Evidence map›Paper›PMID 42422687›Full record

ArticleFrontiers in public health2026

The effect of integration of medical and preventive services on the prevention and control of public health emergencies in China.

Minghua Zhou

Abstract read
In one paragraph

Article in Frontiers in 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
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

1 author.

Minghua ZhouDepartment of Administration Office, Luzhou People's Hospital, Luzhou, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the effect of integration of medical and preventive services on the prevention and control of public health emergencies in China, and to provide a scientific basis for improving prevention and control capabilities. Methods: The coupling coordination degree was used to calculate the comprehensive scores for the integration of medical and preventive services in 31 provincial-level administrative areas from 2018 to 2023. The incidence rates of Category A and B infectious diseases were selected as the explained variables for prevention and control effectiveness, and a panel model was used to analyze the effect of these scores on the prevention and control of public health emergencies during the same period. Results: The comprehensive scores for the integration of medical and preventive services in China from 2018 to 2023 were 0.558, 0.567, 0.574, 0.578, 0.577, and 0.579, respectively. Areas such as Guangdong and Shandong had comprehensive scores above 0.94, while areas including Tibet, Qinghai, and Ningxia had comprehensive scores below 0.23. The comprehensive score for the integration of medical and preventive services in China was statistically significant at the 0.05 level ( Conclusion: Regional disparities in the integration of medical and preventive services in China are relatively obvious. The integration of medical and preventive services significantly affected the prevention and control of public health emergencies. The effect of the integration of medical and preventive services on the prevention and control of public health emergencies showed regional differences.

Indexed as

Delivery of Health Care, IntegratedEmergenciesPreventive Health ServicesPublic HealthChinaHumansPublic Health Infrastructureintegration of medical and preventive servicesmedical resourcesprevention and control effectpublic health emergenciespublic health resources

Identifiers

PMID42422687
PMCPMC13341584

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.