1.The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009–2013)

作　　者：Rita Roquette ;Baltazar Nunes ;Marco Painho

出　　处：Population Health Metrics. 2018 ;16(1):6.doi:10.1186/s12963-018-0164-6

出版社：BioMed Central

文章 ID：213570298

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2.Combining self-reported and objectively measured survey data to improve hypertension prevalence estimates: Portuguese experience

作　　者：Irina Kislaya ;Andreia Leite ;Julian Perelman 等

出　　处：Archives of Public Health. 2021 ;79(1):1-9.doi:10.1186/s13690-021-00562-y

出版社：BioMed Central

文章 ID：262519902

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3.Mortality risk attributable to wildfire-related PM 2·5 pollution: a global time series study in 749 locations

作　　者：Gongbo Chen ;Yuming Guo ;Xu Yue 等

出　　处：The Lancet Planetary Health. 2021 ;5(9):e579-e587.doi:10.1016/S2542-5196(21)00200-X

出版社：Elsevier

文章 ID：1035327519

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4.Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study

作　　者：Qi Zhao ;Yuming Guo ;Tingting Ye 等

出　　处：The Lancet Planetary Health. 2021 ;5(7):e415-e425.doi:10.1016/S2542-5196(21)00081-4

出版社：Elsevier

文章 ID：1032555462

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5.Global, regional, and national burden of mortality associated with short-term temperature variability from 2000–19: a three-stage modelling study

作　　者：Yao Wu ;Shanshan Li ;Qi Zhao 等

出　　处：The Lancet Planetary Health. 2022 ;6(5):e410-e421.doi:10.1016/S2542-5196(22)00073-0

出版社：Elsevier

文章 ID：1037460694

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