Dramatic spikes in auto traffic around major hospitals in Wuhan last fall suggest the novel coronavirus may have been present and spreading through central China long before the outbreak was first reported to the world, according to a new Harvard Medical School study.
Using techniques similar to those employed by intelligence agencies, the research team behind the study analyzed commercial satellite imagery and “observed a dramatic increase in hospital traffic outside five major Wuhan hospitals beginning late summer and early fall 2019,” according to Dr. John Brownstein, the Harvard Medical professor who led the research.
Brownstein, an ABC News contributor, said the traffic increase also “coincided with” elevated queries on a Chinese internet search for “certain symptoms that would later be determined as closely associated with the novel coronavirus.”
Though Brownstein acknowledged the evidence is circumstantial, he said the study makes for an important new data point in the mystery of COVID-19’s origins.
“Something was happening in October,” said Brownstein, the chief innovation officer at Boston Children’s Hospital and director of the medical center’s Computational Epidemiology Lab. “Clearly, there was some level of social disruption taking place well before what was previously identified as the start of the novel coronavirus pandemic.”
Since the outbreak in China last year, the coronavirus has swept across the globe infecting nearly 7 million and killing more than 400,000 worldwide, according to a count by Johns Hopkins University. It is believed that the virus jumped from animal species, where it had little effect, to humans, where it has become the most potent natural killer since the Spanish flu pandemic a century ago.
Though Chinese officials would not formally notify the World Health Organization until Dec. 31 that a new respiratory pathogen was coursing through Wuhan, U.S. intelligence caught wind of a problem as early as late November and notified the Pentagon, according to four sources briefed on the confidential information.
Because the origin of a novel virus is so hard to pin down but so critically important for scientists to understand, experts around the world are racing to uncover the secrets of the pathogen formally known as SARS-CoV2. The task for researchers is made far more complicated by the Chinese government’s refusal to fully cooperate with Western and international health authorities, American and WHO officials have said.
Brownstein and his team, which included researchers from Boston University and Boston Children’s Hospital, have spent more than a month trying to pin down the signs for when the population of Hubei province in China first started to be stricken.
The logic of Brownstein’s research project was straightforward: respiratory diseases lead to very specific types of behavior in communities where they’re spreading. So, pictures that show those patterns of behavior could help explain what was happening even if the people who were sickened did not realize the broader problem at the time.
“What we’re trying to do is look at the activity, how busy a hospital is,” Brownstein said. “And the way we do that is by counting the cars that are at that hospital. Parking lots will get full as a hospital gets busy. So more cars in a hospital, the hospital’s busier, likely because something’s happening in the community, an infection is growing and people have to see a doctor. So you see the increases in the hospital business through the cars… We saw this across multiple institutions.”
The picture painted by the data is not in itself conclusive, Brownstein acknowledged, but he said the numbers are telling.
“This is all about a growing body of information pointing to something taking place in Wuhan at the time,” Brownstein said. “Many studies are still needed to fully uncover what took place and for people to really learn about how these disease outbreaks unfold and emerge in populations. So this is just another point of evidence.”
Disease ecologist Peter Daszak, president of the nonprofit EcoHealth Alliance in Manhattan, said the Harvard study “is absolutely fascinating.”
“You need to look at every possible bit of evidence, where it came from and when it emerged,” said Daszak, whose organization works to understand the origin of emerging diseases. “When we do analysis after outbreaks, we find that the diseases had been in circulation days, weeks, months, years before. I really believe that’s what we’re going to find with COVID-19.”
David Perlin, chief science officer at the Center for Discovery and Innovation in New Jersey, said he was intrigued by Brownstein’s research, though he wasn’t totally convinced.
“I think some of the methods are questionable and their interpretation is slightly over-interpreted,” Perlin said. “The problem is we only have a subset of data here. I always worry when people start drawing inferences from data subsets, cherry-picking data [like the internet searches]. It’s suggestive.”
