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Background During August 2021–September 2021, a Connecticut college experienced a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Delta variant outbreak despite high (99%) vaccination coverage, indoor masking policies, and twice-weekly testing. The Connecticut Department of Public Health investigated characteristics associated with infection and phylogenetic relationships among cases. Methods A case was a SARS-CoV-2 infection diagnosed by a viral test during August 2021–September 2021 in a student. College staff provided enrollment and case information. An anonymous online student survey collected demographics, SARS-CoV-2 case and vaccination history, and activities preceding the outbreak. Multivariate logistic regression identified characteristics associated with infection. Phylogenetic analyses compared 115 student viral genome sequences with contemporaneous community genomes. Results Overall, 199 of 1788 students (11%) had laboratory-confirmed SARS-CoV-2 infection; most were fully vaccinated (194 of 199, 97%). Attack rates were highest among sophomores (72 of 414, 17%) and unvaccinated students (5 of 18, 28%). Attending in-person classes with an infectious student was not associated with infection (adjusted odds ratio [aOR], 1.0; 95% confidence interval [CI], .5–2.2). Compared with uninfected students, infected students were more likely to be sophomores (aOR, 3.3; 95% CI, 1.1–10.7), attend social gatherings before the outbreak (aOR, 2.8; 95% CI, 1.3–6.4), and complete a vaccine series ≥180 days prior (aOR, 5.5; 95% CI, 1.8–16.2). Phylogenetic analyses suggested a common viral source for most cases. Conclusions SARS-CoV-2 infection in this highly vaccinated college population was associated with unmasked off-campus social gatherings, not in-person classes. Students should stay up to date on vaccination to reduce infection.

COVID-19 hospitalizations of non-institutionalized persons during the first COVID-19 wave in Connecticut disproportionately affected the elderly, communities of color, and individuals of low socioeconomic status (SES). Whether the magnitude of these disparities changed after the initial lockdown and before vaccine rollout is not well documented.All first-time hospitalizations with laboratory-confirmed COVID-19 during July to December 2020, including patients' geocoded residential addresses, were obtained from the Connecticut Department of Public Health. Those living in congregate settings, including nursing homes, were excluded. Community-dwelling patients were assigned census tract-level poverty and crowding measures from the 2014-2018 American Community Survey by linking their geocoded addresses to census tracts. Age-adjusted incidence and relative rates were calculated across demographic and SES measures and compared with those from a similar analysis of hospitalized cases during the initial wave.During July to December 2020, there were 5652 COVID-19 hospitalizations in community residents in Connecticut. Incidence was highest among those85 years, non-Hispanic Blacks and Hispanic/Latinx compared with non-Hispanic Whites {relative rate (RR) 3.1 (95% confidence interval [CI] 2.83-3.32) and 5.9 (95% CI 5.58-6.28)}, and persons living in high poverty and high crowding census tracts. Although racial/ethnic and SES disparities during the study period were substantial, they were significantly decreased compared with the first wave of COVID-19.The finding of persistent, if reduced, large racial/ethnic disparities in COVID-19 hospitalizations 2-7 months after the initial lockdown was relaxed and before vaccination was widely available is of concern. These disparities cause a challenge to achieving health equity and are relevant for future pandemic planning.

Prior to the introduction of vaccines, COVID-19 hospitalizations of non-institutionalized persons in Connecticut disproportionately affected communities of color and individuals of low socioeconomic status (SES). Whether the magnitude of these disparities changed 7-9 months after vaccine rollout during the Delta wave is not well documented.All initially hospitalized patients with laboratory-confirmed COVID-19 during July-September 2021 were obtained from the Connecticut COVID-19-Associated Hospitalization Surveillance Network database, including patients' geocoded residential addresses. Census tract measures of poverty and crowding were determined by linking geocoded residential addresses to the 2014-2018 American Community Survey. Age-adjusted incidence and relative rates of COVID-19 hospitalization were calculated and compared with those from July to December 2020. Vaccination levels by age and race/ethnicity at the beginning and end of the study period were obtained from Connecticut's COVID vaccine registry, and age-adjusted average values were determined.There were 708 COVID-19 hospitalizations among community residents of the two counties, July-September 2021. Age-adjusted incidence was the highest among non-Hispanic Blacks and Hispanic/Latinx compared with non-Hispanic Whites (RR 4.10 [95% CI 3.41-4.94] and 3.47 [95% CI 2.89-4.16]). Although RR decreased significantly among Hispanic/Latinx and among the lowest SES groups, it increased among non-Hispanic Blacks (from RR 3.2 [95% CI 2.83-3.32] to RR 4.10). Average age-adjusted vaccination rates among those ≥12 years were the lowest among non-Hispanic Blacks compared with Hispanic/Latinx and non-Hispanic Whites (50.6% vs. 64.7% and 66.6%).Although racial/ethnic and SES disparities in COVID-19 hospitalization have mostly decreased over time, disparities among non-Hispanic Blacks increased, possibly due to differences in vaccination rates.

