Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France
Background: Although malaria disappeared from southern France more than 60 years ago, suspicions of recent autochthonous transmission in the French Mediterranean coast support the idea that the area could still be subject to malaria transmission. The main potential vector of malaria in the Camargue area, the largest river delta in southern France, is the mosquito Anopheles hyrcanus (Diptera: Culicidae). In the context of recent climatic and landscape changes, the evaluation of the risk of emergence or re-emergence of such a major disease is of great importance in Europe. When assessing the risk of emergence of vector-borne diseases, it is crucial to be able to characterize the arthropod vector's spatial distribution. Given that remote sensing techniques can describe some of the environmental parameters which drive this distribution, satellite imagery or aerial photographs could be used for vector mapping. Results: In this study, we propose a method to map larval and adult populations of An. hyrcanus based on environmental indices derived from high spatial resolution imagery. The analysis of the link between entomological field data on An. hyrcanus larvae and environmental indices (biotopes, distance to the nearest main productive breeding sites of this species i.e., rice fields) led to the definition of a larval index, defined as the probability of observing An. hyrcanus larvae in a given site at least once over a year. Independent accuracy assessments showed a good agreement between observed and predicted values (sensitivity and specificity of the logistic regression model being 0.76 and 0.78, respectively). An adult index was derived from the larval index by averaging the larval index within a buffer around the trap location. This index was highly correlated with observed adult abundance values (Pearson r = 0.97, p < 0.05). This allowed us to generate predictive maps of An. hyrcanus larval and adult populations from the landscape indices. Conclusion: This work shows that it is possible to use high resolution satellite imagery to map malaria vector spatial distribution. It also confirms the potential of remote sensing to help target risk areas, and constitutes a first essential step in assessing the risk of re-emergence of malaria in southern France.
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Subjects: | U30 - Méthodes de recherche, L73 - Maladies des animaux, L72 - Organismes nuisibles des animaux, Anopheles, malaria, vecteur de maladie, dynamique des populations, télédétection, évaluation du risque, http://aims.fao.org/aos/agrovoc/c_462, http://aims.fao.org/aos/agrovoc/c_34312, http://aims.fao.org/aos/agrovoc/c_8164, http://aims.fao.org/aos/agrovoc/c_6111, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_37932, http://aims.fao.org/aos/agrovoc/c_3081, |
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U30 - Méthodes de recherche L73 - Maladies des animaux L72 - Organismes nuisibles des animaux Anopheles malaria vecteur de maladie dynamique des populations télédétection évaluation du risque http://aims.fao.org/aos/agrovoc/c_462 http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_8164 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_3081 U30 - Méthodes de recherche L73 - Maladies des animaux L72 - Organismes nuisibles des animaux Anopheles malaria vecteur de maladie dynamique des populations télédétection évaluation du risque http://aims.fao.org/aos/agrovoc/c_462 http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_8164 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_3081 |
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U30 - Méthodes de recherche L73 - Maladies des animaux L72 - Organismes nuisibles des animaux Anopheles malaria vecteur de maladie dynamique des populations télédétection évaluation du risque http://aims.fao.org/aos/agrovoc/c_462 http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_8164 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_3081 U30 - Méthodes de recherche L73 - Maladies des animaux L72 - Organismes nuisibles des animaux Anopheles malaria vecteur de maladie dynamique des populations télédétection évaluation du risque http://aims.fao.org/aos/agrovoc/c_462 http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_8164 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_3081 Tran, Annelise Ponçon, Nicolas Toty, Céline Linard, Catherine Guis, Hélène Ferré, Jean-Baptiste Lo Seen, Danny Roger, François De La Rocque, Stéphane Fontenille, Didier Baldet, Thierry Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France |
description |
Background: Although malaria disappeared from southern France more than 60 years ago, suspicions of recent autochthonous transmission in the French Mediterranean coast support the idea that the area could still be subject to malaria transmission. The main potential vector of malaria in the Camargue area, the largest river delta in southern France, is the mosquito Anopheles hyrcanus (Diptera: Culicidae). In the context of recent climatic and landscape changes, the evaluation of the risk of emergence or re-emergence of such a major disease is of great importance in Europe. When assessing the risk of emergence of vector-borne diseases, it is crucial to be able to characterize the arthropod vector's spatial distribution. Given that remote sensing techniques can describe some of the environmental parameters which drive this distribution, satellite imagery or aerial photographs could be used for vector mapping. Results: In this study, we propose a method to map larval and adult populations of An. hyrcanus based on environmental indices derived from high spatial resolution imagery. The analysis of the link between entomological field data on An. hyrcanus larvae and environmental indices (biotopes, distance to the nearest main productive breeding sites of this species i.e., rice fields) led to the definition of a larval index, defined as the probability of observing An. hyrcanus larvae in a given site at least once over a year. Independent accuracy assessments showed a good agreement between observed and predicted values (sensitivity and specificity of the logistic regression model being 0.76 and 0.78, respectively). An adult index was derived from the larval index by averaging the larval index within a buffer around the trap location. This index was highly correlated with observed adult abundance values (Pearson r = 0.97, p < 0.05). This allowed us to generate predictive maps of An. hyrcanus larval and adult populations from the landscape indices. Conclusion: This work shows that it is possible to use high resolution satellite imagery to map malaria vector spatial distribution. It also confirms the potential of remote sensing to help target risk areas, and constitutes a first essential step in assessing the risk of re-emergence of malaria in southern France. |
