Study: No evidence of manipulation of Chinese Covid-19 data


In this Feb 13, 2020, photo, a doctor checks the conditioN of a patient in Jinyintan Hospital, designated for critical Covid-19 patients, in Wuhan in central China's Hubei province. Chinese data from February had already shown the effectiveness of the quarantine measures in slowing the progress of the disease, both within Hubei and in other Chinese provinces.- AP

BEIJING (Xinhua): There is no evidence of manipulation of China's Covid-19 data using Benford's law, and its data should be used not only for calibration of models to inform policy measures to slow infection, but also guide policy in other countries, researchers have claimed.

The study dated Tuesday (April 28) was conducted by Christoffer Koch, a senior research economist at the Federal Research Bank of Dallas and Ken Okamura, a researcher with the University of Oxford's Said Business School.

Save 30% OFF The Star Digital Access

Monthly Plan

RM 13.90/month

RM 9.73/month

Billed as RM 9.73 for the 1st month, RM 13.90 thereafter.

Best Value

Annual Plan

RM 12.33/month

RM 8.63/month

Billed as RM 103.60 for the 1st year, RM 148 thereafter.

Follow us on our official WhatsApp channel for breaking news alerts and key updates!
covid-19 , china , data , study , manipulation ,

Next In Regional

Singapore, Beijing land in top 10 of Savills’ inaugural Matcha Index of global tech cities
It’s HAL out there: Tencent AI chatbot tells user to ‘get lost’ in rare angry outburst
Alibaba brings visual AI into food fight with China’s Meituan
How Chinese robotaxi giants are steering the Middle East towards a driverless future
Asia-Pacific rides AI boom to unlock tech-empowered growth, cooperation momentum in 2025
China delays plans for mass production of self-driving cars after accident
As US battles China on AI, some companies choose Chinese
Does China have a robot bubble?
Social app RedNote expanding beyond China despite privacy concerns
China's smaller manufacturers look to catch the automation wave

Others Also Read