Objectives:To assess Connecticut medical providers’ concordance (2018–2019) with the 2017 Clostridioides difficile infection (CDI) treatment update by the Infectious Disease Society of America (IDSA) and the Society for Healthcare Epidemiology of America (SHEA). The effect of guideline concordance on CDI recurrence risk was also assessed.Design:Prospective, population-based study.Setting:New Haven County, Connecticut, from January 1, 2017, to December 31, 2019.Patients:CDI incident case (no positive tests in the prior 8 weeks), not limited by care setting.Methods:Using data from the Emerging Infections Program’s CDI surveillance, severity and concordance were defined. Presence of megacolon and/or ileus defined fulminant disease; absence defined nonsevere/severe disease. Using 2017 treatment as baseline, 2018–2019 concordance was defined as receiving the recommended first-line antibiotic (ie, vancomycin or fidaxomicin for adult patients, vancomycin or metronidazole for pediatric patients) for exactly 10 days. For all analyses, significance was P < .05.Results:Among 990 cases, concordance increased from 24.8% in 2018 to 37.0% in 2019. First-line antibiotic concordance increased from 61.2% in 2018 to 79.9% in 2019. Recurrence risk was significantly associated with patients aged ≥65 years and was highest for those aged 75–84 years, but this factor was not significantly associated with concordance.Conclusions:From 2018 through 2019, CDI treatment in New Haven County increasingly was concordant with the 2017 treatment update but remained low in 2019. Although concordance with treatment guidelines did not affect recurrence risk, close attention should be paid by medical providers to patients aged ≥65 years, specifically those aged 75–84 years because they are at an increased risk for recurrence.

Context Food-induced anaphylaxis is potentially fatal but preventable by allergen avoidance and manageable through immediate treatment. Considerable effort has been invested in preventing fatalities from nut exposure among school-aged children, but few population-based studies exist to guide additional prevention efforts. Objectives To describe the epidemiology and trends of food-related anaphylaxis requiring emergency treatment during a 15-year span in New York City when public health initiatives to prevent deaths were implemented and to understand the situational circumstances of food-related deaths. Design/setting/participants Retrospective death record review and analysis of inpatient hospital discharges and emergency department (ED) visits in New York City residents, 2000-2014. Main outcome Vital statistics data, medical examiner reports, ED, and hospital discharge data were used to examine risk for death and incidence trends in medically attended food-related anaphylaxis. Potentially preventable deaths were those among persons with a known allergy to the implicated food or occurring in public settings. Results There were 24 deaths, (1.6 deaths/year; range: 0-5), 3049 hospitalizations, and 4014 ED visits, including 7 deaths from crustacean, 4 from peanut, and 2 each from tree nut or seeds and fish exposures. Risk for death among those hospitalized or treated in the ED was highest for persons older than 65 years and for those treated for crustacean reactions (relative risk 6.5 compared with those treated for peanuts, 95% confidence interval = 1.9-22.1). Eleven of 16 deaths with medical examiner data were potentially preventable. Hospitalizations (2000-2014) and ED visit rates (2005-2014) were highest for children and those with peanut exposure and increased across periods. Conclusions Deaths from food-related anaphylaxis were rare; however, rates of hospitalization and ED visits increased. Prevention efforts related to peanut allergies among children should continue, and additional attention is needed to prevent and treat anaphylaxis among adults, particularly those with known crustacean allergies where case fatality is highest.

Background Non-pharmaceutical interventions (NPIs) against Coronavirus Disease 2019 (COVID-19) are vital to reducing the transmission risks. However, the relative efficiency of social distancing against COVID-19 remains controversial, since social distancing and isolation/quarantine were implemented almost at the same time in China. Methods In this study, surveillance data of COVID-19 and seasonal influenza in the year 2018-2020 were used to quantify the relative efficiency of NPIs against COVID-19 in China, since isolation/quarantine was not used for the influenza epidemics. Given that the relative age-dependent susceptibility to influenza and COVID-19 may vary, an age-structured Susceptible-Infected-Recovered model was built to explore the efficiency of social distancing against COVID-19 under different population susceptibility scenarios. Results The mean effective reproductive number, Rt, of COVID-19 before NPIs was 2.12 (95% confidential interval (CI): 2.02-2.21). By March 11, 2020, the overall reduction in Rt of COVID-19 was 66.1% (95% CI: 60.1%-71.2%). In the epidemiological year 2019/20, influenza transmissibility reduced by 34.6% (95% CI: 31.3%-38.2%) compared with that in the epidemiological year 2018/19. Under the observed contact patterns changes in China, social distancing had similar efficiency against COVID-19 in three different scenarios. By assuming same efficiency of social distancing against seasonal influenza and COVID-19 transmission, isolation/quarantine and social distancing could lead to a 48.1% (95% CI: 35.4%-58.1%) and 34.6% (95% CI: 31.3%-38.2%) reduction of the transmissibility of COVID-19. Conclusions Though isolation/quarantine is more effective than social distancing, given that typical basic reproductive number of COVID-19 is 2-3, isolation/quarantine alone could not contain the COVID-19 pandemic effectively in China.

Background The relationships between socioeconomic status and domestically acquired salmonellosis and leading Salmonella serotypes are poorly understood. Methods We analyzed surveillance data from laboratory-confirmed cases of salmonellosis from 2010–2016 for all 10 Foodborne Disease Active Surveillance Network (FoodNet) sites, having a catchment population of 47.9 million. Case residential data were geocoded, linked to census tract poverty level, and then categorized into 4 groups according to census tract poverty level. After excluding those reporting international travel before illness onset, age-specific and age-adjusted salmonellosis incidence rates were calculated for each census tract poverty level, overall and for each of the 10 leading serotypes. Results Of 52 821geocodable Salmonella infections (>96%), 48 111 (91.1%) were domestically acquired. Higher age-adjusted incidence occurred with higher census tract poverty level (P < .001; relative risk for highest [≥20%] vs lowest [ Conclusion Children and older adults living in higher-poverty census tracts have had a higher incidence of domestically acquired salmonellosis. There is a need to understand socioeconomic status differences for risk factors for domestically acquired salmonellosis by age group and FoodNet site to help focus prevention efforts.

