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A county-level indicator framework for assessing schistosomiasis transmission risk in post-transmission-interruption China 认领 引用
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作者 Andong Xu Hong Zhu +6 位作者 Jing Xu Xiaowei Shan Yi Dong Hongqiong Wang Chao Lv Shiyi Huo Shizhu Li 《Infectious Diseases of Poverty》 SCIE CSCD 2026年第3期49-63,共15页
Background In China’s post-transmission-interruption stage of schistosomiasis control,infection signals are often sparse,and conventional surveillance indicators focused on infection detection may not adequately capt... Background In China’s post-transmission-interruption stage of schistosomiasis control,infection signals are often sparse,and conventional surveillance indicators focused on infection detection may not adequately capture residual risk across heterogeneous ecological settings.This study aimed to develop an operational indicator framework for assessing schistosomiasis transmission risk and supporting routine risk assessment and management in this stage.Methods A county-level indicator framework for schistosomiasis transmission risk assessment was developed through a two-round Delphi consultation and weighted using a combined Delphi-entropy weight method.Using longitudinal data from six pilot counties during 2020–2024,an annual composite risk index(R)was calculated by weighted linear aggregation and classified into risk levels with trapezoidal fuzzy membership functions.Robustness was evaluated by perturbing the subjective preference coefficient(α)and examining the consistency of countyyear rankings across scenarios using Spearman’s rank correlation.Results The final framework comprised three first-level,twelve second-level,and thirty-nine third-level indicators spanning biological,environmental,and social domains.Across the six pilot counties,R ranged from 0.18 to 0.44 and the overall risk level was predominantly low.Nonetheless,distinct county-level risk profiles were observed between lake/marshland and mountainous settings.Risk rankings remained highly consistent underαperturbations(ρ=0.909–0.998),indicating good robustness of the assessment results.Conclusions This framework translates multidimensional determinants relevant to the re-establishment of schistosomiasis transmission into interpretable county-level risk profiles.It provides an operational tool to support targeted surveillance and more efficient allocation of control resources in low-endemicity contexts. 展开更多
关键词 Schistosomiasis Transmission interruption Transmission risk Indicator framework Delphi Entropy weight Fuzzy membership
Establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the Delphi-entropy weight method 认领 引用 被引量：11
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作者 Zhuowei Luo Zhengbin Zhou +6 位作者 Yuwan Hao Jiaxin Feng Yanfeng Gong Yuanyuan Li Yun Huang Yi Zhang Shizhu Li 《Infectious Diseases of Poverty》 SCIE CAS 2022年第6期27-37,共11页
Background: Visceral leishmaniasis (VL) is one of the most important neglected tropical diseases. Although VL was controlled in several regions of China during the last century, the mountain-type zoonotic visceral lei... Background: Visceral leishmaniasis (VL) is one of the most important neglected tropical diseases. Although VL was controlled in several regions of China during the last century, the mountain-type zoonotic visceral leishmaniasis (MT-ZVL) has reemerged in the hilly areas of China in recent decades. The purpose of this study was to construct an indicator framework for assessing the risk of the MT-ZVL in China, and to provide guidance for preventing disease.Methods: Based on a literature review and expert interview, a 3-level indicator framework was initially established in November 2021, and 28 experts were selected to perform two rounds of consultation using the Delphi method. The comprehensive weight of the tertiary indicators was determined by the Delphi and the entropy weight methods.Results: Two rounds of Delphi consultation were conducted. Four primary indicators, 11 secondary indicators, and 35 tertiary indicators were identified. The Delphi-entropy weight method was performed to calculate the comprehensive weight of the tertiary indicators. The normalized weights of the primary indicators were 0.268, 0.261, 0.242, and 0.229, respectively, for biological factors, interventions, environmental factors, and social factors. The normalized weights of the top four secondary indicators were 0.122, 0.120, 0.098, and 0.096, respectively, for climatic features, geographical features, sandflies, and dogs. Among the tertiary indicators, the top four normalized comprehensive weights were the population density of sandflies (0.076), topography (0.057), the population density of dogs, including tethering (0.056), and use of bed nets or other protective measures (0.056).Conclusions: An indicator framework of transmission risk assessment for MT-ZVL was established using the Delphientropy weight method. The framework provides a practical tool to evaluate transmission risk in endemic areas. 展开更多
关键词 Mountain-type zoonotic visceral leishmaniasis Transmission risk Indicator framework Delphi Entropy weight China
Concept and evaluation method of equipment system of systems contribution rate 认领 引用 被引量：2
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作者 Zhang Tianpeng Liu Tielin Yang Jun 《Journal of Southeast University(English Edition)》 EI CAS 2021年第3期317-324,共8页
To scientifically evaluate the equipment system of systems(SoS)contribution rate,a contribution rate calculation method based on a structural equation model(SEM)is proposed in this paper.The connotation and evaluation... To scientifically evaluate the equipment system of systems(SoS)contribution rate,a contribution rate calculation method based on a structural equation model(SEM)is proposed in this paper.The connotation and evaluation process of the equipment SoS contribution rate were redefined and standardized.To solve the existing problems in the application of the original contribution rate formula,a modified contribution rate calculation formula is proposed.Finally,the contribution rate evaluation index was divided into latent and explicit variables.The measurement and structural equations in the SEM were used to calculate and analyze the latent variables.The simulation results show that the number of defense lines of air defense weapon equipment has a greater impact on the linear configuration than the group configuration.When the number of K-type air defense weapons is sufficient,the two-layer linear configuration should be adopted with 20 air defense weapon systems.When the number of K-type air defense weapons is insufficient,the single-layer group configuration should be adopted with 12 air defense weapon systems. 展开更多
