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      Social determinants of influenza hospitalization in the United States

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          Abstract

          Background

          Influenza hospitalizations result in substantial morbidity and mortality each year. Little is known about the association between influenza hospitalization and census tract‐based socioeconomic determinants beyond the effect of individual factors.

          Objective

          To evaluate whether census tract‐based determinants such as poverty and household crowding would contribute significantly to the risk of influenza hospitalization above and beyond individual‐level determinants.

          Methods

          We analyzed 33 515 laboratory‐confirmed influenza‐associated hospitalizations that occurred during the 2009‐2010 through 2013‐2014 influenza seasons using a population‐based surveillance system at 14 sites across the United States.

          Results

          Using a multilevel regression model, we found that individual factors were associated with influenza hospitalization with the highest adjusted odds ratio ( AOR) of 9.20 (95% CI 8.72‐9.70) for those ≥65 vs 5‐17 years old. African Americans had an AOR of 1.67 (95% CI 1.60‐1.73) compared to Whites, and Hispanics had an AOR of 1.21 (95% CI 1.16‐1.26) compared to non‐Hispanics. Among census tract‐based determinants, those living in a tract with ≥20% vs <5% of persons living below poverty had an AOR of 1.31 (95% CI 1.16‐1.47), those living in a tract with ≥5% vs <5% of persons living in crowded conditions had an AOR of 1.17 (95% CI 1.11‐1.23), and those living in a tract with ≥40% vs <5% female heads of household had an AOR of 1.32 (95% CI 1.25‐1.40).

          Conclusion

          Census tract‐based determinants account for 11% of the variability in influenza hospitalization.

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          Most cited references28

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          Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter?: the Public Health Disparities Geocoding Project.

          N Krieger (2002)
          Despite the promise of geocoding and use of area-based socioeconomic measures to overcome the paucity of socioeconomic data in US public health surveillance systems, no consensus exists as to which measures should be used or at which level of geography. The authors generated diverse single-variable and composite area-based socioeconomic measures at the census tract, block group, and zip code level for Massachusetts (1990 population: 6,016,425) and Rhode Island (1990 population: 1,003,464) to investigate their associations with mortality rates (1989-1991: 156,366 resident deaths in Massachusetts and 27,291 in Rhode Island) and incidence of primary invasive cancer (1988-1992: 140,610 resident cases in Massachusetts; 1989-1992: 19,808 resident cases in Rhode Island). Analyses of all-cause and cause-specific mortality rates and all-cause and site-specific cancer incidence rates indicated that: 1) block group and tract socioeconomic measures performed comparably within and across both states, but zip code measures for several outcomes detected no gradients or gradients contrary to those observed with tract and block group measures; 2) similar gradients were detected with categories generated by quintiles and by a priori categorical cutpoints; and 3) measures including data on economic poverty were most robust and detected gradients that were unobserved using measures of only education and wealth.
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            Estimates of deaths associated with seasonal influenza --- United States, 1976-2007.

            David Shay (2010)
            Influenza infections are associated with thousands of deaths every year in the United States, with the majority of deaths from seasonal influenza occurring among adults aged >or=65 years. For several decades, CDC has made annual estimates of influenza-associated deaths, which have been used in influenza research and to develop influenza control and prevention policy. To update previously published estimates of the numbers and rates of influenza-associated deaths during 1976-2003 by adding four influenza seasons through 2006-07, CDC used statistical models with data from death certificate reports. National mortality data for two categories of underlying cause of death codes, pneumonia and influenza causes and respiratory and circulatory causes, were used in regression models to estimate lower and upper bounds for the number of influenza-associated deaths. Estimates by seasonal influenza virus type and subtype were examined to determine any association between virus type and subtype and the number of deaths in a season. This report summarizes the results of these analyses, which found that, during 1976-2007, estimates of annual influenza-associated deaths from respiratory and circulatory causes (including pneumonia and influenza causes) ranged from 3,349 in 1986-87 to 48,614 in 2003-04. The annual rate of influenza-associated death in the United States overall during this period ranged from 1.4 to 16.7 deaths per 100,000 persons. The findings also indicated the wide variation in the estimated number of deaths from season to season was closely related to the particular influenza virus types and subtypes in circulation.
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              Race/ethnicity, gender, and monitoring socioeconomic gradients in health: a comparison of area-based socioeconomic measures--the public health disparities geocoding project.