Author(s): Wortham, Jonathan M; Meador, Seth A; Hadler, James L; Yousey-Hindes, Kimberly; See, Isaac; Whitaker, Michael; O'Halloran, Alissa; Milucky, Jennifer; Chai, Shua J; Reingold, Arthur; Alden, Nisha B; Kawasaki, Breanna; Anderson, Evan J; Openo, Kyle P; Weigel, Andrew; Monroe, Maya L; Ryan, Patricia A; Kim, Sue; Reeg, Libby; Lynfield, Ruth; McMahon, Melissa; Sosin, Daniel M; Eisenberg, Nancy; Rowe, Adam; Barney, Grant; Bennett, Nancy M; Bushey, Sophrena; Billing, Laurie M; Shiltz, Jess; Sutton, Melissa; West, Nicole; Talbot, H Keipp; Schaffner, William; McCaffrey, Keegan; Spencer, Melanie; Kambhampati, Anita K; Anglin, Onika; Piasecki, Alexandra M; Holstein, Rachel; Hall, Aron J; Fry, Alicia M; Garg, Shikha; Kim, Lindsay | Abstract: ObjectivesSome studies suggested more COVID-19-associated hospitalizations among racial and ethnic minorities. To inform public health practice, the COVID-19-associated Hospitalization Surveillance Network (COVID-NET) quantified associations between race/ethnicity, census tract socioeconomic indicators, and COVID-19-associated hospitalization rates.MethodsUsing data from COVID-NET population-based surveillance reported during March 1-April 30, 2020 along with socioeconomic and denominator data from the US Census Bureau, we calculated COVID-19-associated hospitalization rates by racial/ethnic and census tract-level socioeconomic strata.ResultsAmong 16,000 COVID-19-associated hospitalizations, 34.8% occurred among non-Hispanic White (White) persons, 36.3% among non-Hispanic Black (Black) persons, and 18.2% among Hispanic or Latino (Hispanic) persons. Age-adjusted COVID-19-associated hospitalization rate were 151.6 (95% Confidence Interval (CI): 147.1-156.1) in census tracts with g15.2%-83.2% of persons living below the federal poverty level (high-poverty census tracts) and 75.5 (95% CI: 72.9-78.1) in census tracts with 0%-4.9% of persons living below the federal poverty level (low-poverty census tracts). Among White, Black, and Hispanic persons living in high-poverty census tracts, age-adjusted hospitalization rates were 120.3 (95% CI: 112.3-128.2), 252.2 (95% CI: 241.4-263.0), and 341.1 (95% CI: 317.3-365.0), respectively, compared with 58.2 (95% CI: 55.4-61.1), 304.0 (95%: 282.4-325.6), and 540.3 (95% CI: 477.0-603.6), respectively, in low-poverty census tracts.ConclusionsOverall, COVID-19-associated hospitalization rates were highest in high-poverty census tracts, but rates among Black and Hispanic persons were high regardless of poverty level. Public health practitioners must ensure mitigation measures and vaccination campaigns address needs of racial/ethnic minority groups and people living in high-poverty census tracts.

Background Multiple chronic health conditions have been associated with exposure to the September 11, 2001 World Trade Center (WTC) terrorist attacks (9/11). We assessed whether excess deaths occurred during 2003–2014 among persons directly exposed to 9/11, and examined associations of 9/11-related exposures with mortality risk. Materials and methods Deaths occurring in 2003–2014 among members of the World Trade Center Health Registry, a cohort of rescue/recovery workers and lower Manhattan community members who were exposed to 9/11, were identified via linkage to the National Death Index. Participants’ overall levels of 9/11-related exposure were categorized as high, intermediate, or low. We calculated standardized mortality ratios (SMR) using New York City reference rates from 2003 to 2012. Proportional hazards were used to assess associations of 9/11-related exposures with mortality, accounting for age, sex, race/ethnicity and other potential confounders. Results We identified 877 deaths among 29,280 rescue/recovery workers (3.0%) and 1694 deaths among 39,643 community members (4.3%) during 308,340 and 416,448 person-years of observation, respectively. The SMR for all causes of death was 0.69 [95% confidence interval (CI) 0.65–0.74] for rescue/recovery workers and 0.86 (95% CI 0.82–0.90) for community members. SMRs for diseases of the cardiovascular and respiratory systems were significantly lower than expected in both groups. SMRs for several other causes of death were significantly elevated, including suicide among rescue recovery workers (SMR 1.82, 95% CI 1.35–2.39), and brain malignancies (SMR 2.25, 95% CI 1.48–3.28) and non-Hodgkin's lymphoma (SMR 1.79, 95% CI 1.24–2.50) among community members. Compared to low exposure, both intermediate [adjusted hazard ratio (AHR) 1.36, 95% CI 1.10–1.67] and high (AHR 1.41, 95% CI 1.06–1.88) levels of 9/11-related exposure were significantly associated with all-cause mortality among rescue/recovery workers (p-value for trend 0.01). For community members, intermediate (AHR 1.13, 95% CI 1.01–1.27), but not high (AHR 1.14, 95% CI 0.94–1.39) exposure was significantly associated with all-cause mortality (p-value for trend 0.03). AHRs for associations of overall 9/11-related exposure with heart disease- and cancer-related mortality were similar in magnitude to those for all-cause mortality, but with 95% CIs crossing the null value. Conclusions Overall mortality was not elevated. Among specific causes of death that were significantly elevated, suicide among rescue/recovery workers is a plausible long-term consequence of 9/11 exposure, and is potentially preventable. Elevated mortality due to other causes, including non-Hodgkin's lymphoma and brain cancer, and small but statistically significant associations of 9/11-related exposures with all-cause mortality hazard warrant additional surveillance.

