丝袜脚交免费网站xx-国产91丝袜在线播放-国产视频一区二区三区在线观看-午夜美女视频-午夜爽爽视频-制服丝袜先锋影音-天天躁日日躁狠狠躁喷水-日韩综合一区二区三区-99思思-日本体内she精视频-欧美精品免费播放-日韩欧美国产不卡-一级在线免费观看视频-韩国午夜理伦三级在线观看按摩房-伦乱激情视频

Novel coronavirus cases analyzed in paper had been reported, China CDC says

Source: Xinhua| 2020-02-01 10:00:55|Editor: huaxia

Medical staff swear in as members of "assault team" in the fight against the novel coronavirus-related pneumonia at Union Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology in Wuhan, central China's Hubei Province, Jan. 22, 2020. (Xinhua/Cheng Min)

All of the novel coronavirus cases in a newly published paper, including 15 medical personnel, had been reported to the public as of Jan. 23, which was before the paper was written, according to the Chinese Center for Disease Control and Prevention.

BEIJING, Feb. 1 (Xinhua) -- All the novel coronavirus cases analyzed in a newly published paper had been previously reported, the Chinese Center for Disease Control and Prevention (China CDC) said in a statement on Friday, in response to questions on its data.

The paper, titled "Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia" was published on Wednesday in the New England Journal of Medicine, according to the statement.

All of the cases in the paper, including 15 medical personnel, had been reported to the public as of Jan. 23, which was before the paper was written, according to the CDC.

Medical workers transfer a patient who is on the mend out of the ICU (intensive care unit) of Zhongnan Hospital of Wuhan University in Wuhan, central China's Hubei Province, Jan. 24, 2020. (Xinhua/Xiong Qi)

On the basis of information collected from the 425 patients infected with the virus, the researchers conducted a retrospective analysis inferring that human-to-human transmission has occurred among close contacts since December 2019, the CDC noted.

It said the timely publishing of findings in academic papers can help professionals both at home and abroad understand the characteristics of the disease and thus improve prevention and control strategies.

KEY WORDS:
EXPLORE XINHUANET
010020070750000000000000011102121387472211