Climate Change and the Risk of Malaria Transmission in Iran
Climate change is an important factor affecting the dynamics of the vectors population and, hence, the risk of vector-borne diseases. This study aimed to predict the environmental suitability for malaria vectors in Iran under climate change scenarios in 2030s and 2050s. Literature search was perform...
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Veröffentlicht in: | Journal of medical entomology 2020-01, Vol.57 (1), p.50-64 |
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description | Climate change is an important factor affecting the dynamics of the vectors population and, hence, the risk of vector-borne diseases. This study aimed to predict the environmental suitability for malaria vectors in Iran under climate change scenarios in 2030s and 2050s. Literature search was performed to find documents on the spatial distribution of Anopheles stephensi Liston, 1901, Anopheles culicifacies s.l. Giles, 1901, Anopheles fluviatilis s.l. James, 1902, Anopheles superpictus s.l. Grassi, 1899, Anopheles dthali Patton, 1905, Anopheles maculipennis s.l. Meigen, 1818, and Anopheles sacharovi Favre, 1903 (Diptera: Culicidae) published between 1970 and 2017. The bioclimatic data under three climate change scenarios (representative concentration pathway 2.6 [RCP2.6], RCP4.5, and RCP8.5) and MaxEnt model were used to predict the ecological niches for each species. Comparison between the two study periods under the three scenarios for each species revealed that RCP8.5 would reduce the area at risk for An. culicifacies s.l., An. dthali and An. superpictus s.l. in the 2050s compared to the 2030s, but the reverse will be induced by RCP2.6 and RCP4.5 scenarios. For An. fluviatilis s.l., RCP2.6 will reduce the risk areas in the 2050s, whereas an increase is expected under the two other scenarios. Moreover, all scenarios would decrease the high-risk areas of An. maculipennis s.l. in the 2050s. For An. sacharovi, RCP2.6 would increase its high-risk areas, whereas RCP4.5 and RCP8.5 would decrease its exposure. The high-risk area of An. stephensi is expected to increase under RCP8.5 in the 2030s and RCP4.5 in 2050s, but it will be almost unchanged or reduced under other scenarios. |
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This study aimed to predict the environmental suitability for malaria vectors in Iran under climate change scenarios in 2030s and 2050s. Literature search was performed to find documents on the spatial distribution of Anopheles stephensi Liston, 1901, Anopheles culicifacies s.l. Giles, 1901, Anopheles fluviatilis s.l. James, 1902, Anopheles superpictus s.l. Grassi, 1899, Anopheles dthali Patton, 1905, Anopheles maculipennis s.l. Meigen, 1818, and Anopheles sacharovi Favre, 1903 (Diptera: Culicidae) published between 1970 and 2017. The bioclimatic data under three climate change scenarios (representative concentration pathway 2.6 [RCP2.6], RCP4.5, and RCP8.5) and MaxEnt model were used to predict the ecological niches for each species. Comparison between the two study periods under the three scenarios for each species revealed that RCP8.5 would reduce the area at risk for An. culicifacies s.l., An. dthali and An. superpictus s.l. in the 2050s compared to the 2030s, but the reverse will be induced by RCP2.6 and RCP4.5 scenarios. For An. fluviatilis s.l., RCP2.6 will reduce the risk areas in the 2050s, whereas an increase is expected under the two other scenarios. Moreover, all scenarios would decrease the high-risk areas of An. maculipennis s.l. in the 2050s. For An. sacharovi, RCP2.6 would increase its high-risk areas, whereas RCP4.5 and RCP8.5 would decrease its exposure. The high-risk area of An. stephensi is expected to increase under RCP8.5 in the 2030s and RCP4.5 in 2050s, but it will be almost unchanged or reduced under other scenarios.</description><identifier>ISSN: 0022-2585</identifier><identifier>EISSN: 1938-2928</identifier><identifier>DOI: 10.1093/jme/tjz131</identifier><identifier>PMID: 31429469</identifier><language>eng</language><publisher>US: Entomological Society of America</publisher><subject>Anopheles ; Bioclimatology ; Climate change ; Disease transmission ; ecological niche modeling ; Ecological niches ; Global temperature changes ; Infectious diseases ; Iran ; Malaria ; malaria vector ; Medical research ; Medicine, Experimental ; MODELING/GIS, RISK ASSESSMENT, ECONOMIC IMPACT ; Niche (Ecology) ; Niches ; Risk ; Spatial distribution ; Vector-borne diseases ; Vectors</subject><ispartof>Journal of medical entomology, 2020-01, Vol.57 (1), p.50-64</ispartof><rights>The Author(s) 2019. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. journals.permissions@oup.com</rights><rights>The Author(s) 2019. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2019</rights><rights>The Author(s) 2019. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>COPYRIGHT 2020 Oxford University Press</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b445t-b09dbba77524774b184ff22cb296a06982f7b7df0f8d9cdba06e69a2c7aefeb33</citedby><cites>FETCH-LOGICAL-b445t-b09dbba77524774b184ff22cb296a06982f7b7df0f8d9cdba06e69a2c7aefeb33</cites><orcidid>0000-0003-0189-7182</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1578,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31429469$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Foley, Janet</contributor><creatorcontrib>Hanafi-Bojd, Ahmad Ali</creatorcontrib><creatorcontrib>Vatandoost, Hassan</creatorcontrib><creatorcontrib>Yaghoobi-Ershadi, Mohammad Reza</creatorcontrib><title>Climate Change and the Risk of Malaria Transmission in Iran</title><title>Journal of medical entomology</title><addtitle>J Med Entomol</addtitle><description>Climate change is an important factor affecting the dynamics of the vectors population and, hence, the risk of vector-borne diseases. This study aimed to predict the environmental suitability for malaria vectors in Iran under climate change scenarios in 2030s and 2050s. Literature search was performed to find documents on the spatial distribution of Anopheles stephensi Liston, 1901, Anopheles culicifacies s.l. Giles, 1901, Anopheles fluviatilis s.l. James, 1902, Anopheles superpictus s.l. Grassi, 1899, Anopheles dthali Patton, 1905, Anopheles maculipennis s.l. Meigen, 1818, and Anopheles sacharovi Favre, 1903 (Diptera: Culicidae) published between 1970 and 2017. The bioclimatic data under three climate change scenarios (representative concentration pathway 2.6 [RCP2.6], RCP4.5, and RCP8.5) and MaxEnt model were used to predict the ecological niches for each species. Comparison between the two study periods under the three scenarios for each species revealed that RCP8.5 would reduce the area at risk for An. culicifacies s.l., An. dthali and An. superpictus s.l. in the 2050s compared to the 2030s, but the reverse will be induced by RCP2.6 and RCP4.5 scenarios. For An. fluviatilis s.l., RCP2.6 will reduce the risk areas in the 2050s, whereas an increase is expected under the two other scenarios. Moreover, all scenarios would decrease the high-risk areas of An. maculipennis s.l. in the 2050s. For An. sacharovi, RCP2.6 would increase its high-risk areas, whereas RCP4.5 and RCP8.5 would decrease its exposure. The high-risk area of An. stephensi is expected to increase under RCP8.5 in the 2030s and RCP4.5 in 2050s, but it will be almost unchanged or reduced under other scenarios.</description><subject>Anopheles</subject><subject>Bioclimatology</subject><subject>Climate change</subject><subject>Disease transmission</subject><subject>ecological niche modeling</subject><subject>Ecological niches</subject><subject>Global temperature changes</subject><subject>Infectious diseases</subject><subject>Iran</subject><subject>Malaria</subject><subject>malaria vector</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>MODELING/GIS, RISK ASSESSMENT, ECONOMIC IMPACT</subject><subject>Niche (Ecology)</subject><subject>Niches</subject><subject>Risk</subject><subject>Spatial distribution</subject><subject>Vector-borne diseases</subject><subject>Vectors</subject><issn>0022-2585</issn><issn>1938-2928</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kNtKxDAQhoMouh5ufAAJiCBCNZmkmwavlsUTKILodUjaRLNumzXpXujTG6kHBJG5CDN8M_n5ENql5JgSyU5mrT3pZ2-U0RU0opJVBUioVtGIEIACyqrcQJspzQghFeVyHW0wykHysRyh0-nct7q3ePqku0eLddfg_sniO5-ecXD4Rs919BrfR92l1qfkQ4d9h69yv43WnJ4nu_P5bqGH87P76WVxfXtxNZ1cF4bzsi8MkY0xWogSuBDc0Io7B1AbkGNNxrICJ4xoHHFVI-vG5JkdSw210NZZw9gW2h_uLmJ4WdrUq1lYxi5_qYBJCQAV4z_Uo55b5TsX-qjrHLlWE0GIKAUwkqnjP6hcjW19HTrrfJ7_WjgaFuoYUorWqUXMxuKrokR96FdZvxr0Z3jvM-nStLb5Rr98Z-BgAMJy8f-hw4EzPuRQ_6Hvv2uYww</recordid><startdate>20200109</startdate><enddate>20200109</enddate><creator>Hanafi-Bojd, Ahmad Ali</creator><creator>Vatandoost, Hassan</creator><creator>Yaghoobi-Ershadi, Mohammad Reza</creator><general>Entomological Society of America</general><general>Oxford University Press</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><orcidid>https://orcid.org/0000-0003-0189-7182</orcidid></search><sort><creationdate>20200109</creationdate><title>Climate Change and the Risk of Malaria Transmission in Iran</title><author>Hanafi-Bojd, Ahmad Ali ; Vatandoost, Hassan ; Yaghoobi-Ershadi, Mohammad Reza</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b445t-b09dbba77524774b184ff22cb296a06982f7b7df0f8d9cdba06e69a2c7aefeb33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Anopheles</topic><topic>Bioclimatology</topic><topic>Climate change</topic><topic>Disease transmission</topic><topic>ecological niche modeling</topic><topic>Ecological niches</topic><topic>Global temperature changes</topic><topic>Infectious diseases</topic><topic>Iran</topic><topic>Malaria</topic><topic>malaria vector</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>MODELING/GIS, RISK ASSESSMENT, ECONOMIC IMPACT</topic><topic>Niche (Ecology)</topic><topic>Niches</topic><topic>Risk</topic><topic>Spatial distribution</topic><topic>Vector-borne diseases</topic><topic>Vectors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hanafi-Bojd, Ahmad Ali</creatorcontrib><creatorcontrib>Vatandoost, Hassan</creatorcontrib><creatorcontrib>Yaghoobi-Ershadi, Mohammad Reza</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><jtitle>Journal of medical entomology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hanafi-Bojd, Ahmad Ali</au><au>Vatandoost, Hassan</au><au>Yaghoobi-Ershadi, Mohammad Reza</au><au>Foley, Janet</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Climate Change and the Risk of Malaria Transmission in Iran</atitle><jtitle>Journal of medical entomology</jtitle><addtitle>J Med Entomol</addtitle><date>2020-01-09</date><risdate>2020</risdate><volume>57</volume><issue>1</issue><spage>50</spage><epage>64</epage><pages>50-64</pages><issn>0022-2585</issn><eissn>1938-2928</eissn><abstract>Climate change is an important factor affecting the dynamics of the vectors population and, hence, the risk of vector-borne diseases. This study aimed to predict the environmental suitability for malaria vectors in Iran under climate change scenarios in 2030s and 2050s. Literature search was performed to find documents on the spatial distribution of Anopheles stephensi Liston, 1901, Anopheles culicifacies s.l. Giles, 1901, Anopheles fluviatilis s.l. James, 1902, Anopheles superpictus s.l. Grassi, 1899, Anopheles dthali Patton, 1905, Anopheles maculipennis s.l. Meigen, 1818, and Anopheles sacharovi Favre, 1903 (Diptera: Culicidae) published between 1970 and 2017. The bioclimatic data under three climate change scenarios (representative concentration pathway 2.6 [RCP2.6], RCP4.5, and RCP8.5) and MaxEnt model were used to predict the ecological niches for each species. Comparison between the two study periods under the three scenarios for each species revealed that RCP8.5 would reduce the area at risk for An. culicifacies s.l., An. dthali and An. superpictus s.l. in the 2050s compared to the 2030s, but the reverse will be induced by RCP2.6 and RCP4.5 scenarios. For An. fluviatilis s.l., RCP2.6 will reduce the risk areas in the 2050s, whereas an increase is expected under the two other scenarios. Moreover, all scenarios would decrease the high-risk areas of An. maculipennis s.l. in the 2050s. For An. sacharovi, RCP2.6 would increase its high-risk areas, whereas RCP4.5 and RCP8.5 would decrease its exposure. The high-risk area of An. stephensi is expected to increase under RCP8.5 in the 2030s and RCP4.5 in 2050s, but it will be almost unchanged or reduced under other scenarios.</abstract><cop>US</cop><pub>Entomological Society of America</pub><pmid>31429469</pmid><doi>10.1093/jme/tjz131</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-0189-7182</orcidid></addata></record> |
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subjects | Anopheles Bioclimatology Climate change Disease transmission ecological niche modeling Ecological niches Global temperature changes Infectious diseases Iran Malaria malaria vector Medical research Medicine, Experimental MODELING/GIS, RISK ASSESSMENT, ECONOMIC IMPACT Niche (Ecology) Niches Risk Spatial distribution Vector-borne diseases Vectors |
title | Climate Change and the Risk of Malaria Transmission in Iran |
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