Matching infectious disease surveillance data has become a routine activity for many health departments. With the increasing focus on chronic disease, it is also useful to explore opportunities to match infectious and chronic disease surveillance data. To understand the burden of diabetes in New York City (NYC), adults with select infectious diseases (tuberculosis, HIV infection, hepatitis B, hepatitis C, chlamydial infection, gonorrhea, and syphilis) reported between 2006 and 2010 were matched with hemoglobin A1c results reported in the same period. Persons were considered to have diabetes with 2 or more hemoglobin A1c test results of 6.5% or higher. The analysis was restricted to persons who were 18 years or older at the time of first report, either A1c or infectious disease. Overall age-adjusted diabetes prevalence was 8.1%, and diabetes prevalence was associated with increasing age; among NYC residents, prevalence ranged from 0.6% among 18- to 29-year-olds to 22.4% among those 65 years and older. This association was also observed in each infectious disease. Diabetes prevalence was significantly higher among persons with tuberculosis born in Mexico, Jamaica, Honduras, Guyana, Bangladesh, Dominican Republic, the Philippines, and Haiti compared with those born in the United States after adjusting for age and sex. Hepatitis C virus-infected women had higher age-adjusted prevalence of diabetes compared with the NYC population as a whole. Recognizing associations between diabetes and infectious diseases can assist early diagnosis and management of these conditions. Matching chronic disease and infectious disease surveillance data has important implications for local health departments and large health system practices, including increasing opportunities for integrated work both internal to systems and with the local community. Large health systems may consider opportunities for increased collaboration across infectious and chronic disease programs facilitated through data linkages of routinely collected surveillance data.

Introduction Previous FluSurv-NET studies found that adult females had a higher incidence of influenza-associated hospitalizations than males. To identify groups of women at higher risk than men, we analyzed data from 14 FluSurv-NET sites that conducted population-based surveillance for laboratory-confirmed influenza-associated hospitalizations among residents of 78 US counties. Methods We analyzed 6292 laboratory-confirmed, geocodable (96%) adult cases collected by FluSurv-NET during the 2010-12 influenza seasons. We used 2010 US Census and 2008-2012 American Community Survey data to calculate overall age-adjusted and age group-specific female:male incidence rate ratios (IRR) by race/ethnicity and census tract-level poverty. We used national 2010 pregnancy rates to estimate denominators for pregnant women aged 18-49. We calculated male:female IRRs excluding them and IRRs for pregnant:non-pregnant women. Results Overall, 55% of laboratory-confirmed influenza cases were female. Female:male IRRs were highest for females aged 18-49 of high neighborhood poverty (IRR 1.50, 95% CI 1.30-1.74) and of Hispanic ethnicity (IRR 1.70, 95% CI 1.34-2.17). These differences disappeared after excluding pregnant women. Overall, 26% of 1083 hospitalized females aged 18-49 were pregnant. Pregnant adult females were more likely to have influenza-associated hospitalizations than their non-pregnant counterparts (relative risk [RR] 5.86, 95% CI 5.12-6.71), but vaccination levels were similar (25.5% vs 27.8%). Conclusions Overall rates of influenza-associated hospitalization were not significantly different for men and women after excluding pregnant women. Among women aged 18-49, pregnancy increased the risk of influenza-associated hospitalization sixfold but did not increase the likelihood of vaccination. Improving vaccination rates in pregnant women should be an influenza vaccination priority.

In response to an outbreak of disease of public health importance, a city, county, or state health department can request field epidemiologic assistance from the next higher level public health agency. In the United States, the highest level public health agency is the Centers for Disease Control and Prevention. To ensure smooth communications, planning, and execution of an epidemiologic field investigation, as well as to maintain good relationships from the initiation of the investigation to the final report, several operational aspects should be addressed. Key elements of operationalizing an epidemiologic field investigation include the following: 1) initial request and communications between inviters and invitees and a formal invitation for assistance from an authorized official; 2) clarification of the investigation’s main objectives and roles and responsibilities of those involved; 3) preparation of the field team for departure; 4) initial in-person meeting of the field team with local health officials and collaborators to review and update the situation, review local resources and primary points of contact, and identify a local public information officer; 5) management of field team activities with lists of necessary tasks for team members and frequent communications within the team, between team leader and senior supervisor, and between team and local officials; 6) in-person debriefing meeting with preliminary findings and recommendations by field team before departure; and 7) drafting of the final report with full findings and recommendations. Field investigations will proceed more smoothly and productively if both inviters and invitees adequately address key operational aspects before, during, and after the investigation.

Background Cancer incidence in exposed rescue/recovery workers (RRWs) and civilians (non-RRWs) was previously reported through 2008. Methods We studied occurrence of first primary cancer among World Trade Center Health Registry enrollees through 2011 using adjusted standardized incidence ratios (SIRs), and the WTC-exposure-cancer association, using Cox proportional hazards models. Results All-cancer SIR was 1.11 (95% confidence interval (CI) 1.03–1.20) in RRWs, and 1.08 (95% CI 1.02–1.15) in non-RRWs. Prostate cancer and skin melanoma were significantly elevated in both populations. Thyroid cancer was significantly elevated only in RRWs while breast cancer and non-Hodgkin's lymphoma were significantly elevated only in non-RRWs. There was a significant exposure dose-response for bladder cancer among RRWs, and for skin melanoma among non-RRWs. Conclusions We observed excesses of total and specific cancers in both populations, although the strength of the evidence for causal relationships to WTC exposures is somewhat limited. Continued monitoring of this population is indicated. Am. J. Ind. Med. 59:709–721, 2016. © 2016 Wiley Periodicals, Inc.

