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State of World Population 2015: Shelter from the Storm - A Transformative Agenda for Women and Girls in a Crisis-Prone World
Abstract
Natural disasters and conflicts jeopardize the health of millions of women and adolescent girls every year. While remarkable progress has been achieved during the past decade protecting the health and rights of women and adolescent girls in humanitarian settings, the growth in need has outstripped the growth in funding and services. Yet, these services are of critical importance, especially for very young adolescent girls, who are the most vulnerable and least able to confront the many challenges they face, even in stable times. The State of World Population 2015 describes the impact of crises on women and girls and proposes a transformative agenda for the future.
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Cited by
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The global impacts of domestic dogs on threatened vertebrates
Doherty, T. S., Dickman, C. R., Glen, A. S., Newsome, T. M., Nimmo, D. G., Ritchie, E. G., Vanak, A. T., & Wirsing, A. J. (2017) · Biological Conservation · doi:10.1016/j.biocon.2017.04.007 · Cited by 351
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Smart city and quality of life: Citizens’ perception in a Brazilian case study
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Metadata
- Authors
- Fund, U. N. P.
- Venue
- State of World Population
- Publisher
- UN
- Published
- 2015-12-18
- ISSN
- 1020-5195 (ISSN-L)
- 1564-8567
- OpenAlex
- W4242801861
- Cited by
- 550
- References
- 0
- FWCI
- 110.30
- Type
- book
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: State of World Population 2015: Shelter from the Storm - A Transformative Agenda for Women and Girls in a Crisis-Prone World. https://app.cochat.ai/papers/10.18356/b793d926-en
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- Fund, U. N. P. (2015). State of World Population 2015: Shelter from the Storm - A Transformative Agenda for Women and Girls in a Crisis-Prone World. State of World Population. https://doi.org/10.18356/b793d926-en
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
