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Zhuang Pinghui

When Dong Ensheng, a first-year doctorate candidate in the department of civil and systems engineering at Johns Hopkins University, first learned that Covid-19 cases were emerging in China in early 2020, his thoughts quickly turned to his hometown, and his family.
Dong’s relatives lived in Shanxi province and his friends lived in the city of Wuhan, ground zero of what would become the Covid-19 pandemic.
Dong’s scientific mind began thinking about the situation. Then one day, after discussing the situation over a coffee with his professor, Lauren Gardner, Dong began to devise a system to track coronavirus cases.
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At the time, Dong had no idea that a project he had begun working on for his doctorate thesis would evolve into such a comprehensive and powerful public health resource over the course of the pandemic.
The tracking map Dong developed has since become known as the Johns Hopkins University Coronavirus Resource Centre – the JHU Covid-19 map. It has been a valuable tool used by governments to understand the development of the pandemic and how to tailor policies based on the data. The map had also helped the public understand the scale of the outbreaks, Dong said.
The Coronavirus Resource Centre has also been a source of information about other key trends, such as disparities in the rates of disease spread and health outcomes related to factors such as race, income and access to private health insurance.


Since the website’s launch, the dashboard has been viewed more than 3.6 billion times globally, according to the university.
The dashboard will stop updating on March 10.
“The world has never seen the real time change of a pandemic like watching a football game, which raised people’s attention to Covid-19 that it was not only a problem for one country or region, but the whole world and needs the whole world to be united to tackle it,” Dong said.
Other online dashboards were devised over the course of the pandemic, but the JHU’s – which featured visualised data on the numbers of infections, deaths, testing, contact tracing and vaccinations – stood out partly because of how quickly it updated.
“For about two years that ended in the middle of last year, our dashboard updated once every half an hour internally and the visualisation once every hour. The data is completely open on GitHub,” Dong said.


The first version, on January 22, 2020, took Dong just nine hours to launch. At the time, Dong was the only person collecting and inputting data. Fellow doctoral student Du Hongru would verify the data to ensure accuracy. Dong said he aimed to update the site three to four times a day, but he often provided up to six updates, working well after midnight.
Other people began to volunteer and soon the team had grown to more than 40 people. Eventually, the data collection became automated, allowing for more frequent updates with humans still overseeing the system in case there were errors.

Dong, who studied geographic science at Southwest University in Chongqing, China, and then geography and statistics for his master’s degrees at the University of Idaho, said his interest went beyond data, as he was in plotting it.
“If there are 100 cases in Beijing, I am more interested in representing them as dots in the map to visualise its distribution,” he said.
Dong and his team faced several challenges in constructing their map – they had to make it accessible for colour blind people, and they had to tackle the issue of inconsistency over different case definitions across many countries.
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In the United States, positive readings from quick antigen tests or PCR tests are counted as Covid-19 cases, but in China there are classifications for not only probable cases, but also confirmed cases and asymptomatic ones, which have yet to show symptoms. When asymptomatic patients begin showing symptoms, they are then counted as Covid-19 cases, requiring more calculations and updates for the dashboard.
While the resource centre announced last month that it would stop updating on March 10, the raw data will remain publicly accessible.
Dong said the decision to stop updating was based on less frequent updates by authorities. And since the arrival of Omicron, which caused waves of infections, more people had chosen to take rapid antigen tests and had not reported results, ultimately making the data less useful.
Many people had also felt the pandemic was already behind it, Dong said.
“It is good timing to put a stop to this.”


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How a Chinese researcher devised the world’s most cited Covid dashboard

Dong Ensheng was the force behind the Johns Hopkins Covid map, which will end updates on March 10. Photo: Linkedin

The Covid-19 dashboard created by Johns Hopkins University will stop updates this month after more than three years of service. Photo: Johns Hopkins University

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The number of flights between China and South Korea had been severely impacted due to coronavirus restrictions, having dropped from around 1,100 per week in 2019 to 62 last month. Photo: Reuters

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Dong Ensheng was the force behind the Johns Hopkins Covid map, which will end updates soon
The dashboard became a key tool for governments to understand the virus and find ways to fight back


Dong Ensheng was the force behind the Johns Hopkins Covid map, which will end updates on March 10.


How a Chinese researcher devised the world’s most cited Covid dashboard

.css-1mniedq{color:inherit;font-weight:inherit;font-size:inherit;font-family:inherit;line-height:inherit;}Dong Ensheng was the force behind the Johns Hopkins Covid map, which will end updates soon The dashboard became a key tool for governments to understand the virus and find ways to fight back

Dong Ensheng was the force behind the Johns Hopkins Covid map, which will end updates soon

The dashboard became a key tool for governments to understand the virus and find ways to fight back