Dengue vector dynamics (Aedes aegypti) influenced by climate and social factors in Ecuador: implications for targeted control
Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and human behavior interact to influence dengue virus and vector (Aedes aegypti) population dynamics; however, the relative effects of these variables depends...
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Published in | PloS one Vol. 8; no. 11; p. e78263 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
12.11.2013
Public Library of Science (PLoS) |
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Abstract | Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and human behavior interact to influence dengue virus and vector (Aedes aegypti) population dynamics; however, the relative effects of these variables depends on local ecology and social context. We investigated the roles of climate and socio-ecological factors on Ae. aegypti population dynamics in Machala, a city in southern coastal Ecuador where dengue is hyper-endemic.
We studied two proximate urban localities where we monitored weekly Ae. aegypti oviposition activity (Nov. 2010-June 2011), conducted seasonal pupal surveys, and surveyed household to identify dengue risk factors. The results of this study provide evidence that Ae. aegypti population dynamics are influenced by social risk factors that vary by season and lagged climate variables that vary by locality. Best-fit models to predict the presence of Ae. aegypti pupae included parameters for household water storage practices, access to piped water, the number of households per property, condition of the house and patio, and knowledge and perceptions of dengue. Rainfall and minimum temperature were significant predictors of oviposition activity, although the effect of rainfall varied by locality due to differences in types of water storage containers.
These results indicate the potential to reduce the burden of dengue in this region by conducting focused vector control interventions that target high-risk households and containers in each season and by developing predictive models using climate and non-climate information. These findings provide the region's public health sector with key information for conducting time and location-specific vector control campaigns, and highlight the importance of local socio-ecological studies to understand dengue dynamics. See Text S1 for an executive summary in Spanish. |
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AbstractList | BACKGROUND: Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and human behavior interact to influence dengue virus and vector (Aedes aegypti) population dynamics; however, the relative effects of these variables depends on local ecology and social context. We investigated the roles of climate and socio-ecological factors on Ae. aegypti population dynamics in Machala, a city in southern coastal Ecuador where dengue is hyper-endemic. METHODS/PRINCIPAL FINDINGS: We studied two proximate urban localities where we monitored weekly Ae. aegypti oviposition activity (Nov. 2010-June 2011), conducted seasonal pupal surveys, and surveyed household to identify dengue risk factors. The results of this study provide evidence that Ae. aegypti population dynamics are influenced by social risk factors that vary by season and lagged climate variables that vary by locality. Best-fit models to predict the presence of Ae. aegypti pupae included parameters for household water storage practices, access to piped water, the number of households per property, condition of the house and patio, and knowledge and perceptions of dengue. Rainfall and minimum temperature were significant predictors of oviposition activity, although the effect of rainfall varied by locality due to differences in types of water storage containers. CONCLUSIONS: These results indicate the potential to reduce the burden of dengue in this region by conducting focused vector control interventions that target high-risk households and containers in each season and by developing predictive models using climate and non-climate information. These findings provide the region's public health sector with key information for conducting time and location-specific vector control campaigns, and highlight the importance of local socio-ecological studies to understand dengue dynamics. See Text S1 for an executive summary in Spanish. Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and human behavior interact to influence dengue virus and vector (Aedes aegypti) population dynamics; however, the relative effects of these variables depends on local ecology and social context. We investigated the roles of climate and socio-ecological factors on Ae. aegypti population dynamics in Machala, a city in southern coastal Ecuador where dengue is hyper-endemic. We studied two proximate urban localities where we monitored weekly Ae. aegypti oviposition activity (Nov. 2010-June 2011), conducted seasonal pupal surveys, and surveyed household to identify dengue risk factors. The results of this study provide evidence that Ae. aegypti population dynamics are influenced by social risk factors that vary by season and lagged