Alexander Hohl
Biographic Data
| ID | 926959 |
|---|---|
| NAME | Alexander Hohl |
| GIVEN NAMES | Alexander |
| FAMILY NAME | Hohl |
| SIGNATURE | HOHL A |
| AFFILIATIONS | University of Utah |
| ORCID | 0000-0002-9103-0744 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
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…
Spatial Associations of Anti-Asian Hate on Social Media in the USA During Covid-19
Spatial analysis of disaster resilience research
A Geographical Analysis of Socioeconomic and Environmental Drivers of Physical Inactivity in Post Pandemic Cities
The pandemic’s lockdown has made physical inactivity unavoidable, forcing many people to work from home and increasing the sedentary nature of their lifestyle. The link between spatial and socio-environmental dynamics and people’s levels of physical activity is critical for promoting healthy lifestyles and improving population health. Most studies on physical activity or sedentary behaviors have focused on the built environment, with less attenti…
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…
Geovisualization of Covid-19
La cartographie de la prévalence et de la propagation des maladies infectieuses n’a jamais été plus cruciale que dans le contexte de la pandémie de COVID-19. Une pléthore de tableaux de bord de SIG en ligne incorporant la fonctionnalité SIG de base ont été créés ; ces tableaux de bord ont servi de plateforme pour le partage rapide de données et la communication d’information en temps réel, facilitant somme toute la prise de décisions. Toutefois, …
Rapid surveillance of Covid-19 in the United States using a prospective space-time scan statistic
A space–time parallel framework for fine-scale visualization of pollen levels across the Eastern United States
Allergic rhinitis (hay fever) resulting from seasonal pollen affects 15–30% of the population in the United States, and can exacerbate several related conditions, including asthma, atopic eczema, and allergic conjunctivitis. Timely monitoring, accurate prediction, and visualization of pollen levels are critical for public health prevention purposes, such as limiting outdoor exposure or physical activity. The low density of pollen detecting statio…
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…
A Geographical Analysis of Socioeconomic and Environmental Drivers of Physical Inactivity in Post Pandemic Cities
The pandemic’s lockdown has made physical inactivity unavoidable, forcing many people to work from home and increasing the sedentary nature of their lifestyle. The link between spatial and socio-environmental dynamics and people’s levels of physical activity is critical for promoting healthy lifestyles and improving population health. Most studies on physical activity or sedentary behaviors have focused on the built environment, with less attenti…
A space–time parallel framework for fine-scale visualization of pollen levels across the Eastern United States
Allergic rhinitis (hay fever) resulting from seasonal pollen affects 15–30% of the population in the United States, and can exacerbate several related conditions, including asthma, atopic eczema, and allergic conjunctivitis. Timely monitoring, accurate prediction, and visualization of pollen levels are critical for public health prevention purposes, such as limiting outdoor exposure or physical activity. The low density of pollen detecting statio…
A space–time parallel framework for fine-scale visualization of pollen levels across the Eastern United States
Allergic rhinitis (hay fever) resulting from seasonal pollen affects 15–30% of the population in the United States, and can exacerbate several related conditions, including asthma, atopic eczema, and allergic conjunctivitis. Timely monitoring, accurate prediction, and visualization of pollen levels are critical for public health prevention purposes, such as limiting outdoor exposure or physical activity. The low density of pollen detecting statio…
Rapid surveillance of Covid-19 in the United States using a prospective space-time scan statistic
Geovisualization of Covid-19
La cartographie de la prévalence et de la propagation des maladies infectieuses n’a jamais été plus cruciale que dans le contexte de la pandémie de COVID-19. Une pléthore de tableaux de bord de SIG en ligne incorporant la fonctionnalité SIG de base ont été créés ; ces tableaux de bord ont servi de plateforme pour le partage rapide de données et la communication d’information en temps réel, facilitant somme toute la prise de décisions. Toutefois, …
A Geographical Analysis of Socioeconomic and Environmental Drivers of Physical Inactivity in Post Pandemic Cities
The pandemic’s lockdown has made physical inactivity unavoidable, forcing many people to work from home and increasing the sedentary nature of their lifestyle. The link between spatial and socio-environmental dynamics and people’s levels of physical activity is critical for promoting healthy lifestyles and improving population health. Most studies on physical activity or sedentary behaviors have focused on the built environment, with less attenti…
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 analysis of disaster resilience research
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…
Spatial Associations of Anti-Asian Hate on Social Media in the USA During Covid-19
Geography (5 works) · Medicine (4 works) · Computer Science (3 works) · COVID-19 epidemiological studies (3 works) · Engineering (3 works) · Environmental health (3 works) · Pandemic (3 works) · Statistic (3 works) · 2019-20 coronavirus outbreak (2 works) · Cartography (2 works)