Publicação
Veterinary syndromic surveillance using swine production data for farm health management and early disease detection
| Resumo: | The use of syndromic surveillance (SyS) has grown in animal health since the 2010s, but the use of production data has been underexplored due to methodological and practical challenges. This paper aimed to tackle some of those challenges by developing a SyS system using production data routinely collected in pig breeding farms. Health-related indicators were created from the recorded data, and two different time-series types emerged: the weekly counts of events traditionally used in SyS; and continuous time-series, where every new event is a new observation, and grouping by time-unit is not applied. Exponentially Weighted Moving Average (EWMA) and Shewhart control charts were used for temporal aberration detection, using three detection limits to create a “severity” score. The system performance was evaluated using simulated outbreaks of porcine respiratory and reproduction syndrome (PRRS) as a disease introduction scenario. The system proved capable of providing early detection of unexpected trends, serving as a useful health and management decision support tool for farmers. Further research is needed to combine results of monitoring multiple parallel time-series into an overall assessment of the risk of reproduction failure. |
|---|---|
| Autores principais: | Merca, Carolina |
| Outros Autores: | Lindell, Clemensson; Ernholm, L.; Selling, Eliasson; Nunes, Telmo; Sjolund, M.; Dorea, F. C. |
| Assunto: | Farm data Production data Early detection Digital surveillance Temporal monitoring |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| _version_ | 1866811500707971072 |
|---|---|
| author | Merca, Carolina |
| author2 | Lindell, Clemensson Ernholm, L. Selling, Eliasson Nunes, Telmo Sjolund, M. Dorea, F. C. |
| author2_role | author author author author author author |
| author_facet | Merca, Carolina Lindell, Clemensson Ernholm, L. Selling, Eliasson Nunes, Telmo Sjolund, M. Dorea, F. C. |
| author_role | author |
| contributor_name_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Merca, Carolina\",\"Person.identifier.orcid\":\"0000-0001-8598-9564\"},{\"Person.name\":\"Lindell, Clemensson\"},{\"Person.name\":\"Ernholm, L.\"},{\"Person.name\":\"Selling, Eliasson\"},{\"Person.name\":\"Nunes, Telmo\",\"Person.identifier.orcid\":\"0000-0003-4388-5366\"},{\"Person.name\":\"Sjolund, M.\"},{\"Person.name\":\"Dorea, F. C.\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| datacite.creators.creator.creatorName.fl_str_mv | Merca, Carolina Lindell, Clemensson Ernholm, L. Selling, Eliasson Nunes, Telmo Sjolund, M. Dorea, F. C. |
| datacite.date.Accepted.fl_str_mv | 2022-08-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2022-10-03T22:37:13Z |
| datacite.date.embargoed.fl_str_mv | 2022-10-03T22:37:13Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Farm data Production data Early detection Digital surveillance Temporal monitoring |
| datacite.titles.title.fl_str_mv | Veterinary syndromic surveillance using swine production data for farm health management and early disease detection |
| dc.contributor.none.fl_str_mv | Repositório Científico de Acesso Aberto da ULisboa |
| dc.creator.none.fl_str_mv | Merca, Carolina Lindell, Clemensson Ernholm, L. Selling, Eliasson Nunes, Telmo Sjolund, M. Dorea, F. C. |
| dc.date.Accepted.fl_str_mv | 2022-08-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2022-10-03T22:37:13Z |
| dc.date.embargoed.fl_str_mv | 2022-10-03T22:37:13Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10400.5/25658 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Preventive Veterinary Medicine |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Farm data Production data Early detection Digital surveillance Temporal monitoring |
| dc.title.fl_str_mv | Veterinary syndromic surveillance using swine production data for farm health management and early disease detection |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | The use of syndromic surveillance (SyS) has grown in animal health since the 2010s, but the use of production data has been underexplored due to methodological and practical challenges. This paper aimed to tackle some of those challenges by developing a SyS system using production data routinely collected in pig breeding farms. Health-related indicators were created from the recorded data, and two different time-series types emerged: the weekly counts of events traditionally used in SyS; and continuous time-series, where every new event is a new observation, and grouping by time-unit is not applied. Exponentially Weighted Moving Average (EWMA) and Shewhart control charts were used for temporal aberration detection, using three detection limits to create a “severity” score. The system performance was evaluated using simulated outbreaks of porcine respiratory and reproduction syndrome (PRRS) as a disease introduction scenario. The system proved capable of providing early detection of unexpected trends, serving as a useful health and management decision support tool for farmers. Further research is needed to combine results of monitoring multiple parallel time-series into an overall assessment of the risk of reproduction failure. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorio.ulisboa.pt/bitstreams/d5deb051-98e5-4815-a2d3-d18efa833eab/download |
