Daniel Patrick Johnson
Biographic Data
| ID | 9879633 |
|---|---|
| NAME | Daniel Patrick Johnson |
| GIVEN NAMES | Daniel Patrick |
| FAMILY NAME | Johnson |
| SIGNATURE | JOHNSON D P |
| AFFILIATIONS | University of Indianapolis |
| ORCID | 0000-0002-9949-7584 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Predicting Covid-19 community infection relative risk with a Dynamic Bayesian Network
As COVID-19 continues to impact the United States and the world at large it is becoming increasingly necessary to develop methods which predict local scale spread of the disease. This is especially important as newer variants of the virus are likely to emerge and threaten community spread. We develop a Dynamic Bayesian Network (DBN) to predict community-level relative risk of COVID-19 infection at the census tract scale in the U.S. state of India…
A quasi-experimental approach for evaluating the heat mitigation effects of green roofs in Chicago, Illinois
Population-Based Disparities in U.S. Urban Heat Exposure from 2003 to 2018
Previous studies have shown, in the United States (U.S.), that communities of color are exposed to significantly higher temperatures in urban environments than complementary White populations. Studies highlighting this disparity have generally been cross-sectional and are therefore "snapshots" in time. Using surface urban heat island (SUHI) intensity data, U.S. Census 2020 population counts, and a measure of residential segregation, this study pe…
Developing an applied extreme heat vulnerability index utilizing socioeconomic and environmental data
No prominent works on this page.
Developing an applied extreme heat vulnerability index utilizing socioeconomic and environmental data
Predicting Covid-19 community infection relative risk with a Dynamic Bayesian Network
As COVID-19 continues to impact the United States and the world at large it is becoming increasingly necessary to develop methods which predict local scale spread of the disease. This is especially important as newer variants of the virus are likely to emerge and threaten community spread. We develop a Dynamic Bayesian Network (DBN) to predict community-level relative risk of COVID-19 infection at the census tract scale in the U.S. state of India…
A quasi-experimental approach for evaluating the heat mitigation effects of green roofs in Chicago, Illinois
Population-Based Disparities in U.S. Urban Heat Exposure from 2003 to 2018
Previous studies have shown, in the United States (U.S.), that communities of color are exposed to significantly higher temperatures in urban environments than complementary White populations. Studies highlighting this disparity have generally been cross-sectional and are therefore "snapshots" in time. Using surface urban heat island (SUHI) intensity data, U.S. Census 2020 population counts, and a measure of residential segregation, this study pe…
Geography (4 works) · Cartography (3 works) · Population (3 works) · Census (2 works) · Computer Science (2 works) · Environmental health (2 works) · Environmental Science (2 works) · Urban Green Space and Health (2 works) · Urban Heat Island Mitigation (2 works) · Air Quality and Health Impacts (1 works)