format |
article |
topic_facet |
U30 - Méthodes de recherche L73 - Maladies des animaux L72 - Organismes nuisibles des animaux Anopheles malaria vecteur de maladie dynamique des populations télédétection évaluation du risque http://aims.fao.org/aos/agrovoc/c_462 http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_8164 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Tran, Annelise Ponçon, Nicolas Toty, Céline Linard, Catherine Guis, Hélène Ferré, Jean-Baptiste Lo Seen, Danny Roger, François De La Rocque, Stéphane Fontenille, Didier Baldet, Thierry |
author_facet |
Tran, Annelise Ponçon, Nicolas Toty, Céline Linard, Catherine Guis, Hélène Ferré, Jean-Baptiste Lo Seen, Danny Roger, François De La Rocque, Stéphane Fontenille, Didier Baldet, Thierry |
author_sort |
Tran, Annelise |
title |
Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France |
title_short |
Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France |
title_full |
Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France |
title_fullStr |
Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France |
title_full_unstemmed |
Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France |
title_sort |
using remote sensing to map larval and adult populations of anopheles hyrcanus (diptera: culicidae) a potential malaria vector in southern france |
url |
http://agritrop.cirad.fr/543916/ http://agritrop.cirad.fr/543916/1/document_543916.pdf |
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dig-cirad-fr-5439162024-01-28T15:47:48Z http://agritrop.cirad.fr/543916/ http://agritrop.cirad.fr/543916/ Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France. Tran Annelise, Ponçon Nicolas, Toty Céline, Linard Catherine, Guis Hélène, Ferré Jean-Baptiste, Lo Seen Danny, Roger François, De La Rocque Stéphane, Fontenille Didier, Baldet Thierry. 2008. International Journal of Health Geographics, 7 (9), 12 p.https://doi.org/10.1186/1476-072X-7-9 <https://doi.org/10.1186/1476-072X-7-9> Using remote sensing to map larval and adult populations of Anopheles hyrcanus (Diptera: Culicidae) a potential malaria vector in Southern France Tran, Annelise Ponçon, Nicolas Toty, Céline Linard, Catherine Guis, Hélène Ferré, Jean-Baptiste Lo Seen, Danny Roger, François De La Rocque, Stéphane Fontenille, Didier Baldet, Thierry eng 2008 International Journal of Health Geographics U30 - Méthodes de recherche L73 - Maladies des animaux L72 - Organismes nuisibles des animaux Anopheles malaria vecteur de maladie dynamique des populations télédétection évaluation du risque http://aims.fao.org/aos/agrovoc/c_462 http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_8164 http://aims.fao.org/aos/agrovoc/c_6111 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37932 France http://aims.fao.org/aos/agrovoc/c_3081 Background: Although malaria disappeared from southern France more than 60 years ago, suspicions of recent autochthonous transmission in the French Mediterranean coast support the idea that the area could still be subject to malaria transmission. The main potential vector of malaria in the Camargue area, the largest river delta in southern France, is the mosquito Anopheles hyrcanus (Diptera: Culicidae). In the context of recent climatic and landscape changes, the evaluation of the risk of emergence or re-emergence of such a major disease is of great importance in Europe. When assessing the risk of emergence of vector-borne diseases, it is crucial to be able to characterize the arthropod vector's spatial distribution. Given that remote sensing techniques can describe some of the environmental parameters which drive this distribution, satellite imagery or aerial photographs could be used for vector mapping. Results: In this study, we propose a method to map larval and adult populations of An. hyrcanus based on environmental indices derived from high spatial resolution imagery. The analysis of the link between entomological field data on An. hyrcanus larvae and environmental indices (biotopes, distance to the nearest main productive breeding sites of this species i.e., rice fields) led to the definition of a larval index, defined as the probability of observing An. hyrcanus larvae in a given site at least once over a year. Independent accuracy assessments showed a good agreement between observed and predicted values (sensitivity and specificity of the logistic regression model being 0.76 and 0.78, respectively). An adult index was derived from the larval index by averaging the larval index within a buffer around the trap location. This index was highly correlated with observed adult abundance values (Pearson r = 0.97, p < 0.05). This allowed us to generate predictive maps of An. hyrcanus larval and adult populations from the landscape indices. Conclusion: This work shows that it is possible to use high resolution satellite imagery to map malaria vector spatial distribution. It also confirms the potential of remote sensing to help target risk areas, and constitutes a first essential step in assessing the risk of re-emergence of malaria in southern France. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/543916/1/document_543916.pdf application/pdf cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1186/1476-072X-7-9 10.1186/1476-072X-7-9 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=199706 info:eu-repo/semantics/altIdentifier/doi/10.1186/1476-072X-7-9 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1186/1476-072X-7-9 |