journal article Open Access Aug 25, 2022

Culex pipiens distribution in Tunisia: Identification of suitable areas through Random Forest and MaxEnt approaches

Veterinary Medicine and Science Vol. 8 No. 6 pp. 2703-2715 · Wiley
Abstract
Abstract

Background

Tunisia has experienced several West Nile virus (WNV) outbreaks since 1997. Yet, there is limited information on the spatial distribution of the main WNV mosquito vector
Culex pipiens
suitability at the national level.



Objectives

In the present study, our aim was to predict and evaluate the potential and current distribution of
Cx. pipiens
in Tunisia.



Methods

To this end, two species distribution models were used, i.e. MaxEnt and Random Forest. Occurrence records for
Cx. pipiens
were obtained from adult and larvae sampled in Tunisia from 2014 to 2017. Climatic and human factors were used as predictors to model the
Cx. pipiens
geographical distribution. Mean decrease accuracy and mean decrease Gini indices were calculated to evaluate the importance of the impact of different environmental and human variables on the probability distribution of
Cx. pipiens
.



Results
Suitable habitats were mainly distributed next to oases, in the north and eastern part of the country. The most important predictor was the population density in both models. The study found out that the governorates of Monastir, Nabeul, Manouba, Ariana, Bizerte, Gabes, Medenine and Kairouan are at highest epidemic risk.


Conclusions

The potential distribution of
Cx. pipiens
coincides geographically with the observed distribution of the disease in humans in Tunisia. Our study has the potential for driving control effort in the fight against West Nile vector in Tunisia.
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References
Details
Published
Aug 25, 2022
Vol/Issue
8(6)
Pages
2703-2715
License
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Funding
Ministero della Salute
International Atomic Energy Agency
Cite This Article
Jihane Amdouni, Annamaria Conte, Carla Ippoliti, et al. (2022). Culex pipiens distribution in Tunisia: Identification of suitable areas through Random Forest and MaxEnt approaches. Veterinary Medicine and Science, 8(6), 2703-2715. https://doi.org/10.1002/vms3.897