Evidence map›Paper›PMID 37418298›Full record

ArticleJMIR public health and surveillance2023

Effect of Rapid Urbanization in Mainland China on the Seasonal Influenza Epidemic: Spatiotemporal Analysis of Surveillance Data From 2010 to 2017.

Hao Lei, Nan Zhang, Beidi Niu, Xiao Wang, Shenglan Xiao, Xiangjun Du, Tao Chen, Lei Yang, Dayan Wang, Benjamin Cowling and 2 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. 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

12 authors.

Hao Lei *School of Public Health, Zhejiang University, Hangzhou, China.ORCID 0000-0002-1850-7040
Nan Zhang *Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.ORCID 0000-0003-2092-4334
Beidi NiuSchool of Public Health, Zhejiang University, Hangzhou, China.ORCID 0000-0002-3858-4705
Xiao WangSchool of Public Health, Shenzhen Campus, Sun Yat-sen University, Shenzhen, China.ORCID 0009-0005-5991-0767
Shenglan XiaoSchool of Public Health, Shenzhen Campus, Sun Yat-sen University, Shenzhen, China.ORCID 0000-0002-6265-9199
Xiangjun DuSchool of Public Health, Shenzhen Campus, Sun Yat-sen University, Shenzhen, China.ORCID 0000-0001-8184-8430
Tao ChenKey Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, China.ORCID 0000-0002-9049-2533
Lei YangKey Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, China.ORCID 0000-0002-5239-4617
Dayan WangKey Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, National Health Commission, Beijing, China.ORCID 0000-0002-4990-1016
Benjamin CowlingSchool of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong.ORCID 0000-0002-6297-7154
Yuguo LiDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong.ORCID 0000-0002-2281-4529
Yuelong Shu *School of Public Health, Shenzhen Campus, Sun Yat-sen University, Shenzhen, China.ORCID 0000-0001-6151-5540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe world is undergoing an unprecedented wave of urbanization. However, the effect of rapid urbanization during the early or middle stages of urbanization on seasonal influenza transmission remains unknown. Since about 70% of the world population live in low-income countries, exploring the impact of urbanization on influenza transmission in urbanized countries is significant for global infection prediction and prevention.

objectiveThe aim of this study was to explore the effect of rapid urbanization on influenza transmission in China.

methodsWe performed spatiotemporal analyses of province-level influenza surveillance data collected in Mainland China from April 1, 2010, to March 31, 2017. An agent-based model based on hourly human contact-related behaviors was built to simulate the influenza transmission dynamics and to explore the potential mechanism of the impact of urbanization on influenza transmission.

resultsWe observed persistent differences in the influenza epidemic attack rates among the provinces of Mainland China across the 7-year study period, and the attack rate in the winter waves exhibited a U-shaped relationship with the urbanization rates, with a turning point at 50%-60% urbanization across Mainland China. Rapid Chinese urbanization has led to increases in the urban population density and percentage of the workforce but decreases in household size and the percentage of student population. The net effect of increased influenza transmission in the community and workplaces but decreased transmission in households and schools yielded the observed U-shaped relationship.

conclusionsOur results highlight the complicated effects of urbanization on the seasonal influenza epidemic in China. As the current urbanization rate in China is approximately 59%, further urbanization with no relevant interventions suggests a worrisome increasing future trend in the influenza epidemic attack rate.

Indexed as

Influenza, HumanChinaHumansSeasonsSpatio-Temporal AnalysisUrbanizationagent-based modelattack ratedisease spreaddisease transmissionepidemicepidemicsepidemiologyhuman contactinfluenzainfluenza transmissionseasonal fluseasonal influenzaspatiotemporalurbanizationurban population

Identifiers

PMID37418298
PMCPMC10362421

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Registered trials

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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.