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Cited by 389

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Addressing the Growing Burden of Trauma and Injury in Low- and Middle-Income Countries

Open access
Hofman, Karen, Primack, Aron, Keusch, Gerald, Hrynkow, Sharon·2005·American Journal of Public Health

Abstract

Low- and middle-income countries suffer disproportionately from reduced life expectancy and quality of life. Injuries are overlooked as contributors to global inequities in health, yet the long-term disabilities they frequently produce represent a significant burden. The Fogarty International Center of the National Institutes of Health convened a panel of experts in trauma and injury from the United States and low- and middle-income nations to identify research gaps in this area and opportunities to create new knowledge. Panel members identified sustainable programs of research established through stable linkages between institutions in high-income nations and those in low- and middle-income nations as a priority. The resulting benefits of addressing the growing burden of trauma and injury to communities in resource-constrained settings around the world would be substantial.

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Metadata

Authors
Hofman, K., Primack, A., Keusch, G., & Hrynkow, S.
Venue
American Journal of Public Health
Published
2005-01
Volume
95
Issue
1
Pages
13-17
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2060838702
Cited by
389
References
0
FWCI
10.44
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Addressing the Growing Burden of Trauma and Injury in Low- and Middle-Income Countries. https://app.cochat.ai/papers/10.2105/ajph.2004.039354
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Hofman, K., Primack, A., Keusch, G., & Hrynkow, S. (2005). Addressing the Growing Burden of Trauma and Injury in Low- and Middle-Income Countries. American Journal of Public Health. https://doi.org/10.2105/ajph.2004.039354

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.