Application of structural equation models for elucidating the ecological drivers of Anopheles sinensis in the three gorges reservoir

PLoS One. 2013 Jul 30;8(7):e68766. doi: 10.1371/journal.pone.0068766. Print 2013.

Abstract

Objective: To identify the major ecological drivers for malaria vector density using the structural equation model (SEM) in the Three Gorges Reservoir.

Method: An 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.

Result: The 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.

Conclusion: SEM 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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Anopheles*
  • China
  • Ecosystem*
  • Factor Analysis, Statistical
  • Geography
  • Humans
  • Insect Vectors*
  • Longitudinal Studies
  • Malaria* / epidemiology
  • Malaria* / transmission
  • Models, Statistical*

Grants and funding

The work was supported financially by the Public Project (20080219) of Ministry of Science and Technology in China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.