Objectives. To assess potential reductions in premature mortality that could have been achieved in 2008 to 2012 if the minimum wage had been $15 per hour in New York City. Methods. Using the 2008 to 2012 American Community Survey, we performed simulations to assess how the proportion of low-income residents in each neighborhood might change with a hypothetical $15 minimum wage under alternative assumptions of labor market dynamics. We developed an ecological model of premature death to determine the differences between the levels of premature mortality as predicted by the actual proportions of low-income residents in 2008 to 2012 and the levels predicted by the proportions of low-income residents under a hypothetical $15 minimum wage. Results. A $15 minimum wage could have averted 2800 to 5500 premature deaths between 2008 and 2012 in New York City, representing 4% to 8% of total premature deaths in that period. Most of these avertable deaths would be realized in lower-income communities, in which residents are predominantly people of color. Conclusions. A higher minimum wage may have substantial positive effects on health and should be considered as an instrument to address health disparities.

Residing in a high-poverty area has consistently been associated with higher mortality rates, but the association between poverty and mortality can change over time. We examine the association between neighborhood poverty and mortality in New York City (NYC) during 1990-2010 to document mortality disparity changes over time and determine causes of death for which disparities are greatest. We used NYC and New York state mortality data for years 1990, 2000, and 2010 to calculate all-cause and cause-specific age-adjusted death rates (AADRs) by census tract poverty (CTP), which is the proportion of persons in a census tract living below the federal poverty threshold. We calculated mortality disparities, measured as the difference in AADR between the lowest and highest CTP groups, within and across race/ethnicity, nativity, and sex categories by year. We observed higher all-cause AADRs with higher CTP for each year for all race/ethnicities, both sexes, and US-born persons. Mortality disparities decreased progressively during 1990-2010 for the NYC population overall, for each race/ethnic group, and for the majority of causes of death. The overall mortality disparity between the highest and lowest CTP groups during 2010 was 2.55 deaths/1000 population. The largest contributors to mortality disparities were heart disease (51.52 deaths/100,000 population), human immunodeficiency virus (19.96/100,000 population), and diabetes (19.59/100,000 population). We show that progress was made in narrowing socioeconomic disparities in mortality during 1990-2010, but substantial disparities remain. Future efforts toward achieving health equity in NYC mortality should focus on areas contributing most to disparities.

Annual influenza vaccine is recommended for all persons aged ≥6 months in the United States, with recognition that some persons are at risk for more severe disease (1). However, there might be previously unrecognized demographic groups that also experience higher rates of serious influenza-related disease that could benefit from enhanced vaccination efforts. Socioeconomic status (SES) measures that are area-based can be used to define demographic groups when individual SES data are not available (2). Previous surveillance data analyses in limited geographic areas indicated that influenza-related hospitalization incidence was higher for persons residing in census tracts that included a higher percentage of persons living below the federal poverty level (3-5). To determine whether this association occurs elsewhere, influenza hospitalization data collected in 14 FluSurv-NET sites covering 27 million persons during the 2010-11 and 2011-12 influenza seasons were analyzed. The age-adjusted incidence of influenza-related hospitalizations per 100,000 person-years in high poverty (≥20% of persons living below the federal poverty level) census tracts was 21.5 (95% confidence interval [CI]: 20.7-22.4), nearly twice the incidence in low poverty (

Despite increased funding and efforts to prevent and control HIV infections in the black and Hispanic communities, racial disparities persist in the USA. We used a mathematical model to explain the phenomena. A mathematical model was constructed to project HIV prevalence ratio (PR), incidence rate ratio (IRR), and HIV-specific mortality rate ratio (MRR) among blacks and Hispanics vs. whites in two scenarios: (1) an annual reduction in HIV incidence rate at the 2007–2010 level and (2) an annual reduction in HIV incidence rate at the 2007–2010 level among whites (4.2 %) and twice that of whites among blacks and Hispanics (8.4 %). In scenario no. 1, the PR, IRR, and MRR among blacks would decrease from 7.6 to 5.8, 7.9 to 5.9, and 11.3 to 5.3 and among Hispanics from 2.8 to 1.8, 3.1 to 1.9, and 2.3 to 1.0, respectively. In scenario no. 2, the PR, IRR, and MRR among blacks would decrease from 7.6 to 5.1, 7.9 to 2.5, and 11.3 to 4.7 and among Hispanics from 2.8 to 1.6, 3.1 to 0.8, and 2.3 to 0.9, respectively. Much of the persistent racial disparities in HIV infection in the USA, as measured by PR, IRR, and MRR, can be explained by higher HIV prevalence among blacks and Hispanics. The public health community should continue its efforts to reduce racial disparities, but also need to set realistic goals and measure progress with sensitive indicators.