climate variables that vary by locality. Best-fit models to predict the presence of Ae. aegypti pupae included parameters for household water storage practices, access to piped water, the number of households per property, condition of the house and patio, and knowledge and perceptions of dengue. Rainfall and minimum temperature were significant predictors of oviposition activity, although the effect of rainfall varied by locality due to differences in types of water storage containers. These results indicate the potential to reduce the burden of dengue in this region by conducting focused vector control interventions that target high-risk households and containers in each season and by developing predictive models using climate and non-climate information. These findings provide the region's public health sector with key information for conducting time and location-specific vector control campaigns, and highlight the importance of local socio-ecological studies to understand dengue dynamics. See Text S1 for an executive summary in Spanish. Background Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and human behavior interact to influence dengue virus and vector ( Aedes aegypti ) population dynamics; however, the relative effects of these variables depends on local ecology and social context. We investigated the roles of climate and socio-ecological factors on Ae. aegypti population dynamics in Machala, a city in southern coastal Ecuador where dengue is hyper-endemic. Methods/Principal findings We studied two proximate urban localities where we monitored weekly Ae. aegypti oviposition activity (Nov. 2010-June 2011), conducted seasonal pupal surveys, and surveyed household to identify dengue risk factors. The results of this study provide evidence that Ae. aegypti population dynamics are influenced by social risk factors that vary by season and lagged climate variables that vary by locality. Best-fit models to predict the presence of Ae. aegypti pupae included parameters for household water storage practices, access to piped water, the number of households per property, condition of the house and patio, and knowledge and perceptions of dengue. Rainfall and minimum temperature were significant predictors of oviposition activity, although the effect of rainfall varied by locality due to differences in types of water storage containers. Conclusions These results indicate the potential to reduce the burden of dengue in this region by conducting focused vector control interventions that target high-risk households and containers in each season and by developing predictive models using climate and non-climate information. These findings provide the region's public health sector with key information for conducting time and location-specific vector control campaigns, and highlight the importance of local socio-ecological studies to understand dengue dynamics. See Text S1 for an executive summary in Spanish. Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and human behavior interact to influence dengue virus and vector (Aedes aegypti) population dynamics; however, the relative effects of these variables depends on local ecology and social context. We investigated the roles of climate and socio-ecological factors on Ae. aegypti population dynamics in Machala, a city in southern coastal Ecuador where dengue is hyper-endemic. We studied two proximate urban localities where we monitored weekly Ae. aegypti oviposition activity (Nov. 2010-June 2011), conducted seasonal pupal surveys, and surveyed household to identify dengue risk factors. The results of this study provide evidence that Ae. aegypti population dynamics are influenced by social risk factors that vary by season and lagged climate variables that vary by locality. Best-fit models to predict the presence of Ae. aegypti pupae included parameters for household water storage practices, access to piped water, the number of households per property, condition of the house and patio, and knowledge and perceptions of dengue. Rainfall and minimum temperature were significant predictors of oviposition activity, although the effect of rainfall varied by locality due to differences in types of water storage containers. These results indicate the potential to reduce the burden of dengue in this region by conducting focused vector control interventions that target high-risk households and containers in each season and by developing predictive models using climate and non-climate information. These findings provide the region's public health sector with key information for conducting time and location-specific vector control campaigns, and highlight the importance of local socio-ecological studies to understand dengue dynamics. See Text S1 for an executive summary in Spanish. |
Audience | Academic |
Author | Mejía, Raúl Muñoz, Angel Beltrán, Efrain Silva, Mercy Stewart Ibarra, Anna M Ryan, Sadie J |
