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AC K N OW L E D G M E N T S This study was funded by projects: IB20089 from the Consejería de Economía, Ciencia y Agenda Digital of the Junta de Extremadura and Fondo Europeo de Desarrollo Regional, P11-RNM-7038 from Junta de Andalucía, and PR(19_ECO_0070) from Ayudas Fundación BBVA a Equipos de Investigación Científica 2019. MF was supported by a Juan de la Cierva 2017 Formación contract (FJCI-2017-34394) from the Ministry of Science, Innovation and Universities, by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie (grant agreement No 844285, ‘EpiEcoMod’) and she is currently funded by a Ramón y Cajal postdoctoral contract (RYC2021- 031613-I) from the Spanish Ministry of Science and Innovation (MICINN). JJP was supported by the Fundación Tatiana Pérez de Guzmán el Bueno. JMP was supported by ProyExcel_00049 financed by Proyectos I+D+i of Junta de Andalucía 2021. LGL was supported by Junta de Extremadura (IB20089, Post-Doc grant). JM was supported by a Juan de la Cierva - Formación contract (FJCI-2017-34109) from the Ministry of Science, Innovation and Universities, and he is currently supported by a postdoctoral researcher contract for scientific excellence under the Plan Propio de I+D+i of the Universidad de Castilla - La Mancha (UCLM), co-funded by the European Social Fund Plus (ESF+). LZG was supported by funds from the Hungary's National Research, Development and Innovation Office (K135841, RRF-2.3.1-21-2022- 00006). We also acknowledge the comments of four anonymous reviewers who improved the final version of this manuscript., DATA AVA I L A B I L I T Y S TAT E M E N T Data supporting the conclusions of this study are available in the supplementary material to this article. Any further details are available from the corresponding author on reasonable request., Aim The increasing spread of vector-borne diseases has resulted in severe health concerns for humans, domestic animals and wildlife, with changes in land use and the introduction of invasive species being among the main possible causes for this increase. We explored several ecological drivers potentially affecting the local prevalence and richness of avian malaria parasite lineages in native and introduced house sparrows (Passer domesticus) populations. Location Global. Time period 2002–2019. Major taxa studied Avian Plasmodium parasites in house sparrows. Methods We analysed data from 2,220 samples from 69 localities across all continents, except Antarctica. The influence of environment (urbanization index and human density), geography (altitude, latitude, hemisphere) and time (bird breeding season and years since introduction) were analysed using generalized additive mixed models (GAMMs) and random forests. Results Overall, 670 sparrows (30.2%) were infected with 22 Plasmodium lineages. In native populations, parasite prevalence was positively related to urbanization index, with the highest prevalence values in areas with intermediate urbanization levels. Likewise, in introduced populations, prevalence was positively associated with urbanization index; however, higher infection occurred in areas with either extreme high or low levels of urbanization. In introduced populations, the number of parasite lineages increased with altitude and with the years elapsed since the establishment of sparrows in a new locality. Here, after a decline in the number of parasite lineages in the first 30 years, an increase from 40 years onwards was detected. Main conclusions Urbanization was related to parasite prevalence in both native and introduced bird populations. In invaded areas, altitude and time since bird introduction were related to the number of Plasmodium lineages found to be infecting sparrows., Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía, Grant/Award Number: P11-RNM-7038, Fundación BBVA, Grant/Award Number: PR(19_ECO_0070, Junta de Extremadura, Grant/Award Number: IB20089 and PO17024, Marie Sklodowska- Curie Actions, Grant/Award Number: 844285, Ministerio de Ciencia, Innovación y Universidades, Grant/Award Number: FJCI-2017-34109 and FJCI-2017-34394, Proyectos I+D+i of Junta de Andalucía 2021, Grant/Award Number: ProyExcel_00049, Universidad de Castilla- La Mancha

Additional file 1: Table S1. Results of the generalized linear model.