Towards integrated surveillance of zoonoses: spatiotemporal joint modeling of rodent population data and human tularemia cases in Finland

Towards integrated surveillance of zoonoses: spatiotemporal joint modeling of rodent population data and human tularemia cases in Finland

Abstract Background There are an increasing number of geo-coded information streams available which could improve public health surveillance accuracy and efficiency when properly integrated. Specifically, for zoonotic diseases, knowledge of spatial and temporal patterns of animal host distribution c...

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Bibliographic Details
Main Authors: C. Rotejanaprasert, A. Lawson, H. Rossow, J. Sane, O. Huitu, H. Henttonen, V. J. Del Rio Vilas
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Medical Research Methodology
Subjects:
Surveillance integration
Joint diseases modeling
Zoonoses
Tularemia
Finland
Online Access:http://link.springer.com/article/10.1186/s12874-018-0532-8

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http://link.springer.com/article/10.1186/s12874-018-0532-8

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