男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影

How-to China: Pandemic's end predicted for 2023

By Ye Zizhen and Ma Jingna | chinadaily.com.cn | Updated: 2022-02-15 06:30
Share
Share - WeChat
Group photo of Huang's team. [Photo provided to chinadaily.com.cn]

Q: Which is the most accurate epidemic forecast made by the system so far?

Huang: Since its launch in May 2020, the GPCP has been making daily, monthly and seasonal predictions for more than 180 countries using epidemic data. Predictions for the epidemic in 2021 in Shijiazhuang, Tonghua, Guangzhou, Nanjing, Zhengzhou and other cities were basically consistent with the actual situation.

Q: What does the system predict?

Huang: In addition to predicting daily, monthly and seasonal waves for more than 180 countries worldwide, the system can also predict important points, such as peak number of daily cases, the ending time and the cumulative number of infections.

Q: What scientific data and related social or economic factors are considered in making predictions?

Huang: This prediction system combines advanced climate prediction techniques with epidemic models. The influence of virus variation, government control measures, people's self-protection measures, vaccinations and natural factors — such as temperature and humidity — were considered comprehensively.

The epidemic data used in the prediction model are downloaded from Johns Hopkins University. The meteorological data such as temperature and humidity are downloaded from the European Centre for Medium-Range Weather Forecasts and NASA.

Q: Do new virus variants affect accuracy?

Huang: The system also applies to the current outbreak caused by variants of SARS-CoV-2.

Q: The system can be used to predict other emerging outbreaks?

Huang: For other emerging infectious diseases, predictions can be made by adjusting the prediction model and parameter scheme.

|<< Previous 1 2 3 4 Next   >>|
Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
主站蜘蛛池模板: 德钦县| 克什克腾旗| 玛曲县| 平昌县| 合作市| 治多县| 类乌齐县| 青神县| 青阳县| 普陀区| 行唐县| 望城县| 太仆寺旗| 衡水市| 商丘市| 屏东市| 伊金霍洛旗| 崇州市| 沿河| 金山区| 安庆市| 德庆县| 光山县| 昔阳县| 巨鹿县| 万全县| 永州市| 涞源县| 广南县| 冷水江市| 紫云| 南雄市| 察雅县| 全州县| 新和县| 镇原县| 邓州市| 松阳县| 万州区| 宝鸡市| 尼木县| 萨嘎县| 勐海县| 峡江县| 通化市| 承德市| 泸水县| 信阳市| 正蓝旗| 耒阳市| 保亭| 连江县| 宁陕县| 济源市| 司法| 依兰县| 永福县| 新巴尔虎左旗| 延津县| 乐至县| 信宜市| 秀山| 左贡县| 祁阳县| 荆州市| 哈尔滨市| 南城县| 报价| 都匀市| 扎兰屯市| 林芝县| 新密市| 二连浩特市| 浮山县| 广丰县| 得荣县| 家居| 晋城| 霍林郭勒市| 恩平市| 潜山县| 新密市|