000134978 001__ 134978
000134978 005__ 20250923084426.0
000134978 0247_ $$2doi$$a10.1080/22221751.2024.2343911
000134978 0248_ $$2sideral$$a138489
000134978 037__ $$aART-2024-138489
000134978 041__ $$aeng
000134978 100__ $$aTaheri, Shirin
000134978 245__ $$aModelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases
000134978 260__ $$c2024
000134978 5060_ $$aAccess copy available to the general public$$fUnrestricted
000134978 5203_ $$aMalaria remains one of the most important infectious diseases globally due to its high incidence and mortality rates. The influx of infected cases from endemic to non-endemic malaria regions like Europe has resulted in a public health concern over sporadic local outbreaks. This is facilitated by the continued presence of competent Anopheles vectors in non-endemic countries.
We modelled the potential distribution of the main malaria vector across Spain using the ensemble of eight modelling techniques based on environmental parameters and the Anopheles maculipennis s.l. presence/absence data collected from 2000 to 2020. We then combined this map with the number of imported malaria cases in each municipality to detect the geographic hot spots with a higher risk of local malaria transmission.
The malaria vector occurred preferentially in irrigated lands characterized by warm climate conditions and moderate annual precipitation. Some areas surrounding irrigated lands in northern Spain (e.g. Zaragoza, Logroño), mainland areas (e.g. Madrid, Toledo) and in the South (e.g. Huelva), presented a significant likelihood of A. maculipennis s.l. occurrence, with a large overlap with the presence of imported cases of malaria.
While the risk of malaria re-emergence in Spain is low, it is not evenly distributed throughout the country. The four recorded local cases of mosquito-borne transmission occurred in areas with a high overlap of imported cases and mosquito presence. Integrating mosquito distribution with human incidence cases provides an effective tool for the quantification of large-scale geographic variation in transmission risk and pinpointing priority areas for targeted surveillance and prevention.
000134978 536__ $$9info:eu-repo/grantAgreement/ES/MCIN/PLEC2021-007968
000134978 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000134978 590__ $$a7.5$$b2024
000134978 592__ $$a2.264$$b2024
000134978 591__ $$aIMMUNOLOGY$$b22 / 183 = 0.12$$c2024$$dQ1$$eT1
000134978 591__ $$aMICROBIOLOGY$$b16 / 163 = 0.098$$c2024$$dQ1$$eT1
000134978 591__ $$aINFECTIOUS DISEASES$$b7 / 137 = 0.051$$c2024$$dQ1$$eT1
000134978 593__ $$aEpidemiology$$c2024$$dQ1
000134978 593__ $$aDrug Discovery$$c2024$$dQ1
000134978 593__ $$aImmunology$$c2024$$dQ1
000134978 593__ $$aVirology$$c2024$$dQ1
000134978 593__ $$aMedicine (miscellaneous)$$c2024$$dQ1
000134978 593__ $$aMicrobiology$$c2024$$dQ1
000134978 593__ $$aParasitology$$c2024$$dQ1
000134978 593__ $$aInfectious Diseases$$c2024$$dQ1
000134978 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000134978 700__ $$aGonzález, Mikel Alexander
000134978 700__ $$aRuiz-López, María José
000134978 700__ $$aMagallanes, Sergio
000134978 700__ $$aDelacour-Estrella, Sarah
000134978 700__ $$0(orcid)0000-0003-0663-8411$$aLucientes, Javier$$uUniversidad de Zaragoza
000134978 700__ $$aBueno-Marí, Rubén
000134978 700__ $$aMartínez-de la Puente, Josué
000134978 700__ $$aBravo-Barriga, Daniel
000134978 700__ $$aFrontera, Eva
000134978 700__ $$aPolina, Alejandro
000134978 700__ $$aMartinez-Barciela, Yasmina
000134978 700__ $$aPereira, José Manuel
000134978 700__ $$aGarrido, Josefina
000134978 700__ $$aAranda, Carles
000134978 700__ $$aMarzal, Alfonso
000134978 700__ $$0(orcid)0000-0001-8198-8118$$aRuiz-Arrondo, Ignacio$$uUniversidad de Zaragoza
000134978 700__ $$aOteo, José Antonio
000134978 700__ $$aFerraguti, Martina
000134978 700__ $$aGutíerrez-López, Rafael
000134978 700__ $$aEstrada, Rosa
000134978 700__ $$aMiranda, Miguel Ángel
000134978 700__ $$aBarceló, Carlos
000134978 700__ $$aMorchón, Rodrigo
000134978 700__ $$aMontalvo, Tomas
000134978 700__ $$aGangoso, Laura
000134978 700__ $$aGoiri, Fátima
000134978 700__ $$aGarcía-Pérez, Ana L.
000134978 700__ $$aRuiz, Santiago
000134978 700__ $$aFernandez-Martinez, Beatriz
000134978 700__ $$aGómez-Barroso, Diana
000134978 700__ $$aFiguerola, Jordi
000134978 7102_ $$11009$$2773$$aUniversidad de Zaragoza$$bDpto. Patología Animal$$cÁrea Sanidad Animal
000134978 773__ $$g13, 1 (2024), 2343911 [11 pp.]$$pEmerg. microbes infect.$$tEmerging microbes & infections$$x2222-1751
000134978 8564_ $$s2309941$$uhttps://zaguan.unizar.es/record/134978/files/texto_completo.pdf$$yVersión publicada
000134978 8564_ $$s3468283$$uhttps://zaguan.unizar.es/record/134978/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000134978 909CO $$ooai:zaguan.unizar.es:134978$$particulos$$pdriver
000134978 951__ $$a2025-09-22-14:40:05
000134978 980__ $$aARTICLE