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Modeling R(0) for Pathogens with Environmental Transmission: Animal Movements, Pathogen Populations, and Local Infectious Zones
How a disease is transmitted affects our ability to determine R(0), the average number of new cases caused by an infectious host at the onset of an epidemic. R(0) becomes progressively more difficult to compute as transmission varies from directly transmitted diseases to diseases that are vector-bor...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466347/ https://www.ncbi.nlm.nih.gov/pubmed/30884913 http://dx.doi.org/10.3390/ijerph16060954 |
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author | Blackburn, Jason K. Ganz, Holly H. Ponciano, José Miguel Turner, Wendy C. Ryan, Sadie J. Kamath, Pauline Cizauskas, Carrie Kausrud, Kyrre Holt, Robert D. Stenseth, Nils Chr. Getz, Wayne M. |
author_facet | Blackburn, Jason K. Ganz, Holly H. Ponciano, José Miguel Turner, Wendy C. Ryan, Sadie J. Kamath, Pauline Cizauskas, Carrie Kausrud, Kyrre Holt, Robert D. Stenseth, Nils Chr. Getz, Wayne M. |
author_sort | Blackburn, Jason K. |
collection | PubMed |
description | How a disease is transmitted affects our ability to determine R(0), the average number of new cases caused by an infectious host at the onset of an epidemic. R(0) becomes progressively more difficult to compute as transmission varies from directly transmitted diseases to diseases that are vector-borne to environmentally transmitted diseases. Pathogens responsible for diseases with environmental transmission are typically maintained in environmental reservoirs that exhibit a complex spatial distribution of local infectious zones (LIZs). Understanding host encounters with LIZs and pathogen persistence within LIZs is required for an accurate R(0) and modeling these contacts requires an integrated geospatial and dynamical systems approach. Here we review how interactions between host and pathogen populations and environmental reservoirs are driven by landscape-level variables, and synthesize the quantitative framework needed to formulate outbreak response and disease control. |
format | Online Article Text |
id | pubmed-6466347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64663472019-04-22 Modeling R(0) for Pathogens with Environmental Transmission: Animal Movements, Pathogen Populations, and Local Infectious Zones Blackburn, Jason K. Ganz, Holly H. Ponciano, José Miguel Turner, Wendy C. Ryan, Sadie J. Kamath, Pauline Cizauskas, Carrie Kausrud, Kyrre Holt, Robert D. Stenseth, Nils Chr. Getz, Wayne M. Int J Environ Res Public Health Perspective How a disease is transmitted affects our ability to determine R(0), the average number of new cases caused by an infectious host at the onset of an epidemic. R(0) becomes progressively more difficult to compute as transmission varies from directly transmitted diseases to diseases that are vector-borne to environmentally transmitted diseases. Pathogens responsible for diseases with environmental transmission are typically maintained in environmental reservoirs that exhibit a complex spatial distribution of local infectious zones (LIZs). Understanding host encounters with LIZs and pathogen persistence within LIZs is required for an accurate R(0) and modeling these contacts requires an integrated geospatial and dynamical systems approach. Here we review how interactions between host and pathogen populations and environmental reservoirs are driven by landscape-level variables, and synthesize the quantitative framework needed to formulate outbreak response and disease control. MDPI 2019-03-17 2019-03 /pmc/articles/PMC6466347/ /pubmed/30884913 http://dx.doi.org/10.3390/ijerph16060954 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Perspective Blackburn, Jason K. Ganz, Holly H. Ponciano, José Miguel Turner, Wendy C. Ryan, Sadie J. Kamath, Pauline Cizauskas, Carrie Kausrud, Kyrre Holt, Robert D. Stenseth, Nils Chr. Getz, Wayne M. Modeling R(0) for Pathogens with Environmental Transmission: Animal Movements, Pathogen Populations, and Local Infectious Zones |
title | Modeling R(0) for Pathogens with Environmental Transmission: Animal Movements, Pathogen Populations, and Local Infectious Zones |
title_full | Modeling R(0) for Pathogens with Environmental Transmission: Animal Movements, Pathogen Populations, and Local Infectious Zones |
title_fullStr | Modeling R(0) for Pathogens with Environmental Transmission: Animal Movements, Pathogen Populations, and Local Infectious Zones |
title_full_unstemmed | Modeling R(0) for Pathogens with Environmental Transmission: Animal Movements, Pathogen Populations, and Local Infectious Zones |
title_short | Modeling R(0) for Pathogens with Environmental Transmission: Animal Movements, Pathogen Populations, and Local Infectious Zones |
title_sort | modeling r(0) for pathogens with environmental transmission: animal movements, pathogen populations, and local infectious zones |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466347/ https://www.ncbi.nlm.nih.gov/pubmed/30884913 http://dx.doi.org/10.3390/ijerph16060954 |
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