Socio-Ecological Mechanisms Supporting High Densities of Aedes albopictus (Diptera: Culicidae) in Baltimore, MD
Social, ecological, and climatic factors interact creating a heterogeneous matrix that determines the spatiotemporal distribution of mosquitoes and human risks of exposure to the diseases they transmit. We explore linkages between the social and institutional processes behind residential abandonment...
Gespeichert in:
Veröffentlicht in: | Journal of medical entomology 2017-09, Vol.54 (5), p.1183-1192 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1192 |
---|---|
container_issue | 5 |
container_start_page | 1183 |
container_title | Journal of medical entomology |
container_volume | 54 |
creator | Little, E. Biehler, D. Leisnham, P. T. Jordan, R. Wilson, S. LaDeau, S. L. |
description | Social, ecological, and climatic factors interact creating a heterogeneous matrix that determines the spatiotemporal distribution of mosquitoes and human risks of exposure to the diseases they transmit. We explore linkages between the social and institutional processes behind residential abandonment, urban ecology, and the interactions of socio-ecological processes with abiotic drivers of mosquito production. Specifically, we test the relative roles of infrastructure degradation and vegetation for explaining the presence of Aedes albopictus Skuse 1894 to better predict spatial heterogeneity in mosquito exposure risk within urban environments. We further examine how precipitation interacts with these socially underpinned biophysical variables. We use a hierarchical statistical modeling approach to assess how environmental and climatic conditions over 3 years influence mosquito ecology across a socioeconomic gradient in Baltimore, MD. We show that decaying infrastructure and vegetation are important determinants of Ae. albopictus infestation. We demonstrate that both precipitation and vegetation influence mosquito production in ways that are mediated by the level of infrastructural decay on a given block. Mosquitoes were more common on blocks with greater abandonment, but when precipitation was low, mosquitoes were more likely to be found in higher-income neighborhoods with managed container habitat. Likewise, although increased vegetation was a negative predictor of mosquito infestation, more vegetation on blocks with high abandonment was associated with the largest mosquito populations. These findings indicate that fine spatial scale modeling of mosquito habitat within urban areas is needed to more accurately target vector control. |
doi_str_mv | 10.1093/jme/tjx103 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5850657</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/jme/tjx103</oup_id><sourcerecordid>1909206111</sourcerecordid><originalsourceid>FETCH-LOGICAL-b469t-a8e21f978cd75958b25bd0be5b0462d6421b8851acce44caf5647940c906f4013</originalsourceid><addsrcrecordid>eNp9kdFrFDEQxoMo9qy--AdIQIQqrk1ySTbxQah31QotPlSfQzY7e5djN9kmu6L_vSl3FvWhTzMwP76Zbz6EnlPyjhK9PN0NcDrtflKyfIAWVC9VxTRTD9GCEMYqJpQ4Qk9y3hFCFOX6MTpiShIhuF6geB2dj9W5i33ceGd7fAVua4PPQ8bX8zjGNPmwwRd-s8VrCNlPHjKOHT6DtjS2b-Lo3TRnfLL24wTJvseruffOtxZeYx_wR9tPfogJ3uKr9VP0qLN9hmeHeoy-fzr_trqoLr9-_rI6u6waLvVUWQWMdrpWrq2FFqphomlJA6IhXLJWckYbpQS1zgHnznZC8lpz4jSRHSd0eYw-7HXHuRmgdRCmZHszJj_Y9MtE682_k-C3ZhN_mPItIkVdBE4OAinezJAnM_jsoO9tgDhnQzXRjEhKb3e9_A_dxTmFYq9QSkpGay4L9WZPuRRzTtDdHUOJuc3RlBzNPscCv_j7_Dv0T3AFeLUH4jzeL3Sw0fgYA9yH_gZo0rRR</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1986621746</pqid></control><display><type>article</type><title>Socio-Ecological Mechanisms Supporting High Densities of Aedes albopictus (Diptera: Culicidae) in Baltimore, MD</title><source>MEDLINE</source><source>Oxford University Press Journals All Titles (1996-Current)</source><source>Alma/SFX Local Collection</source><creator>Little, E. ; Biehler, D. ; Leisnham, P. T. ; Jordan, R. ; Wilson, S. ; LaDeau, S. L.</creator><creatorcontrib>Little, E. ; Biehler, D. ; Leisnham, P. T. ; Jordan, R. ; Wilson, S. ; LaDeau, S. L.