Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases
Malaria 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...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:20.500.12327/2974 |
| Acceso en línea: | http://hdl.handle.net/20.500.12327/2974 https://doi.org/10.1080/22221751.2024.2343911 |
| Access Level: | acceso abierto |
| Palabra clave: | 619 |
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| dc.title.none.fl_str_mv |
Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases |
| title |
Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases |
| spellingShingle |
Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases Taheri, Shirin 619 |
| title_short |
Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases |
| title_full |
Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases |
| title_fullStr |
Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases |
| title_full_unstemmed |
Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases |
| title_sort |
Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases |
| dc.creator.none.fl_str_mv |
Taheri, Shirin González, Mikel Alexander Ruiz-López, María José Magallanes, Sergio Delacour-Estrella, Sarah Lucientes, Javier Bueno-Marí, Rubén Martínez-de la Puente, Josué Bravo-Barriga, Daniel Frontera, Eva Polina, Alejandro Martinez-Barciela, Yasmina Pereira, José Manuel Garrido, Josefina Aranda, Carles Marzal, Alfonso Ruiz-Arrondo, Ignacio Oteo, José Antonio Ferraguti, Martina Gutíerrez-López, Rafael Estrada, Rosa Miranda, Miguel Ángel Barceló, Carlos Morchón, Rodrigo Montalvo, Tomas Gangoso, Laura Goiri, Fátima García-Pérez, Ana L. Ruiz, Santiago Fernandez-Martinez, Beatriz Gómez-Barroso, Diana Figuerola, Jordi |
| author |
Taheri, Shirin |
| author_facet |
Taheri, Shirin González, Mikel Alexander Ruiz-López, María José Magallanes, Sergio Delacour-Estrella, Sarah Lucientes, Javier Bueno-Marí, Rubén Martínez-de la Puente, Josué Bravo-Barriga, Daniel Frontera, Eva Polina, Alejandro Martinez-Barciela, Yasmina Pereira, José Manuel Garrido, Josefina Aranda, Carles Marzal, Alfonso Ruiz-Arrondo, Ignacio Oteo, José Antonio Ferraguti, Martina Gutíerrez-López, Rafael Estrada, Rosa Miranda, Miguel Ángel Barceló, Carlos Morchón, Rodrigo Montalvo, Tomas Gangoso, Laura Goiri, Fátima García-Pérez, Ana L. Ruiz, Santiago Fernandez-Martinez, Beatriz Gómez-Barroso, Diana Figuerola, Jordi |
| author_role |
author |
| author2 |
González, Mikel Alexander Ruiz-López, María José Magallanes, Sergio Delacour-Estrella, Sarah Lucientes, Javier Bueno-Marí, Rubén Martínez-de la Puente, Josué Bravo-Barriga, Daniel Frontera, Eva Polina, Alejandro Martinez-Barciela, Yasmina Pereira, José Manuel Garrido, Josefina Aranda, Carles Marzal, Alfonso Ruiz-Arrondo, Ignacio Oteo, José Antonio Ferraguti, Martina Gutíerrez-López, Rafael Estrada, Rosa Miranda, Miguel Ángel Barceló, Carlos Morchón, Rodrigo Montalvo, Tomas Gangoso, Laura Goiri, Fátima García-Pérez, Ana L. Ruiz, Santiago Fernandez-Martinez, Beatriz Gómez-Barroso, Diana Figuerola, Jordi |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Producció Animal Sanitat Animal |
| dc.subject.none.fl_str_mv |
619 |
| topic |
619 |
| description |
Malaria 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 nonendemic 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. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12327/2974 https://doi.org/10.1080/22221751.2024.2343911 |
| url |
http://hdl.handle.net/20.500.12327/2974 https://doi.org/10.1080/22221751.2024.2343911 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Emerging Microbes & Infections EC/LifeWatch ERIC/LifeWatch-2019-09-CSIC-4/EU/Sustainability for Mediterranean Hotspots in Andalusia Integrating LifeWatch ERIC/SUMHAL ISCIII/Programa Estatal de I+D+I orientada a los retos de la sociedad/PLEC2021-007968/ES/Development of New Technologies to Track Emerging Infectious Threats in Wildlife and the Environment/NEXTHREAT MICINN/Programa Estatal para desarrollar, atraer y retener talento/RYC2021-031613-I/ES/ / MCIN/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I y Programa Estatal de I+D+I orientada a los retos de la sociedad/PID2020-118921RJ-I00/ES/ / FEDER/ / /EU/ / |
