World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

Plos One : Use of a Mixture Statistical Model in Studying Malaria Vectors Density, Volume 7

By Moreira, Luciano, A.

Click here to view

Book Id: WPLBN0003962132
Format Type: PDF eBook :
File Size:
Reproduction Date: 2015

Title: Plos One : Use of a Mixture Statistical Model in Studying Malaria Vectors Density, Volume 7  
Author: Moreira, Luciano, A.
Volume: Volume 7
Language: English
Subject: Journals, Science, Medical Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary)
Publication Date:
Publisher: Plos


APA MLA Chicago

Moreira, L. A. (n.d.). Plos One : Use of a Mixture Statistical Model in Studying Malaria Vectors Density, Volume 7. Retrieved from

Description : Vector control is a major step in the process of malaria control and elimination. This requires vector counts and appropriate statistical analyses of these counts. However, vector counts are often overdispersed. A non-parametric mixture of Poisson model (NPMP) is proposed to allow for overdispersion and better describe vector distribution. Mosquito collections using the Human Landing Catches as well as collection of environmental and climatic data were carried out from January to December 2009 in 28 villages in Southern Benin. A NPMP regression model with ‘‘village’’ as random effect is used to test statistical correlations between malaria vectors density and environmental and climatic factors. Furthermore, the villages were ranked using the latent classes derived from the NPMP model. Based on this classification of the villages, the impacts of four vector control strategies implemented in the villages were compared. Vector counts were highly variable and overdispersed with important proportion of zeros (75%). The NPMP model had a good aptitude to predict the observed values and showed that : i) proximity to freshwater body, market gardening, and high levels of rain were associated with high vector density: ii) water conveyance, cattle breeding, vegetation index were associated with low vector density. The 28 villages could then be ranked according to the mean vector number as estimated by the random part of the model after adjustment on all covariates. The NPMP model made it possible to describe the distribution of the vector across the study area. The villages were ranked according to the mean vector density after taking into account the most important covariates. This study demonstrates the necessity and possibility of adapting methods of vector counting and sampling to each setting.


Click To View

Additional Books

  • Plos One : the Bzip Protein Meab Mediate... (by )
  • Plos One : Yield Trends Are Insufficient... (by )
  • Plos One : Disentangling the Effects of ... (by )
  • Plos One : Association Between Plasminog... (by )
  • Plos One : Metformin Inhibits Angiotensi... (by )
  • Plos One : Multi-scale Modeling in Morph... (by )
  • Plos One : Talen-based Gene Disruption i... (by )
  • Plos One : Repetitive Concussive Traumat... (by )
  • Plos One : Mosquito Feeding Assays to De... (by )
  • Plos One : Imsa ; Integrated Metagenomic... (by )
  • Plos One : Tuberal Hypothalamic Neurons ... (by )
  • Plos One : Change in the Ipsilateral Mot... (by )
Scroll Left
Scroll Right


Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.