Evidence map›Paper›PMID 41164843›Full record

ReviewFrontiers in public health2025

From infectious diseases to chronic diseases: the paradigm shift of spatial epidemiology in disease prevention and control.

Ke Hu, Chaojie Li, Xingjin Yang, Shuiping Ou, Xing Zhang, Di Xiao, Mingyang Yu

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

Ke Hu *Xiamen Haicang Hospital, Xiamen, China.
Chaojie Li *Xingtai Center for Disease Control and Prevention, Xingtai, China.
Xingjin Yang *QianDongNanZhou Center for Disease Control and Prevention, QianDongNanZhou, China.
Shuiping OuHonwing Pharma (Guizhou) Company Limited, QianDongNanZhou, China.
Xing ZhangNanjing Lishui Dongping Street Health Center, Nanjing, China.
Di XiaoCommunity Health Service Center of Jiuxian Tongliang District, Chongqing, China.
Mingyang YuFuwai Central China Cardiovascular Hospital, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial epidemiology, as an important branch of epidemiology, has undergone a significant paradigm shift from infectious disease prevention and control to chronic disease management. This paper systematically reviews the application progress of spatial epidemiology in the study of infectious diseases (e.g., malaria, HIV) and chronic diseases (e.g., cancer, cardiovascular diseases), focusing on its role in identifying spatial distribution patterns of diseases, assessing environmental exposures, and supporting health decision-making. The paper compares the differences in data characteristics, analytical methods, and modeling strategies between infectious and chronic diseases, and discusses the impact of multi-scale analysis, data aggregation, and the Modifiable Areal Unit Problem on research results. Furthermore, this paper reviews the innovative value of Geographic Information Systems, remote sensing technology, mobile positioning, and multi-source data fusion in promoting precision public health practices. Finally, the article points out the current challenges faced by spatial epidemiology in privacy ethics, causal inference, and model robustness, and prospects future directions such as AI-enabled multi-omics integration and spatial decision support systems under global health governance.

Indexed as

Communicable Disease ControlCommunicable DiseasesSpatial AnalysisChronic DiseaseGeographic Information SystemsHumanschronic disease managementdata aggregation scalegeographic information systeminfectious disease prevention and controlspatial analysis methodsspatial epidemiology

Identifiers

PMID41164843
PMCPMC12558956

What OpenQuestion holds

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LicenceCC BY
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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.