收藏切换
Equilibrium of public health security in Zhejiang province based on entropy weight TOPSIS
收藏切换
Qing SHEN1, Jianmei WU2, Yinwei QIU3, Yan HOU1, Chengyang PAN4, Junfen LIN3, Min YU5, Lingfei MA1
Chinese Journal of Public Health | 2026, 42(7) : 877 - 882
Less
收藏切换
Chinese Journal of Public Health | 2026, 42(7): 877-882
• Survey and Report •
Equilibrium of public health security in Zhejiang province based on entropy weight TOPSIS
Full
Qing SHEN1, Jianmei WU2, Yinwei QIU3, Yan HOU1, Chengyang PAN4, Junfen LIN3, Min YU5, Lingfei MA1
Affiliations
  • 1Institute for Health Policy, Hangzhou Medical College, Hangzhou 310013, China
  • 2People′s Government of Tuhuji Township, Zepu County, Kashgar Prefecture, Xinjiang Uygur Autonomous Region, Kashi 844800, China
  • 3Center for Surveillance, Early Warning and Emergency Response, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
  • 4School of Public Health, Hangzhou Medical College, Hangzhou 311399, China
  • 5Chronic Non-communicable Disease Prevention and Control Institute, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
Published: 2026-07-10 doi: 10.11847/zgggws1148547
Outline
收藏切换
Objective

To understand the equilibrium status of public health security in different regions at the county (county-level city, district) level in Zhejiang province, thus providing a basis for targeted policy implementation across the entire province.

Methods

On the basis of the public health security evaluation index system, relevant public health security data in 2023 were collected from seven counties (county-level cities, districts) in Zhejiang province. The entropy weight technique for order preference by similarity to ideal solution (TOPSIS) was used to calculate the index values for each county (county-level city, district). The comprehensive closeness degrees for six dimensions including policy guarantee, resource support, healthy environment, surveillance and early warning, emergency response, and vulnerable population were calculated upon the grouping by different socioeconomic levels, different terrains, and different county-level administrative categories. The coefficients of variation were calculated to assess the level of balance in public health security development.

Results

The comprehensive closeness degree of public health security in moderately developed areas in Zhejiang was the highest (0.644 0), significantly higher than that in developed areas (0.399 3) and underdeveloped areas (0.344 6). The coefficient of variation for the health environment dimension among the three areas with different socioeconomic levels reached 91.25%. The comprehensive closeness degree of public health security levels in plains was the highest (0.525 0), followed by those in islands (0.353 9) and mountainous areas (0.333 3). The closeness degrees for the emergency response dimension in the latter two areas were both close to the ideal value of 1.000 0. County-level cities had the highest comprehensive closeness degree of public health security (0.666 0), followed by districts (0.435 9) and counties (0.382 2). The coefficients of variation for the health environment and emergency response dimensions among the three areas with different county-level administrative categories were high, reaching 68.77% and 51.93%, respectively.

Conclusions

The public health security levels in different counties (county-level cities, districts) of Zhejiang province exhibit a certain degree of non-equilibrium. In moderately developed areas, the overall public health security level is relatively high, with a particular emphasis on the healthy environment. The islands and mountainous areas have significant advantages in emergency response, while their healthy environment and surveillance and early warning capabilities are not as strong as those in plains. In county-level cities, the overall public health security level is relatively high.

public health security  /  equilibrium  /  socioeconomic level  /  terrain  /  administrative category  /  Zhejiang province
沈清, 吴健美, 邱银伟, 侯妍, 潘程阳, 林君芬, 俞敏, 马凌飞. 浙江省公共卫生安全均衡性分析:基于熵权TOPSIS法. 中国公共卫生, 2026 , 42 (7) : 877 -882 . DOI: 10.11847/zgggws1148547
Qing SHEN, Jianmei WU, Yinwei QIU, Yan HOU, Chengyang PAN, Junfen LIN, Min YU, Lingfei MA. Equilibrium of public health security in Zhejiang province based on entropy weight TOPSIS[J]. Chinese Journal of Public Health, 2026 , 42 (7) : 877 -882 . DOI: 10.11847/zgggws1148547
Year 2026 volume 42 Issue 7
87
26
Cite this Article
BibTeX
Article Info
doi: 10.11847/zgggws1148547
  • Receive Date:2025-07-30
  • Online Date:2026-10-23
  • Published:2026-07-10
Article Data
Affiliations
History
  • Received:2025-07-30
  • Revised:2025-10-12
  • Accepted:2026-03-11
Affiliations
    1Institute for Health Policy, Hangzhou Medical College, Hangzhou 310013, China
    2People′s Government of Tuhuji Township, Zepu County, Kashgar Prefecture, Xinjiang Uygur Autonomous Region, Kashi 844800, China
    3Center for Surveillance, Early Warning and Emergency Response, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
    4School of Public Health, Hangzhou Medical College, Hangzhou 311399, China
    5Chronic Non-communicable Disease Prevention and Control Institute, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China

Corresponding:

MA Lingfei, E-mail:
References
Share
https://castjournals.cast.org.cn/joweb/zgggws/EN/10.11847/zgggws1148547
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
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
total species (%)
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
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT