Evidence map›Paper›PMID 41652354›Full record

ArticleBMC infectious diseases2026

Assessing the risk of malaria re-transmission in Anhui Province, China: an integration of spatiotemporal scan statistics and ecological niche modeling.

Bowen Liu, Tao Zhang, Jingbo Xue, Shiyi Huo, Houliang He, Xiao Tan, Weidong Li, Shizhu Li

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Observational
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

8 authors.

Bowen Liu *School of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Tao Zhang *Anhui Provincial Center for Disease Control and Prevention, 12560 Fanhua Road, Anhui, Hefei, 230601, China.
Jingbo XueSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Shiyi HuoSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Houliang HeSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Xiao TanSchool of Global Health, Chinese Centre for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Weidong LiAnhui Provincial Center for Disease Control and Prevention, 12560 Fanhua Road, Anhui, Hefei, 230601, China. ahcdclwd@163.com.
Shizhu LiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Key Laboratory on Parasite and Vector Biology, National Health Commission, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China. lisz@chinacdc.cn.

Funding

The Anhui Provincial Health Commission Research Project AHWJ2024Aa20278The National Key Research and Development Program of China No. 2024YFC2310902The National Natural Science Foundation of China No.82473688Three-Year Initiative Plan for Strengthening Public Health System Construction in Shanghai (2023-2025) Key Discipline Project No. GWVI-11.1-12
6 · The paper itself

Abstract

objectiveThis study aims to identify hotspots of imported malaria cases and areas suitable for malaria vector distribution in Anhui Province. By visualizing the province-wide risk of malaria re-transmission, the research provides a scientific basis for implementing stratified and targeted strategies to prevent malaria reintroduction.

methodsEpidemiological data on imported malaria cases and demographic information from Anhui Province, spanning 2017 to 2023, were collected alongside vector surveillance data from 2023. ArcGIS10.8 and SaTScan10.1.2 were used to analyze the spatial-temporal characteristics of the imported cases, and R4.4.0 was used to construct a niche model based on vector surveillance data.

resultsThe spatial-temporal scan analysis revealed that the spatial distribution of malaria hotspots remained largely consistent from 2017 to 2023, with the exception of 2021(P<0.05). Persistent clusters were primarily located in Yaohai District, Luyang District, Baohe District, Feidong County, Changfeng County, Feixi County, and Shushan District. The ensemble model based on the probability committee average method demonstrated strong predictive performance, with an AUC of 0.943 and a TSS of 0.759. The results of the ensemble model showed that the potential suitable areas of An. sinensis were mainly distributed in the central and part of the southern regions. The distribution of An. sinensis was mainly affected by the annual vegetation index, the brightness of night lights, and the precipitation in the wetest month.

conclusionsThe central region of Anhui Province is at the highest risk for malaria re-transmission. It is recommended to strengthen the surveillance of epidemic situations in the region, timely detection and standardized management of cases. Vector control measures should be taken in the epidemic spots during the mosquito vector activity season to interrupt the risk of re-transmission. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

MalariaAnimalsAnophelesChinaEcosystemHumansMosquito VectorsRisk AssessmentSpatio-Temporal AnalysisAnhui ProvinceBiomod2ChinaImported malariaPrevention of re-transmission of malariaSpatial epidemiology

Identifiers

PMID41652354
PMCPMC12973541

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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.