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Estimation of disability weight for paragonimiasis: a systematic analysis
Yun Feng1,2,3, Thomas Fürst4,5, Lu Liu1,2,3
1Jiangsu Institute of Parasitic Diseases, 117 Meiyuan Yangxiang, Wuxi City, Jiangsu Province, 214064, People's Republic of China.
This study re-quantifies the disability weight for paragonimiasis, a neglected tropical disease. Findings suggest existing estimates need revision due to species variation and available morbidity data for better public health prioritization.
Area of Science:
- Medical Parasitology
- Tropical Medicine
- Public Health
Background:
- Paragonimiasis, caused by Paragonimus spp. helminths, is a neglected tropical disease.
- Quantification of human suffering from paragonimiasis varies significantly in Global Burden of Disease (GBD) estimates.
- This study aims to systematically review clinical cases and re-quantify the disability weight for human paragonimiasis.
Purpose of the Study:
- To systematically review clinical paragonimiasis cases.
- To re-quantify the disability weight (DW) associated with human paragonimiasis.
- To inform more accurate disease burden calculations and public health prioritization.
Main Methods:
- Systematic analysis of articles from multiple databases (PubMed, Web of Science, CNKI, etc.) using "paragonim*" combined with "clinical" or "infection" search terms.
- Inclusion criteria focused on reported clinical signs, confirmed diagnosis, and absence of comorbidities.
- Disability weights were modeled using decision trees (additive and multiplicative approaches) with Monte Carlo simulations for uncertainty analysis.
Main Results:
- Overall disability weight estimated at 0.1927 (additive) and 0.1791 (multiplicative) based on 5302 clinical cases.
- Significant uncertainty intervals (95% UI) were observed for both estimates.
- Disability weights for Paragonimus westermani were higher than for P. skrjabini, with lung outcomes and headache being major contributors.
Conclusions:
- The current disability weight for paragonimiasis requires reconsideration due to data availability and species-specific variations.
- Accurate calculation of paragonimiasis disease burden needs further modification.
- Findings have significant implications for public health research, monitoring, and control strategies.
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