When severe acute respiratory syndrome or SARS struck southern China in 2002-2003, Chinese officials were criticized for waiting too long to alert proper authorities of the outbreak and delaying efforts to bring the deadly virus under control. This time around, as the world watches – and worries about ‑ a new respiratory virus known as nCOV2019 emerging in China, many are praising China’s scientific community for sharing information about the virus as soon as it becomes available.
Yale School of Public Health Assistant Professor of Epidemiology (Microbial Diseases) Nathan Grubaugh is watching the events unfolding in China closely. Grubaugh specializes in a field known as virus genomics, which Chinese health officials are using to determine the origins of nCOV2019 and how it is being spread. Grubaugh is, in many ways, a virus detective, using bits of DNA and molecular evidence to track down the origins, evolution and transmission of viruses like West Nile, Zika, chikungunya and Powassan throughout the world. He recently shared his thoughts about the new virus, the importance of rapid data sharing and virus genomics in epidemiology, and how nCOV2019 is playing out differently than SARS.
Q: How is virus genomics changing epidemiology today in terms of helping identify and track emerging pathogens?
Virus genome sequencing is transforming epidemiological investigations, as we are seeing in real-time with the nCOV2019 outbreak. Sequencing provides a platform to rapidly identify unknown or unexpected pathogens, identify the origins of an outbreak, and track transmission patterns. Much of this information would either remain unknown or take months to complete using traditional epidemiological or laboratory approaches.
Q: How has rapid data sharing, including sharing of the nCOV2019 virus’ genomes, helped advance the investigation into the nCOV2019 outbreak?
Two weeks ago, we didn't even know what the nCOV2019 virus was. Today, thanks to China’s quick public release of the initial nCOV2019 virus genome, there are now 18 genomes connected to nCOV2019 that are being shared and studied by scientists around the world. By rapidly sharing this data, scientists were able to quickly identify nCOV2019 as a novel coronavirus related to those previously found in bats. It is about 80% similar to SARS coronavirus, but it is distinctly not SARS. More importantly, with this information, the international community has been able to test and validate several diagnostic assays that could help identify patients with the virus more quickly. To go from unknown pathogen to diagnostic tests so quickly is incredible! The scientists at the Fudan University, China CDC, Chinese Academy of Medical Sciences, Chinese Academy of Sciences, Zhejiang Provincial CDC, and the Thai National Institute of Health should be highly praised for making their data rapidly available to the public.