</creatorcontrib><description>Social, ecological, and climatic factors interact creating a heterogeneous matrix that determines the spatiotemporal distribution of mosquitoes and human risks of exposure to the diseases they transmit. We explore linkages between the social and institutional processes behind residential abandonment, urban ecology, and the interactions of socio-ecological processes with abiotic drivers of mosquito production. Specifically, we test the relative roles of infrastructure degradation and vegetation for explaining the presence of Aedes albopictus Skuse 1894 to better predict spatial heterogeneity in mosquito exposure risk within urban environments. We further examine how precipitation interacts with these socially underpinned biophysical variables. We use a hierarchical statistical modeling approach to assess how environmental and climatic conditions over 3 years influence mosquito ecology across a socioeconomic gradient in Baltimore, MD. We show that decaying infrastructure and vegetation are important determinants of Ae. albopictus infestation. We demonstrate that both precipitation and vegetation influence mosquito production in ways that are mediated by the level of infrastructural decay on a given block. Mosquitoes were more common on blocks with greater abandonment, but when precipitation was low, mosquitoes were more likely to be found in higher-income neighborhoods with managed container habitat. Likewise, although increased vegetation was a negative predictor of mosquito infestation, more vegetation on blocks with high abandonment was associated with the largest mosquito populations. These findings indicate that fine spatial scale modeling of mosquito habitat within urban areas is needed to more accurately target vector control.</description><identifier>ISSN: 0022-2585</identifier><identifier>EISSN: 1938-2928</identifier><identifier>DOI: 10.1093/jme/tjx103</identifier><identifier>PMID: 28605549</identifier><language>eng</language><publisher>England: Entomological Society of America</publisher><subject>Abandonment ; Aedes ; Aedes albopictus ; Animals ; Aquatic insects ; Baltimore ; Climatic conditions ; Containers ; Culicidae ; Decay ; Ecological effects ; Ecological monitoring ; Ecological risk assessment ; Environment ; Environmental risk ; Heterogeneity ; Infestation ; Infrastructure ; Mathematical models ; MODELING/GIS, RISK ASSESSMENT, ECONOMIC IMPACT ; Mosquito Vectors ; Mosquitoes ; Neighborhoods ; northeastern United States ; Population Density ; Precipitation ; Residence Characteristics ; socio-ecological ; Socioeconomic factors ; Spatial distribution ; Spatial heterogeneity ; Statistical models ; Temporal distribution ; urban ; Urban areas ; Urban environments ; vector ; Vegetation</subject><ispartof>Journal of medical entomology, 2017-09, Vol.54 (5), p.1183-1192</ispartof><rights>The Authors 2017. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com journals.permissions@oup.com</rights><rights>The Authors 2017. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2017</rights><rights>The Authors 2017. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.</rights><rights>Copyright Oxford University Press, UK Sep 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b469t-a8e21f978cd75958b25bd0be5b0462d6421b8851acce44caf5647940c906f4013</citedby><cites>FETCH-LOGICAL-b469t-a8e21f978cd75958b25bd0be5b0462d6421b8851acce44caf5647940c906f4013</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,1584,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28605549$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Little, E.</creatorcontrib><creatorcontrib>Biehler, D.</creatorcontrib><creatorcontrib>Leisnham, P. T.</creatorcontrib><creatorcontrib>Jordan, R.</creatorcontrib><creatorcontrib>Wilson, S.</creatorcontrib><creatorcontrib>LaDeau, S. L.</creatorcontrib><title>Socio-Ecological Mechanisms Supporting High Densities of Aedes albopictus (Diptera: Culicidae) in Baltimore, MD</title><title>Journal of medical entomology</title><addtitle>J Med Entomol</addtitle><description>Social, ecological, and climatic factors interact creating a heterogeneous matrix that determines the spatiotemporal distribution of mosquitoes and human risks of exposure to the diseases they transmit. We explore linkages between the social and institutional processes behind residential abandonment, urban ecology, and the interactions of socio-ecological processes with abiotic drivers of mosquito production. Specifically, we test the relative roles of infrastructure degradation and vegetation for explaining the presence of Aedes albopictus Skuse 1894 to better predict spatial heterogeneity in mosquito exposure risk within urban environments. We further examine how precipitation interacts with these socially underpinned biophysical variables. We use a hierarchical statistical modeling approach to assess how environmental and climatic conditions over 3 years influence mosquito ecology across a socioeconomic gradient in Baltimore, MD. We show that decaying infrastructure and vegetation are important determinants of Ae. albopictus infestation. We demonstrate that both precipitation and vegetation influence mosquito production in ways that are mediated by the level of infrastructural decay on a given block. Mosquitoes were more common on blocks with greater abandonment, but when precipitation was low, mosquitoes were more likely to be found in higher-income neighborhoods with managed container habitat. Likewise, although increased vegetation was a negative predictor of mosquito infestation, more vegetation on blocks with high abandonment was associated with the largest mosquito populations. These findings indicate that fine spatial scale modeling of mosquito habitat within urban areas is needed to more accurately target vector control.