1.Challenges of identifying children with Cystic Fibrosis to explore inequalities in social and health outcomes, using multiply linked data sources.

作　　者：Rowena Griffiths ;Ashley Akbari ;Daniela Schlueter 等

出　　处：International Journal of Population Data Science. 2018 ;3(4):1-1.doi:10.23889/ijpds.v3i4.701

出版社：

文章 ID：255133429

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2.Improving the quality of care pathways for sarcoma patients and the advantages of using WCISU’s (Welsh Cancer Intelligence Surveillance Unit) national cancer registry

作　　者：Rowena Griffiths ;Ashley Akbari ;Dyfed Huws 等

出　　处：International Journal of Population Data Science. 2018 ;3(4):1-1.doi:10.23889/ijpds.v3i4.773

出版社：

文章 ID：255133512

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3.Identifying children with Cystic Fibrosis in population-scale routinely collected data in Wales

作　　者：Rowena Griffiths ;Daniela K Schlüter ;Ashley Akbari 等

出　　处：International Journal of Population Data Science. 2020 ;5(1):1-9.doi:10.23889/ijpds.v5i1.1346

出版社：

文章 ID：255133526

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4.Frailty assessed by administrative tools and mortality in patients with pneumonia admitted to the hospital and ICU in Wales

作　　者：Tamas Szakmany ;Joe Hollinghurst ;Richard Pugh 等

出　　处：Scientific Reports. 2021 ;11.doi:10.1038/s41598-021-92874-w

出版社：Springer Nature

文章 ID：1032834483

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5.Using population-scale medication data to evaluate the impact of the COVID-19 pandemic on the usage of analgesics by cancer patients.

作　　者：Jun Han ;Ashley Akbari ;Fatemeh Torabi 等

出　　处：International Journal of Population Data Science. 2022 ;7(3).doi:10.23889/ijpds.v7i3.2108

出版社：Swansea University

文章 ID：1039063545

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6.Validating the QCOVID risk prediction algorithm for risk of mortality from COVID-19 in the adult population in Wales, UK

作　　者：Jane Lyons ;Vahé Nafilyan ;Ashley Akbari 等

出　　处：International Journal of Population Data Science. 2022 ;5(4).doi:10.23889/ijpds.v5i4.1697

出版社：Swansea University

文章 ID：1037002223

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7.Impact of COVID-19 pandemic on community medication dispensing: a national cohort analysis in Wales, UK

作　　者：Fatemeh Torabi ;Ashley Akbari ;Laura North 等

出　　处：International Journal of Population Data Science. 2022 ;5(4).doi:10.23889/ijpds.v5i4.1715

出版社：Swansea University

文章 ID：1037837520

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	有全文链接	4篇
	有本地全文	3篇

	Ashley Akbari	7篇
	Rowena Griffiths	7篇
	Fatemeh Torabi	3篇
	Jane Lyons	3篇
	Ronan Lyons	3篇

	David Taylor-Robinson	2篇
	David Tucker	2篇
	Gareth Davies	2篇
	Joe Hollinghurst	2篇
	Laura North	2篇
	Martin Rolles	2篇
	Andrew Morris	1篇
	Aziz Sheikh	1篇
	Catherine Arnold	1篇
	Daniel Harris	1篇
	Daniela K Schlüter	1篇
	Daniela Schlueter	1篇
	Dyfed Huws	1篇
	Dyfed Wyn Huws	1篇
	Ewen Harrison	1篇
	Hoda Abbasizanjani	1篇
	Johanne Vass	1篇
	Julia Hippisley-Cox	1篇
	Julian Halcox	1篇
	Jun Han	1篇
	Kamlesh Khunti	1篇
	Mark Lawler	1篇
	Mike Gravenor	1篇
	Neil Jenkins	1篇
	Rebecca Cosgriff	1篇
	Richard Pugh	1篇
	Ronan A Lyons	1篇
	Ronan A. Lyons	1篇
	Rowena Bailey	1篇
	Stuart Bedston	1篇
	Tamas Szakmany	1篇
	Vahé Nafilyan	1篇

	经济学	6篇
	自然科学总论	1篇

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	International Journal of Population Data Science	6篇
	Scientific Reports	1篇

	2022	3篇
	2021	1篇
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