Stories about: Maia Majumder

Plugging gaps in Zika surveillance with online news reports

Zika surveillance
Zika virus disease reports as of May 31, 2016 (click to enlarge)

As the Zika epidemic continues to unfold, most affected countries are flying blind: they have limited government disease surveillance systems in place to track new cases. That leaves public health officials unable to estimate how fast Zika is spreading, where the hotspots are and when the outbreak will peak — much less contain it and prepare for cases of microcephaly and Guillain-Barré syndrome, both now presumed to be caused by the Zika virus.

“One of the things we really struggled with in the early days of Zika was a lack of official data sources,” says research fellow Maia Majumder, MPH, of the Computational Epidemiology Group at Boston Children’s Hospital. “Surveillance has been really lagging. When we don’t know how many cases there are day to day, week to week, it’s really hard to characterize how bad an outbreak is.”

A study this week led by Majumder suggests a readily available data source for estimating actual case counts on the ground: online local news reports, adjusted using data from Google search trends.

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