Background Treatment guidelines for Clostridioides difficile infection (CDI) were updated by the Infectious Disease Society of America (IDSA) and the Society for Healthcare Epidemiology of America (SHEA) in 2017, notably for disease severity and antibiotic recommendations. Our objectives were to assess Connecticut medical providers’ concordance (2017-2019) with the 2017 update. The effect of guideline concordance on the risk of CDI recurrence was also assessed. Methods Using data from the Connecticut Emerging Infections Program’s CDI surveillance in New Haven County, severity and concordance were defined. For severity, white blood cell count and presence of megacolon and/or ileus were used. Concordant treatment was defined as receiving the recommended first-line antibiotic (vancomycin for adult patients, vancomycin or metronidazole for pediatric patients) for exactly 10 days. In univariate & multivariate analyses, significance was determined by a p-value of < 0.05. Results Of 1,216 cases, concordance increased from 10.0% in 2017 to 36.9% in 2019. Concordance with first-line antibiotic increased from 40.2% in 2017 to 80.8% in 2019. Concordance was highest for fulminant cases (62.2%). The recurrence rate was 11.2% and highest for non-severe cases and older cases but was not significantly associated with concordance. Concordance with selected treatment criteria by year, 2017-2019 Conclusion From 2017 through 2019, CDI treatment in New Haven County increasingly was concordant with the updated 2017 IDSA/SHEA guidelines, but still low overall in 2019. Although concordance with treatment did not affect recurrence risk, close attention should be paid by medical providers to non-severe cases and older cases as they are at an increased risk for recurrence. Disclosures All Authors: No reported disclosures

Background The relationship between socioeconomic status and Shiga toxin–producing Escherichia coli (STEC) is not well understood. However, recent studies in Connecticut and New York City found that as census tract poverty (CTP) decreased, rates of STEC increased. To explore this nationally, we analyzed surveillance data from laboratory-confirmed cases of STEC from 2010–2014 for all Foodborne Disease Active Surveillance Network (FoodNet) sites, population 47.9 million. Methods Case residential data were geocoded and linked to CTP level (2010–2014 American Community Survey). Relative rates were calculated comparing incidence in census tracts with Results There were 5234 cases of STEC; 26.3% were hospitalized, and 5.9% had HUS. Five-year incidence was 10.9/100 000 population. Relative STEC rates for the 1.0 for each age group, FoodNet site, surveillance year, and race/ethnic group except Asian. Relative hospitalization and HUS rates tended to be higher than their respective STEC relative rates. Conclusions Persons living in lower CTP were at higher risk of STEC than those in the highest poverty census tracts. This is unlikely to be due to health care–seeking or diagnostic bias as it applies to analysis limited to hospitalized and HUS cases. Research is needed to better understand exposure differences between people living in the lower vs highest poverty-level census tracts to help direct prevention efforts.

Diseases were associated with socioeconomic status and age of patients and with serotype of organism., Foodborne pathogens cause >9 million illnesses annually. Food safety efforts address the entire food chain, but an essential strategy for preventing foodborne disease is educating consumers and food preparers. To better understand the epidemiology of foodborne disease and to direct prevention efforts, we examined incidence of Salmonella infection, Shiga toxin–producing Escherichia coli infection, and hemolytic uremic syndrome by census tract–level socioeconomic status (SES) in the Connecticut Foodborne Diseases Active Surveillance Network site for 2000–2011. Addresses of case-patients were geocoded to census tracts and linked to census tract–level SES data. Higher census tract–level SES was associated with Shiga toxin–producing Escherichia coli, regardless of serotype; hemolytic uremic syndrome; salmonellosis in persons ≥5 years of age; and some Salmonella serotypes. A reverse association was found for salmonellosis in children

Accomplishments of this program have provided numerous dividends and might benefit areas outside infectious diseases.

Objectives. We described disparities in selected communicable disease incidence across area-based poverty levels in New York City, an area with more than 8 million residents and pronounced household income inequality. Methods. We geocoded and categorized cases of 53 communicable diseases diagnosed during 2006 to 2013 by census tract-based poverty level. Age-standardized incidence rate ratios (IRRs) were calculated for areas with 30% or more versus fewer than 10% of residents below the federal poverty threshold. Results. Diseases associated with high poverty included rickettsialpox (IRR = 3.69; 95% confidence interval [CI] = 2.29, 5.95), chronic hepatitis C (IRR for new reports = 3.58; 95% CI = 3.50, 3.66), and malaria (IRR = 3.48; 95% CI = 2.97, 4.08). Diseases associated with low poverty included domestic tick-borne diseases acquired through travel to areas where infected vectors are prevalent, such as human granulocytic anaplasmosis (IRR = 0.08; 95% CI = 0.03, 0.19) and Lyme disease (IRR = 0.34; 95% CI = 0.32, 0.36). Conclusions. Residents of high poverty areas were disproportionately affected by certain communicable diseases that are amenable to public health interventions. Future work should clarify subgroups at highest risk, identify reasons for the observed associations, and use findings to support programs to minimize disparities.

This network has enriched research and workforce training and produced a synergy between state and federal levels., The Emerging Infections Program (EIP) is a collaboration between the Centers for Disease Control and Prevention and 10 state health departments working with academic partners to conduct active population-based surveillance and special studies for several emerging infectious disease issues determined to need special attention. The Centers for Disease Control and Prevention funds the 10 EIP sites through cooperative agreements. Our objective was to highlight 1) what being an EIP site has meant for participating health departments and associated academic centers, including accomplishments and challenges, and 2) the synergy between the state and federal levels that has resulted from the collaborative relationship. Sharing these experiences should provide constructive insight to other public health programs and other countries contemplating a collaborative federal–local approach to collective public health challenges.

