At what stage is the local epidemic situation in Zhoushan City where normalized nucleic acid detection has been suspended?

After a series of national epidemic prevention and control policies were adjusted, Zhoushan City, Zhejiang Province suspended normal nucleic acid detection. The local epidemic situation is basically in the prevention and control stage, and there is no obvious epidemic situation.

Zhoushan city has no medium-high risk areas, all of which are low risk areas. At first, Zhoushan had about 2~3 middle and high risk areas and 4~5 middle and high risk areas. After high-frequency nucleic acid detection and static control, all high-risk areas were reduced to medium-risk areas within half a month, and five medium-risk areas were also reduced to low-risk areas. Within one month, all areas were restored to low-risk areas, and normalized nucleic acid detection was also cancelled. However, residents should know their destination in advance when traveling.

The business premises are all open, but the passenger flow will be limited. According to the principle, the passenger flow of some business places such as cinemas and KTV bars shall not exceed 50%~70% of the daily passenger flow. According to the rules, the daily passenger flow of supermarkets, institutions and other business places serving the people should not exceed 70%. Everyone needs to wear a mask to disinfect their hands before entering public places, and staff will be arranged in all public places.

All enterprises and institutions should do a good job in epidemic prevention and control during their work. Employees from all regions of Zhoushan have entered the company to work normally, but apart from adequate protective clothing and disinfection equipment, separate spaces should be set aside for isolation to prevent sudden outbreaks, and they should be disinfected regularly every day. Employees try to travel at the wrong peak when going to work. If possible, they can take a private car, take a bus and wear masks all the time, and go home from work to minimize the number of parties.