Eric Delmelle
Biographic Data
| ID | 2382773 |
|---|---|
| NAME | Eric Delmelle |
| GIVEN NAMES | Eric |
| FAMILY NAME | Delmelle |
| SIGNATURE | DELMELLE E |
| AFFILIATIONS | University of North Carolina at Charlotte |
| ORCID | 0000-0002-5117-2238 |
| VERIFIED | Yes |
| TOTAL WORKS | 21 |
| TOTAL CITATIONS | 16 |
| AUTHOR COUNT | 21 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
A web-based spatial decision support system of Covid-19 wastewater surveillance on a university campus
Smart cartography for sustainable development: International Cartographic Conference 2023
Using civically engaged research to promote young Black and Latino children’s well-being: Lessons from a new interdisciplinary community-university, faculty–student collaboration
Developing geospatial analytical methods to explore and communicate the spread of Covid19
The onset of the COVID-19 pandemic in late 2019 triggered an unprecedented global health crisis. Originating in Wuhan, China, the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a worldwide upheaval, affecting every aspect of human life. As countries grappled with rising case counts, hospitalizations, and fatalities, the role of geospatial information and visualization in managing and understanding the pandem…
Bringing ethics to cartography and geographic information science: AutoCarto 2022
Knowledge, Attitudes, and Practices (Kap) Toward Dengue Fever in Cali, Colombia
Dengue fever is a vector-borne disease transmitted by the Aedes (Ae. aegypti or Ae. albopictus) mosquito, with a presence in more than 100 countries and a major cause of morbidity and mortality globally, particularly in the Americas. As an alternative to mosquito habitat control, international health organizations propose community empowerment methodologies shaped by recommendations resulting from the understanding of the knowledge, attitudes, an…
A web-based analytical framework for the detection and visualization space-time clusters of Covid-19
The COVID-19 pandemic has had a profound impact worldwide and continues to spread due to various mutations of the virus. Many governmental and nonprofit agencies at different levels have quickly developed COVID-19 dashboards to disseminate information on the pandemic to the public. However, most of these systems have mainly distributed "plain" information (e.g. cases, death counts, vaccination), and rarely provided insights that can be gained fro…
The association of crash response times and deaths at the crash scene: A cross‐sectional analysis using the 2019 National Emergency Medical Service Information System
BACKGROUND: Deaths at the crash scene (DAS) are crash deaths that occur within minutes after a crash. Rapid crash responses may reduce the occurrence of DAS. OBJECTIVES: This study aims to assess the association of crash response time and DAS during the rush and nonrush hour periods by rurality/urbanicity. METHOD: This single-year cross-sectional study used the 2019 National Emergency Medical Services (EMS) Information System. The outcome variabl…
Geographical accessibility to primary health care in Finland – Grid-based multimodal assessment
Geographic accessibility of health services is one of the key dimensions affecting health care access, utilisation and may impact population health. We analysed countrywide space-time accessibility to primary health services by private car and multimodal walk-ride-walk travel chains of public transport in Finland. The analysis utilises register-based population grid cell data at 250m × 250 m resolution, road network with scheduled public transpor…
NDS: An interactive, web-based system to visualize urban neighborhood dynamics in United States
NDS is an interactive, web-based system, for the visualization of multidimensional neighborhood dynamics across the 50 largest US Metropolitan Statistical Areas (MSAs) from 1980 to 2010 (http://neighborhooddynamics.dreamhosters.com). Four different visualization tools are developed: (1) an interactive time slider to show neighborhood classification changes for different years; (2) multiple interactive bar charts for each variables of each neighbo…
Examining Wing Length–Abundance Relationships and Pyrethroid Resistance Mutations among Aedes albopictus in a Rapidly Growing Urban Area with Implications for Mosquito Surveillance and Control
Aedes albopictus is a cosmopolitan mosquito species capable of transmitting arboviruses such as dengue, chikungunya, and Zika. To control this and similar species, public and private entities often rely on pyrethroid insecticides. In this study, we screened Ae. albopictus collected from June to August 2017 in Mecklenburg County, a rapidly growing urban area of North Carolina, for mutations conferring pyrethroid resistance and examined spatiotempo…
Geovisualization of Covid-19: State of the Art and Opportunities
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: Detecting and evaluating emerging clusters
Knowledge, attitudes, and practices regarding dengue, chikungunya, and Zika in Cali, Colombia
A Novel Sampling Method to Measure Socioeconomic Drivers of Aedes albopictus Distribution in Mecklenburg County, North Carolina
