Female global health leadership: data-driven approaches to close the gender gap
- PMID: 30739680
- PMCID: PMC7391058
- DOI: 10.1016/S0140-6736(19)30203-X
Female global health leadership: data-driven approaches to close the gender gap
Conflict of interest statement
We declare no competing interests.
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References
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- HRH Global Resource Center. Resource spotlight: gender and health workforce statistics. https://www.hrhresourcecenter.org/gender_stats (accessed Feb 22, 2018).
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- Smith JA, Flower P, Larkin M. Interpretative phenomenological analysis: theory, method and research. London: SAGE Publications, 2009.
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