Evidence map›Paper›PMID 42433223›Full record

ArticleChina CDC weekly2026

Spatiotemporal Dynamics of

Haoyue Yin, Wei Ding, Longsheng Liu, Shenning Lu, Xiaodong Sun, Zurui Lin, Shigang Li, Xianhua Zhou, Shan Lyu, Shizhu Li and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 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

12 authors.

Haoyue YinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission of the People's Republic of China; World Health Organization Collaborating Centre for Tropical Diseases, Shanghai, China.
Wei DingNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission of the People's Republic of China; World Health Organization Collaborating Centre for Tropical Diseases, Shanghai, China.
Longsheng LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission of the People's Republic of China; World Health Organization Collaborating Centre for Tropical Diseases, Shanghai, China.
Shenning LuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission of the People's Republic of China; World Health Organization Collaborating Centre for Tropical Diseases, Shanghai, China.
Xiaodong SunYunnan Provincial Key Laboratory of Vector-borne Disease Control and Research, Yunnan International Joint Laboratory of Tropical Infectious Diseases, Yunnan Institute of Parasitic Diseases, Kunming, Yunnan Province, China.
Zurui LinYunnan Provincial Key Laboratory of Vector-borne Disease Control and Research, Yunnan International Joint Laboratory of Tropical Infectious Diseases, Yunnan Institute of Parasitic Diseases, Kunming, Yunnan Province, China.
Shigang LiYingjiang County Center for Disease Control and Prevention, Yingjiang County, Yunnan Province, China.
Xianhua ZhouYingjiang County Center for Disease Control and Prevention, Yingjiang County, Yunnan Province, China.
Shan LyuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission of the People's Republic of China; World Health Organization Collaborating Centre for Tropical Diseases, Shanghai, China.
Shizhu LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission of the People's Republic of China; World Health Organization Collaborating Centre for Tropical Diseases, Shanghai, China.
Shengjie LaiWorldPop, School of Geography and Environmental Science, University of Southampton, UK.
Duoquan WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission of the People's Republic of China; World Health Organization Collaborating Centre for Tropical Diseases, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Yingjiang County, on the China-Myanmar border, reported the last indigenous malaria case in China, recorded the highest number of imported cases nationwide during the past 3 years. What is added by this report?: This study is the first to analyze malaria's spatiotemporal landscape change before and after the last indigenous case along the China-Myanmar border at township level. What are the implications for public health practice?: Fine-scale analyses of malaria hotspots along the border can identify challenges and update post-elimination surveillance and response strategies to consolidate malaria elimination efforts.

Indexed as

China-Myanmar BorderMalaria EliminationPlasmodium vivax

Identifiers

PMID42433223
PMCPMC13349673

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.