Climate change, urbanization, and globalization have facilitated the spread of Aedes mosquitoes into regions that were previously unsuitable, causing an increased threat of arbovirus transmission on a global scale. While numerous studies have addressed the urban ecology of Ae. albopictus , few have accounted for socioeconomic factors that affect their range in urban regions. Here we introduce an original sampling design for Ae. albopictus , that …
SNAPScapes: Using Geodemographic Segmentation to Classify the Food Access Landscape
Scholars are in agreement that the local food environment is shaped by a multitude of factors from socioeconomic characteristics to transportation options, as well as the availability and distance to various food establishments. Despite this, most place-based indicators of “food deserts”, including those identified as so by the US Department of Agriculture (USDA), only include a limited number of factors in their designation. In this article, we …
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…
Re-conceptualizing accessibility to parks in multi-modal cities: A Variable-width Floating Catchment Area (VFCA) method
Factors Associated with Travel Time and Distance to Access Hospital Care Among Infants with Spina Bifida
Mapping collective human activity in an urban environment based on mobile phone data
Identifying and characterizing variations of human activity – specifically changes in intensity and similarity – in urban environments provide insights into the social component of those eminently complex systems. Using large volumes of user-generated mobile phone data, we derive mobile communication profiles that we use as a proxy for the collective human activity. In this article, geocomputational methods and geovisual analytics such as self-or…
Geographic characteristics of a network interdiction problem
A web-based analytical framework for the detection and visualization space-time clusters of Covid-19
The COVID-19 pandemic has had a profound impact worldwide and continues to spread due to various mutations of the virus. Many governmental and nonprofit agencies at different levels have quickly developed COVID-19 dashboards to disseminate information on the pandemic to the public. However, most of these systems have mainly distributed "plain" information (e.g. cases, death counts, vaccination), and rarely provided insights that can be gained fro…
Mapping collective human activity in an urban environment based on mobile phone data
Identifying and characterizing variations of human activity – specifically changes in intensity and similarity – in urban environments provide insights into the social component of those eminently complex systems. Using large volumes of user-generated mobile phone data, we derive mobile communication profiles that we use as a proxy for the collective human activity. In this article, geocomputational methods and geovisual analytics such as self-or…
Knowledge, attitudes, and practices regarding dengue, chikungunya, and Zika in Cali, Colombia
SNAPScapes: Using Geodemographic Segmentation to Classify the Food Access Landscape
Scholars are in agreement that the local food environment is shaped by a multitude of factors from socioeconomic characteristics to transportation options, as well as the availability and distance to various food establishments. Despite this, most place-based indicators of “food deserts”, including those identified as so by the US Department of Agriculture (USDA), only include a limited number of factors in their designation. In this article, we …
Using civically engaged research to promote young Black and Latino children’s well-being: Lessons from a new interdisciplinary community-university, faculty–student collaboration
Bringing ethics to cartography and geographic information science: AutoCarto 2022
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…
Mapping collective human activity in an urban environment based on mobile phone data
Identifying and characterizing variations of human activity – specifically changes in intensity and similarity – in urban environments provide insights into the social component of those eminently complex systems. Using large volumes of user-generated mobile phone data, we derive mobile communication profiles that we use as a proxy for the collective human activity. In this article, geocomputational methods and geovisual analytics such as self-or…
Geographic characteristics of a network interdiction problem
Re-conceptualizing accessibility to parks in multi-modal cities: A Variable-width Floating Catchment Area (VFCA) method
Factors Associated with Travel Time and Distance to Access Hospital Care Among Infants with Spina Bifida
A Novel Sampling Method to Measure Socioeconomic Drivers of Aedes albopictus Distribution in Mecklenburg County, North Carolina
Climate change, urbanization, and globalization have facilitated the spread of Aedes mosquitoes into regions that were previously unsuitable, causing an increased threat of arbovirus transmission on a global scale. While numerous studies have addressed the urban ecology of Ae. albopictus , few have accounted for socioeconomic factors that affect their range in urban regions. Here we introduce an original sampling design for Ae. albopictus , that …
SNAPScapes: Using Geodemographic Segmentation to Classify the Food Access Landscape