</description><subject>Abandonment</subject><subject>Aedes</subject><subject>Aedes albopictus</subject><subject>Animals</subject><subject>Aquatic insects</subject><subject>Baltimore</subject><subject>Climatic conditions</subject><subject>Containers</subject><subject>Culicidae</subject><subject>Decay</subject><subject>Ecological effects</subject><subject>Ecological monitoring</subject><subject>Ecological risk assessment</subject><subject>Environment</subject><subject>Environmental risk</subject><subject>Heterogeneity</subject><subject>Infestation</subject><subject>Infrastructure</subject><subject>Mathematical models</subject><subject>MODELING/GIS, RISK ASSESSMENT, ECONOMIC IMPACT</subject><subject>Mosquito Vectors</subject><subject>Mosquitoes</subject><subject>Neighborhoods</subject><subject>northeastern United States</subject><subject>Population Density</subject><subject>Precipitation</subject><subject>Residence Characteristics</subject><subject>socio-ecological</subject><subject>Socioeconomic factors</subject><subject>Spatial distribution</subject><subject>Spatial heterogeneity</subject><subject>Statistical models</subject><subject>Temporal distribution</subject><subject>urban</subject><subject>Urban areas</subject><subject>Urban environments</subject><subject>vector</subject><subject>Vegetation</subject><issn>0022-2585</issn><issn>1938-2928</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kdFrFDEQxoMo9qy--AdIQIQqrk1ySTbxQah31QotPlSfQzY7e5djN9kmu6L_vSl3FvWhTzMwP76Zbz6EnlPyjhK9PN0NcDrtflKyfIAWVC9VxTRTD9GCEMYqJpQ4Qk9y3hFCFOX6MTpiShIhuF6geB2dj9W5i33ceGd7fAVua4PPQ8bX8zjGNPmwwRd-s8VrCNlPHjKOHT6DtjS2b-Lo3TRnfLL24wTJvseruffOtxZeYx_wR9tPfogJ3uKr9VP0qLN9hmeHeoy-fzr_trqoLr9-_rI6u6waLvVUWQWMdrpWrq2FFqphomlJA6IhXLJWckYbpQS1zgHnznZC8lpz4jSRHSd0eYw-7HXHuRmgdRCmZHszJj_Y9MtE682_k-C3ZhN_mPItIkVdBE4OAinezJAnM_jsoO9tgDhnQzXRjEhKb3e9_A_dxTmFYq9QSkpGay4L9WZPuRRzTtDdHUOJuc3RlBzNPscCv_j7_Dv0T3AFeLUH4jzeL3Sw0fgYA9yH_gZo0rRR</recordid><startdate>20170901</startdate><enddate>20170901</enddate><creator>Little, E.</creator><creator>Biehler, D.</creator><creator>Leisnham, P. T.</creator><creator>Jordan, R.</creator><creator>Wilson, S.</creator><creator>LaDeau, S. L.</creator><general>Entomological Society of America</general><general>Oxford University Press</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><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>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><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170901</creationdate><title>Socio-Ecological Mechanisms Supporting High Densities of Aedes albopictus (Diptera: Culicidae) in Baltimore, MD</title><author>Little, E. ; Biehler, D. ; Leisnham, P. T. ; Jordan, R. ; Wilson, S. ; LaDeau, S. L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b469t-a8e21f978cd75958b25bd0be5b0462d6421b8851acce44caf5647940c906f4013</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Abandonment</topic><topic>Aedes</topic><topic>Aedes albopictus</topic><topic>Animals</topic><topic>Aquatic insects</topic><topic>Baltimore</topic><topic>Climatic conditions</topic><topic>Containers</topic><topic>Culicidae</topic><topic>Decay</topic><topic>Ecological effects</topic><topic>Ecological monitoring</topic><topic>Ecological risk assessment</topic><topic>Environment</topic><topic>Environmental risk</topic><topic>Heterogeneity</topic><topic>Infestation</topic><topic>Infrastructure</topic><topic>Mathematical models</topic><topic>MODELING/GIS, RISK ASSESSMENT, ECONOMIC IMPACT</topic><topic>Mosquito Vectors</topic><topic>Mosquitoes</topic><topic>Neighborhoods</topic><topic>northeastern United States</topic><topic>Population Density</topic><topic>Precipitation</topic><topic>Residence Characteristics</topic><topic>socio-ecological</topic><topic>Socioeconomic factors</topic><topic>Spatial distribution</topic><topic>Spatial heterogeneity</topic><topic>Statistical models</topic><topic>Temporal distribution</topic><topic>urban</topic><topic>Urban areas</topic><topic>Urban environments</topic><topic>vector</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Little, E.