What’s new: Dozens of countries have rolled out automated contact tracing apps, but a new study confirms what experts already knew: they can’t beat the pandemic on their own. According to a new systematic review of 15 published studies, the technology still requires manual contact tracing, social distancing, and mass testing in order to be effective.
The new research, from University College London, reinforces what technologists and epidemiologists (and we) have been saying ever since the pandemic first reared its ugly head: Digital tools can only be a complement—not a replacement —for the very human work required to beat covid-19.
Concerted effort: Many governments have launched their own apps to track covid-19 exposure, as documented by the MIT Technology Review Covid Tracing Tracker project. But there are still many questions about how effective it can be. UCL’s Robert Aldridge urged further research on the effectiveness of smartphone contact tracing and bemoaned the lack of science on the now-crucial subject: “We urgently need to study this evidence gap and examine how automated approaches can be integrated with existing contact tracing and disease control strategies, and generate evidence on whether these new digital approaches are cost-effective and equitable.”
Expert view: Early interpretations of digital tracing efforts, particularly from the media, suggested they could dominate the battle against the disease. But even the scientists behind some of the most optimistic numbers have tried to explain how their research has been misinterpreted. The new paper drives home several points that have been made before but which have similarly failed to penetrate the global discussion. The bottom line? Digital apps can help—some countries consider their apps to be successes right now—but they’re just one piece of the puzzle. There remains a whole lot of research that must be done to understand and improve the digital arsenal for both this pandemic and the next.