              Use of multilevel frameworks and area-based socioeconomic measures (ABSMs) for public health monitoring can potentially overcome the absence of socioeconomic data in most US public health surveillance systems. To assess whether ABSMs can meaningfully be used for diverse race/ethnicity-gender groups, we geocoded and linked public health surveillance data from Massachusetts and Rhode Island to 1990 block group, tract, and zip code ABSMs. Outcomes comprised death, birth, cancer incidence, tuberculosis, sexually transmitted infections, childhood lead poisoning, and nonfatal weapons-related injuries. Among White, Black, and Hispanic women and men, measures of economic deprivation (e.g., percentage below poverty) were most sensitive to expected socioeconomic gradients in health, with the most consistent results and maximal geocoding linkage evident for tract-level analyses.
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                Author and article information

                Contributors
                Rameela.chandrasekhar@vanderbilt.edu
                Journal
                Influenza Other Respir Viruses
                Influenza Other Respir Viruses
                10.1111/(ISSN)1750-2659
                IRV
                Influenza and Other Respiratory Viruses
                John Wiley and Sons Inc. (Hoboken )
                1750-2640
                1750-2659
                06 October 2017
                November 2017
                : 11
                : 6 ( doiID: 10.1111/irv.2017.11.issue-6 )
                : 479-488
                Affiliations
                [ 1 ] Vanderbilt University School of Medicine Nashville TN USA
                [ 2 ] Brigham Young University Provo UT USA
                [ 3 ] Colorado Department of Public Health and Environment Denver CO USA
                [ 4 ] Oregon Department of Public Health Portland OR USA
                [ 5 ] University of Rochester School of Medicine and Dentistry Rochester NY USA
                [ 6 ] California Emerging Infections Program Oakland CA USA
                [ 7 ] Salt Lake County Health Department Salt Lake City CO USA
                [ 8 ] Georgia Emerging Infections Program Atlanta VAMC Emory University Atlanta GA USA
                [ 9 ] Minnesota Department of Health St. Paul MN USA
                [ 10 ] Connecticut Emerging Infections Program Yale School of Public Health New Haven CT USA
                [ 11 ] New Mexico Department of Health Santa Fe NM USA
                [ 12 ] New York State Department of Health Albany NY USA
                [ 13 ] Ohio Department of Health Columbus OH USA
                [ 14 ] Council of State and Territorial Epidemiologists Atlanta GA USA
                [ 15 ] Maryland Department of Health and Mental Hygiene Baltimore MD USA
                [ 16 ] Michigan Department of Health and Human Services Lansing MI USA
                [ 17 ] Influenza Division CDC Atlanta GA USA
                Author notes
                [*] [* ] Correspondence

                Rameela Chandrasekhar, Vanderbilt University School of Medicine, Nashville, TN, USA.

                Email: Rameela.chandrasekhar@ 123456vanderbilt.edu

                Author information
                http://orcid.org/0000-0002-1230-1068
                Article
                IRV12483
                10.1111/irv.12483
                5720587
                28872776
                d343986f-e7d9-4aad-a89a-175102488eda
                © 2017 The Authors. Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 August 2017
                Page count
                Figures: 5, Tables: 3, Pages: 10, Words: 6181
                Funding
                Funded by: CDC EIP Cooperative Agreement with Tennessee
                Award ID: U50CK000198
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                irv12483
                November 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.2.8 mode:remove_FC converted:12.12.2017

                Infectious disease & Microbiology
                census tract‐based determinants,disparities,geocoding,influenza hospitalization,multilevel modeling,socioeconomic determinants

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