Evidence map›Paper›PMID 37164516›Full record

ArticleThe Lancet. Planetary health2023

Projecting future risk of dengue related to hydrometeorological conditions in mainland China under climate change scenarios: a modelling study.

Chuanxi Li, Zhao Liu, Wen Li, Yuxi Lin, Liangyu Hou, Shuyue Niu, Yue Xing, Jianbin Huang, Yidan Chen, Shangchen Zhang and 9 more

Registry-linked trialAbstract read
In one paragraph

Article in The Lancet. Planetary health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07124949 (Chinese Migrant Population Health Cohort), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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.

NCT07124949 recruitingnot on this mapstarted 2025, after this paper: background citation

Chinese Migrant Population Health Cohort

TypeobservationalSponsorJinwei TianRan2025 to 2030Enrolled26,000ConditionsCardiovascular Diseases, Metabolic Disorders, Ageing and Geriatric Health, Climate AdaptationArmsNo intervention
3 · Its place in the literature

Who cites it

16 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

19 authors.

Chuanxi LiDepartment of Epidemiology, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, and Shandong University Climate Change and Health Centre, Shandong University, Jinan, China.
Zhao LiuSchool of Linkong Economics and Management, Beijing Institute of Economics and Management, Beijing, China.
Wen LiDepartment of Epidemiology, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, and Shandong University Climate Change and Health Centre, Shandong University, Jinan, China.
Yuxi LinDepartment of Epidemiology, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, and Shandong University Climate Change and Health Centre, Shandong University, Jinan, China.
Liangyu HouDepartment of Epidemiology, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, and Shandong University Climate Change and Health Centre, Shandong University, Jinan, China.
Shuyue NiuDepartment of Epidemiology, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, and Shandong University Climate Change and Health Centre, Shandong University, Jinan, China.
Yue XingDepartment of Epidemiology, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, and Shandong University Climate Change and Health Centre, Shandong University, Jinan, China.
Jianbin HuangCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; Beijing Yanshan Earth Critical Zone National Research Station, Chinese Academy of Sciences, Beijing, China.
Yidan ChenState Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing, China.
Shangchen ZhangDepartment of Earth System Science, Institute for Global Change Studies, Ministry of Education Key Laboratory for Earth System Modelling, Tsinghua University, Beijing, China.
Xuejie GaoCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China; Climate Change Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Ying XuNational Climate Centre, China Meteorological Administration, Beijing, China.
Can WangState Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing, China.
Qi ZhaoDepartment of Epidemiology, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, and Shandong University Climate Change and Health Centre, Shandong University, Jinan, China; Department of Epidemiology, IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany. Electronic address: qi.zhao@sdu.edu.cn.
Qiyong LiuDepartment of Epidemiology, Shandong University, Jinan, China; Department of Vector Control, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, and Shandong University Climate Change and Health Centre, Shandong University, Jinan, China; State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, China. Electronic address: liuqiyong@icdc.cn.
Wei MaDepartment of Epidemiology, Shandong University, Jinan, China; School of Public Health, Cheeloo College of Medicine, and Shandong University Climate Change and Health Centre, Shandong University, Jinan, China. Electronic address: weima@sdu.edu.cn.
Wenjia CaiMinistry of Education Ecological Field Station for East Asian Migratory Birds, Tsinghua University, Beijing, China.
Peng GongInstitute for Climate and Carbon Neutrality, Department of Earth Sciences and Geography, University of Hong Kong, Hong Kong, China.
Yong LuoDepartment of Earth System Science, Institute for Global Change Studies, Ministry of Education Key Laboratory for Earth System Modelling, Tsinghua University, Beijing, China.

Funding

Wellcome TrustWellcome Trust 209734/Z/17/Z
6 · The paper itself

Abstract

backgroundWe have limited knowledge on the impact of hydrometeorological conditions on dengue incidence in China and its associated disease burden in a future with a changed climate. This study projects the excess risk of dengue caused by climate change-induced hydrometeorological conditions across mainland China.

methodsIn this modelling study, the historical association between the Palmer drought severity index (PDSI) and dengue was estimated with a spatiotemporal Bayesian hierarchical model from 70 cities. The association combined with the dengue-transmission biological model was used to project the annual excess risk of dengue related to PDSI by 2100 across mainland China, under three representative concentration pathways ([RCP] 2·6, RCP 4·5, and RCP 8·5).

findings93 101 dengue cases were reported between 2013 and 2019 in mainland China. Dry and wet conditions within 3 months lag were associated with increased risk of dengue. Locations with potential dengue risk in China will expand in the future. The hydrometeorological changes are projected to substantially affect the risk of dengue in regions with mid-to-low latitudes, especially the coastal areas under high emission scenarios. By 2100, the annual average increased excess risk is expected to range from 12·56% (95% empirical CI 9·54-22·24) in northwest China to 173·62% (153·15-254·82) in south China under the highest emission scenario.

interpretationHydrometeorological conditions are predicted to increase the risk of dengue in the future in the south, east, and central areas of mainland China in disproportionate patterns. Our findings have implications for the preparation of public health interventions to minimise the health hazards of non-optimal hydrometeorological conditions in a context of climate change.

fundingNational Natural Science Foundation of China.

Indexed as

Climate ChangeDengueBayes TheoremChinaCitiesHumans

Identifiers

PMID37164516
PMCPMC10186180

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Registered trials

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.