Evidence map›Paper›PMID 41772678›Full record

ArticleArchives of public health = Archives belges de sante publique2026

Spatio-temporal analysis of influenza in old-new economic transition areas of coastal mega-cities: evidence from China.

Ji Li, Zihan Mei, Lin Li, Xiaochun Dong, Yue Li, Zhengkun Liu, Jinyue Yuan, Xiaohan Sun, Xiangyu Yan, Ying Zhang and 1 more

Abstract read
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Article in Archives of public health = Archives belges de sante publique, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ji Li *School of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Zihan Mei *School of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Lin LiTianjin Centers for Disease Control and Prevention, Tianjin, China.
Xiaochun DongTianjin Centers for Disease Control and Prevention, Tianjin, China.
Yue LiSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Zhengkun LiuSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Jinyue YuanSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Xiaohan SunSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
Xiangyu YanSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China. yanxiangyu@tju.edu.cn.
Ying ZhangTianjin Centers for Disease Control and Prevention, Tianjin, China. cdczhangying@sina.com.
Chunxia CaoSchool of Disaster and Emergency Medicine, Tianjin University, Tianjin, China. caochunxia@tju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong-term spatio-temporal analyses of influenza in coastal mega-cities remain limited. This study explores influenza dynamics in Tianjin, China (2010–2023) to inform prevention strategies.

methodsThe data was based on case data from Tianjin (2010–2023) and the Tianjin Statistical Yearbook. Temporal trends, spatial auto-correlation (global and local Moran’s I), and spatio-temporal clusters (scan statistics) were assessed.

resultsFrom 2010 to 2023, Tianjin reported a cumulative total of 195,426 influenza cases. The eastern region displayed the top three prevalence indices among the sixteen districts. Spatial auto-correlation analyses indicated that the evolution of influenza incidence rates in Tianjin follows a pattern of being “high along the eastern coast”. The analysis of spatio-temporal scanning identified the most significant cluster in eastern Tianjin, occurring from December 2017 to May 2019. This cluster covered four districts with a relative risk (RR) of 7.73 and log likelihood ratio (LLR) of 6597.49 (P < 0.001). Additionally, a similar cluster emerged in the eastern region of Tianjin from December 2019 to December 2023, covering three districts (RR: 27.41; LLR: 74011.43; P < 0.001).

conclusionsMega-city influenza prevention prioritizes high-economic-activity zones. Coastal mega-cities target influenza spread in old-new economic transition areas.

Indexed as

InfluenzaMega-citySpatial auto-correlationSpatial epidemiologySpatio-temporal scan analysis

Identifiers

PMID41772678
PMCPMC13063539

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