A quantitative risk assessment approach for mosquito-borne diseases : Malaria re-emergence in southern France
Background: The Camargue region is a former malaria endemic area, where potential Anopheles vectors are still abundant. Considering the importation of Plasmodium due to the high number of imported malaria cases in France, the aim of this article was to make some predictions regarding the risk of malaria re-emergence in the Camargue. Methods: Receptivity (vectorial capacity) and infectivity (vector susceptibility) were inferred using an innovative probabilistic approach and considering both Plasmodium falciparum and Plasmodium vivax. Each parameter of receptivity (human biting rate, anthropophily, length of trophogonic cycle, survival rate, length of sporogonic cycle) and infectivity were estimated based on field survey, bibliographic data and expert knowledge and fitted with probability distributions taking into account the variability and the uncertainty of the estimation. Spatial and temporal variations of the parameters were determined using environmental factors derived from satellite imagery, meteorological data and entomological field data. The entomological risk (receptivity/infectivity) was calculated using 10,000 different randomly selected sets of values extracted from the probability distributions. The result was mapped in the Camargue area. Finally, vulnerability (number of malaria imported cases) was inferred using data collected in regional hospitals. Results: The entomological risk presented large spatial, temporal and Plasmodium speciesdependent variations. The sensitivity analysis showed that susceptibility, survival rate and human biting rate were the three most influential parameters for entomological risk. Assessment of vulnerability showed that among the imported cases in the region, only very few were imported in at-risk areas. Conclusion: The current risk of malaria re-emergence seems negligible due to the very low number of imported Plasmodium. This model demonstrated its efficiency for mosquito-borne diseases risk assessment.
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Subjects: | S50 - Santé humaine, malaria, épidémiologie, évaluation du risque, Plasmodium falciparum, Plasmodium vivax, cartographie, pathologie humaine, http://aims.fao.org/aos/agrovoc/c_34312, http://aims.fao.org/aos/agrovoc/c_2615, http://aims.fao.org/aos/agrovoc/c_37932, http://aims.fao.org/aos/agrovoc/c_31217, http://aims.fao.org/aos/agrovoc/c_31219, http://aims.fao.org/aos/agrovoc/c_1344, http://aims.fao.org/aos/agrovoc/c_11634, http://aims.fao.org/aos/agrovoc/c_3081, |
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dig-cirad-fr-5472772024-01-28T16:34:53Z http://agritrop.cirad.fr/547277/ http://agritrop.cirad.fr/547277/ A quantitative risk assessment approach for mosquito-borne diseases : Malaria re-emergence in southern France. Ponçon Nicolas, Tran Annelise, Toty Céline, Luty Adrian, Fontenille Didier. 2008. Malaria Journal, 7 (1), suppl., 13 p.https://doi.org/10.1186/1475-2875-7-147 <https://doi.org/10.1186/1475-2875-7-147> A quantitative risk assessment approach for mosquito-borne diseases : Malaria re-emergence in southern France Ponçon, Nicolas Tran, Annelise Toty, Céline Luty, Adrian Fontenille, Didier eng 2008 Malaria Journal S50 - Santé humaine malaria épidémiologie évaluation du risque Plasmodium falciparum Plasmodium vivax cartographie pathologie humaine http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_31217 http://aims.fao.org/aos/agrovoc/c_31219 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_11634 France http://aims.fao.org/aos/agrovoc/c_3081 Background: The Camargue region is a former malaria endemic area, where potential Anopheles vectors are still abundant. Considering the importation of Plasmodium due to the high number of imported malaria cases in France, the aim of this article was to make some predictions regarding the risk of malaria re-emergence in the Camargue. Methods: Receptivity (vectorial capacity) and infectivity (vector susceptibility) were inferred using an innovative probabilistic approach and considering both Plasmodium falciparum and Plasmodium vivax. Each parameter of receptivity (human biting rate, anthropophily, length of trophogonic cycle, survival rate, length of sporogonic cycle) and infectivity were estimated based on field survey, bibliographic data and expert knowledge and fitted with probability distributions taking into account the variability and the uncertainty of the estimation. Spatial and temporal variations of the parameters were determined using environmental factors derived from satellite imagery, meteorological data and entomological field data. The entomological risk (receptivity/infectivity) was calculated using 10,000 different randomly selected sets of values extracted from the probability distributions. The result was mapped in the Camargue area. Finally, vulnerability (number of malaria imported cases) was inferred using data collected in regional hospitals. Results: The entomological risk presented large spatial, temporal and Plasmodium speciesdependent variations. The sensitivity analysis showed that susceptibility, survival rate and human biting rate were the three most influential parameters for entomological risk. Assessment of vulnerability showed that among the imported cases in the region, only very few were imported in at-risk areas. Conclusion: The current risk of malaria re-emergence seems negligible due to the very low number of imported Plasmodium. This model demonstrated its efficiency for mosquito-borne diseases risk assessment. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/547277/1/document_547277.pdf application/pdf Cirad license info:eu-repo/semantics/openAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1186/1475-2875-7-147 10.1186/1475-2875-7-147 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=202420 info:eu-repo/semantics/altIdentifier/doi/10.1186/1475-2875-7-147 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1186/1475-2875-7-147 |