AuthorAffiliation | 7 Centro de Modelado Científico, Universidad del Zulia, Maracaibo, Venezuela 4 National Institute of Meteorology and Hydrology, Guayaquil, Ecuador Louisiana State University, United States of America 1 Center for Global Health and Translational Sciences, State University of New York Upstate Medical University, Syracuse, New York, United States of America 6 International Institute of Climate and Society, Columbia University, New York, New York, United States of America 2 Department of Environmental and Forest Biology, State University of New York College of Environmental Science and Forestry, Syracuse, New York, United States of America 3 National Service for the Control of Vector-Borne Diseases, Ministry of Health, Machala, Ecuador 5 Department of Agriculture, Engineering, and Science, School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa |
AuthorAffiliation_xml | – name: 3 National Service for the Control of Vector-Borne Diseases, Ministry of Health, Machala, Ecuador – name: 2 Department of Environmental and Forest Biology, State University of New York College of Environmental Science and Forestry, Syracuse, New York, United States of America – name: 1 Center for Global Health and Translational Sciences, State University of New York Upstate Medical University, Syracuse, New York, United States of America – name: Louisiana State University, United States of America – name: 7 Centro de Modelado Científico, Universidad del Zulia, Maracaibo, Venezuela – name: 5 Department of Agriculture, Engineering, and Science, School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa – name: 6 International Institute of Climate and Society, Columbia University, New York, New York, United States of America – name: 4 National Institute of Meteorology and Hydrology, Guayaquil, Ecuador |
Author_xml | – sequence: 1 givenname: Anna M surname: Stewart Ibarra fullname: Stewart Ibarra, Anna M organization: Center for Global Health and Translational Sciences, State University of New York Upstate Medical University, Syracuse, New York, United States of America ; Department of Environmental and Forest Biology, State University of New York College of Environmental Science and Forestry, Syracuse, New York, United States of America ; National Service for the Control of Vector-Borne Diseases, Ministry of Health, Machala, Ecuador ; National Institute of Meteorology and Hydrology, Guayaquil, Ecuador – sequence: 2 givenname: Sadie J surname: Ryan fullname: Ryan, Sadie J – sequence: 3 givenname: Efrain surname: Beltrán fullname: Beltrán, Efrain – sequence: 4 givenname: Raúl surname: Mejía fullname: Mejía, Raúl – sequence: 5 givenname: Mercy surname: Silva fullname: Silva, Mercy – sequence: 6 givenname: Angel surname: Muñoz fullname: Muñoz, Angel |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/24324542$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
Copyright | COPYRIGHT 2013 Public Library of Science 2013 Stewart Ibarra et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2013 Stewart Ibarra et al 2013 Stewart Ibarra et al |
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DocumentTitleAlternate | Dengue Vector Dynamics in Ecuador |
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Editor | Mores, Christopher N. |
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Notes | Conceived and designed the experiments: AMSI MS EB AM. Performed the experiments: AMSI MS AM. Analyzed the data: AMSI SJR AM. Contributed reagents/materials/analysis tools: EB RM SJR AMSI AM. Wrote the paper: AMSI SJR AM. Competing Interests: The authors have declared that no competing interests exist. |
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Snippet | Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and human behavior... Background Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and... BACKGROUND: Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and... Background Dengue fever, a mosquito-borne viral disease, is now the fastest spreading tropical disease globally. Previous studies indicate that climate and... |
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SubjectTerms | Aedes - physiology Aedes aegypti Analysis Animals Aquatic insects Climate Climate change Climate models Collaboration Containers Culicidae Dengue Dengue - transmission Dengue fever Diptera Disease control Disease transmission Dynamics Ecological effects Ecological monitoring Ecological studies Ecology Ecuador Environmental science Epidemics Epidemiology Fever Genetic vectors Households Human behavior Hydrology Insect Vectors - physiology Medical research Minimum temperatures Mosquitoes Oviposition Population Population biology Population dynamics Prediction models Public health Rain Rainfall Risk analysis Risk factors Social aspects Social factors Storage Storage containers Studies Surveys Temperature Temperature perception Vector-borne diseases Vectors (Biology) Viral diseases Virus diseases Viruses Water shortages Water storage |
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Title | Dengue vector dynamics (Aedes aegypti) influenced by climate and social factors in Ecuador: implications for targeted control |
URI | https://www.ncbi.nlm.nih.gov/pubmed/24324542 https://www.proquest.com/docview/1450248033 https://pubmed.ncbi.nlm.nih.gov/PMC3855798 https://doaj.org/article/67145f8664234e3fb533b69c66fa84ae http://dx.doi.org/10.1371/journal.pone.0078263 |
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