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Understanding Q Fever Risk to Humans in Minnesota Through the Analysis of Spatiotemporal Trends

Investigation article published in Vector borne and zoonotic diseases

February 1st, 2018

Q fever is a widely distributed, yet, neglected zoonotic disease, for which domestic ruminants are considered the main reservoirs in some countries. There are still many gaps in our knowledge of its epidemiology, and the source of sporadic cases is often not determined. In this study, we show how Q fever surveillance data in combination with information routinely collected by government agencies in Minnesota during 1997 to 2015 can be used to characterize patterns of occurrence of Q fever illnesses and detect variables potentially associated with increased human illness. Cluster analysis and Bayesian spatial regression modeling revealed the presence of areas in Southern Minnesota at higher risk of Q fever. The number of sheep flocks at the county level helped to explain the observed number of human cases, while no association with the cattle or goat population was observed. Our results provide information about the heterogeneous spatial distribution of risk of Q fever in Minnesota




Alvarez J., Whitten T., Branscum AJ., Garcia-Seco T., Bender JB., Scheftel J. and Perez A.




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Understanding Q Fever Risk to Humans in Minnesota Through the Analysis of Spatiotemporal Trends

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Understanding Q Fever Risk to Humans in Minnesota Through the Analysis of Spatiotemporal Trends

Participants:

University of MinnesotaDepartment of Veterinary Population Medicine. College of Veterinary Medicine. University of Minnesota (UMM).

Oregon State UniversityBiostatistics Program. Oregon State University (OSU).

Universidad ComplutenseServicio de Zoonosis Emergentes, de Baja Prevalencia y Agresivos Biológicos (NED). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).







FACTOR YEAR Q
2.171 2017

NLMID: 100965525

PMID: 29261435

ISSN: 1530-3667



TITLE: Understanding Q Fever Risk to Humans in Minnesota Through the Analysis of Spatiotemporal Trends


JOURNAL: Vector Borne Zoonotic Dis.


NUMERACIÓN: 18(2):89-95


AÑO: 2018


PUBLISHER: Larchmont, NY : Mary Ann Liebert, Inc.


AUTHORS: Alvarez J., Whitten T., Branscum AJ., Garcia-Seco T., Bender JB., Scheftel J. and Perez A.


VISAVET PARTICIPANTS


First
Julio Álvarez Sánchez
4th
Teresa García-Seco Romero

DOI: https://doi.org/ 10.1089/vbz.2017.2132


CITE THIS PUBLICATION:

Alvarez J., Whitten T., Branscum AJ., Garcia-Seco T., Bender JB., Scheftel J. and Perez A. Understanding Q Fever Risk to Humans in Minnesota Through the Analysis of Spatiotemporal Trends. Vector borne and zoonotic diseases. 18(2):89-95. 2018. (A). ISSN: 1530-3667. DOI: 10.1089/vbz.2017.2132


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