男友太凶猛1v1高h,大地资源在线资源免费观看 ,人妻少妇精品视频二区,极度sm残忍bdsm变态

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: 阳新县| 道孚县| 黎平县| 攀枝花市| 永福县| 韶关市| 九龙城区| 同江市| 定安县| 阿坝县| 富锦市| 通许县| 祥云县| 中牟县| 松桃| 新源县| 唐河县| 开阳县| 富民县| 昭苏县| 嘉善县| 武冈市| 抚顺县| 普安县| 胶州市| 咸宁市| 长葛市| 衢州市| 明水县| 巴彦淖尔市| 莎车县| 施秉县| 崇明县| 定兴县| 那坡县| 罗江县| 礼泉县| 车致| 五指山市| 吉林省| 涞源县|