2021
DOI: 10.3389/fpubh.2021.611152
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Modeling the Potential Distribution of the Malaria Vector Anopheles (Ano.) pseudopunctipennis Theobald (Diptera: Culicidae) in Arid Regions of Northern Chile

Abstract: The extreme north of Chile presents a subtropical climate permissive of the establishment of potential disease vectors. Anopheles (Ano.) pseudopunctipennis is distributed from the south of the United States to the north of Argentina and Chile, and is one of the main vectors of malaria in Latin America. Malaria was eradicated from Chile in 1945. Nevertheless, the vector persists in river ravines of the Arica and Tarapacá regions. The principal effect of climate change in the north of Chile is temperature increa… Show more

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Cited by 11 publications
(11 citation statements)
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References 33 publications
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“…For a single model, the out-of-sample performance of RF and FDA was best, and SRE and MAXENT were worst. Although MAXENT has been used in some studies to predict malaria distribution, 18,39,73 its out-of-sample performance was less ideal in our study. Further, studies have shown that a single model did not perform well under various conditions, 35,46,74,75 which influences the effectiveness of model predictions.…”
Section: Discussionmentioning
confidence: 89%
See 1 more Smart Citation
“…For a single model, the out-of-sample performance of RF and FDA was best, and SRE and MAXENT were worst. Although MAXENT has been used in some studies to predict malaria distribution, 18,39,73 its out-of-sample performance was less ideal in our study. Further, studies have shown that a single model did not perform well under various conditions, 35,46,74,75 which influences the effectiveness of model predictions.…”
Section: Discussionmentioning
confidence: 89%
“…3 Species distribution models are pivotal tools for forecasting and comprehending species distributions and have successfully identified the risk distribution of a disease in an area by changing environmental variables, including a dozen algorithms. [39][40][41] Messina et al used the boosted regression tree to predict the distribution of dengue and population at risk. 42 Manyangadzer et al used the negative binomial generalized linear mixed model to predict the spatial distribution of schistosomiasis infections.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies have used an ecological niche modelling approach to model the species distribution of Anopheles mosquitoes. Studies where the maximum entropy tool was used to determine the spatial distribution of the local Anopheles mosquito species have been undertaken in regions all over the world, including Asia and the Middle East [ 9 ], South America [ 10 , 11 ], and Africa [ 12 , 13 ]. MaxEnt has also been used to model the effects of climate change on malaria transmission and Anopheles species density in China [ 14 ], Iran [ 15 ], and parts of Africa [ 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…darlingi requires high levels of humidity to develop its life cycle [ 15 ]; nevertheless, both species are considered dominant malaria vectors [ 7 , 8 ]. Climate change is predicted to have a direct effect on the distribution and dynamics of human malaria vectors [ 16 , 17 ]. Consequently, continuous monitoring of changes in the distribution of vector species and their bionomic characteristics is relevant for decision makers in each country to efficiently channel resources for malaria control.…”
Section: Introductionmentioning
confidence: 99%