Remote sensing and multi-criteria evaluation for malaria risk mapping to support indoor residual spraying prioritization in the Central highlands of Madagascar

The National Malaria Control Program (NMCP) in Madagascar classifies Malagasy districts into two malaria situations: districts in the pre-elimination phase and districts in the control phase. Indoor residual spraying (IRS) is identified as the main intervention means to control malaria in the Central Highlands. However, it involves an important logistical mobilization and thus necessitates prioritization of interventions according to the magnitude of malaria risks. Our objectives were to map the malaria transmission risk and to develop a tool to support the Malagasy Ministry of Public Health (MoH) for selective IRS implementation. For the 2014–2016 period, different sources of remotely sensed data were used to update land cover information and substitute in situ climatic data. Spatial modeling was performed based on multi-criteria evaluation (MCE) to assess malaria risk. Models were mainly based on environment and climate. Three annual malaria risk maps were obtained for 2014, 2015, and 2016. Annual parasite incidence data were used to validate the results. In 2016, the validation of the model using a receiver operating characteristic (ROC) curve showed an accuracy of 0.736; 95% CI [0.669–0.803]. A free plugin for QGIS software was made available for NMCP decision makers to prioritize areas for IRS. An annual update of the model provides the basic information for decision making before each IRS campaign. In Madagascar and beyond, the availability of the free plugin for open-source software facilitates the transfer to the MoH and allows further application to other problems and contexts.

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Main Authors: Rakotoarison, Hobiniaina Anthonio, Rasamimalala, Mampionona, Rakotondramanga, Jean Marius, Ramiranirina, Brune, Franchard, Thierry, Kapesa, Laurent, Razafindrakoto, Jocelyn, Guis, Hélène, Tantely, Luciano Michaël, Girod, Romain, Rakotoniaina, Solofoarisoa, Baril, Laurence, Piola, Patrice, Rakotomanana, Fanjasoa
Format: article biblioteca
Language:eng
Subjects:L73 - Maladies des animaux, U30 - Méthodes de recherche, malaria, télédétection, évaluation du risque, distribution spatiale, http://aims.fao.org/aos/agrovoc/c_34312, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_37932, http://aims.fao.org/aos/agrovoc/c_36230, http://aims.fao.org/aos/agrovoc/c_4510,
Online Access:http://agritrop.cirad.fr/595784/
http://agritrop.cirad.fr/595784/1/remotesensing-12-01585.pdf
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spelling dig-cirad-fr-5957842024-01-29T02:48:18Z http://agritrop.cirad.fr/595784/ http://agritrop.cirad.fr/595784/ Remote sensing and multi-criteria evaluation for malaria risk mapping to support indoor residual spraying prioritization in the Central highlands of Madagascar. Rakotoarison Hobiniaina Anthonio, Rasamimalala Mampionona, Rakotondramanga Jean Marius, Ramiranirina Brune, Franchard Thierry, Kapesa Laurent, Razafindrakoto Jocelyn, Guis Hélène, Tantely Luciano Michaël, Girod Romain, Rakotoniaina Solofoarisoa, Baril Laurence, Piola Patrice, Rakotomanana Fanjasoa. 2020. Remote Sensing, 12, n.spéc. Remote Sensing for Health: from Fine-Scale Investigations towards Early-Warning Systems:1585, 22 p.https://doi.org/10.3390/rs12101585 <https://doi.org/10.3390/rs12101585> Remote sensing and multi-criteria evaluation for malaria risk mapping to support indoor residual spraying prioritization in the Central highlands of Madagascar Rakotoarison, Hobiniaina Anthonio Rasamimalala, Mampionona Rakotondramanga, Jean Marius Ramiranirina, Brune Franchard, Thierry Kapesa, Laurent Razafindrakoto, Jocelyn Guis, Hélène Tantely, Luciano Michaël Girod, Romain Rakotoniaina, Solofoarisoa Baril, Laurence Piola, Patrice Rakotomanana, Fanjasoa eng 2020 Remote Sensing L73 - Maladies des animaux U30 - Méthodes de recherche malaria télédétection évaluation du risque distribution spatiale http://aims.fao.org/aos/agrovoc/c_34312 http://aims.fao.org/aos/agrovoc/c_6498 http://aims.fao.org/aos/agrovoc/c_37932 http://aims.fao.org/aos/agrovoc/c_36230 Madagascar http://aims.fao.org/aos/agrovoc/c_4510 The National Malaria Control Program (NMCP) in Madagascar classifies Malagasy districts into two malaria situations: districts in the pre-elimination phase and districts in the control phase. Indoor residual spraying (IRS) is identified as the main intervention means to control malaria in the Central Highlands. However, it involves an important logistical mobilization and thus necessitates prioritization of interventions according to the magnitude of malaria risks. Our objectives were to map the malaria transmission risk and to develop a tool to support the Malagasy Ministry of Public Health (MoH) for selective IRS implementation. For the 2014–2016 period, different sources of remotely sensed data were used to update land cover information and substitute in situ climatic data. Spatial modeling was performed based on multi-criteria evaluation (MCE) to assess malaria risk. Models were mainly based on environment and climate. Three annual malaria risk maps were obtained for 2014, 2015, and 2016. Annual parasite incidence data were used to validate the results. In 2016, the validation of the model using a receiver operating characteristic (ROC) curve showed an accuracy of 0.736; 95% CI [0.669–0.803]. A free plugin for QGIS software was made available for NMCP decision makers to prioritize areas for IRS. An annual update of the model provides the basic information for decision making before each IRS campaign. In Madagascar and beyond, the availability of the free plugin for open-source software facilitates the transfer to the MoH and allows further application to other problems and contexts. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/595784/1/remotesensing-12-01585.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.3390/rs12101585 10.3390/rs12101585 info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12101585 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.3390/rs12101585
