{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T20:44:40Z","timestamp":1786999480933,"version":"build-2736575974"},"reference-count":28,"publisher":"Cambridge University Press (CUP)","issue":"13","license":[{"start":{"date-parts":[[2017,8,14]],"date-time":"2017-08-14T00:00:00Z","timestamp":1502668800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":["www.cambridge.org"],"crossmark-restriction":true},"short-container-title":["Parasitology"],"published-print":{"date-parts":[[2017,11]]},"abstract":"<jats:title>SUMMARY<\/jats:title><jats:p>Fascioliasis is a condition caused by the trematode <jats:italic>Fasciola hepatica<\/jats:italic>. In this paper, the spatial distribution of <jats:italic>F. hepatica<\/jats:italic> in bovines in Brazil was modelled using a decision tree approach and a logistic regression, combined with a geographic information system (GIS) query. In the decision tree and the logistic model, isothermality had the strongest influence on disease prevalence. Also, the 50-year average precipitation in the warmest quarter of the year was included as a risk factor, having a negative influence on the parasite prevalence. The risk maps developed using both techniques, showed a predicted higher prevalence mainly in the South of Brazil. The prediction performance seemed to be high, but both techniques failed to reach a high accuracy in predicting the medium and high prevalence classes to the entire country. The GIS query map, based on the range of isothermality, minimum temperature of coldest month, precipitation of warmest quarter of the year, altitude and the average dailyland surface temperature, showed a possibility of presence of <jats:italic>F. hepatica<\/jats:italic> in a very large area. The risk maps produced using these methods can be used to focus activities of animal and public health programmes, even on non-evaluated <jats:italic>F. hepatica<\/jats:italic> areas.<\/jats:p>","DOI":"10.1017\/s0031182017000786","type":"journal-article","created":{"date-parts":[[2017,8,14]],"date-time":"2017-08-14T07:07:23Z","timestamp":1502694443000},"page":"1677-1685","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":21,"title":["Modelling the spatial distribution of <i>Fasciola hepatica<\/i> in bovines using decision tree, logistic regression and GIS query approaches for Brazil"],"prefix":"10.1017","volume":"144","author":[{"given":"S. C.","family":"BENNEMA","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0572-5628","authenticated-orcid":false,"given":"M. B.","family":"MOLENTO","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R. G.","family":"SCHOLTE","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"O. S.","family":"CARVALHO","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"I.","family":"PRITSCH","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56","published-online":{"date-parts":[[2017,8,14]]},"reference":[{"key":"S0031182017000786_ref30","doi-asserted-by":"publisher","DOI":"10.1590\/S0036-46652014000300010"},{"key":"S0031182017000786_ref40","doi-asserted-by":"publisher","DOI":"10.4081\/gh.2012.127"},{"key":"S0031182017000786_ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.vetpar.2009.12.015"},{"key":"S0031182017000786_ref8","doi-asserted-by":"publisher","DOI":"10.3201\/eid0603.000301"},{"key":"S0031182017000786_ref15","volume-title":"Workshop on Learning from Imbalanced Datasets II","author":"Drummond","year":"2003"},{"key":"S0031182017000786_ref19","doi-asserted-by":"publisher","DOI":"10.1145\/1656274.1656278"},{"key":"S0031182017000786_ref47","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0000563"},{"key":"S0031182017000786_ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.vetpar.2004.03.016"},{"key":"S0031182017000786_ref29","doi-asserted-by":"publisher","DOI":"10.1136\/vr.b4836"},{"key":"S0031182017000786_ref44","first-page":"113","volume-title":"Fasciolosis","author":"Torgerson","year":"1999"},{"key":"S0031182017000786_ref11","volume-title":"Model Selection and Multimodel Inference : a Practical Information-theoretic Approach","author":"Burnham","year":"2002"},{"key":"S0031182017000786_ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpara.2010.09.003"},{"key":"S0031182017000786_ref10","doi-asserted-by":"publisher","DOI":"10.1590\/S0036-46652014000100005"},{"key":"S0031182017000786_ref48","volume-title":"Data Mining: Practical Machine learning Tools and Techniques","author":"Witten","year":"2005"},{"key":"S0031182017000786_ref24","first-page":"267","volume-title":"Censo Agropecuario \u2013 2006","year":"2016"},{"key":"S0031182017000786_ref27","doi-asserted-by":"publisher","DOI":"10.1590\/S0074-02762010000400033"},{"key":"S0031182017000786_ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S0304-4017(98)00137-X"},{"key":"S0031182017000786_ref23","unstructured":"Instituto Brasileiro de Geografia e Estat\u00edstica (IBGE) (2012). http:\/\/www.ibge.gov.br."},{"key":"S0031182017000786_ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.prevetmed.2005.07.013"},{"key":"S0031182017000786_ref12","doi-asserted-by":"publisher","DOI":"10.4081\/gh.2011.176"},{"key":"S0031182017000786_ref34","unstructured":"Oliveira E. L. (2008). Preval\u00eancia e fatores associados \u00e0 distribui\u00e7\u00e3o da Fasciola hepatica (Linnaeus, 1758) em bovinos dos munic\u00edpios de Carea\u00e7\u00fa e Itajub\u00e1, regi\u00e3o da bacia do rio Sapuca\u00ed, Minas Gerais . dissertation. Universidade Federal de Minas Gerais, Belo Horizonte."},{"key":"S0031182017000786_ref33","first-page":"149","article-title":"Triclabendazole resistance involving Fasciola hepatica in sheep and goats during an outbreak in Almirante Tamandare, Paran\u00e1, Brazil","volume":"17","author":"Oliveira","year":"2008","journal-title":"Brazilian Journal of Veterinary Parasitology"},{"key":"S0031182017000786_ref3","first-page":"1451","article-title":"Fasciola hepatica: epidemiology, perspectives in the diagnostic and the use of geoprocessing systems for prevalence studies","volume":"36","author":"Aleixo","year":"2015","journal-title":"Semina"},{"key":"S0031182017000786_ref36","volume-title":"C4.5: Programs for Machine Learning","author":"Quinlan","year":"1993"},{"key":"S0031182017000786_ref46","doi-asserted-by":"publisher","DOI":"10.4081\/gh.2012.125"},{"key":"S0031182017000786_ref4","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1590\/S1678-91992011000300006","article-title":"Distribution and factors associated with Fasciola hepatica infection in cattle in the south of Esp\u00edrito Santo State, Brazil","volume":"17","author":"Alves","year":"2011","journal-title":"Journal of Venomous Animals and Toxins including Tropical Diseases"},{"key":"S0031182017000786_ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.vetpar.2015.12.021"},{"key":"S0031182017000786_ref2","volume-title":"Conferencia de la Asociaci\u00f3n Espa\u00f1ola para la Inteligencia Artificial","author":"Albisua","year":"2009"}],"container-title":["Parasitology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0031182017000786","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,16]],"date-time":"2019-04-16T16:02:11Z","timestamp":1555430531000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0031182017000786\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,14]]},"references-count":28,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2017,11]]}},"alternative-id":["S0031182017000786"],"URL":"https:\/\/doi.org\/10.1017\/s0031182017000786","relation":{},"ISSN":["0031-1820","1469-8161"],"issn-type":[{"value":"0031-1820","type":"print"},{"value":"1469-8161","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,14]]},"assertion":[{"value":"Copyright \u00a9 Cambridge University Press 2017\u00a0","name":"license","label":"License","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}}]}}