OBJECTIVE: To estimate the societal economic and health impacts of Maine's school-based influenza vaccination (SIV) program during the 2009 A(H1N1) influenza pandemic. DATA SOURCES: Primary and secondary data covering the 2008-09 and 2009-10 influenza seasons. STUDY DESIGN: We estimated weekly monovalent influenza vaccine uptake in Maine and 15 other states, using difference-in-difference-in-differences analysis to assess the program's impact on immunization among six age groups. We also developed a health and economic Markov microsimulation model and conducted Monte Carlo sensitivity analysis. DATA COLLECTION: We used national survey data to estimate the impact of the SIV program on vaccine coverage. We used primary data and published studies to develop the microsimulation model. PRINCIPAL FINDINGS: The program was associated with higher immunization among children and lower immunization among adults aged 18-49 years and 65 and older. The program prevented 4,600 influenza infections and generated $4.9 million in net economic benefits. Cost savings from lower adult vaccination accounted for 54 percent of the economic gain. Economic benefits were positive in 98 percent of Monte Carlo simulations. CONCLUSIONS: SIV may be a cost-beneficial approach to increase immunization during pandemics, but programs should be designed to prevent lower immunization among nontargeted groups.

CONTEXT AND OBJECTIVE: Maine implemented a statewide pre-K through 12-school vaccination program during the 2009-2010 H1N1 influenza pandemic. The main objective of this study was to determine which school, nurse, consent form, and clinic factors were associated with school-level vaccination rates for the first dose of the 2009 H1N1 pandemic vaccine. METHODS: In April 2010, school nurses or contacts were e-mailed electronic surveys. Generalized linear mixed regression was used to predict adjusted vaccination rates using random effects to account for correlations within school districts. Elementary and secondary (middle and high) schools were analyzed separately. RESULTS: Of 645 schools invited to participate, 82% (n = 531) completed the survey. After excluding schools that were ineligible or could not provide outcome data, data for 256 elementary and 124 secondary public schools were analyzed and included in the multivariable analyses. The overall, unadjusted, vaccination rate was 51% for elementary schools and 45% for secondary schools. Elementary schools that had 50 or fewer students per grade, had availability of additional nursing staff, which did not require parental presence at the H1N1 clinic or disseminated consent forms by mail and backpack (compared with backpack only) had statistically significant (P < .05) higher (adjusted) vaccination rates. For secondary schools, the vaccination rate for schools with the lowest proportion of students receiving subsidized lunch (ie, highest socioeconomic status) was 58% compared with 37% (P < .001) for schools with the highest proportion receiving subsidized lunch. CONCLUSIONS: Several factors were independently associated with vaccination rates. For elementary schools, planners should consider strategies such as providing additional nursing staff and disseminating consent forms via multiple methods. The impact of additional factors, including communication approaches and parent and student attitudes, needs to be investigated, especially for secondary schools.

The use of alternative venues beyond physician offices may help to increase rates of population influenza vaccination. Schools provide a logical setting for reaching children, but most school-located vaccination (SLV) efforts to date have been limited to local areas. The potential reach and acceptability of SLV at the national level is unknown in the United States. To address this gap, we conducted a nationally representative online survey of 1088 parents of school-aged children. We estimate rates of, and factors associated with, future hypothetical parental consent for children to participate in SLV for influenza. Based on logistic regression analysis, we estimate that 51% of parents would be willing to consent to SLV for influenza. Among those who would consent, SLV was reported as more convenient than the regular location (42.1% vs. 19.9%, P<0.001). However the regular location was preferred over SLV for the child's well-being in case of side effects (46.4% vs. 20.9%, P<0.001) and proper administration of the vaccine (31.0% vs. 21.0%, P<0.001). Parents with college degrees and whose child received the 2009-2010 seasonal or 2009 H1N1 influenza vaccination were more likely to consent, as were parents of uninsured children. Several measures of concern about vaccine safety were negatively associated with consent for SLV. Of those not against SLV, schools were preferred as more convenient to the regular location by college graduates, those whose child received the 2009-2010 seasonal or 2009 H1N1 influenza vaccination, and those with greater travel and clinic time. With an estimated one-half of U.S. parents willing to consent to SLV, this study shows the potential to use schools for large-scale influenza vaccination programs in the U.S.

School closures are used to reduce seasonal and pandemic influenza transmission, yet evidence of their effectiveness is sparse. In Argentina, annual winter school breaks occur during the influenza season, providing an opportunity to study this intervention. We used 2005-2008 national weekly surveillance data of visits to a health care provider for influenza-like illness (ILI) from all provinces. Using Serfling-specified Poisson regressions and population-based census denominators, we developed incidence rate ratios (IRRs) for the 3 weeks before, 2 weeks during, and 3 weeks after the break. For persons 5-64 years of age, IRRs were <1 for at least 1 week after the break. Observed rates returned to expected by the third week after the break; overall decrease among persons of all ages was 14%. The largest decrease was among children 5-14 years of age during the week after the break (37% lower IRR). Among adults, effects were weaker and delayed. Two-week winter school breaks significantly decreased visits to a health care provider for ILI among school-aged children and nonelderly adults.

BACKGROUND: We estimated rates of influenza-associated deaths and hospitalizations in Argentina, a country that recommends annual influenza vaccination for persons at high risk of complications from influenza illness. METHODS: We identified hospitalized persons and deaths in persons diagnosed with pneumonia and influenza (P&I, ICD-10 codes J10-J18) and respiratory and circulatory illness (R&C, codes I00-I99 and J00-J99). We defined the influenza season as the months when the proportion of samples that tested positive for influenza exceeded the annual median. We used hospitalizations and deaths during the influenza off-season to estimate, using linear regression, the number of excess deaths that occurred during the influenza season. To explore whether excess mortality varied by sex and whether people were age <65 or ≥65 years, we used Poisson regression of the influenza-associated rates. RESULTS: During 2002-2009, 2411 P&I and 8527 R&C mean excess deaths occurred annually from May to October. If all of these excess deaths were associated with influenza, the influenza-associated mortality rate was 6/100 000 person-years (95% CI 4-8/100,000 person-years for P&I and 21/100,000 person-years (95% CI 12-31/100,000 person-years) for R&C. During 2005-2008, we identified an average of 7868 P&I excess hospitalizations and 22,994 R&C hospitalizations per year, resulting in an influenza-associated hospitalization rate of 2/10,000 person-years (95% CI 1-3/10,000 person-years) for P&I and 6/10,000 person-years (95% CI 3-8/10 000 person-years) for R&C. CONCLUSION: Our findings suggest that annual rates of influenza-associated hospitalizations and death in Argentina were substantial and similar to neighboring Brazil.

BACKGROUND: School closures were widely implemented in Argentina during the 2009 H1N1 influenza virus pandemic. OBJECTIVES: To assess the economic impact of school closures on households, their effectiveness in preventing children from engaging in social group activities, and parental attitudes toward them. METHODS: Three schools that closed for 2 weeks in response to the pandemic were identified in two socioeconomically distinct cities in Argentina. All households with children enrolled in these schools were surveyed. Direct and indirect costs attributable to closures were estimated from the household perspective. Other information collected included children activities during the closures and parental attitudes toward the intervention. RESULTS: Completed questionnaires were returned by 45% of surveyed households. Direct and indirect costs due to closures represented 11% of imputed monthly household income in the city with lower socioeconomic status, and 3% in the other city (P = 0.01). Non-childcare expenses and loss of workdays were more common in the city with lower socioeconomic status. Childcare expenses were less common and were experienced by a similar percentage of households in both cities. About three-quarters of respondents in both cities agreed with the closures. The main concern among those who disagreed with closures was their negative impact on education. Children in more than two-thirds of affected households left their home at least once during the closures to spend time in public places. CONCLUSION: School closures may more significantly impact low-income households. Authorities should consider the range of economic impacts of school closures among families when planning their implementation.

BACKGROUND: Following detection of pandemic influenza A H1N1 (pH1N1) in Dallas/Fort Worth, Texas, a school district (intervention community, [IC]) closed all public schools for eight days to reduce transmission. Nearby school districts (control community [CC]) mostly remained open. METHODS: We collected household data to measure self-reported acute respiratory illness (ARI), before, during, and after school closures. We also collected influenza-related visits to emergency departments (ED(flu)). RESULTS: In both communities, self-reported ARIs and ED(flu) visits increased from before to during the school closure, but the increase in ARI rates was 45% lower in the IC,0.6% before to 1.2% during, than in the CC, 0.4% before to 1.5% during (RR(During/Before)=0.55, p=0.001; aOR(During/Before)=0.49, p<.03). For households with school age children only (no children 0-5 years), IC had even lower increases in adjusted ARI than in the CC (aOR(During/Before)=0.28, p<.001). The relative increase of total ED(flu) visits in the IC was 27% lower (2.8% before to 4.4% during) compared to the CC (2.9% before to 6.2% during). Among children 6-18 years old, the percentage of ED(flu) in IC remained constant (5.1% before vs. 5.2% during), while in the CC it more than doubled (5.2% before vs. 10.9% during). After schools re-opened, ARI rates and ED(flu) visits decreased in both communities. CONCLUSIONS: Our study documents a reduction in ARI and ED(flu) visits in the intervention community. Our findings can be used to assess the potential benefit of school closures during pandemics.