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic L73 - Maladies des animaux
U30 - Méthodes de recherche
malaria
télédétection
évaluation du risque
distribution spatiale
http://aims.fao.org/aos/agrovoc/c_34312
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_37932
http://aims.fao.org/aos/agrovoc/c_36230
http://aims.fao.org/aos/agrovoc/c_4510
L73 - Maladies des animaux
U30 - Méthodes de recherche
malaria
télédétection
évaluation du risque
distribution spatiale
http://aims.fao.org/aos/agrovoc/c_34312
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_37932
http://aims.fao.org/aos/agrovoc/c_36230
http://aims.fao.org/aos/agrovoc/c_4510
spellingShingle L73 - Maladies des animaux
U30 - Méthodes de recherche
malaria
télédétection
évaluation du risque
distribution spatiale
http://aims.fao.org/aos/agrovoc/c_34312
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_37932
http://aims.fao.org/aos/agrovoc/c_36230
http://aims.fao.org/aos/agrovoc/c_4510
L73 - Maladies des animaux
U30 - Méthodes de recherche
malaria
télédétection
évaluation du risque
distribution spatiale
http://aims.fao.org/aos/agrovoc/c_34312
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_37932
http://aims.fao.org/aos/agrovoc/c_36230
http://aims.fao.org/aos/agrovoc/c_4510
Rakotoarison, Hobiniaina Anthonio
Rasamimalala, Mampionona
Rakotondramanga, Jean Marius
Ramiranirina, Brune
Franchard, Thierry
Kapesa, Laurent
Razafindrakoto, Jocelyn
Guis, Hélène
Tantely, Luciano Michaël
Girod, Romain
Rakotoniaina, Solofoarisoa
Baril, Laurence
Piola, Patrice
Rakotomanana, Fanjasoa
Remote sensing and multi-criteria evaluation for malaria risk mapping to support indoor residual spraying prioritization in the Central highlands of Madagascar
description The National Malaria Control Program (NMCP) in Madagascar classifies Malagasy districts into two malaria situations: districts in the pre-elimination phase and districts in the control phase. Indoor residual spraying (IRS) is identified as the main intervention means to control malaria in the Central Highlands. However, it involves an important logistical mobilization and thus necessitates prioritization of interventions according to the magnitude of malaria risks. Our objectives were to map the malaria transmission risk and to develop a tool to support the Malagasy Ministry of Public Health (MoH) for selective IRS implementation. For the 2014–2016 period, different sources of remotely sensed data were used to update land cover information and substitute in situ climatic data. Spatial modeling was performed based on multi-criteria evaluation (MCE) to assess malaria risk. Models were mainly based on environment and climate. Three annual malaria risk maps were obtained for 2014, 2015, and 2016. Annual parasite incidence data were used to validate the results. In 2016, the validation of the model using a receiver operating characteristic (ROC) curve showed an accuracy of 0.736; 95% CI [0.669–0.803]. A free plugin for QGIS software was made available for NMCP decision makers to prioritize areas for IRS. An annual update of the model provides the basic information for decision making before each IRS campaign. In Madagascar and beyond, the availability of the free plugin for open-source software facilitates the transfer to the MoH and allows further application to other problems and contexts.
format article
topic_facet L73 - Maladies des animaux
U30 - Méthodes de recherche
malaria
télédétection
évaluation du risque
distribution spatiale
http://aims.fao.org/aos/agrovoc/c_34312
http://aims.fao.org/aos/agrovoc/c_6498
http://aims.fao.org/aos/agrovoc/c_37932
http://aims.fao.org/aos/agrovoc/c_36230
http://aims.fao.org/aos/agrovoc/c_4510
author Rakotoarison, Hobiniaina Anthonio
Rasamimalala, Mampionona
Rakotondramanga, Jean Marius
Ramiranirina, Brune
Franchard, Thierry
Kapesa, Laurent
Razafindrakoto, Jocelyn
Guis, Hélène
Tantely, Luciano Michaël
Girod, Romain
Rakotoniaina, Solofoarisoa
Baril, Laurence
Piola, Patrice
Rakotomanana, Fanjasoa
author_facet Rakotoarison, Hobiniaina Anthonio
Rasamimalala, Mampionona
Rakotondramanga, Jean Marius
Ramiranirina, Brune
Franchard, Thierry
Kapesa, Laurent
Razafindrakoto, Jocelyn
Guis, Hélène
Tantely, Luciano Michaël
Girod, Romain
Rakotoniaina, Solofoarisoa
Baril, Laurence
Piola, Patrice
Rakotomanana, Fanjasoa
author_sort Rakotoarison, Hobiniaina Anthonio
title Remote sensing and multi-criteria evaluation for malaria risk mapping to support indoor residual spraying prioritization in the Central highlands of Madagascar
title_short Remote sensing and multi-criteria evaluation for malaria risk mapping to support indoor residual spraying prioritization in the Central highlands of Madagascar
title_full Remote sensing and multi-criteria evaluation for malaria risk mapping to support indoor residual spraying prioritization in the Central highlands of Madagascar
title_fullStr Remote sensing and multi-criteria evaluation for malaria risk mapping to support indoor residual spraying prioritization in the Central highlands of Madagascar
title_full_unstemmed Remote sensing and multi-criteria evaluation for malaria risk mapping to support indoor residual spraying prioritization in the Central highlands of Madagascar
title_sort remote sensing and multi-criteria evaluation for malaria risk mapping to support indoor residual spraying prioritization in the central highlands of madagascar
url http://agritrop.cirad.fr/595784/
http://agritrop.cirad.fr/595784/1/remotesensing-12-01585.pdf
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