Before 1999, the United States had no appropriated funding for arboviral surveillance, and many states conducted no such surveillance. After emergence of West Nile virus (WNV), federal funding was distributed to state and selected local health departments to build WNV surveillance systems. The Council of State and Territorial Epidemiologists conducted assessments of surveillance capacity of resulting systems in 2004 and in 2012; the assessment in 2012 was conducted after a 61% decrease in federal funding. In 2004, nearly all states and assessed local health departments had well-developed animal, mosquito, and human surveillance systems to monitor WNV activity and anticipate outbreaks. In 2012, many health departments had decreased mosquito surveillance and laboratory testing capacity and had no systematic disease-based surveillance for other arboviruses. Arboviral surveillance in many states might no longer be sufficient to rapidly detect and provide information needed to fully respond to WNV outbreaks and other arboviral threats (e.g., dengue, chikungunya).

Background Trends in human papillomavirus (HPV)-associated cervical lesions can provide an indication of vaccine impact. Our purpose was to measure trends in cervical lesions during 2008-2015 and to consider possible explanations including vaccination coverage, changes in screening for cervical cancer, and risk behaviors for acquiring HPV. Methods Connecticut (CT) implemented mandatory reporting of cervical intraepithelial neoplasia grades 2/3 and adenocarcinoma in situ (cervical intraepithelial neoplasia grade 2 or higher [CIN2+]) in 2008. Trends by age and birth cohort were modeled using negative binomial regression and change-point methods. To evaluate possible explanations for changes, these trends were compared to changes in HPV vaccination coverage, cervical cancer screening, an antecedent event to detection of a high-grade lesion, and changes in sexual behaviors and Chlamydia trachomatis, an infection with similar epidemiology to and shared risk factors for HPV. Results A significant decline in CIN2+ was first evident among women aged 21 years in 2010, followed by successive declines in women aged 22-26 years during 2011-2012. During 2008-2015, the rates of CIN2+ declined by 30%-74% among women aged 21-26 years, with greater declines observed in the younger women. Birth cohorts between 1985 and 1994 all experienced significant declines during the surveillance period, ranging from 25% to 82%. Ecological comparisons revealed substantial increases in HPV vaccination during this time period, and more modest reductions in cervical cancer screening and sexual risk behaviors. Conclusions The age and cohort patterns in our data suggest that declines in CIN2+ during 2008-2015 are more likely driven by HPV vaccination, introduced in 2006, than by changes in screening or risk behavior.

Objectives. We sought to better understand acts of self-harm among inmates in correctional institutions. Methods. We analyzed data from medical records on 244 699 incarcerations in the New York City jail system from January 1, 2010, through January 31, 2013. Results. In 1303 (0.05%) of these incarcerations, 2182 acts of self-harm were committed, (103 potentially fatal and 7 fatal). Although only 7.3% of admissions included any solitary confinement, 53.3% of acts of self-harm and 45.0% of acts of potentially fatal self-harm occurred within this group. After we controlled for gender, age, race/ethnicity, serious mental illness, and length of stay, we found self-harm to be associated significantly with being in solitary confinement at least once, serious mental illness, being aged 18 years or younger, and being Latino or White, regardless of gender. Conclusions. These self-harm predictors are consistent with our clinical impressions as jail health service managers. Because of this concern, the New York City jail system has modified its practices to direct inmates with mental illness who violate jail rules to more clinical settings and eliminate solitary confinement for those with serious mental illness.

Objectives To help guide universal influenza vaccination efforts in the United States, it is important to know which demographic groups are currently at highest risk of costly complications of influenza infection. Few studies have examined the relationship between hospitalization with influenza and either socioeconomic status (SES) or sex. We examined associations between census tract-level SES and sex and incidence of influenza-related hospitalizations among adults. Design Descriptive analysis of data collected by active population-based surveillance for persons >18 years old hospitalized with laboratory confirmed influenza during the 2007–2008 through 2010–2011 influenza seasons. Case residential addresses were geocoded and linked to data from the 2006–2010 American Community Survey to obtain census-tract level (neighborhood) SES measures. Census-tract level SES variables included measures of poverty, education, crowding, primary language, and median income. Four levels were created for each. Setting New Haven, County, Connecticut. Sample Entire New Haven County population >18 years old. Main Outcome Measures Age-adjusted incidence of influenza hospitalizations and relative risk by sex and by each of five SES measures. Results Crude and age-adjusted incidence progressively increased with decreasing neighborhood SES for each measure both overall and for each influenza season. Female incidence was higher than male for each age group, and female age-adjusted incidence was higher for each SES level and influenza season. Conclusions Female sex and lower neighborhood SES were independently and consistently associated with higher incidence of hospitalization of adults with influenza. If this is more broadly the case, these findings have implications for future influenza vaccination efforts. Analysis using census tract SES measures can provide additional perspective on health disparities.

Objectives. We examined socioeconomic status (SES) disparities and the influence of state Immunization Action Plan–funded vaccination coordinators located in low-SES areas of Connecticut on childhood vaccination up-to-date (UTD) status at age 24 months. Methods. We examined predictors of underimmunization among the 2006 birth cohort (n = 34 568) in the state’s Immunization Information System, including individual demographic and SES data, census tract SES data, and residence in an area with a vaccination coordinator. We conducted multilevel logistic regression analyses. Results. Overall, 81% of children were UTD. Differences by race/ethnicity and census tract SES were typically under 5%. Not being UTD at age 7 months was the strongest predictor of underimmunization at age 24 months. Among children who were not UTD at age 7 months, only Medicaid enrollment (adjusted odds ratio [AOR] = 0.6; 95% confidence interval [CI] = 0.5, 0.7) and residence in an area with a vaccination coordinator (AOR = 0.7; 95% CI = 0.6, 0.9) significantly decreased the odds of subsequent underimmunization. Conclusions. SES disparities associated with underimmunization at age 24 months were limited. Efforts focused on vaccinating infants born in low SES circumstances can minimize disparities.