| dc.rights.none.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
11 |
| dc.publisher.none.fl_str_mv |
Taylor and Francis |
| publisher.none.fl_str_mv |
Taylor and Francis |
| dc.source.none.fl_str_mv |
reponame:Recercat. Dipósit de la Recerca de Catalunya instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
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Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| reponame_str |
Recercat. Dipósit de la Recerca de Catalunya |
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Recercat. Dipósit de la Recerca de Catalunya |
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|
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1869408967548993536 |
| spelling |
Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported casesTaheri, ShirinGonzález, Mikel AlexanderRuiz-López, María JoséMagallanes, SergioDelacour-Estrella, SarahLucientes, JavierBueno-Marí, RubénMartínez-de la Puente, JosuéBravo-Barriga, DanielFrontera, EvaPolina, AlejandroMartinez-Barciela, YasminaPereira, José ManuelGarrido, JosefinaAranda, CarlesMarzal, AlfonsoRuiz-Arrondo, IgnacioOteo, José AntonioFerraguti, MartinaGutíerrez-López, RafaelEstrada, RosaMiranda, Miguel ÁngelBarceló, CarlosMorchón, RodrigoMontalvo, TomasGangoso, LauraGoiri, FátimaGarcía-Pérez, Ana L.Ruiz, SantiagoFernandez-Martinez, BeatrizGómez-Barroso, DianaFiguerola, Jordi619Malaria 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 nonendemic 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.MCIN/AEI through the European Regional Development Fund (SUMHAL, LifeWatch-2019-09-CSIC-4, POPE 2014-2020) and PLEC2021-007968 project NEXTHREAT MCIN/AEI/10.13039/2011000110333 and European Union Next Generation EU/PRTR funds, CIBER Epidemiología y Salud Pública and La Caixa Foundation through the project ARBOPREVENT (HR22-00123). Part of the samples used for the analyses were provided from studies financed from projects IB16121 and IB16135 from the Extremadura Regional Government, from Ayudas Fundación BBVA a Equipos de Investigación Científica 2019 (PR (19_ECO_0070)). MF is currently funded by a Ramón y Cajal postdoctoral contract (RYC2021- 031613-I) from the Spanish Ministry of Science and Innovation (MICINN). M.J.R.L received support from the Agencia Estatal de Investigación (project PID2020-118921RJ-100 funded by MCIN/AEI/10.13039/501100011033). We thank the contribution of all professionals participating in the Spanish Surveillance System (RENAVE) and those collaboration with the entomological surveys.info:eu-repo/semantics/publishedVersionTaylor and FrancisProducció AnimalSanitat Animal2024info:eu-repo/semantics/article11http://hdl.handle.net/20.500.12327/2974https://doi.org/10.1080/22221751.2024.2343911reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésEmerging Microbes & InfectionsEC/LifeWatch ERIC/LifeWatch-2019-09-CSIC-4/EU/Sustainability for Mediterranean Hotspots in Andalusia Integrating LifeWatch ERIC/SUMHALISCIII/Programa Estatal de I+D+I orientada a los retos de la sociedad/PLEC2021-007968/ES/Development of New Technologies to Track Emerging Infectious Threats in Wildlife and the Environment/NEXTHREATMICINN/Programa Estatal para desarrollar, atraer y retener talento/RYC2021-031613-I/ES/ /MCIN/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I y Programa Estatal de I+D+I orientada a los retos de la sociedad/PID2020-118921RJ-I00/ES/ /FEDER/ / /EU/ /Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:20.500.12327/29742026-05-29T05:05:01Z |
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15,812455 |