Mid Sweden University

miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Economics of global burden of road traffic injuries and their relationship with health system variables
2013 (English)In: International Journal of Preventive Medicine, ISSN 2008-7802, E-ISSN 2008-8213, Vol. 4, no 12, p. 1442-1450Article in journal (Refereed) Published
Abstract [en]

Background: To estimate the economic loss due to road traffic injuries (RTIs) of the World Health Organization (WHO) member countries and to explore the relationship between the economic loss and relevant health system factors. Methods: Data from the World Bank and the WHO were applied to set up the databases. Disability-adjusted life year (DALY) and gross domestic product per capita were used to estimate the economic loss relating to RTIs. Regression analysis was used. Data were analyzed by IBM SPSS Statistics, Versions 20.0. Results: In 2005, the total economic loss of RTIs was estimated to be 167,752.4 million United States Dollars. High income countries (HIC) showed the greatest economic losses. The majority (96%) of the top 25 countries with the greatest DALY losses are low and middle income countries while 48% of the top 25 countries with the highest economic losses are HIC. The linear regression model indicates an inverse relationship between nurse density in the health system and economic loss due to RTI. Conclusions: RTIs cause enormous death and DALYs loss in low-middle income countries and enormous economic loss in HIC. More road traffic prevention programs should be promoted in these areas to reduce both incidence and economic burden of RTIs.

Place, publisher, year, edition, pages
2013. Vol. 4, no 12, p. 1442-1450
Keywords [en]
article; China; death; disability; economics; gross national product; health care cost; health care system; hospital bed; human; Moldova; motor vehicle; Nepal; nurse; physician; scoring system; traffic accident; United States
Identifiers
URN: urn:nbn:se:miun:diva-39825Scopus ID: 2-s2.0-84890824696OAI: oai:DiVA.org:miun-39825DiVA, id: diva2:1467106
Available from: 2020-09-14 Created: 2020-09-14 Last updated: 2022-02-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Scopus

Authority records

Dalal, Koustuv

Search in DiVA

By author/editor
Dalal, Koustuv
In the same journal
International Journal of Preventive Medicine

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 41 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf