Local mortality impacts due to future air pollution under climate change scenarios

We thank Samir KC for data and technical assistance related to population projections according to SSP and Rita van Dingenen for providing access to the TM5-FASST model. JS is now affiliated with Pacific Northwest National Laboratory, Joint Global Change Research Institute, USA. Funding for this wor...

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Detalles Bibliográficos
Autores: Ingole, V., Dimitrova, A., Sampedro, J., Sacoor, C., Acacio, S., Juvekar, S., Roy, S., Basagaña, X., Moraga, P., Ballester, J., Antó, J. M., Tonne, C.
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/62286
Acceso en línea:http://hdl.handle.net/10810/62286
Access Level:acceso abierto
Palabra clave:Air pollution
Climate change mitigation
Health and Demographic Surveillance Systems
Mortality
Shared socioeconomic pathways
Descripción
Sumario:We thank Samir KC for data and technical assistance related to population projections according to SSP and Rita van Dingenen for providing access to the TM5-FASST model. JS is now affiliated with Pacific Northwest National Laboratory, Joint Global Change Research Institute, USA. Funding for this work was provided by the European Commission H2020 GLOBE [822654]. CT was funded through a Ram?n y Cajal fellowship [RYC-2015?17402] awarded by the Spanish Ministry of Economy and Competitiveness. VI, AD, XB, JB, JMA, CT acknowledge support from the Spanish State Research Agency and Ministry of Science and Innovation through the Centro de Excelencia Severo Ochoa 2019?2023 Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program. Funding for this work was provided by the European Commission H2020 GLOBE [ 822654 ]. CT was funded through a Ramón y Cajal fellowship [RYC-2015–17402] awarded by the Spanish Ministry of Economy and Competitiveness. VI, AD, XB, JB, JMA, CT acknowledge support from the Spanish State Research Agency and Ministry of Science and Innovation through the Centro de Excelencia Severo Ochoa 2019–2023 Program ( CEX2018-000806-S ), and support from the Generalitat de Catalunya through the CERCA Program.

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