Literature DB >> 26330135

An ecological analysis of pertussis disease in Minnesota, 2009-2013.

P Y Iroh Tam1, J S Menk2, J Hughes3, S L Kulasingam3.   

Abstract

The increase in pertussis cases in Minnesota in the last decade has been mainly attributed to the switch from whole cell to acellular pertussis [as part of the diphtheria, tetanus and acellular pertussis vaccine (DTaP)]. It is unclear, however, to what degree community-level risk factors also contribute. Understanding these factors can help inform public health policy-makers about where else to target resources. We performed an ecological analysis within Minnesota to identify risk factors at the county level using a Bayesian Poisson generalized linear areal model to account for spatial dependence. Univariate analyses suggested an association between increased pertussis rates at the county level and white maternal ethnicity, being US born, urban counties and average household size. In the multivariable analysis, the rate of pertussis was 1·79 times greater for urban vs. rural counties and 4·75 times greater for counties with a one-person larger average household size. Pertussis rates in counties with higher (i.e. 4+DTaP) receipt in children were 0·97 times lower. Examining county-level factors associated with varying levels of pertussis may help identify those counties that would most benefit from targeted interventions and increased resource allocation.

Entities:  

Keywords:  Bordetella pertussis; pertussis (whooping cough); respiratory infections; spatial modelling; vaccine-preventable diseases

Mesh:

Year:  2015        PMID: 26330135     DOI: 10.1017/S0950268815002046

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  4 in total

1.  An Assessment of the Cocooning Strategy for Preventing Infant Pertussis-United States, 2011.

Authors:  Amy E Blain; Melissa Lewis; Emily Banerjee; Kathy Kudish; Juventila Liko; Suzanne McGuire; David Selvage; James Watt; Stacey W Martin; Tami H Skoff
Journal:  Clin Infect Dis       Date:  2016-12-01       Impact factor: 9.079

2.  Factors influencing the spread of pertussis in households: a prospective study, Catalonia and Navarre, Spain, 2012 to 2013.

Authors:  Pere Godoy; Manuel García-Cenoz; Diana Toledo; Glòria Carmona; Joan A Caylà; Miquel Alsedà; Josep Àlvarez; Irene Barrabeig; Neus Camps; Pere Plans; María Company; Jesús Castilla; Maria-Rosa Sala-Farré; Carmen Muñoz-Almagro; Cristina Rius; Àngela Domínguez
Journal:  Euro Surveill       Date:  2016-11-10

3.  Spatio-temporal comparison of pertussis outbreaks in Olmsted County, Minnesota, 2004-2005 and 2012: a population-based study.

Authors:  Chung-Il Wi; Philip H Wheeler; Harsheen Kaur; Euijung Ryu; Dohyeong Kim; Young Juhn
Journal:  BMJ Open       Date:  2019-05-19       Impact factor: 2.692

4.  Geographic disparities and socio-demographic predictors of pertussis risk in Florida.

Authors:  Corinne B Tandy; Agricola Odoi
Journal:  PeerJ       Date:  2021-08-31       Impact factor: 2.984

  4 in total

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