@article{fdi:010070085,
  title = {{T}echnological solutions for an effective health surveillance system for road traffic crashes in {B}urkina {F}aso},
  author = {{B}onnet, {E}mmanuel and {N}ikiema, {A}. and {T}raore, {Z}. and {S}idbega, {S}. and {R}idde, {V}al{\'e}ry},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {I}n the early 2000s, electronic surveillance systems began to be developed to collect and transmit data on infectious diseases in low-income countries ({LIC}s) in real-time using mobile technologies. {S}uch surveillance systems, however, are still very rare in {A}frica. {A}mong the non-infectious epidemics to be surveilled are road traffic injuries, which constitute major health events and are the fifth leading cause of mortality in {A}frica. {T}his situation also prevails in {B}urkina {F}aso, whose capital city, {O}uagadougou, is much afflicted by this burden. {T}here is no surveillance system, but there have been occasional surveys, and media reports of fatal crashes are numerous and increasing in frequency. {O}bjective: {T}he objective of this article is to present the methodology and implementation of, and quality of results produced by, a prototype of a road traffic crash and trauma surveillance system in the city of {O}uagadougou. {M}ethods: {A} surveillance system was deployed in partnership with the {N}ational {P}olice over a six-month period, from {F}ebruary to {J}uly 2015, across the entire city of {O}uagadougou. {D}ata were collected by all seven units of the city's {N}ational {P}olice road crash intervention service. {T}hey were equipped with geotracers that geolocalized the crash sites and sent their positions by {SMS} (short message service) to a surveillance platform developed using the open-source tool {U}shahidi. {D}escriptive statistical analyses and spatial analyses (kernel density) were subsequently performed on the data collected. {R}esults: {T}he process of data collection by police officers functioned well. {R}esearchers were able to validate the data collection on road crashes by comparing the number of entries in the platform against the number of reports completed by the crash intervention teams. {I}n total, 873 crash scenes were recorded over 3 months. {T}he system was accessible on the {I}nternet for open consultation of the map of crash sites. {C}rash-concentration analyses were produced that identified 'hot spots' in the city. {N}early 80% of crashes involved two-wheeled vehicles. {C}rashes were more numerous at night and during rush hours. {T}hey occurred primarily at intersections with traffic lights. {W}ith regard to health impacts, half of the injured were under the age of 29 years, and 6 persons were killed. {C}onclusions: {T}his pilot study demonstrated the feasibility of developing simple surveillance systems, based on m{H}ealth, in {LIC}s.},
  keywords = {{R}oad safety ; public health ; trauma ; injury ; system ; {BURKINA} {FASO}},
  booktitle = {},
  journal = {{G}lobal {H}ealth {A}ction},
  volume = {10},
  numero = {},
  pages = {art. 1295698 [10 ]},
  ISSN = {1654-9880},
  year = {2017},
  DOI = {10.1080/16549716.2017.1295698},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070085},
}