Vaccines that prevent infection with human papillomavirus (HPV) types 16 and 18 that are known to cause cervical cancer have been available in the United States since 2006. High-grade cervical lesions are important for monitoring early vaccine impact because they are strong surrogates for cancer yet can develop within years after infection as opposed to decades. Trends in high-grade cervical lesions including cervical intraepithelial neoplasia grades 2, 2/3, and 3 and adenocarcinoma in situ among women ages 21 to 39 years old were examined using a statewide surveillance registry in Connecticut from 2008 to 2011. During this time period, HPV vaccine initiation increased among adolescent females from 45% to 61%. Analyses were stratified by age, according to census tract measures of proportion of population Black, Hispanic, living in poverty, and by urban/nonurban counties. The annual rate per 100,000 females ages 21 to 24 years declined from 834 in 2008 to 688 in 2011 (Ptrend < 0.001). No significant declines were observed among women ages 25 to 39 years. Significant declining trends also occurred in census tracts with lower proportions of the population being Black, Hispanic, or living below the federal poverty level. Declines in high-grade cervical lesions have occurred among young women during 2008 to 2011. This is the first report of declines in cervical neoplasia in the United States since HPV vaccines became available. Continued surveillance is needed to measure vaccine impact and monitor health disparities. Cancer Epidemiol Biomarkers Prev; 22(8); 1446–50. ©2013 AACR.

Rapid changes to the United States public health system challenge the current strategic approach to surveillance. During 2011, the Council of State and Territorial Epidemiologists convened national experts to reassess public health surveillance in the United States and update surveillance strategies that were published in a 1996 report and endorsed by the Council of State and Territorial Epidemiologists. Although surveillance goals, historical influences, and most methods have not changed, surveillance is being transformed by 3 influences: public health information and preparedness as national security issues; new information technologies; and health care reform. Each offers opportunities for surveillance, but each also presents challenges that public health epidemiologists can best meet by rigorously applying surveillance evaluation concepts, engaging in national standardization activities driven by electronic technologies and health care reform, and ensuring an adequately trained epidemiology workforce.

Objectives. We assessed telephone surveys as a novel surveillance method, comparing data obtained by telephone with existing national influenza surveillance systems, and evaluated the utility of telephone surveys. Methods. We used the 2007 Behavioral Risk Factor Surveillance System (BRFSS) and the 2007 National Immunization Survey–Adult (NIS–Adult) to estimate the incidence of influenza-like illness (ILI), medically attended ILI, provider-diagnosed influenza, influenza testing, and treatment of influenza with antiviral medications during the 2006–2007 influenza season. Results. With the January–May BRFSS, among persons aged 18 years and older, the cumulative incidence of seasonal ILI and provider-diagnosed influenza was 37.9 and 5.7 adults per 100 persons, respectively. Monthly medically attended ILI and provider-diagnosed influenza among adults were temporally associated with influenza activity, as documented by national surveillance. With the NIS–Adult survey data, estimated provider-diagnosed influenza, influenza testing, and antiviral treatment were 2.8%, 1.4%, and 0.6%, respectively. Conclusions. Our telephone interview–based estimates of influenza morbidity were consistent with those from national influenza surveillance systems. Telephone surveys may provide an alternative method by which population-based influenza morbidity information can be gathered.

Objectives. We examined associations of geographic measures of poverty, race, ethnicity, and city status with rates of cervical intraepithelial neoplasia grade 2 or higher and adenocarcinoma in situ (CIN2+/AIS), known precursors to cervical cancer. Methods. We identified 3937 cases of CIN2+/AIS among women aged 20 to 39 years in statewide surveillance data from Connecticut for 2008 to 2009. We geocoded cases to census tracts and used census data to calculate overall and age-specific rates. Poisson regression determined whether rates differed by geographic measures. Results. The average annual rate of CIN2+/AIS was 417.6 per 100 000 women. Overall, higher rates of CIN2+/AIS were associated with higher levels of poverty and higher proportions of Black residents. Poverty was the strongest and most consistently associated measure. However, among women aged 20 to 24 years, we observed inverse associations between poverty and CIN2+/AIS rates. Conclusions. Disparities in cervical cancer precursors exist for poverty and race, but these effects are age dependent. This information is necessary to monitor human papillomavirus vaccine impact and target vaccination strategies.

Cancer incidence in exposed rescue/recovery workers (RRWs) and civilians (non-RRWs) was previously reported through 2008.We studied occurrence of first primary cancer among World Trade Center Health Registry enrollees through 2011 using adjusted standardized incidence ratios (SIRs), and the WTC-exposure-cancer association, using Cox proportional hazards models.All-cancer SIR was 1.11 (95% confidence interval (CI) 1.03-1.20) in RRWs, and 1.08 (95% CI 1.02-1.15) in non-RRWs. Prostate cancer and skin melanoma were significantly elevated in both populations. Thyroid cancer was significantly elevated only in RRWs while breast cancer and non-Hodgkin's lymphoma were significantly elevated only in non-RRWs. There was a significant exposure dose-response for bladder cancer among RRWs, and for skin melanoma among non-RRWs.We observed excesses of total and specific cancers in both populations, although the strength of the evidence for causal relationships to WTC exposures is somewhat limited. Continued monitoring of this population is indicated. Am. J. Ind. Med. 59:709-721, 2016. © 2016 Wiley Periodicals, Inc.