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An effectiveness evaluation of digital empowerment of COVID-19 epidemic prevention and control in Zhejiang province
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Xiaopeng SHANG1, Yun FU2, Le FANG3, Renjie ZHANG1, Zirui WANG4
Chinese Journal of Public Health | 2025, 41(7) : 853 - 858
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Chinese Journal of Public Health | 2025, 41(7): 853-858
• Survey and Report •
An effectiveness evaluation of digital empowerment of COVID-19 epidemic prevention and control in Zhejiang province
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Xiaopeng SHANG1, Yun FU2, Le FANG3, Renjie ZHANG1, Zirui WANG4
Affiliations
  • 1Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
  • 2Huzhou Center for Disease Control and Prevention, Huzhou 313000, China
  • 3Disease Control and Prevention Administration of Zhejiang Province, Hangzhou 310006, China
  • 4Taizhou Municipal Center for Disease Control and Prevention, Taizhou 317700, China
Published: 2025-07-10 doi: 10.11847/zgggws1144631
Outline
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To ensure a smooth transition to the "Class B management" protocol for the novel coronavirus infection (referred to as "COVID-19") epidemic, the Zhejiang province Data Bureau and the Provincial Health Commission jointly led multiple departments to establish and launch the integrated application platform for "Class B management" of COVID-19 infection in February 2023. This platform employs both automated system and manual data collection methods for relevant epidemic-related data, integrating multiple information systems. It provides functional displays for seven key areas: epidemic surveillance, medical treatment and support, medical supplies, vaccination, key institutions, key regions (rural areas), and key populations. A preliminary intelligent multi-point trigger warning mechanism has been established, providing a comprehensive, multi-perspective overview of epidemic prevention and control progress. This platform has provided strong support for epidemic situation assessment, monitoring, early warning, and resource allocation in Zhejiang province. This article focuses on the platform's functionalities and its effectiveness.

COVID-19 pandemic prevention and control  /  digitalization  /  multi-trigger mechanism  /  intelligent early warning  /  Zhejiang province
尚晓鹏, 付云, 方乐, 张人杰, 王子睿. 数字化助力浙江省新型冠状病毒感染疫情防控效果评价. 中国公共卫生, 2025 , 41 (7) : 853 -858 . DOI: 10.11847/zgggws1144631
Xiaopeng SHANG, Yun FU, Le FANG, Renjie ZHANG, Zirui WANG. An effectiveness evaluation of digital empowerment of COVID-19 epidemic prevention and control in Zhejiang province[J]. Chinese Journal of Public Health, 2025 , 41 (7) : 853 -858 . DOI: 10.11847/zgggws1144631
Year 2025 volume 41 Issue 7
77
33
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doi: 10.11847/zgggws1144631
  • Receive Date:2024-04-08
  • Online Date:2026-10-25
  • Published:2025-07-10
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History
  • Received:2024-04-08
  • Revised:2024-12-04
  • Accepted:2025-04-18
Affiliations
    1Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
    2Huzhou Center for Disease Control and Prevention, Huzhou 313000, China
    3Disease Control and Prevention Administration of Zhejiang Province, Hangzhou 310006, China
    4Taizhou Municipal Center for Disease Control and Prevention, Taizhou 317700, China

Corresponding:

WANG Zirui, E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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