Genetic Intervention in Human Subjects

对人类受试者进行基因干预

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Abstract

OBJECTIVE: Ridesharing has changed urban transportation and the distribution of some health outcomes, including alcohol consumption. Studies relating ridesharing to crime and violence at low space-time resolution (e.g., county-months) find mixed results. The aim of this study was to examine whether ridesharing was associated with increased incidence of alcohol-related assaults within highly resolved space-time units. METHODS: This spatial ecological case-crossover study used rideshare and taxi trip data from the New York City (NYC) Taxi and Limousine Commission for 2017-2018 and assault data from the NYC Police Department, aggregated within taxi zone-hours. Conditional logistic regression models estimated the odds of observing an assault for case taxi zone-hours in which an assault occurred compared to two control units of the same taxi zone-hour one week before (-168 h) and one week after (+168 h) relative to the number of rideshare trips. Separate analyses assessed assaults occurring at bars and restaurants. RESULTS: From 2017-2018, there were 47,124 nighttime assaults in the 262 taxi zones. There were 2482 taxi zone-hours at a bar and 693 taxi zone-hours at a restaurant that contained at least one nighttime assault. Ridesharing was positively associated with nighttime assaults at bars (OR: 1.050; 95% CI: 1.002-1.100) but not at restaurants (OR: 1.049; 95% CI: 0.943-1.168). CONCLUSIONS: Additional ridesharing trips are associated with increased incidence of assaults at on-premise alcohol outlets in NYC at the precise hour and taxi zone of trip origins.

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