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An integrated system for the management of environmental data to support veterinary epidemiology
Environmental and climatic fluctuations can greatly influence the dynamics of infectious diseases of veterinary concern, or interfere with the implementation of relevant control measures. Including environmental and climatic aspects in epidemiological studies could provide policy makers with new ins...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070964/ https://www.ncbi.nlm.nih.gov/pubmed/37026100 http://dx.doi.org/10.3389/fvets.2023.1069979 |
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author | Mazzucato, Matteo Marchetti, Giulio Barbujani, Marco Mulatti, Paolo Fornasiero, Diletta Casarotto, Claudia Scolamacchia, Francesca Manca, Grazia Ferrè, Nicola |
author_facet | Mazzucato, Matteo Marchetti, Giulio Barbujani, Marco Mulatti, Paolo Fornasiero, Diletta Casarotto, Claudia Scolamacchia, Francesca Manca, Grazia Ferrè, Nicola |
author_sort | Mazzucato, Matteo |
collection | PubMed |
description | Environmental and climatic fluctuations can greatly influence the dynamics of infectious diseases of veterinary concern, or interfere with the implementation of relevant control measures. Including environmental and climatic aspects in epidemiological studies could provide policy makers with new insights to assign resources for measures to prevent or limit the spread of animal diseases, particularly those with zoonotic potential. The ever-increasing number of technologies and tools permits acquiring environmental data from various sources, including ground-based sensors and Satellite Earth Observation (SEO). However, the high heterogeneity of these datasets often requires at least some basic GIS (Geographic Information Systems) and/or coding skills to use them in further analysis. Therefore, the high availability of data does not always correspond to widespread use for research purposes. The development of an integrated data pre-processing system makes it possible to obtain information that could be easily and directly used in subsequent epidemiological analyses, supporting both research activities and the management of disease outbreaks. Indeed, such an approach allows for the reduction of the time spent on searching, downloading, processing and validating environmental data, thereby optimizing available resources and reducing any possible errors directly related to data collection. Although multitudes of free services that allow obtaining SEO data exist nowadays (either raw or pre-processed through a specific coding language), the availability and quality of information can be sub-optimal when dealing with very small scale and local data. In fact, some information sets (e.g., air temperature, rainfall), usually derived from ground-based sensors (e.g., agro-meteo station), are managed, processed and redistributed by agencies operating on a local scale which are often not directly accessible by the most common free SEO services (e.g., Google Earth Engine). The EVE (Environmental data for Veterinary Epidemiology) system has been developed to acquire, pre-process and archive a set of environmental information at various scales, in order to facilitate and speed up access by epidemiologists, researchers and decision-makers, also accounting for the integration of SEO information with locally sensed data. |
format | Online Article Text |
id | pubmed-10070964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100709642023-04-05 An integrated system for the management of environmental data to support veterinary epidemiology Mazzucato, Matteo Marchetti, Giulio Barbujani, Marco Mulatti, Paolo Fornasiero, Diletta Casarotto, Claudia Scolamacchia, Francesca Manca, Grazia Ferrè, Nicola Front Vet Sci Veterinary Science Environmental and climatic fluctuations can greatly influence the dynamics of infectious diseases of veterinary concern, or interfere with the implementation of relevant control measures. Including environmental and climatic aspects in epidemiological studies could provide policy makers with new insights to assign resources for measures to prevent or limit the spread of animal diseases, particularly those with zoonotic potential. The ever-increasing number of technologies and tools permits acquiring environmental data from various sources, including ground-based sensors and Satellite Earth Observation (SEO). However, the high heterogeneity of these datasets often requires at least some basic GIS (Geographic Information Systems) and/or coding skills to use them in further analysis. Therefore, the high availability of data does not always correspond to widespread use for research purposes. The development of an integrated data pre-processing system makes it possible to obtain information that could be easily and directly used in subsequent epidemiological analyses, supporting both research activities and the management of disease outbreaks. Indeed, such an approach allows for the reduction of the time spent on searching, downloading, processing and validating environmental data, thereby optimizing available resources and reducing any possible errors directly related to data collection. Although multitudes of free services that allow obtaining SEO data exist nowadays (either raw or pre-processed through a specific coding language), the availability and quality of information can be sub-optimal when dealing with very small scale and local data. In fact, some information sets (e.g., air temperature, rainfall), usually derived from ground-based sensors (e.g., agro-meteo station), are managed, processed and redistributed by agencies operating on a local scale which are often not directly accessible by the most common free SEO services (e.g., Google Earth Engine). The EVE (Environmental data for Veterinary Epidemiology) system has been developed to acquire, pre-process and archive a set of environmental information at various scales, in order to facilitate and speed up access by epidemiologists, researchers and decision-makers, also accounting for the integration of SEO information with locally sensed data. Frontiers Media S.A. 2023-03-21 /pmc/articles/PMC10070964/ /pubmed/37026100 http://dx.doi.org/10.3389/fvets.2023.1069979 Text en Copyright © 2023 Mazzucato, Marchetti, Barbujani, Mulatti, Fornasiero, Casarotto, Scolamacchia, Manca and Ferrè. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Veterinary Science Mazzucato, Matteo Marchetti, Giulio Barbujani, Marco Mulatti, Paolo Fornasiero, Diletta Casarotto, Claudia Scolamacchia, Francesca Manca, Grazia Ferrè, Nicola An integrated system for the management of environmental data to support veterinary epidemiology |
title | An integrated system for the management of environmental data to support veterinary epidemiology |
title_full | An integrated system for the management of environmental data to support veterinary epidemiology |
title_fullStr | An integrated system for the management of environmental data to support veterinary epidemiology |
title_full_unstemmed | An integrated system for the management of environmental data to support veterinary epidemiology |
title_short | An integrated system for the management of environmental data to support veterinary epidemiology |
title_sort | integrated system for the management of environmental data to support veterinary epidemiology |
topic | Veterinary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10070964/ https://www.ncbi.nlm.nih.gov/pubmed/37026100 http://dx.doi.org/10.3389/fvets.2023.1069979 |
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