ReviewInfectious diseases of poverty2022
Establishment of an indicator framework for the transmission risk of the mountain-type zoonotic visceral leishmaniasis based on the Delphi-entropy weight method.
Review in Infectious diseases of poverty, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 16 citations in OpenAlex.
- A county-level indicator framework for assessing schistosomiasis transmission risk in post-transmission-interruption China.Infectious diseases of poverty · 2026Article
- Zoonotic leishmaniasis in China: Current status and challenges to elimination.PLoS neglected tropical diseases · 2026Review
- Expanding mountain-type zoonotic visceral leishmaniasis in China: a multi-source data-driven investigation.The Lancet regional health. Western Pacific · 2026Article
- An observational study to test the potency of GLP-grade phenol-free lyophilised leishmanin antigen formulation.EBioMedicine · 2026Article
- Global, regional, and national age-gender-specific trends, decomposition analysis, and Bayesian age-period-cohort modelling for projections of the burden of leishmaniasis: A population-based ecological study.Current research in parasitology & vector-borne diseases · 2026Article
- Targeting environmental determinants and settlements in public health planning for the containment of visceral leishmaniasis: a One Health perspective.Frontiers in public health · 2026Article
- Unsupervised learning-based optimization of college students' fundamental capacity evaluation method.Frontiers in physiology · 2026Article
- Medical service performance evaluation of tertiary general hospitals in Sichuan Province in China based on diagnosis-related groups.BMC health services research · 2025Article
- Developing a crisis leadership evaluation system for Chinese nursing staff during major infectious disease emergencies: a modified Delphi study.BMC nursing · 2025Article
- African Schistosomiasis: A Framework of Indicators Assessing the Transmission Risk and Intervention Effectiveness.Tropical medicine and infectious disease · 2024Article
- Performance analysis of markers for prostate cell typing in single-cell data.Genes & diseases · 2024Article
- Chronic stress in adulthood results in microvascular dysfunction and subsequent depressive-like behavior.Scientific reports · 2024Article
- Geography and health: role of human translocation and access to care.Infectious diseases of poverty · 2024Article
- Accelerating the Control and Elimination of Major Parasitic Diseases in China - On World NTD Day 2024.China CDC weekly · 2024Review
- Construction of an indicator framework for vaccine inclusion in public health programs: A Delphi-entropy method study.Human vaccines & immunotherapeutics · 2023Article
- A deep learning model adjusting for infant gender, age, height, and weight to determine whether the individual infant suit ultrasound examination of developmental dysplasia of the hip (DDH).Frontiers in pediatrics · 2023Article
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundVisceral 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.
methodsBased 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.
resultsTwo 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).
conclusionsAn indicator framework of transmission risk assessment for MT-ZVL was established using the Delphi-entropy weight method. The framework provides a practical tool to evaluate transmission risk in endemic areas.
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