Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique

Detalhes bibliográficos
Autor(a) principal: Ferrão, João L.
Data de Publicação: 2018
Outros Autores: Niquisse, Sérgio, Mendes, Jorge M., Painho, Marco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.3390/ijerph15040795
Resumo: Ferrão, J. L., Niquisse, S., Mendes, J. M., & Painho, M. (2018). Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique. International Journal of Environmental Research and Public Health, 15(4), [795]. DOI: 10.3390/ijerph15040795
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spelling Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, MozambiqueMalaria riskMappingModellingPublic precision healthPublic Health, Environmental and Occupational HealthHealth, Toxicology and MutagenesisSDG 3 - Good Health and Well-beingSDG 13 - Climate ActionSDG 15 - Life on LandFerrão, J. L., Niquisse, S., Mendes, J. M., & Painho, M. (2018). Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique. International Journal of Environmental Research and Public Health, 15(4), [795]. DOI: 10.3390/ijerph15040795Background: Malaria continues to be a major public health concern in Africa. Approximately 3.2 billion people worldwide are still at risk of contracting malaria, and 80% of deaths caused by malaria are concentrated in only 15 countries, most of which are in Africa. These high-burden countries have achieved a lower than average reduction of malaria incidence and mortality, and Mozambique is among these countries. Malaria eradication is therefore one of Mozambique’s main priorities. Few studies on malaria have been carried out in Chimoio, and there is no malaria map risk of the area. This map is important to identify areas at risk for application of Public Precision Health approaches. By using GIS-based spatial modelling techniques, the research goal of this article was to map and model malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique. Methods: A 30 m × 30 m Landsat image, ArcGIS 10.2 and BioclimData were used. A conceptual model for spatial problems was used to create the final risk map. The risks factors used were: the mean temperature, precipitation, altitude, slope, distance to water bodies, distance to roads, NDVI, land use and land cover, malaria prevalence and population density. Layers were created in a raster dataset. For class value comparisons between layers, numeric values were assigned to classes within each map layer, giving them the same importance. The input dataset were ranked, with different weights according to their suitability. The reclassified outputs of the data were combined. Results: Chimoio presented 96% moderate risk and 4% high-risk areas. The map showed that the central and south-west “Residential areas”, namely, Centro Hipico, Trangapsso, Bairro 5 and 1º de Maio, had a high risk of malaria, while the rest of the residential areas had a moderate risk. Conclusions: The entire Chimoio population is at risk of contracting malaria, and the precise estimation of malaria risk, therefore, has important precision public health implications and for the planning of effective control measures, such as the proper time and place to spray to combat vectors, distribution of bed nets and other control measures.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNFerrão, João L.Niquisse, SérgioMendes, Jorge M.Painho, Marco2018-05-07T22:15:23Z2018-04-192018-04-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.3390/ijerph15040795eng1661-7827PURE: 4110256http://www.scopus.com/inward/record.url?scp=85045927404&partnerID=8YFLogxKhttps://doi.org/10.3390/ijerph15040795info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:19:36Zoai:run.unl.pt:10362/36192Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:24.583618Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique
title Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique
spellingShingle Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique
Ferrão, João L.
Malaria risk
Mapping
Modelling
Public precision health
Public Health, Environmental and Occupational Health
Health, Toxicology and Mutagenesis
SDG 3 - Good Health and Well-being
SDG 13 - Climate Action
SDG 15 - Life on Land
title_short Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique
title_full Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique
title_fullStr Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique
title_full_unstemmed Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique
title_sort Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique
author Ferrão, João L.
author_facet Ferrão, João L.
Niquisse, Sérgio
Mendes, Jorge M.
Painho, Marco
author_role author
author2 Niquisse, Sérgio
Mendes, Jorge M.
Painho, Marco
author2_role author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Ferrão, João L.
Niquisse, Sérgio
Mendes, Jorge M.
Painho, Marco
dc.subject.por.fl_str_mv Malaria risk
Mapping
Modelling
Public precision health
Public Health, Environmental and Occupational Health
Health, Toxicology and Mutagenesis
SDG 3 - Good Health and Well-being
SDG 13 - Climate Action
SDG 15 - Life on Land
topic Malaria risk
Mapping
Modelling
Public precision health
Public Health, Environmental and Occupational Health
Health, Toxicology and Mutagenesis
SDG 3 - Good Health and Well-being
SDG 13 - Climate Action
SDG 15 - Life on Land
description Ferrão, J. L., Niquisse, S., Mendes, J. M., & Painho, M. (2018). Mapping and modelling malaria risk areas using climate, socio-demographic and clinical variables in Chimoio, Mozambique. International Journal of Environmental Research and Public Health, 15(4), [795]. DOI: 10.3390/ijerph15040795
publishDate 2018
dc.date.none.fl_str_mv 2018-05-07T22:15:23Z
2018-04-19
2018-04-19T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.3390/ijerph15040795
url https://doi.org/10.3390/ijerph15040795
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1661-7827
PURE: 4110256
http://www.scopus.com/inward/record.url?scp=85045927404&partnerID=8YFLogxK
https://doi.org/10.3390/ijerph15040795
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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