IDEAS home Printed from https://ideas.repec.org/a/spr/ijphth/v56y2011i1p15-24.html
   My bibliography  Save this article

Toxocara infection in the United States: the relevance of poverty, geography and demography as risk factors, and implications for estimating county prevalence

Author

Listed:
  • Peter Congdon
  • Patsy Lloyd

Abstract

For targeting prevention it is important to assess implications of national survey data for small area prevalence. Using data from NHANES, the study confirms that both individual level risk factors and geographic contextual factors affect chances of Toxocara infection. Copyright Swiss School of Public Health 2011

Suggested Citation

  • Peter Congdon & Patsy Lloyd, 2011. "Toxocara infection in the United States: the relevance of poverty, geography and demography as risk factors, and implications for estimating county prevalence," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(1), pages 15-24, February.
    • Handle: RePEc:spr:ijphth:v:56:y:2011:i:1:p:15-24
    DOI: 10.1007/s00038-010-0143-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00038-010-0143-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00038-010-0143-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Peter J Hotez, 2007. "Neglected Diseases and Poverty in “The Other America”: The Greatest Health Disparity in the United States?," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 1(3), pages 1-3, December.
    2. Peter J Hotez, 2008. "Neglected Infections of Poverty in the United States of America," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 2(6), pages 1-11, June.
    3. Robert Adams & Natasha Howard & Graeme Tucker & Sarah Appleton & Anne Taylor & Catherine Chittleborough & Tiffany Gill & Richard Ruffin & David Wilson, 2009. "Effects of area deprivation on health risks and outcomes: a multilevel, cross-sectional, Australian population study," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 54(3), pages 183-192, May.
    4. Acevedo-Garcia, Dolores, 2000. "Residential segregation and the epidemiology of infectious diseases," Social Science & Medicine, Elsevier, vol. 51(8), pages 1143-1161, October.
    5. J. G. Ibrahim & S. R. Lipsitz & M.‐H. Chen, 1999. "Missing covariates in generalized linear models when the missing data mechanism is non‐ignorable," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 173-190.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter J Hotez & Gavin Yamey, 2009. "The Evolving Scope of PLoS Neglected Tropical Diseases," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 3(2), pages 1-2, February.
    2. Peter J Hotez, 2011. "America’s Most Distressed Areas and Their Neglected Infections: The United States Gulf Coast and the District of Columbia," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 5(3), pages 1-3, March.
    3. Yanrong Qiu & Kaihuai Liao & Yanting Zou & Gengzhi Huang, 2022. "A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    4. Peter J Hotez, 2012. "Engaging a Rising China through Neglected Tropical Diseases," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 6(11), pages 1-4, November.
    5. Zhang, Jing & Wang, Qihua & Kang, Jian, 2020. "Feature screening under missing indicator imputation with non-ignorable missing response," Computational Statistics & Data Analysis, Elsevier, vol. 149(C).
    6. Gerda Claeskens & Fabrizio Consentino, 2008. "Variable Selection with Incomplete Covariate Data," Biometrics, The International Biometric Society, vol. 64(4), pages 1062-1069, December.
    7. Do, D. Phuong & Wang, Lu & Elliott, Michael R., 2013. "Investigating the relationship between neighborhood poverty and mortality risk: A marginal structural modeling approach," Social Science & Medicine, Elsevier, vol. 91(C), pages 58-66.
    8. Ramon I. Garcia & Joseph G. Ibrahim & Hongtu Zhu, 2010. "Variable Selection in the Cox Regression Model with Covariates Missing at Random," Biometrics, The International Biometric Society, vol. 66(1), pages 97-104, March.
    9. Jiang, Depeng & Zhao, Puying & Tang, Niansheng, 2016. "A propensity score adjustment method for regression models with nonignorable missing covariates," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 98-119.
    10. Prentice, Julia C., 2006. "Neighborhood effects on primary care access in Los Angeles," Social Science & Medicine, Elsevier, vol. 62(5), pages 1291-1303, March.
    11. Amy H. Herring & Joseph G. Ibrahim & Stuart R. Lipsitz, 2002. "Frailty Models with Missing Covariates," Biometrics, The International Biometric Society, vol. 58(1), pages 98-109, March.
    12. Kamyar Hasanzadeh & Tiina Laatikainen & Marketta Kyttä, 2018. "A place-based model of local activity spaces: individual place exposure and characteristics," Journal of Geographical Systems, Springer, vol. 20(3), pages 227-252, July.
    13. James J. Feigenbaum & Christopher Muller & Elizabeth Wrigley-Field, 2019. "Regional and Racial Inequality in Infectious Disease Mortality in U.S. Cities, 1900–1948," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1371-1388, August.
    14. Hongbin Zhang & Lang Wu, 2018. "A non‐linear model for censored and mismeasured time varying covariates in survival models, with applications in human immunodeficiency virus and acquired immune deficiency syndrome studies," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 67(5), pages 1437-1450, November.
    15. Liu, Li & Xiang, Liming, 2019. "Missing covariate data in generalized linear mixed models with distribution-free random effects," Computational Statistics & Data Analysis, Elsevier, vol. 134(C), pages 1-16.
    16. Kano, Yutaka & Takai, Keiji, 2011. "Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model," Journal of Multivariate Analysis, Elsevier, vol. 102(9), pages 1241-1255, October.
    17. Qingxia Chen & Fan Zhang & Ming-Hui Chen & Xiuyu Julie Cong, 2020. "Estimation of treatment effects and model diagnostics with two-way time-varying treatment switching: an application to a head and neck study," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(4), pages 685-707, October.
    18. Beck, Audrey N. & Finch, Brian K. & Lin, Shih-Fan & Hummer, Robert A. & Masters, Ryan K., 2014. "Racial disparities in self-rated health: Trends, explanatory factors, and the changing role of socio-demographics," Social Science & Medicine, Elsevier, vol. 104(C), pages 163-177.
    19. Samiran Sinha & Krishna K. Saha & Suojin Wang, 2014. "Semiparametric approach for non-monotone missing covariates in a parametric regression model," Biometrics, The International Biometric Society, vol. 70(2), pages 299-311, June.
    20. Rachel M Lee & Laura B Moore & Maria Elena Bottazzi & Peter J Hotez, 2014. "Toxocariasis in North America: A Systematic Review," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 8(8), pages 1-7, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijphth:v:56:y:2011:i:1:p:15-24. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.