The overall and indirect effects of immunizing school children with influenza A (H1N1) 2009 pandemic virus vaccine prior to and during the peak of virus circulation were evaluated on student and teacher school absenteeism. We used records collected from late 2009 through early 2010 from schools in four Maine counties. Mixed logistic regression models were used to estimate the daily association between school-level immunization coverage and absenteeism by level of influenza activity, after adjusting for the proportion of students receiving reduced-cost lunches, student minority status, absences adjacent to weekends and Thanksgiving, rural school location, and the circulation of other respiratory viruses. Increasing student immunization coverage was associated with reduced absenteeism during periods of high influenza activity. For example, as immunization coverage during the peak week of pandemic virus circulation increased from 38% to 69% (the 10th and 90th percentiles of observed coverage, respectively), relative reductions in daily absenteeism among all students, unimmunized students, and teachers were 8.2% (95% confidence interval [CI]: 6.5, 9.9), 5.7% (95% CI: 4.2, 7.3), and 8.7% (95% CI: 1.3, 16), respectively. Increased vaccination coverage among school-aged Maine children had modest overall and indirect effects on student and teacher absenteeism, despite vaccination occurring just prior and during peak pandemic virus circulation.

OBJECTIVE: To quantify contributions of individual sociodemographic factors, neighborhood socioeconomic status (NSES), and unmeasured factors to racial/ethnic differences in health behaviors for non-Hispanic (NH) whites, NH blacks, and Mexican Americans. METHODS: We used linear regression and Oaxaca decomposition analyses. RESULTS: Although individual characteristics and NSES contributed to racial/ethnic differences in health behaviors, differential responses by individual characteristics and NSES also played a significant role. CONCLUSIONS: There are racial/ethnic differences in the way that individual-level determinants and NSES affect health behaviors. Understanding the mechanisms for differential responses could inform community interventions and public health campaigns that target particular groups.

While information for the medical aspects of disaster surge is increasingly available, there is little guidance for health care facilities on how to manage the psychological aspects of large-scale disasters that might involve a surge of psychological casualties. In addition, no models are available to guide the development of training curricula to address these needs. This article describes 2 conceptual frameworks to guide hospitals and clinics in managing such consequences. One framework was developed to understand the antecedents of psychological effects or "psychological triggers" (restricted movement, limited resources, limited information, trauma exposure, and perceived personal or family risk) that cause the emotional, behavioral, and cognitive reactions following large-scale disasters. Another framework, adapted from the Donabedian quality of care model, was developed to guide appropriate disaster response by health care facilities in addressing the consequences of reactions to psychological triggers. This framework specifies structural components (internal organizational structure and chain of command, resources and infrastructure, and knowledge and skills) that should be in place before an event to minimize consequences. The framework also specifies process components (coordination with external organizations, risk assessment and monitoring, psychological support, and communication and information sharing) to support evidence-informed interventions.

BACKGROUND: Insomnia is the most commonly reported sleep disorder, characterized by trouble falling asleep, staying asleep, or waking up too early. Previous epidemiological data reveal that women are more likely than men to suffer from insomnia symptoms. We investigate the role that mental health history plays in explaining the gender disparity in insomnia symptoms. METHODS: Using logistic regression, we analyze National Health and Nutritional Examination Survey (NHANES) III interview and laboratory data, merged with data on sociodemographic characteristics of the residential census tract of respondents. Our sample includes 5469 young adults (ages 20-39) from 1429 census tracts. RESULTS: Consistent with previous research, we find that women are more likely to report insomnia symptoms compared to men (16.7% vs. 9.2%). However, in contrast to previous work, we show that the difference between women's and men's odds of insomnia becomes statistically insignificant after adjusting for history of mental health conditions (OR=1.08, p>.05). CONCLUSIONS: The gender disparity in insomnia symptoms may be driven by higher prevalence of affective disorders among women. This finding has implications for clinical treatment of both insomnia and depression, especially among women.