Christopher D McCort
Biographic Data
| ID | 6079541 |
|---|---|
| NAME | Christopher D McCort |
| GIVEN NAMES | Christopher D |
| FAMILY NAME | McCort |
| SIGNATURE | MCCORT C D |
| AFFILIATIONS | University of California, Davis |
| ORCID | 0000-0003-2423-0057 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 25 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 3 |
Predicting Short Time-to-Crime Guns: A Machine Learning Analysis of California Transaction Records (2010–2021)
Gun-related crime continues to be an urgent public health and safety problem in cities across the US. A key question is: how are firearms diverted from the legal retail market into the hands of gun offenders? With close to 8 million legal firearm transaction records in California (2010-2020) linked to over 380,000 records of recovered crime guns (2010-2021), we employ supervised machine learning to predict which firearms are used in crimes shortl…
Trends and Sources of Crime Guns in California: 2010–2021
Firearm-related interpersonal violence is a leading cause of death and injury in cities across the United States, and understanding the movement of firearms from on-the-books sales to criminal end-user is critical to the formulation of gun violence prevention policy. In this study, we assemble a unique dataset that combines records for over 380,000 crime guns recovered by law enforcement in California (2010-2021), and more than 126,000 guns repor…
Unemployment and Crime in US Cities During the Coronavirus Pandemic
Neighborhood Racial and Economic Segregation and Disparities in Violence During the Covid-19 Pandemic
Objectives. To describe associations between neighborhood racial and economic segregation and violence during the COVID-19 pandemic. Methods. For 13 US cities, we obtained zip code–level data on 5 violence outcomes from March through July 2018 through 2020. Using negative binomial regressions and marginal contrasts, we estimated differences between quintiles of racial, economic, and racialized economic segregation using the Index of Concentration…
Racial bias and DUI enforcement: Comparing conviction rates with frequency of behavior
Research summary This study estimates disparities in driving under the influence (DUI) convictions relative to the frequency with which racial/ethnic groups engage in alcohol‐impaired driving. We use had‐been‐drinking crashes and self‐reported alcohol‐impaired driving to approximate alcohol‐impaired driving frequency for racial/ethnic groups in California from 2001 to 2016. DUI conviction and had‐been‐drinking crash data are from a sample of 72,3…
Physical Distancing, Violence, and Crime in US Cities during the Coronavirus Pandemic
Neighborhood Racial and Economic Segregation and Disparities in Violence During the Covid-19 Pandemic
Objectives. To describe associations between neighborhood racial and economic segregation and violence during the COVID-19 pandemic. Methods. For 13 US cities, we obtained zip code–level data on 5 violence outcomes from March through July 2018 through 2020. Using negative binomial regressions and marginal contrasts, we estimated differences between quintiles of racial, economic, and racialized economic segregation using the Index of Concentration…
Unemployment and Crime in US Cities During the Coronavirus Pandemic
Trends and Sources of Crime Guns in California: 2010–2021
Firearm-related interpersonal violence is a leading cause of death and injury in cities across the United States, and understanding the movement of firearms from on-the-books sales to criminal end-user is critical to the formulation of gun violence prevention policy. In this study, we assemble a unique dataset that combines records for over 380,000 crime guns recovered by law enforcement in California (2010-2021), and more than 126,000 guns repor…
Racial bias and DUI enforcement: Comparing conviction rates with frequency of behavior
Research summary This study estimates disparities in driving under the influence (DUI) convictions relative to the frequency with which racial/ethnic groups engage in alcohol‐impaired driving. We use had‐been‐drinking crashes and self‐reported alcohol‐impaired driving to approximate alcohol‐impaired driving frequency for racial/ethnic groups in California from 2001 to 2016. DUI conviction and had‐been‐drinking crash data are from a sample of 72,3…
Racial bias and DUI enforcement: Comparing conviction rates with frequency of behavior
Research summary This study estimates disparities in driving under the influence (DUI) convictions relative to the frequency with which racial/ethnic groups engage in alcohol‐impaired driving. We use had‐been‐drinking crashes and self‐reported alcohol‐impaired driving to approximate alcohol‐impaired driving frequency for racial/ethnic groups in California from 2001 to 2016. DUI conviction and had‐been‐drinking crash data are from a sample of 72,3…
Physical Distancing, Violence, and Crime in US Cities during the Coronavirus Pandemic
Unemployment and Crime in US Cities During the Coronavirus Pandemic
Neighborhood Racial and Economic Segregation and Disparities in Violence During the Covid-19 Pandemic
Objectives. To describe associations between neighborhood racial and economic segregation and violence during the COVID-19 pandemic. Methods. For 13 US cities, we obtained zip code–level data on 5 violence outcomes from March through July 2018 through 2020. Using negative binomial regressions and marginal contrasts, we estimated differences between quintiles of racial, economic, and racialized economic segregation using the Index of Concentration…
Trends and Sources of Crime Guns in California: 2010–2021
Firearm-related interpersonal violence is a leading cause of death and injury in cities across the United States, and understanding the movement of firearms from on-the-books sales to criminal end-user is critical to the formulation of gun violence prevention policy. In this study, we assemble a unique dataset that combines records for over 380,000 crime guns recovered by law enforcement in California (2010-2021), and more than 126,000 guns repor…
Predicting Short Time-to-Crime Guns: A Machine Learning Analysis of California Transaction Records (2010–2021)
Gun-related crime continues to be an urgent public health and safety problem in cities across the US. A key question is: how are firearms diverted from the legal retail market into the hands of gun offenders? With close to 8 million legal firearm transaction records in California (2010-2020) linked to over 380,000 records of recovered crime guns (2010-2021), we employ supervised machine learning to predict which firearms are used in crimes shortl…
Poison control (5 works) · Suicide prevention (5 works) · Crime Patterns and Interventions (4 works) · Criminology (4 works) · Gun Ownership and Violence Research (4 works) · Injury prevention (4 works) · Medicine (4 works) · Psychology (4 works) · Demography (3 works) · Demography (3 works)