“Internet-based news and Twitter feeds were faster than traditional sources at detecting the onset and progression of the cholera epidemic in post-earthquake Haiti …, according to a new study published in the January issue of the American Journal of Tropical Medicine and Hygiene (AJTMH),” an AJTMH press release states. “The study is the first to demonstrate the use of data from ‘informal’ media sources in monitoring an outbreak of a neglected tropical disease in a resource-limited setting, and shows that these sources can yield reliable decision-making data during deadly disease outbreaks almost in real-time, often far earlier than traditional surveillance methods that include surveys of hospitals and health clinics,” the press release adds (1/9).

“The authors used HealthMap, an automated surveillance platform, to measure the volume of news media generated during the first 100 days of the outbreak, and they also looked at the number of ‘cholera’ posts on Twitter,” SciDev.Net writes, noting, “They found that, as the official number of cases increased and decreased, so did the volume of informal media reports about cholera” (Hirschfeld, 1/9). “The information matched official results in certain places and generally followed the same trends. But unlike the officially issued information, this data could be collected immediately — and could have been available up to two weeks faster,” according to Scientific American (Graber, 1/9).

The KFF Daily Global Health Policy Report summarized news and information on global health policy from hundreds of sources, from May 2009 through December 2020. All summaries are archived and available via search.

KFF Headquarters: 185 Berry St., Suite 2000, San Francisco, CA 94107 | Phone 650-854-9400
Washington Offices and Barbara Jordan Conference Center: 1330 G Street, NW, Washington, DC 20005 | Phone 202-347-5270

www.kff.org | Email Alerts: kff.org/email | facebook.com/KFF | twitter.com/kff

The independent source for health policy research, polling, and news, KFF is a nonprofit organization based in San Francisco, California.