Evidence map›Paper›PMID 42083002›Full record

ArticlePopulation health metrics2026

The impacts of the COVID-19 pandemic on burden of global injuries: a counterfactual modeling.

Kexin Cao, Can Chen, Zhenglin Yuan, Rongrong Qu, Wenkai Zhou, Yi Yang, Mengsha Chen, Jiaxing Qi, Jiani Miao, Xiaoyue Wu and 6 more

Abstract read
In one paragraph

Article in Population health metrics, 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

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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

16 authors.

Kexin Cao *Department of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Can Chen *Department of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Zhenglin Yuan *Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Rongrong QuDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Wenkai ZhouDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Yi YangDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Mengsha ChenDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Jiaxing QiDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Jiani MiaoDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Xiaoyue WuDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Jingtong ZhouDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Anqi DaiDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Jiaxin ChenDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China.
Shanxiang XuDepartment of Emergency Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, China. 2201027@zju.edu.cn.
Mao ZhangDepartment of Emergency Medicine, Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, China. z2jzk@zju.edu.cn.
Shigui YangDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, China. yangshigui@zju.edu.cn.

Funding

the China Postdoctoral Science Foundation 2023M742987the Mega-Project of National Science and Technology for the 13th Five-Year Plan of China 2018ZX10715-014-002the National Natural Science Foundation of China U23A20496, 82173577, 81672005
6 · The paper itself

Abstract

backgroundThe global burden of injury is a key indicator for assessing public health and medical needs. During the COVID-19 pandemic, this burden was impacted. This study aims to explore how the pandemic influenced the injury burden globally and regionally, and provide recommendations to relieve this burden.

methodsThe burden of injury-related data is derived from the Global Burden of Disease (GBD) 2021 Study. Autoregressive integrated moving average (ARIMA) and ARIMA-Long short-Term Memory (LSTM) models were adopted for counterfactual inference to predict the scenario without the pandemic.

resultsDuring the COVID-19 pandemic, the observed global age-standardized incidence rate (ASIR) of injury exceeded the predicted value by 107.31 per 100,000, and the observed age-standardized prevalence rate (ASPR) was higher than the predicted value by 102.81 per 100,000. Self-harm and interpersonal violence saw the largest deviations above predicted values in Europe and parts of Asia. Specifically, Armenia's ASIR was 7,829.33 per 100,000 higher than predicted, and its ASDR exceeded projections by 5,186.32 per 100,000. Besides, traffic injuries exceeded predicted levels most significantly in Southeast Asia, with Indonesia's ASIR 25.48 per 100,000 higher than projected. And the observed ASIR of unintentional injuries in China was 379.61 per 100,000 higher than the predicted value.

conclusionDuring the COVID-19 pandemic, the global burden of injuries surpassed the predicted levels for a scenario without the pandemic in 2020-2021, especially in Europe and Asia. In addressing an epidemic, prevention and emergency measures for high-burden injury types and key populations should be strengthened based on local socio-cultural contexts.

Indexed as

COVID-19Global HealthWounds and InjuriesCost of IllnessGlobal Burden of DiseaseHumansIncidencePandemicsSARS-CoV-2Counterfactual inferenceCOVID-19 pandemicGlobal burdenInjuries

Identifiers

PMID42083002
PMCPMC13137603

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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.