Evidence map›Paper›PMID 40484939›Full record

ArticleInfectious diseases of poverty2025

Global estimation of dengue disability weights based on clinical manifestations data.

Han-Qi Ouyang, Zi-Yu Zhao, Okugbe Ebiotubo Ohore, Wei-Hao Li, Li Hong, Li-Ying Wang, Hong-Rui Zhang, Fu-Chun Zhang, Raman Velayudhan, Daniel Argaw Dagne and 2 more

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 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.

Han-Qi OuyangSchool of Public Health, Hainan Medical University (Hainan Academy of Medical Sciences), Haikou, Hainan, China.
Zi-Yu ZhaoSchool of Public Health, Hainan Medical University (Hainan Academy of Medical Sciences), Haikou, Hainan, China.
Okugbe Ebiotubo OhoreNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University (Hainan Academy of Medical Sciences), Haikou, Hainan, China.
Wei-Hao LiSchool of Public Health, Hainan Medical University (Hainan Academy of Medical Sciences), Haikou, Hainan, China.
Li HongSchool of Public Health, Hainan Medical University (Hainan Academy of Medical Sciences), Haikou, Hainan, China.
Li-Ying WangNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University (Hainan Academy of Medical Sciences), Haikou, Hainan, China.
Hong-Rui ZhangNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University (Hainan Academy of Medical Sciences), Haikou, Hainan, China.
Fu-Chun ZhangGuangzhou Medical Research Institute of Infectious Diseases, Infectious Disease Center, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510440, China.
Raman VelayudhanDepartment of Control of Neglected Tropical Diseases, World Health Organization, Geneva, Switzerland.
Daniel Argaw DagneDepartment of Control of Neglected Tropical Diseases, World Health Organization, Geneva, Switzerland.
Ibrahima Socé FallDepartment of Control of Neglected Tropical Diseases, World Health Organization, Geneva, Switzerland.
Guo-Jing YangSchool of Public Health, Hainan Medical University (Hainan Academy of Medical Sciences), Haikou, Hainan, China. guojingyang@hotmail.com.ORCID 0000-0001-5102-7869

Funding

Basic and applied basic research project jointly funded by the University of Guangzhou 2023A03J0810National Key Research and Development Program of People's Republic of China 2021YFC2300800National Key Research and Development Program of People's Republic of China 2021YFC2300804National Natural Science Foundation of China 82260655the Key R&D Program of Guangdong Province 2022B1111030002World Health Organization 001
6 · The paper itself

Abstract

backgroundDengue is a major global health threat with varied clinical manifestations across age groups, countries, and regions. This study aims to estimate global dengue disability weights (DWs) based on clinical manifestations data and examine variations across different demographics and geographical areas. These findings will inform public health strategies and interventions to reduce the global burden of dengue.

methodsWe conducted a systematic search across six databases (Scopus, Web of Science, PubMed, China National Knowledge Infrastructure, Wanfang Data, and Database of Chinese sci-tech periodicals) for studies on human dengue clinical manifestations or infection from the establishment of each database through December 31, 2023. DWs were estimated by combining clinical manifestations frequencies with corresponding DW values derived from the Global Burden of Disease (GBD) study, using Monte Carlo simulations to generate uncertainty intervals. Odds ratios (ORs) with 95% confidence intervals (CI) and Chi-square tests were performed to compare clinical manifestations between adults and children.

resultsA total of 35 adult studies (7109 cases) and 17 pediatric studies (2996 cases) were analysed. Adults had higher rates of muscle pain (OR = 9.18; 95% CI: 8.17-10.33) and weak (OR = 4.95; 95% CI 4.12-5.98). Children showed higher frequencies of decreased appetite (OR = 0.12; 95% CI: 0.11-0.14) and lymphadenectasis (OR = 0.04; 95% CI: 0.03-0.06). Severe dengue was more prevalent in children (8.2%) than adults (4.6%). The global DW for universal dengue was 0.3258 in adults and 0.4022 in children, with Indian children showing the highest DW for severe dengue (0.6991) and Chinese adult showing the highest DW for severe dengue (0.7214). Regionally, most studies were from South and Southeast Asia, with India contributing the largest number of publications (80 articles). Additionally, India had the highest dengue disease burden in 2021 (352,468.54 person-years).

conclusionsThese findings reveal important age and regional differences in dengue disease burden. There is a relative lack of research on dengue clinical manifestations in several high-burden countries in the Americas, and these gaps may affect the comprehensiveness and accuracy of global dengue disability weight estimates. These highlight the urgent need for targeted interventions and optimized resource allocation to mitigate its global impact.

Indexed as

DengueDisability EvaluationGlobal HealthPersons with DisabilitiesAdolescentAdultChildGlobal Burden of DiseaseHumansClinical manifestationDengueDisability weightMeta-analysisRegion-specific

Identifiers

PMID40484939
PMCPMC12147332

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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.