Research published in IntJEmergMed reports Twitter and other digital social media platforms can provide a novel source for road traffic incident and injury data in a low- and middle-income country.
Twitter reports included information about the number of vehicles involved in each incident, revealing that single vehicle incidents were most common . There were 1278 tweets that contained information about the casualties from an incident. Of the tweets reporting types of casualties, 441 involved at least one vulnerable road user. Additionally, a total of 510 tweets reported known human injuries, with a cumulative total of 2043 injuries identified during the data collection period.
Available data from the Kenyan National Transport and Safety Authority indicate higher numbers of fatalities from road traffic incidents than was identified through this dataset []. This analysis, with a lower fatality calculation, is somewhat expected given that information gleaned from Twitter presumably only contains information reported from the scene and does not follow up hospital or longer-term morbidity/mortality.
Previous analysis of a single Kenyan Twitter user was focused on geospatial analysis of road traffic incidents and showed significant clustering of incidents at several high risk locations and intersections []. This Twitter user is frequently found in the @TIPSIKenya feed.
Twitter can provide a novel method for identification and collation of road traffic incidents in Kenya and other LMICs. The data collected allows for the identification of local and national trends and provides the potential opportunities to advocate for improved roadways and health systems for the emergent care from road traffic incidents and associated traumatic injuries.
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