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Peer-reviewedCC BY-NC 4.0BMJ Open

Estimating the economic burden of ischaemic stroke in China from 2022 to 2030: a population-based modelling study

  • Lu Han1
  • Dejian Kou1
  • Jialong Tan1
  • Wei Shao1
  • Fengyi Sun1
  • Xinru Han1
  • Elizabeth Maitland2
  • Stephen Nicholas3,4
  • Jian Wang1,5
5 affiliations
  1. 1Dong Fureng Institute of Economic and Social Development, Wuhan University, Wuhan, Hubei, China
  2. 2University of Liverpool, Liverpool, UK
  3. 3Newcastle Business School, The University of Newcastle, Newcastle, New South Wales, Australia
  4. 4Australian National Institute of Management and Commerce, Sydney, New South Wales, Australia
  5. 5Center for Health Economics and Management, Wuhan University School of Economics and Management, Wuhan, China
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@article{han2026estimating,
  title = {{Estimating the economic burden of ischaemic stroke in China from 2022 to 2030: a population-based modelling study}},
  author = {Lu Han and Dejian Kou and Jialong Tan and Wei Shao and Fengyi Sun and Xinru Han and Elizabeth Maitland and Stephen Nicholas and Jian Wang},
  journal = {BMJ Open},
  year = {2026},
  month = oct,
  doi = {10.1136/bmjopen-2026-120070},
  url = {https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2026-120070},
  note = {CC BY-NC 4.0},
}
RIS
TY  - JOUR
TI  - Estimating the economic burden of ischaemic stroke in China from 2022 to 2030: a population-based modelling study
AU  - Lu Han
AU  - Dejian Kou
AU  - Jialong Tan
AU  - Wei Shao
AU  - Fengyi Sun
AU  - Xinru Han
AU  - Elizabeth Maitland
AU  - Stephen Nicholas
AU  - Jian Wang
PY  - 2026
DA  - 2026/10/09
JO  - BMJ Open
DO  - 10.1136/bmjopen-2026-120070
UR  - https://bmjopen.bmj.com/lookup/doi/10.1136/bmjopen-2026-120070
SN  - 2044-6055
SN  - 2044-6055
ER  -