Photographs taken from space suggests a crisis below
Starting with nearly 350 images captured by private satellites circling the globe, Brownstein’s study first examined traffic and parking outside major hospitals in Wuhan for the past two years. Among them were photographs snapped from space approximately every week or every other week through the fall of 2019. From the approximately 350 frames, researchers found 108 usable images, showing locations without obstruction from smog, tall buildings, clouds or other features that could complicate satellite analysis.
“It has to be right at noon,” Brownstein said, “because you basically want direct sunlight. You don’t want shadows to prevent our ability to count the cars.”
On Oct. 10, 2018, there were 171 cars in the parking lot of Wuhan’s Tianyou Hospital, one of the city’s largest. A year later, satellites recorded 285 cars — a 67% increase, according to the data reviewed by the researchers and shared with ABC News.
Other hospitals showed up to a 90% increase when comparing traffic between fall of 2018 and 2019, according to the study. At Wuhan Tongji Medical University, the spike in car traffic was found to have occurred in mid-September 2019.
To ensure they were not reaching faulty conclusions, researchers said they took into account everything that could explain away traffic surges — from large public gatherings to the possibility of new construction at the hospitals. Still, they said they found statistically significant increases in the numbers of cars present.
“If you look at all of the images, observations we’ve ever had of all of these locations since 2018, almost all of the highest car counts are all in the September through December 2019 time frame,” said Tom Diamond, president of RS Metrics, which worked with the Brownstein research team.
As an initial “validation” of their methodology of extrapolating information about movement through the review of satellite images, researchers said they compared parking lot activity at the Huanan Seafood Market in mid-September, when the market was busy, and after the market was shut down by authorities after reports emerged that the wet market may have been ground zero for the novel coronavirus outbreak. They said they found a marked change. “The images validate the concept that activity and movement is shown through the lens of these sort of parking lots,” said Brownstein.
The study has been submitted to the journal Nature Digital Medicine and is under peer review. It is scheduled to be posted Monday morning on “Dash,” Harvard’s preprint server for medical papers.
On Monday morning the website for “Dash” suffered a temporary outage. A spokesperson for Harvard Medical School told ABC News they were investigating the incident.
In conducting the project, RS Metrics, an intelligence-analysis firm that analyzes satellite imagery for corporate clients, employed techniques designed to identify and monitor changes in the patterns of life and business.
It’s similar to work done by analysts at the Central Intelligence Agency and the Defense Intelligence Agency, who pore over images each day to try to figure out what is happening on the ground – especially in places where governments restrict the flow of people and news.
Diamond told ABC News the Wuhan region was clearly experiencing a widespread health problem in the months before China’s government acknowledged publicly that a contagion was coursing through the densely populated city. That announcement came on New Year’s Eve when the Wuhan Municipal Health Commission, China reported a “cluster” of pneumonia cases in its city.
“At all the larger hospitals in Wuhan, we measured the highest traffic we’ve seen in over two years during the September through December 2019 time frame,” Diamond said. “Our company is used to measuring tiny changes, like 2% to 3% growth in a Cabella’s or Wal-Mart parking lot. That was not the case here. Here, there is a very clear trend.”
Former acting Homeland Security Undersecretary John Cohen, who oversaw DHS intelligence operations during the Obama administration, said the new research suggests that COVID-19, which has already killed more than 110,000 Americans, was likely brought to the U.S. by travelers from Wuhan long before it was detected.
“This study raises serious questions about whether the coronavirus was first introduced into the United States earlier than previously reported and whether measures announced in late January restricting travel from China were too little too late,” said Cohen, now an ABC News contributor.
Satellite images suggesting a change in life patterns in Wuhan were also a key factor in classified early U.S. intelligence reporting.
In April, ABC News reported that the National Center for Medical Intelligence (NCMI) received word in late November that a contagion was sweeping through Wuhan, changing the patterns of life and business and posing a threat to the population. Sources familiar with the reports said NCMI, a component of the military’s Defense Intelligence Agency, based the analysis on wire and computer intercepts coupled with satellite images similar to those used by Brownstein’s team.