关键词 system of systems(SoS)contribution rate structural equation mode equipment SoS capability assessment evaluation indicator framework
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Overview of Ecological Restoration Technologies and Evaluation Systems 认领 引用 被引量：12
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作者 甄霖 闫慧敏 +5 位作者 胡云锋 薛智超 肖玉 谢高地 马建霞 王继军 《Journal of Resources and Ecology》 CSCD 2017年第4期315-324,共10页
Ecological degradation is a global problem, and ecological restoration technologies have played and will continue to play an important role in its mitigation. However, the lack of systematic research and evaluations o... Ecological degradation is a global problem, and ecological restoration technologies have played and will continue to play an important role in its mitigation. However, the lack of systematic research and evaluations of ecological technologies has thus far affected their effective application in vulnerable ecological regions. This study therefore provides an overview of the main technologies for remediating soil and water erosion, desertification, and rock desertification in China and throughout the world. It addresses key issues and recommends approaches for evaluating ecological restoration technologies. Restoration technology emerged as early as 1800. Over the years such technology has changed from single objective applications to multi-purpose, multi-objective applications employing strategies that take into account ecosystem rehabilitation and integrated ecological and socioeconomic development. Along with this technological evolution, different countries have taken pertinent actions as part of their restoration initiatives. However, key issues remain, including the lack of location-specific restoration technologies and a methodological strategy to assess and prioritize existing technologies. This study proposes a four-level analytical hierarchical framework in conjunction with an indicator system that highlights the establishment and adaptation of associative indicators, while also recommending a three-phase evaluation method（The Mert）, targeting The Mert to qualitative（quick and extensive） and quantitative（detailed） evaluations in order to select the most appropriate restoration technologies available. This study can also be used as a basis for understanding the evaluation and prioritization of restoration technologies, while increasing the awareness of decision makers and the public on the role of technology in restoring degraded ecosystems. 展开更多
关键词 vulnerable ecological regions ecological restoration technologies evolution indicator framework Three-Phase evaluation method
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Assessing food security performance from the One Health concept:an evaluation tool based on the Global One Health Index 认领 引用 被引量：3
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作者 Si-Yu Gu Fu-Min Chen +11 位作者 Chen-Sheng Zhang Yi-Bin Zhou Tian-Yun Li Ne Qiang Xiao-Xi Zhang Jing-Shu Liu Shu-Xun Wang Xue-Chen Yang Xiao-Kui Guo Qin-Qin Hu Xiao-Bei Deng Le-Fei Han 《Infectious Diseases of Poverty》 SCIE CAS CSCD 2023年第5期98-99,共2页
Background Food systems instantiate the complex interdependencies across humans,physical environments,and other organisms.Applying One Health approaches for agri-food system transformation,which adopts integrated and ... Background Food systems instantiate the complex interdependencies across humans,physical environments,and other organisms.Applying One Health approaches for agri-food system transformation,which adopts integrated and unifying approaches to optimize the overall health of humans,animals,plants,and environments,is crucial to enhance the sustainability of food systems.This study develops a potential assessment tool,named the global One Health index-Food Security(GOHI-FS),aiming to evaluate food security performance across countrieserritories from One Health perspective and identify relevant gaps that need to be improved for sustainable food systems.Methods We comprehensively reviewed existing frameworks and elements of food security.The indicator framework of GOHI-FS was conceptualized following the structure-process-outcome model and confirmed by expert advisory.Publicly available data in 2020 was collected for each indicator.The weighting strategy was determined by the Fuzzy Analytical Hierarchy Process.The data for each indicator was normalized and aggregated by weighted arithmetic mean.Linear regressions were performed to evaluate the associations of GOHI-FS with health and social-economic indicators.Results The GOHI-FS includes 5 first-level indicators,19 second-level indicators and 45 third-level indicators.There were 146 countrieserritories enrolled for evaluation.The highest average score of first-level indicators was Nutrition(69.8)and the lowest was Government Support and Response(31.3).There was regional heterogeneity of GOHI-FS scores.Higher median scores with interquartile range(IQR)were shown in North America(median:76.1,IQR:75.5-76.7),followed by Europe and Central Asia(median:66.9,IQR:60.1-74.3),East Asia and the Pacific(median:60.6,IQR:55.5-68.7),Latin America and the Caribbean(median:60.2,IQR:57.8-65.0),Middle East and North Africa(median:56.6,IQR:52.0-62.8),South Asia(median:51.1,IQR:46.7-53.8),and sub-Saharan Africa(median:41.4,IQR:37.2-46.5).We also found significant associations between GOHI-FS and GDP per capita,socio-demographic index,health expenditure and life expectancy.Conclusions GOHI-FS is a potential assessment tool to understand the gaps in food security across countrieserritories under the One Health concept.The pilot findings suggest notable gaps for sub-Saharan Africa in numerous aspects.Broad actions are needed globally to promote government support and response for food security. 展开更多
关键词 Food security One Health Index Indicator framework Assessment
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