| id | ul_e151d3f4c5643dd2ebb3efe8c508badc |
| identifier.url.fl_str_mv | http://hdl.handle.net/10400.5/25658 |
| instacron_str | ul |
| institution | Universidade de Lisboa |
| instname_str | Universidade de Lisboa |
| language | eng |
| network_acronym_str | ul |
| network_name_str | Repositório da Universidade de Lisboa |
| oai_identifier_str | oai:repositorio.ulisboa.pt:10400.5/25658 |
| organization_str_mv | urn:organizationAcronym:ul |
| person_str_mv | Merca, Carolina Merca, Carolina http://orcid.org/0000-0001-8598-9564 0000-0001-8598-9564 Lindell, Clemensson Ernholm, L. Selling, Eliasson Nunes, Telmo Nunes, Telmo https://www.ciencia-id.pt/2C1A-E281-3E6F 2C1A-E281-3E6F http://orcid.org/0000-0003-4388-5366 0000-0003-4388-5366 Sjolund, M. Dorea, F. C. |
| publishDate | 2022 |
| publisher.none.fl_str_mv | Preventive Veterinary Medicine |
| reponame_str | Repositório da Universidade de Lisboa |
| repository_id_str | urn:repositoryAcronym:ul |
| service_str_mv | urn:repositoryAcronym:ul |
| spelling | engPreventive Veterinary Medicinept_PTThe use of syndromic surveillance (SyS) has grown in animal health since the 2010s, but the use of production data has been underexplored due to methodological and practical challenges. This paper aimed to tackle some of those challenges by developing a SyS system using production data routinely collected in pig breeding farms. Health-related indicators were created from the recorded data, and two different time-series types emerged: the weekly counts of events traditionally used in SyS; and continuous time-series, where every new event is a new observation, and grouping by time-unit is not applied. Exponentially Weighted Moving Average (EWMA) and Shewhart control charts were used for temporal aberration detection, using three detection limits to create a “severity” score. The system performance was evaluated using simulated outbreaks of porcine respiratory and reproduction syndrome (PRRS) as a disease introduction scenario. The system proved capable of providing early detection of unexpected trends, serving as a useful health and management decision support tool for farmers. Further research is needed to combine results of monitoring multiple parallel time-series into an overall assessment of the risk of reproduction failure.application/pdfpt_PTVeterinary syndromic surveillance using swine production data for farm health management and early disease detectionPersonalMerca, CarolinaDSpacehttp://dspace.org/items/72011288-e95c-4cd6-b447-0711b63df8b8DSpacehttp://dspace.org/items/72011288-e95c-4cd6-b447-0711b63df8b8MercaCarolinaORCIDhttp://orcid.org0000-0001-8598-9564Lindell, ClemenssonErnholm, L.Selling, EliassonPersonalNunes, TelmoDSpacehttp://dspace.org/items/acbacc01-80c6-4ac1-9eab-ce8daa65442cDSpacehttp://dspace.org/items/acbacc01-80c6-4ac1-9eab-ce8daa65442cLandeiro Raposo Pina NunesTelmo RenatoCiência IDhttps://www.ciencia-id.pt2C1A-E281-3E6FORCIDhttp://orcid.org0000-0003-4388-5366Sjolund, M.Dorea, F. C.HostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptISSNIsPartOf0167-5877DOIIsPartOf10.1016/j.prevetmed.2022.1056592022-10-03T22:37:13Z2022-082022-08-01T00:00:00ZHandlehttp://hdl.handle.net/10400.5/25658http://purl.org/coar/access_right/c_abf2open accessFarm dataProduction dataEarly detectionDigital surveillanceTemporal monitoring2149369 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2022-08http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/d5deb051-98e5-4815-a2d3-d18efa833eab/downloadPreventive Veterinary Medicine205:105659Amsterdam, Netherlands |
| spellingShingle | Veterinary syndromic surveillance using swine production data for farm health management and early disease detection Merca, Carolina Farm data Production data Early detection Digital surveillance Temporal monitoring |
| status | SINGLETON |
| subject.fl_str_mv | Farm data Production data Early detection Digital surveillance Temporal monitoring |
| title | Veterinary syndromic surveillance using swine production data for farm health management and early disease detection |
| title_full | Veterinary syndromic surveillance using swine production data for farm health management and early disease detection |
| title_fullStr | Veterinary syndromic surveillance using swine production data for farm health management and early disease detection |
| title_full_unstemmed | Veterinary syndromic surveillance using swine production data for farm health management and early disease detection |
| title_short | Veterinary syndromic surveillance using swine production data for farm health management and early disease detection |
| title_sort | Veterinary syndromic surveillance using swine production data for farm health management and early disease detection |
| topic | Farm data Production data Early detection Digital surveillance Temporal monitoring |
| topic_facet | Farm data Production data Early detection Digital surveillance Temporal monitoring |
| url | http://hdl.handle.net/10400.5/25658 |
| visible | 1 |