After that story was broadcast, the NCMI’s director issued a statement, denying that a formal “product/assessment” was generated in November. The statement did not address preliminary intelligence reports. When contacted Friday with the results of the new Harvard study, the Pentagon’s chief spokesman, Jonathan Hoffman, said he had “nothing to add.”
The Office of the Director of National Intelligence declined to comment.
In response to questions about the new Harvard Medical study, the State Department Sunday again criticized the government in Beijing for withholding from the world community critical public health information.
“The Chinese government’s cover up of initial reporting on the virus is just one more example of the challenges presented by the Chinese Communist Party’s hostility toward transparency,” a State Department spokesperson told ABC News. “The Chinese government has a responsibility to share information on the virus and support countries as the world responds to COVID-19.”
In March, the Hong Kong-based South China Morning Post newspaper, citing Chinese government data, reported that the first case of COVID-19 could be traced back to November 17, 2019. In recent days, Chinese health officials have told local media that the virus likely was spreading before they realized, though they have offered no details.
ABC News sought comment on the new study from the hospitals in Wuhan that were analyzed, the local public health agency and the Chinese embassy in Washington. The only response received by the network came from the Chinese embassy, where officials pointed to a white paper released Sunday the China State Council.
“The novel coronavirus is a previously unknown virus,” the report documents. “Determining its origin is a scientific issue that requires research by scientists and doctors. The conclusion must be based on facts and evidence.”
The council also defended the Chinese government’s response, writing, “China has also acted with a keen sense of responsibility to humanity, its people, posterity, and the international community.”
On the ground, internet searches for symptoms associated with COVID
Brownstein said he and his researchers found the hospital-traffic data to be even more compelling after digging into internet search patterns. Around the time the hospital traffic was surging, there was a spike in online traffic in the Wuhan region among users asking China’s Baidu search engine for information on “cough” and “diarrhea.”
“While queries of the respiratory symptom ‘cough’ show seasonal fluctuations coinciding with yearly influenza seasons, ‘diarrhea’ is a more COVID-19-specific symptom and only shows an association with the current epidemic,” according to the study. “The increase of both signals precede the documented start of the COVID-19 pandemic in December.”
“We’ve done previous studies where we could show that what people search for online is an indicator of disease in the population,” Brownstein said. “And we actually saw people searching for symptoms that might be related to COVID: diarrheal disease, cough. That was even starting as early as late summer.
“Now, we can’t confirm 100% what the virus was that was causing this illness and what was causing this business in hospitals,” Brownstein said. “But something was going on that looked very different than any other time that we had looked at.”
Brownstein and his research team used satellite imagery in 2015 to investigate how health care systems could predict outbreaks of influenza-like illnesses as they occur.
“We previously validated this method of indirectly measuring disease activity by monitoring hospital parking lot usage in Chile, Argentina and Mexico,” said researcher Elaine Nsoesie, a global health professor at Boston University who worked with Brownstein on both projects. “Using the data, we were able to forecast trends in influenza-like illnesses over several years.”
For that study, the scientists reviewed nearly 3,000 satellite images from 2010 to 2013, again, measuring car traffic at hospitals. They concluded that traffic spikes coincide with an outbreak of influenza-like illness, so public health officials could use parking-lot data to help them prepare for something that could strain medical facilities.
“We are in need of new and innovative methods for predicting disease,” said epidemiology professor Anne Rimoin, the director of the Center for Global and Immigrant Health at UCLA, who was not connected with the research effort. “In this specific case, data on events such as increases in hospital traffic could serve as early indicators of social disruption resulting from disease. High-resolution satellite imagery can be extremely useful for understanding disease spread and implementation of control measures.”
Karson Yiu, Conor Finnegan, Luis Martinez and James Gordon Meek contributed to this report.