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S50 - Santé humaine malaria épidémiologie évaluation du risque Plasmodium falciparum Plasmodium vivax cartographie pathologie humaine http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_31217 http://aims.fao.org/aos/agrovoc/c_31219 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_11634 http://aims.fao.org/aos/agrovoc/c_3081 S50 - Santé humaine malaria épidémiologie évaluation du risque Plasmodium falciparum Plasmodium vivax cartographie pathologie humaine http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_31217 http://aims.fao.org/aos/agrovoc/c_31219 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_11634 http://aims.fao.org/aos/agrovoc/c_3081 |
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S50 - Santé humaine malaria épidémiologie évaluation du risque Plasmodium falciparum Plasmodium vivax cartographie pathologie humaine http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_31217 http://aims.fao.org/aos/agrovoc/c_31219 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_11634 http://aims.fao.org/aos/agrovoc/c_3081 S50 - Santé humaine malaria épidémiologie évaluation du risque Plasmodium falciparum Plasmodium vivax cartographie pathologie humaine http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_31217 http://aims.fao.org/aos/agrovoc/c_31219 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_11634 http://aims.fao.org/aos/agrovoc/c_3081 Ponçon, Nicolas Tran, Annelise Toty, Céline Luty, Adrian Fontenille, Didier A quantitative risk assessment approach for mosquito-borne diseases : Malaria re-emergence in southern France |
description |
Background: The Camargue region is a former malaria endemic area, where potential Anopheles vectors are still abundant. Considering the importation of Plasmodium due to the high number of imported malaria cases in France, the aim of this article was to make some predictions regarding the risk of malaria re-emergence in the Camargue. Methods: Receptivity (vectorial capacity) and infectivity (vector susceptibility) were inferred using an innovative probabilistic approach and considering both Plasmodium falciparum and Plasmodium vivax. Each parameter of receptivity (human biting rate, anthropophily, length of trophogonic cycle, survival rate, length of sporogonic cycle) and infectivity were estimated based on field survey, bibliographic data and expert knowledge and fitted with probability distributions taking into account the variability and the uncertainty of the estimation. Spatial and temporal variations of the parameters were determined using environmental factors derived from satellite imagery, meteorological data and entomological field data. The entomological risk (receptivity/infectivity) was calculated using 10,000 different randomly selected sets of values extracted from the probability distributions. The result was mapped in the Camargue area. Finally, vulnerability (number of malaria imported cases) was inferred using data collected in regional hospitals. Results: The entomological risk presented large spatial, temporal and Plasmodium speciesdependent variations. The sensitivity analysis showed that susceptibility, survival rate and human biting rate were the three most influential parameters for entomological risk. Assessment of vulnerability showed that among the imported cases in the region, only very few were imported in at-risk areas. Conclusion: The current risk of malaria re-emergence seems negligible due to the very low number of imported Plasmodium. This model demonstrated its efficiency for mosquito-borne diseases risk assessment. |
format |
article |
topic_facet |
S50 - Santé humaine malaria épidémiologie évaluation du risque Plasmodium falciparum Plasmodium vivax cartographie pathologie humaine http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_31217 http://aims.fao.org/aos/agrovoc/c_31219 http://aims.fao.org/aos/agrovoc/c_1344 http://aims.fao.org/aos/agrovoc/c_11634 http://aims.fao.org/aos/agrovoc/c_3081 |
author |
Ponçon, Nicolas Tran, Annelise Toty, Céline Luty, Adrian Fontenille, Didier |
author_facet |
Ponçon, Nicolas Tran, Annelise Toty, Céline Luty, Adrian Fontenille, Didier |
author_sort |
Ponçon, Nicolas |
title |
A quantitative risk assessment approach for mosquito-borne diseases : Malaria re-emergence in southern France |
title_short |
A quantitative risk assessment approach for mosquito-borne diseases : Malaria re-emergence in southern France |
title_full |
A quantitative risk assessment approach for mosquito-borne diseases : Malaria re-emergence in southern France |
title_fullStr |
A quantitative risk assessment approach for mosquito-borne diseases : Malaria re-emergence in southern France |
title_full_unstemmed |
A quantitative risk assessment approach for mosquito-borne diseases : Malaria re-emergence in southern France |
title_sort |
quantitative risk assessment approach for mosquito-borne diseases : malaria re-emergence in southern france |
url |
http://agritrop.cirad.fr/547277/ http://agritrop.cirad.fr/547277/1/document_547277.pdf |
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