Journal of urban health : bulletin of the New York Academy of Medicine
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The USA has very high rates of homicide by police compared to other high-income countries, with approximately 1000 civilians killed annually. The overwhelming majority of these police homicides are fatal shootings. Over the past 5 years, several comprehensive, real-time, data repositories, drawn largely from news reporting, have kept track of incidents in which civilians die during an encounter with the police and have become widely available. ⋯ Explanatory ecologic variables in our models include the violent crime rate, the percentage of the state population that is non-White, poverty rate, and urbanization, along with a validated proxy for firearm prevalence. We find that rates of police shooting deaths are significantly and positively correlated with levels of household gun ownership, even after accounting for the other explanatory variables. The association is stronger for the shooting of armed (with a gun) rather than unarmed victims.
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This paper underscores the need for detailed data on health and disaster risks for sub-Saharan African cities, particularly for their informal settlements. Systems that should contribute to the information base on health and health risks in each locality are rarely functional. In most cities, there is a lack of data on health risks, health outcomes, and health determinants; where data are available, they are usually too aggregated to be useful to urban governments. ⋯ The second is from data collected by slum/shack dweller federations, which offer qualitative and quantitative findings on health, disasters, and other health determinants in informal settlements. Our conclusion reflects upon the need for additional data on multiple risks to advance urban health and well-being and support the 2030 Agenda for Sustainable Development. It also highlights the need to strengthen accountable urban governance in sub-Saharan Africa.
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This analysis uses network and spatial data to identify optimal individuals to target with overdose prevention interventions in rural Appalachia. Five hundred and three rural persons who use drugs were recruited to participate in the Social Networks among Appalachian People Study (2008-2010). Interviewer-administered surveys collected information on demographic characteristics, risk behaviors (including overdose history), network members, and residential addresses. ⋯ Those with at least one network member who previously overdosed were more geographically central and occupied more central network positions. Further, the number of network members with an overdose history increased with decreasing distance to the town center, increasing network centrality, and prior enrollment in an alcohol detox program. Because fatal overdoses can be prevented through bystander intervention, these findings suggest that strategies that target more central individuals (both geographically and based on their network positions) and those who have previously enrolled in alcohol detox programs with overdose prevention training and naloxone may optimize intervention reach and have the potential to curb overdose fatalities in this region.
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The digital neighborhood is the amalgamation of the spaces online where youth connect with others. Just as Black and Hispanic youth live in neighborhoods that influence their health, they are also influenced by online digital neighborhoods. Youth are exposed to social media content featuring substance use, sexual risk, and violence, yet little is known about the extent to which youth engage with such content. ⋯ Users reported lower levels of engagement with risk-related content (on an engagement continuum), ranging from passive exposure to dissemination. While negative risks may be amplified in the digital neighborhood, youth appear to strategically limit their engagement with that content. However, because risk behavior messaging is common in these digital neighborhoods, these spaces provide opportunities for health promotion interventions.
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The surname of coauthor Lynn Michalopoulos was misspelled (as "Michalopolous") in this originally published. The original article has been corrected.