) · Cartography (1 work) · Climate change (1 work) · Climate Change and Health Impacts (1 work) · Climate variability and models (1 work) · Cluster (spacecraft) (1 work) · Complex Systems and Decision Making (1 work) · Computational and Text Analysis Methods (1 work) · Conservation, Biodiversity, and Resource Management (1 work)