Evidence map›Paper›PMID 42256488›Full record

ArticleThe Lancet regional health. Western Pacific2026

Trends in incidence and DALYs of infectious disease from 2000 to 2023 and the attributable risk factors in China: an analysis of the Global Burden of Disease Study 2023.

Liyan Zhou, Qiao Liu, Yaping Wang, Min Du, Chenyuan Qin, Xi Li, Wenxin Yan, Shimo Zhang, Weiyang Chen, Shunzhe Wu and 9 more

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Liyan ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Qiao LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yaping WangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Min DuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Chenyuan QinDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Xi LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Wenxin YanVanke School of Public Health, Tsinghua University, Beijing, China.
Shimo ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Weiyang ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Shunzhe WuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Zhiyu ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Lei ZhouChinese Center for Disease Control and Prevention (China CDC), Beijing, China.
Yuantao HaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Zhidong CaoInstitute of Automation, Chinese Academy of Sciences, Beijing, China.
Sitong LuoVanke School of Public Health, Tsinghua University, Beijing, China.
Weizhong YangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Wannian LiangVanke School of Public Health, Tsinghua University, Beijing, China.
Min LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jue LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infectious diseases remain a major source of health loss, yet long-term, cause-comparable assessments that jointly integrate incidence, disability-adjusted life-years (DALYs), age patterns, and risk attribution for China are fragmented and not comprehensively synthesized within a unified framework. We aimed to evaluate the trends in incidence and DALYs of infectious diseases in China from 2000 to 2023 to inform current priority setting by clarifying long-term trends and changes observed during the COVID-19 pandemic. Methods: Data on the number and rate of incidence and DALYs of five major infectious-disease cause groups (HIV/AIDS and sexually transmitted infections, respiratory infections and tuberculosis, enteric infections, neglected tropical diseases and malaria, and other infectious diseases) and 40 specific infectious diseases in China were obtained from the Global Burden of Disease Study (GBD) 2023. Estimated annual percentage changes (EAPCs) in age-standardized incidence rates (ASIRs) and age-standardized DALY rates (ASDRs) were calculated overall and by sex and age group to quantify temporal trends from 2000 to 2023. We conducted comparative risk assessment using population attributable fractions (PAFs) to quantify risk-attributable DALYs, and decomposition analyses to assess the contributions of population growth, population ageing and epidemiologic change to changes in incident cases, deaths, and DALYs. Sensitivity analyses were also conducted to examine the robustness of the results. Findings: From 2000 to 2023, age-standardized DALY rates declined in four of the five major infectious disease cause groups in China. The largest decrease was observed for enteric infections, with DALY rates falling from 365.4 to 43.8 per 100,000 (EAPC -11.0% [95% CI -12.2 to -9.7]). Among all groups, respiratory infections and tuberculosis had the highest DALY burden throughout the study period, while their DALY rates decreased from 2559.5 to 688.1 per 100,000 (EAPC -8.1% [-9.2 to -7.0]). It's estimated that HIV/AIDS and sexually transmitted infections were the only cause group with an increasing DALY rate, rising from 79.7 to 103.7 per 100,000 (EAPC 1.0% [0.6 to 1.4]). The increase was greatest among adults aged 20-54 years, in whom DALY rates rose from 71.1 to 152.0 per 100,000 (EAPC 3.3% [2.7 to 3.9]). Risk attribution varied by cause and age group. Unsafe sex accounted for most DALYs for sexually transmitted infections excluding HIV and more than 70% of HIV/AIDS DALYs. For lower respiratory infections, child and maternal malnutrition accounted for 42.2% of DALYs in those aged < 20 years, whereas tobacco use accounted for 38.1% in adults aged 20-54 years. Enteric infection DALYs were mainly attributable to unsafe water, sanitation, and handwashing, accounting for more than 70% across age groups. Decomposition analysis showed that epidemiologic change was the main driver of changes in infectious disease burden from 2000 to 2023. Interpretation: China's infectious disease DALY burden declined from 2000 to 2023, but progress was uneven across causes and increasingly concentrated in older adults. Persistent incidence-DALY discordance and heterogeneous age-specific risk profiles indicate that current priority setting should move beyond incidence-led targets towards reducing preventable disability and premature mortality through age- and mechanism-tailored prevention and care. Funding: Prevention and Control of Emerging and Major Infectious Diseases-National Science and Technology Major Project.

Indexed as

ChinaDisability-adjusted life-years (DALYs)Global Burden of Disease (GBD) 2023IncidenceInfectious diseases

Identifiers

PMID42256488
PMCPMC13235520

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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.