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Present habitat suitability for Anopheles atroparvus (Diptera, Culicidae) and its coincidence with former malaria areas in mainland Portugal

2009Journal article Open access
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dc.contributor.authorCapinha, César
dc.contributor.authorGomes, Eduardo
dc.contributor.authorReis, Eusébio
dc.contributor.authorRocha, Jorge
dc.contributor.authorSousa, Carla A.
dc.contributor.authorDo Rosário, V. E.
dc.contributor.authorAlmeida, A. Paulo
dc.date.accessioned2019-02-13T14:40:49Z
dc.date.available2019-02-13T14:40:49Z
dc.date.issued2009
dc.description.abstractMalaria was a major health problem in the first half of the 20th Century in mainland Portugal. Nowadays, although the disease is no longer endemic, there is still the risk of future endemic infections due to the continuous occurrence of imported cases and the possibility of transmission in the country by Anopheles atroparvus Van Thiel, 1927. Since vector abundance constitute one of the foremost factors in malaria transmission, we have created several habitat suitability models to describe this vector species' current distribution. Three different correlative models; namely (i) a multilayer perceptron artificial neural network (MLP-ANN); (ii) binary logistic regression (BLR); and (iii) Mahalanobis distance were used to combine the species records with a set of five environmental predictors. Kappa coefficient values from k-fold cross-validation records showed that binary logistic regression produced the best predictions, while the other two models also produced acceptable results. Therefore, in order to reduce uncertainty, the three suitability models were combined. The resulting model identified high suitability for An. atroparvus in the majority of the country with exception of the northern and central coastal areas. Malaria distribution during the last endemic period in the country was also compared with the combined suitability model, and a high degree of spatial agreement was obtained (kappa = 0.62). It was concluded that habitat suitability for malaria vectors can constitute valuable information on the assessment of several spatial attributes of the disease. In addition, the results suggest that the spatial distribution of An. atroparvus in the country remains very similar to the one known about seven decades ago.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCapinha, C., Gomes, E., Reis, E., Rocha, J., Sousa, C. A., do Rosário, V. E., & Almeida, A. P. (2009). Present habitat suitability for Anopheles atroparvus (Diptera, Culicidae) and its coincidence with former malaria areas in mainland Portugal. Geospatial Health, 3(2), 177–187. https://doi.org/10.4081/gh.2009.219pt_PT
dc.identifier.doi10.4081/gh.2009.219pt_PT
dc.identifier.issn1827-1987
dc.identifier.issn1970-7096
dc.identifier.urihttp://hdl.handle.net/10451/36984
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherPAGEpresspt_PT
dc.relationPOCTI/35775/ESP/2000pt_PT
dc.relation.publisherversionhttps://geospatialhealth.net/index.php/gh/article/view/219pt_PT
dc.subjectAnimalspt_PT
dc.subjectMalariapt_PT
dc.subjectModels, Statisticalpt_PT
dc.subjectNeural Networks (Computer)pt_PT
dc.subjectPortugalpt_PT
dc.subjectAnophelespt_PT
dc.subjectEcosystempt_PT
dc.subjectPopulation Densitypt_PT
dc.titlePresent habitat suitability for Anopheles atroparvus (Diptera, Culicidae) and its coincidence with former malaria areas in mainland Portugalpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage187pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage177pt_PT
oaire.citation.titleGeospatial Healthpt_PT
oaire.citation.volume3pt_PT
person.familyNameCapinha
person.familyNameGomes
person.familyNameReis
person.familyNameRocha
person.givenNameCésar
person.givenNameEduardo
person.givenNameEusébio
person.givenNameJorge
person.identifier0000000069085031
person.identifier.ciencia-id7714-2A88-CDE3
person.identifier.ciencia-idBD16-38FD-7C3E
person.identifier.ciencia-id8F1E-24ED-D262
person.identifier.ciencia-idEC15-76DC-9B96
person.identifier.orcid0000-0002-0666-9755
person.identifier.orcid0000-0001-8703-1763
person.identifier.orcid0000-0001-8367-1835
person.identifier.orcid0000-0002-7228-6330
person.identifier.ridK-6439-2017
person.identifier.ridV-6159-2017
person.identifier.ridM-8740-2016
person.identifier.ridF-3185-2017
person.identifier.scopus-author-id32867555000
person.identifier.scopus-author-id32867650100
person.identifier.scopus-author-id7103146725
person.identifier.scopus-author-id56428061000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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