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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2023
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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. |
format | Online Article Text |
id | pubmed-10362220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
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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