Scholars are in agreement that the local food environment is shaped by a multitude of factors from socioeconomic characteristics to transportation options, as well as the availability and distance to various food establishments. Despite this, most place-based indicators of “food deserts”, including those identified as so by the US Department of Agriculture (USDA), only include a limited number of factors in their designation. In this article, we …
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: Detecting and evaluating emerging clusters
Knowledge, attitudes, and practices regarding dengue, chikungunya, and Zika in Cali, Colombia
Geographical accessibility to primary health care in Finland – Grid-based multimodal assessment
Geographic accessibility of health services is one of the key dimensions affecting health care access, utilisation and may impact population health. We analysed countrywide space-time accessibility to primary health services by private car and multimodal walk-ride-walk travel chains of public transport in Finland. The analysis utilises register-based population grid cell data at 250m × 250 m resolution, road network with scheduled public transpor…
NDS: An interactive, web-based system to visualize urban neighborhood dynamics in United States
NDS is an interactive, web-based system, for the visualization of multidimensional neighborhood dynamics across the 50 largest US Metropolitan Statistical Areas (MSAs) from 1980 to 2010 (http://neighborhooddynamics.dreamhosters.com). Four different visualization tools are developed: (1) an interactive time slider to show neighborhood classification changes for different years; (2) multiple interactive bar charts for each variables of each neighbo…
Examining Wing Length–Abundance Relationships and Pyrethroid Resistance Mutations among Aedes albopictus in a Rapidly Growing Urban Area with Implications for Mosquito Surveillance and Control
Aedes albopictus is a cosmopolitan mosquito species capable of transmitting arboviruses such as dengue, chikungunya, and Zika. To control this and similar species, public and private entities often rely on pyrethroid insecticides. In this study, we screened Ae. albopictus collected from June to August 2017 in Mecklenburg County, a rapidly growing urban area of North Carolina, for mutations conferring pyrethroid resistance and examined spatiotempo…
Geovisualization of Covid-19: State of the Art and Opportunities
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, …
The association of crash response times and deaths at the crash scene: A cross‐sectional analysis using the 2019 National Emergency Medical Service Information System
BACKGROUND: Deaths at the crash scene (DAS) are crash deaths that occur within minutes after a crash. Rapid crash responses may reduce the occurrence of DAS. OBJECTIVES: This study aims to assess the association of crash response time and DAS during the rush and nonrush hour periods by rurality/urbanicity. METHOD: This single-year cross-sectional study used the 2019 National Emergency Medical Services (EMS) Information System. The outcome variabl…
A web-based analytical framework for the detection and visualization space-time clusters of Covid-19
The COVID-19 pandemic has had a profound impact worldwide and continues to spread due to various mutations of the virus. Many governmental and nonprofit agencies at different levels have quickly developed COVID-19 dashboards to disseminate information on the pandemic to the public. However, most of these systems have mainly distributed "plain" information (e.g. cases, death counts, vaccination), and rarely provided insights that can be gained fro…
Using civically engaged research to promote young Black and Latino children’s well-being: Lessons from a new interdisciplinary community-university, faculty–student collaboration
Developing geospatial analytical methods to explore and communicate the spread of Covid19
The onset of the COVID-19 pandemic in late 2019 triggered an unprecedented global health crisis. Originating in Wuhan, China, the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a worldwide upheaval, affecting every aspect of human life. As countries grappled with rising case counts, hospitalizations, and fatalities, the role of geospatial information and visualization in managing and understanding the pandem…
Bringing ethics to cartography and geographic information science: AutoCarto 2022
Knowledge, Attitudes, and Practices (Kap) Toward Dengue Fever in Cali, Colombia
Dengue fever is a vector-borne disease transmitted by the Aedes (Ae. aegypti or Ae. albopictus) mosquito, with a presence in more than 100 countries and a major cause of morbidity and mortality globally, particularly in the Americas. As an alternative to mosquito habitat control, international health organizations propose community empowerment methodologies shaped by recommendations resulting from the understanding of the knowledge, attitudes, an…
A web-based spatial decision support system of Covid-19 wastewater surveillance on a university campus
Smart cartography for sustainable development: International Cartographic Conference 2023
Geography (14 works) · Computer Science (9 works) · Medicine (9 works) · Environmental health (7 works) · Population (7 works) · Demography (6 works) · Cartography (5 works) · Data mining (5 works) · Data-Driven Disease Surveillance (5 works) · Visualization (5 works)