ArticlePloS one2013
Application of structural equation models for elucidating the ecological drivers of Anopheles sinensis in the three gorges reservoir.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of causal and structural equation modeling in epidemiology: a systematic and critical review.BMC medical research methodology · 2026Pooled it
- Malaria Prevalence Near African Mangroves: Negative Association With Mangrove Extent, but Positive Association With Mangrove Greenness.Global change biology · 2026Article
- Modeling urban malaria infection in Anopheles stephensi hotspot area in Eastern Ethiopia: application of Structural Equation Modeling.BMC infectious diseases · 2025Article
- Nowcasting Vector Mosquito Abundance and Determining Its Association With Malaria Epidemics in South Korea.Transboundary and emerging diseases · 2025Article
- Towards an intelligent malaria outbreak warning model based intelligent malaria outbreak warning in the northern part of Benin, West Africa.BMC public health · 2024Article
- Association of Anopheles sinensis average abundance and climate factors: Use of mosquito surveillance data in Goyang, Korea.PloS one · 2020Article
- Disarmament is the New War, Gold is the New Opium, and Ecohealth is the Historic Victim.Environmental health insights · 2019Article
- Spatio-temporal analysis of malaria vectors in national malaria surveillance sites in China.Parasites & vectors · 2015Article
- Article
- A mixed method to evaluate burden of malaria due to flooding and waterlogging in Mengcheng County, China: a case study.PloS one · 2014Article
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5 authors.
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Abstract
objectiveTo identify the major ecological drivers for malaria vector density using the structural equation model (SEM) in the Three Gorges Reservoir.
methodAn 11-year longitudinal surveillance of malaria vector as well as its related ecological factors was carried out in the Three Gorges Reservoir. The Delphi method was used to identify associated ecological factors. The structural equation model was repeatedly corrected and improved by the corrected index, combined with the actual situation. The final model was defined by relative simplicity, best fitting as well as the practicality.
resultThe final model indicated that the direct effects of temperature, livestock, humidity, and breeding on the vector were 0.015, -0.228, 0.450, 0.516 respectively, their total effects on the vector were 0.359, -0.112, 0.850, and 0.043 through different pathways.
conclusionSEM was effective and convenient in elucidating the mechanism by which malaria vector dynamics operated in this study. It identified that the breeding had the highest direct effect on vector and played a key role for mediating effect of temperature and humidity.
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