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Persons processed into and through jail facilities in the United States may be particularly vulnerable during an influenza pandemic. Among other concerns, public health and corrections officials need to consider flow issues, the high turnover and transitions between jails and the community, and the decentralized organization of jails. In this article, we examine some of the unique challenges jail facilities may face during an influenza pandemic and discuss issues that should be addressed to reduce the spread of illness and lessen the impact of an influenza pandemic on the jail population and their surrounding communities.

Objective: The purpose of this article is to: (1) illustrate the application of life table methodology to child abuse and neglect report data and (2) demonstrate the use of indicators derived from the life tables for monitoring the risk of child maltreatment within a community. Method: Computerized records of child maltreatment reports from a large, urban county in Ohio are cumulated for 11 years and linked for each child. Life table methods are used to estimate the probability that children from birth to age 10 will be reported victims of maltreatment by age, race, and urban or suburban residence. Results: Using life tables, the estimates in the county of this study are that 33.4% of African American children and 11.8% of White children will appear in substantiated or indicated child abuse or neglect report(s) by their 10th birthday. The age-specific probability of a maltreatment report is highest in the first year of life for both groups. The probability of a child being reported for a substantiated or indicated incident of maltreatment before his or her 10th birthday is more than three times higher for city dwellers than for suburbanites in the urban county studied here. Conclusions: Life table methodology is useful for creating child well-being indicators for communities. Such indicators reveal that a larger portion of the child population is affected by maltreatment reports than would be concluded from examining cross-sectional rates and can be used to identify racial or geographic disparities.

The capacity of communities to prevent violence is examined fromthree perspectives: youth violence, child maltreatment, and intimate partner violence. The analysis suggests that community social control and collective efficacy are significant protective factors for all three types of violence, but these need to be further distinguished for their relationships to private, parochial, and state controls. It is argued that strong interpersonal ties are not the only contributor to collective efficacy and violence prevention. Weak ties, including those outside the community, and organizational ties are also seen as necessary. Violence prevention programs should be structured in ways that contribute to the communities’ own capacity to prevent violence.

Objective To determine the mortality attributable to smoking and years of potential life lost from smoking among people in prison and whether bans on smoking in prison are associated with reductions in smoking related deaths. Design Analysis of cross sectional survey data with the smoking attributable mortality, morbidity, and economic costs system; population based time series analysis. Setting All state prisons in the United States. Main outcome measures Prevalence of smoking from cross sectional survey of inmates in state correctional facilities. Data on state prison tobacco policies from web based searches of state policies and legislation. Deaths and causes of death in US state prisons from the deaths in custody reporting program of the Bureau of Justice Statistics for 2001-11. Smoking attributable mortality and years of potential life lost was assessed from the smoking attributable mortality, morbidity, and economic costs system of the Centers for Disease Control and Prevention. Multivariate Poisson models quantified the association between bans and smoking related cancer, cardiovascular and pulmonary deaths. Results The most common causes of deaths related to smoking among people in prison were lung cancer, ischemic heart disease, other heart disease, cerebrovascular disease, and chronic airways obstruction. The age adjusted smoking attributable mortality and years of potential life lost rates were 360 and 5149 per 100 000, respectively; these figures are higher than rates in the general US population (248 and 3501, respectively). The number of states with any smoking ban increased from 25 in 2001 to 48 by 2011. In prisons the mortality rate from smoking related causes was lower during years with a ban than during years without a ban (110.4/100 000 v 128.9/100 000). Prisons that implemented smoking bans had a 9% reduction (adjusted incidence rate ratio 0.91, 95% confidence interval 0.88 to 0.95) in smoking related deaths. Bans in place for longer than nine years were associated with reductions in cancer mortality (adjusted incidence rate ratio 0.81, 95% confidence interval 0.74 to 0.90). Conclusions Smoking contributes to substantial mortality in prison, and prison tobacco control policies are associated with reduced mortality. These findings suggest that smoking bans have health benefits for people in prison, despite the limits they impose on individual autonomy and the risks of relapse after release.