Evidence map›Paper›PMID 42204667›Full record

ArticleBMC public health2026

Heat effects on influenza-like illness and heterogeneity factors across regions: based on 333 cities in China.

Shuhan Tang, Yi Yin, Zhibin Peng, Xin Jiang, Xiaokun Yang, Ziying Chen, Sijia Zhou, Tiantian Li, Yanni Xiao, Daihai He and 2 more

Abstract read
In one paragraph

Article in BMC 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.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Shuhan Tang *School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Yi Yin *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Zhibin PengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Xin JiangSchool of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Xiaokun YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Ziying ChenSchool of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Sijia ZhouSchool of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Tiantian LiCDC Key Laboratory of Environment and Population Health, Chinese Center for Disease Control and Prevention, National Institute of Environmental Health, Beijing, 102206, China.
Yanni XiaoSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China.
Daihai HeDepartment of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong, China.
Yanping ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, 102206, China. zhangyp@chinacdc.cn.
Zhihang PengSchool of Public Health, Nanjing Medical University, Nanjing, 211166, China. zhihangpeng@njmu.edu.cn.

Funding

Major Project of Guangzhou National Laboratory GZNL2024A01025National Key R&D Program of China 2024YFC2311500National Natural Science Foundation of China 82320108018
6 · The paper itself

Abstract

backgroundWhile cold weather's impact on influenza-like illness (ILI) is well-studied, heat effects remain underexplored. This study examines the relationship between heat and influenza risk across China, examining regional variations and quantifying heat-attributable disease burden.

methodsWe analyzed weekly ILI surveillance data and temperature records from 333 Chinese cities (2010-2018), focusing on warm seasons (May-October). Using distributed lag non-linear models combined with the generalized additive quasi-Poisson regression model, we assessed non-linear heat-ILI associations in each city. China was divided into seven geographical regions to evaluate how economic development, healthcare resources, and population composition modify the adaptation of ILI to heat effects.

resultsThe merged results of heat effects on ILI vary in seven regions. Nationally, influenza risk increases when temperatures exceed the region-specific minimum risk temperature. In the northeast, northern, northwest, and southern regions, risk rises significantly at temperatures of 17 °C, 16.4 °C, 14.7 °C, and 21.9 °C respectively. Conversely, in the central and southwest regions, risk declined with rising temperatures before showing minimal subsequent growth. In the eastern region, risk increased steadily above 11.8℃, with only a slight decline at extreme high temperatures. These patterns collectively highlight the pronounced effect of high temperatures on ILI epidemics. Elderly population proportion significantly modified heat effects in most regions. Population size modified ILI's heat adaptability in Northwest/Southwest, while the proportion of low-income populations across cities influenced Northern/Southern/Northwest/central regions. Quantitative analysis revealed that in 139 cities, temperature spikes contributed to an estimated 3,128,629 excess ILI cases in total.

conclusionsThis nationwide study demonstrates that heat effects were associated with influenza-like illness risk across China, with variations across regions. These regional differences in heat-ILI associations varied with local healthcare conditions, economic status, social environment, and population age structure. The findings support the need for region-specific public health interventions that consider these modifying factors.

Indexed as

Hot TemperatureInfluenza, HumanChinaCitiesHumansSeasonsDisease burdenHeat effectsInfluenzaTwo-stage model

Identifiers

PMID42204667
PMCPMC13397605

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LicenceCC BY-NC-ND
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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.