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


1 de febrero de 2018

Artículo de investigación publicado en Vector borne and zoonotic diseases


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. y 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

Participantes:

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
1.190 2016

NLMID: 100965525

PMID: 29261435

ISSN: 1530-3667



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


REVISTA: Vector Borne Zoonotic Dis.


NUMERACIÓN: 18(2):89-95


AÑO: 2018


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


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


PARTICIPANTES VISAVET


First
Julio Álvarez Sánchez
4th
Teresa García-Seco Romero

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


CITA ESTA PUBLICACIÓN:

Alvarez J., Whitten T., Branscum AJ., Garcia-Seco T., Bender JB., Scheftel J. y 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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