Evidence map›Paper›PMID 42163421›Full record

ArticleTropical medicine and health2026

Optimization of regional echinococcosis control strategies in Xizang: a health economics perspective.

Zhiyi Wang, Quzhen Gongsang, Mingzhe Jiang, Jiaxi Lei, Pin Yang, Ying Wang, Liying Wang

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In one paragraph

Article in Tropical medicine and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhiyi WangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Ministry of Science and Technology, Shanghai, China.
Quzhen GongsangXizang Center for Disease Control and Prevention, Lhasa, China.
Mingzhe JiangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Ministry of Science and Technology, Shanghai, China.
Jiaxi LeiNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Ministry of Science and Technology, Shanghai, China.
Pin YangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Ministry of Science and Technology, Shanghai, China.
Ying WangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Ministry of Science and Technology, Shanghai, China.
Liying WangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Chinese Center for Tropical Diseases Research, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Ministry of Science and Technology, Shanghai, China. wangliyingcdc@163.com.ORCID http://orcid.org/0000-0002-2692-2770

Funding

NHC Key Laboratory of Echinococcosis Prevention and Control, China No. 2024WZK1001Science and Technology Innovation Support Plan of Institute for Parasitic Disease Control and Prevention, China Center for Disease Control and Prevention TF2024005
6 · The paper itself

Abstract

backgroundEchinococcosis remains a major public health concern in Xizang, China, where comprehensive control measures have been implemented for many years. Evaluating the cost-effectiveness of key interventions, including population screening, patient treatment, and dog deworming, is essential for optimizing control strategies and improving health resource allocation.

methodsAnnual data on the three major echinococcosis prevention and control measures implemented in 74 counties of Xizang between 2015 and 2022 were collected. The costs of population screening, patient treatment, and dog deworming were estimated. By comparing the actual disability-adjusted life years (DALYs) of echinococcosis in each county with the estimated DALYs under a no-intervention scenario, the DALYs averted by the prevention and control measures were quantified. Cost-effectiveness analysis was conducted using the incremental cost-effectiveness ratio (ICER) and the ICER-to-GDP ratio.

resultsFrom 2015 to 2022, the total investment in the three major prevention and control measures for echinococcosis in Xizang amounted to 14,519.41 10k CNY. During this period, the interventions cumulatively averted 12,531.9 DALYs. The average ICER was 1.16 10k CNY per DALY averted, corresponding to an ICER-to-GDP ratio of 0.20. Overall, the implemented interventions demonstrated favorable cost-effectiveness and health benefits in most regions, although substantial disparities were observed across different areas. Notably, eight counties had an ICER exceeding 6.00 10k CNY/DALY, and ten counties had an ICER-to-GDP ratio greater than 1.

conclusionsThe comprehensive echinococcosis prevention and control measures in Xizang have significantly reduced the disease burden and demonstrated overall favorable cost-effectiveness. However, cost-effectiveness varied considerably across regions. Strategies should be dynamically adjusted based on local epidemiological characteristics, with targeted interventions implemented to optimize health resource allocation and improve prevention and control efficiency.

Indexed as

Cost-effectiveness analysisDisability-adjusted life yearsEchinococcosisHealth economics

Identifiers

PMID42163421
PMCPMC13244631

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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.