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Modeling the Effect of Climate Change on the Distribution of Main Malaria Vectors in an Endemic Area, Southeastern Iran

BACKGROUND: Although malaria is endemic in some areas of southeastern Iran, following the successful national malaria elimination plan (NMEP), the local transmission area has been shrunk. This study was aimed to evaluate the effect of climate change on the distribution of main vectors. METHODS: All...

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Autores principales: Saberi, Nasrollah, Raeisi, Ahmad, Gorouhi, Mohammad Amin, Vatandoost, Hassan, Bozorg Omid, Faramarz, Hanafi-Bojd, Ahmad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362220/
https://www.ncbi.nlm.nih.gov/pubmed/37484730
http://dx.doi.org/10.18502/ijph.v52i5.12724
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author Saberi, Nasrollah
Raeisi, Ahmad
Gorouhi, Mohammad Amin
Vatandoost, Hassan
Bozorg Omid, Faramarz
Hanafi-Bojd, Ahmad Ali
author_facet Saberi, Nasrollah
Raeisi, Ahmad
Gorouhi, Mohammad Amin
Vatandoost, Hassan
Bozorg Omid, Faramarz
Hanafi-Bojd, Ahmad Ali
author_sort Saberi, Nasrollah
collection PubMed
description BACKGROUND: Although malaria is endemic in some areas of southeastern Iran, following the successful national malaria elimination plan (NMEP), the local transmission area has been shrunk. This study was aimed to evaluate the effect of climate change on the distribution of main vectors. METHODS: All documents related to research investigations conducted in Kerman Province on malaria vectors published during 2000–2019 were retrieved from scientific databases. Spatial distributions of the main vectors were mapped and modeled using MaxEnt ecological model. The future environmental suitability for main vectors was determined under three climate changes scenarios in the 2030s. RESULTS: Five malaria vectors are present in Kerman Province. The best ecological niches for these vectors are located in the southern regions of the province under the current climatic condition as well as different climate change scenarios in the 2030s. CONCLUSION: Climate change in 2030 will not have a significant impact on the distribution of malaria vectors in the region. Entomological monitoring is advised to update the spatial database of Anopheles vectors of malaria in this malaria receptive region.
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spelling pubmed-103622202023-07-23 Modeling the Effect of Climate Change on the Distribution of Main Malaria Vectors in an Endemic Area, Southeastern Iran Saberi, Nasrollah Raeisi, Ahmad Gorouhi, Mohammad Amin Vatandoost, Hassan Bozorg Omid, Faramarz Hanafi-Bojd, Ahmad Ali Iran J Public Health Original Article BACKGROUND: Although malaria is endemic in some areas of southeastern Iran, following the successful national malaria elimination plan (NMEP), the local transmission area has been shrunk. This study was aimed to evaluate the effect of climate change on the distribution of main vectors. METHODS: All documents related to research investigations conducted in Kerman Province on malaria vectors published during 2000–2019 were retrieved from scientific databases. Spatial distributions of the main vectors were mapped and modeled using MaxEnt ecological model. The future environmental suitability for main vectors was determined under three climate changes scenarios in the 2030s. RESULTS: Five malaria vectors are present in Kerman Province. The best ecological niches for these vectors are located in the southern regions of the province under the current climatic condition as well as different climate change scenarios in the 2030s. CONCLUSION: Climate change in 2030 will not have a significant impact on the distribution of malaria vectors in the region. Entomological monitoring is advised to update the spatial database of Anopheles vectors of malaria in this malaria receptive region. Tehran University of Medical Sciences 2023-05 /pmc/articles/PMC10362220/ /pubmed/37484730 http://dx.doi.org/10.18502/ijph.v52i5.12724 Text en Copyright © 2023 Saberi et al. Published by Tehran University of Medical Sciences https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (https://creativecommons.org/licenses/by-nc/4.0/). Non-commercial uses of the work are permitted, provided the original work is properly cited.
spellingShingle Original Article
Saberi, Nasrollah
Raeisi, Ahmad
Gorouhi, Mohammad Amin
Vatandoost, Hassan
Bozorg Omid, Faramarz
Hanafi-Bojd, Ahmad Ali
Modeling the Effect of Climate Change on the Distribution of Main Malaria Vectors in an Endemic Area, Southeastern Iran
title Modeling the Effect of Climate Change on the Distribution of Main Malaria Vectors in an Endemic Area, Southeastern Iran
title_full Modeling the Effect of Climate Change on the Distribution of Main Malaria Vectors in an Endemic Area, Southeastern Iran
title_fullStr Modeling the Effect of Climate Change on the Distribution of Main Malaria Vectors in an Endemic Area, Southeastern Iran
title_full_unstemmed Modeling the Effect of Climate Change on the Distribution of Main Malaria Vectors in an Endemic Area, Southeastern Iran
title_short Modeling the Effect of Climate Change on the Distribution of Main Malaria Vectors in an Endemic Area, Southeastern Iran
title_sort modeling the effect of climate change on the distribution of main malaria vectors in an endemic area, southeastern iran
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362220/
https://www.ncbi.nlm.nih.gov/pubmed/37484730
http://dx.doi.org/10.18502/ijph.v52i5.12724
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