Evidence map›Paper›PMID 41688974›Full record

ArticleBMC public health2026

Temporal and spatial evolution trend of coupling coordination relationship between disease prevention and control, and social-economic development in China.

Fanfan Li, Yanni Shou, Yana Xu, Wenjing Yang, Guobing Feng, Qianqian Yang, Wei Han, Ying Luo

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Fanfan Li *Department of Pharmacy, School of Medicine, Hangzhou Geriatric Hospital, Affiliated Hangzhou First People's Hospital Chengbei Campus, Westlake University, Hangzhou, China.
Yanni Shou *Department of Pharmacy, School of Medicine, Hangzhou Geriatric Hospital, Affiliated Hangzhou First People's Hospital Chengbei Campus, Westlake University, Hangzhou, China.
Yana XuDepartment of Pharmacy, School of Medicine, Hangzhou Geriatric Hospital, Affiliated Hangzhou First People's Hospital Chengbei Campus, Westlake University, Hangzhou, China.
Wenjing YangSchool of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou, China.
Guobing FengDepartment of Pharmacy, School of Medicine, Hangzhou Geriatric Hospital, Affiliated Hangzhou First People's Hospital Chengbei Campus, Westlake University, Hangzhou, China.
Qianqian YangDepartment of Pharmacy, School of Medicine, Hangzhou Geriatric Hospital, Affiliated Hangzhou First People's Hospital Chengbei Campus, Westlake University, Hangzhou, China.
Wei HanSchool of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou, China. hanwei1982@hdu.edu.cn.
Ying LuoDepartment of Pharmacy, School of Medicine, Hangzhou Geriatric Hospital, Affiliated Hangzhou First People's Hospital Chengbei Campus, Westlake University, Hangzhou, China. 65275042@qq.com.

Funding

National Natural Science Foundation of China,China LTGS23E080007
6 · The paper itself

Abstract

backgroundUnder the background of globalization and rapid urbanization, the synergy between disease prevention and control (DPC) and social-economic development (SED) obviously became a key issue affecting the effectiveness of national governance and the health and well-being of people.

methodsIn this study, the evaluation index systems were constructed to evaluate the coupling coordination relationship between DPC and SED in China from 2013 to 2022 using the entropy weight method (EWM) and coupling coordination degree (CCD) model.

resultsIt was found that the number of beds in the preventive healthcare department (0.0642) and the added value of the secondary industry (0.0813) were the most important indicator weights in the DPC and SED systems, respectively. The CCD between the DPC and SED systems in China exhibited an upward trend, increasing from 0.3375-0.4095 in 2013 to 0.8175-0.9094 in 2022. The significant spatial heterogeneity of the CCD between the DPC and SED systems in the various regions was found with south > east > northwest > southwest > north > northeast. The regional aggregation of CCD between the levels of DPC and SED in China was obvious. The High-High cluster was mainly concentrated in the northeast and southwest regions. While, the High-Low and Low-High outliers were distributed in the east and north regions, respectively. The ARIMA model was used to predict the CCD of the DPC and SED systems in the various provinces of China.

conclusionsThis study could provide theoretical and technical information to promote the sustainable and coordinated development of DPC and SED.

Indexed as

Economic DevelopmentPreventive Health ServicesChinaHumansSpatio-Temporal AnalysisCoupling coordination degreeDisease prevention and controlEntropy weight methodSocial-economic developmentTemporal and spatial evolution

Identifiers

PMID41688974
PMCPMC13005326

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.