</creatorcontrib><creatorcontrib>Biehler, D.</creatorcontrib><creatorcontrib>Leisnham, P. T.</creatorcontrib><creatorcontrib>Jordan, R.</creatorcontrib><creatorcontrib>Wilson, S.</creatorcontrib><creatorcontrib>LaDeau, S. L.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><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 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><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of medical entomology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Little, E.</au><au>Biehler, D.</au><au>Leisnham, P. T.</au><au>Jordan, R.</au><au>Wilson, S.</au><au>LaDeau, S. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Socio-Ecological Mechanisms Supporting High Densities of Aedes albopictus (Diptera: Culicidae) in Baltimore, MD</atitle><jtitle>Journal of medical entomology</jtitle><addtitle>J Med Entomol</addtitle><date>2017-09-01</date><risdate>2017</risdate><volume>54</volume><issue>5</issue><spage>1183</spage><epage>1192</epage><pages>1183-1192</pages><issn>0022-2585</issn><eissn>1938-2928</eissn><abstract>Social, ecological, and climatic factors interact creating a heterogeneous matrix that determines the spatiotemporal distribution of mosquitoes and human risks of exposure to the diseases they transmit. We explore linkages between the social and institutional processes behind residential abandonment, urban ecology, and the interactions of socio-ecological processes with abiotic drivers of mosquito production. Specifically, we test the relative roles of infrastructure degradation and vegetation for explaining the presence of Aedes albopictus Skuse 1894 to better predict spatial heterogeneity in mosquito exposure risk within urban environments. We further examine how precipitation interacts with these socially underpinned biophysical variables. We use a hierarchical statistical modeling approach to assess how environmental and climatic conditions over 3 years influence mosquito ecology across a socioeconomic gradient in Baltimore, MD. We show that decaying infrastructure and vegetation are important determinants of Ae. albopictus infestation. We demonstrate that both precipitation and vegetation influence mosquito production in ways that are mediated by the level of infrastructural decay on a given block. Mosquitoes were more common on blocks with greater abandonment, but when precipitation was low, mosquitoes were more likely to be found in higher-income neighborhoods with managed container habitat. Likewise, although increased vegetation was a negative predictor of mosquito infestation, more vegetation on blocks with high abandonment was associated with the largest mosquito populations. These findings indicate that fine spatial scale modeling of mosquito habitat within urban areas is needed to more accurately target vector control.</abstract><cop>England</cop><pub>Entomological Society of America</pub><pmid>28605549</pmid><doi>10.1093/jme/tjx103</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0022-2585 |
ispartof | Journal of medical entomology, 2017-09, Vol.54 (5), p.1183-1192 |
issn | 0022-2585 1938-2928 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5850657 |
source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
subjects | Abandonment Aedes Aedes albopictus Animals Aquatic insects Baltimore Climatic conditions Containers Culicidae Decay Ecological effects Ecological monitoring Ecological risk assessment Environment Environmental risk Heterogeneity Infestation Infrastructure Mathematical models MODELING/GIS, RISK ASSESSMENT, ECONOMIC IMPACT Mosquito Vectors Mosquitoes Neighborhoods northeastern United States Population Density Precipitation Residence Characteristics socio-ecological Socioeconomic factors Spatial distribution Spatial heterogeneity Statistical models Temporal distribution urban Urban areas Urban environments vector Vegetation |
title | Socio-Ecological Mechanisms Supporting High Densities of Aedes albopictus (Diptera: Culicidae) in Baltimore, MD |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T13%3A12%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Socio-Ecological%20Mechanisms%20Supporting%20High%20Densities%20of%20Aedes%20albopictus%20(Diptera:%20Culicidae)%20in%20Baltimore,%20MD&rft.jtitle=Journal%20of%20medical%20entomology&rft.au=Little,%20E.&rft.date=2017-09-01&rft.volume=54&rft.issue=5&rft.spage=1183&rft.epage=1192&rft.pages=1183-1192&rft.issn=0022-2585&rft.eissn=1938-2928&rft_id=info:doi/10.1093/jme/tjx103&rft_dat=%3Cproquest_pubme%3E1909206111%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1986621746&rft_id=info:pmid/28605549&rft_oup_id=10.1093/jme/tjx103&rfr_iscdi=true |