Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina
Understanding the processes that affect Aedes aegypti (L.) (Diptera: Culicidae) may serve as a starting point to create and /or improve vector control strategies. For this purpose, we performed statistical modeling of three entomological surveys conducted in Clorinda City, northern Argentina. Previo...
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2012
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00222585_v49_n3_p722_Garelli http://hdl.handle.net/20.500.12110/paper_00222585_v49_n3_p722_Garelli |
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paper:paper_00222585_v49_n3_p722_Garelli2023-06-08T14:48:30Z Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina Garelli, Fernando Miguel Gurtler, Ricardo Esteban Aedes aegypti Akaike's Information Criterion dengue vector control Aedes animal Argentina article disease carrier mosquito population density population dynamics statistical model Aedes Animals Argentina Insect Vectors Models, Statistical Mosquito Control Population Density Population Dynamics Aedes aegypti Clorinda Culicidae Diptera Understanding the processes that affect Aedes aegypti (L.) (Diptera: Culicidae) may serve as a starting point to create and /or improve vector control strategies. For this purpose, we performed statistical modeling of three entomological surveys conducted in Clorinda City, northern Argentina. Previous 'basic' models of presence or absence of larvae and/or pupae (infestation) and the number of pupae in infested containers (productivity), mainly based on physical characteristics of containers, were expanded to include variables selected a priori reflecting water use practices, vector-related context factors, the history of chemical control, and climate. Model selection was performed using Akaike's Information Criterion. In total, 5,431 water-holding containers were inspected and 12,369 Ae. aegypti pupae collected from 963 positive containers. Large tanks were the most productive container type. Variables reflecting every putative process considered, except for history of chemical control, were selected in the best models obtained for infestation and productivity. The associations found were very strong, particularly in the case of infestation. Water use practices and vector-related context factors were the most important ones, as evidenced by their impact on Akaike's Information Criterion scores of the infestation model. Risk maps based on empirical data and model predictions showed a heterogeneous distribution of entomological risk. An integrated vector control strategy is recommended, aiming at community participation for healthier water use practices and targeting large tanks for key elements such as lid status, water addition frequency and water use. © 2012 Entomological Society of America. Fil:Garelli, F.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Gürtler, R.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00222585_v49_n3_p722_Garelli http://hdl.handle.net/20.500.12110/paper_00222585_v49_n3_p722_Garelli |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Aedes aegypti Akaike's Information Criterion dengue vector control Aedes animal Argentina article disease carrier mosquito population density population dynamics statistical model Aedes Animals Argentina Insect Vectors Models, Statistical Mosquito Control Population Density Population Dynamics Aedes aegypti Clorinda Culicidae Diptera |
| spellingShingle |
Aedes aegypti Akaike's Information Criterion dengue vector control Aedes animal Argentina article disease carrier mosquito population density population dynamics statistical model Aedes Animals Argentina Insect Vectors Models, Statistical Mosquito Control Population Density Population Dynamics Aedes aegypti Clorinda Culicidae Diptera Garelli, Fernando Miguel Gurtler, Ricardo Esteban Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina |
| topic_facet |
Aedes aegypti Akaike's Information Criterion dengue vector control Aedes animal Argentina article disease carrier mosquito population density population dynamics statistical model Aedes Animals Argentina Insect Vectors Models, Statistical Mosquito Control Population Density Population Dynamics Aedes aegypti Clorinda Culicidae Diptera |
| description |
Understanding the processes that affect Aedes aegypti (L.) (Diptera: Culicidae) may serve as a starting point to create and /or improve vector control strategies. For this purpose, we performed statistical modeling of three entomological surveys conducted in Clorinda City, northern Argentina. Previous 'basic' models of presence or absence of larvae and/or pupae (infestation) and the number of pupae in infested containers (productivity), mainly based on physical characteristics of containers, were expanded to include variables selected a priori reflecting water use practices, vector-related context factors, the history of chemical control, and climate. Model selection was performed using Akaike's Information Criterion. In total, 5,431 water-holding containers were inspected and 12,369 Ae. aegypti pupae collected from 963 positive containers. Large tanks were the most productive container type. Variables reflecting every putative process considered, except for history of chemical control, were selected in the best models obtained for infestation and productivity. The associations found were very strong, particularly in the case of infestation. Water use practices and vector-related context factors were the most important ones, as evidenced by their impact on Akaike's Information Criterion scores of the infestation model. Risk maps based on empirical data and model predictions showed a heterogeneous distribution of entomological risk. An integrated vector control strategy is recommended, aiming at community participation for healthier water use practices and targeting large tanks for key elements such as lid status, water addition frequency and water use. © 2012 Entomological Society of America. |
| author |
Garelli, Fernando Miguel Gurtler, Ricardo Esteban |
| author_facet |
Garelli, Fernando Miguel Gurtler, Ricardo Esteban |
| author_sort |
Garelli, Fernando Miguel |
| title |
Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina |
| title_short |
Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina |
| title_full |
Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina |
| title_fullStr |
Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina |
| title_full_unstemmed |
Processes affecting Aedes aegypti (Diptera: Culicidae) infestation and abundance: Inference through statistical modeling and risk maps in northern Argentina |
| title_sort |
processes affecting aedes aegypti (diptera: culicidae) infestation and abundance: inference through statistical modeling and risk maps in northern argentina |
| publishDate |
2012 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00222585_v49_n3_p722_Garelli http://hdl.handle.net/20.500.12110/paper_00222585_v49_n3_p722_Garelli |
| work_keys_str_mv |
AT garellifernandomiguel processesaffectingaedesaegyptidipteraculicidaeinfestationandabundanceinferencethroughstatisticalmodelingandriskmapsinnorthernargentina AT gurtlerricardoesteban processesaffectingaedesaegyptidipteraculicidaeinfestationandabundanceinferencethroughstatisticalmodelingandriskmapsinnorthernargentina |
| _version_ |
1768544490595811328 |