Spatial Distribution of <i>Aedes aegypti</i> Oviposition Temporal Patterns and Their Relationship with Environment and Dengue Incidence
<i>Aedes aegypti</i>, the mosquito species transmitting dengue, zika, chikungunya and yellow fever viruses, is fully adapted to thrive in urban areas. The temporal activity of this mosquito, however, varies within urban areas which might imply different transmission risk. In this work, w...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Insects |
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| Online Access: | https://www.mdpi.com/2075-4450/12/10/919 |
| _version_ | 1797514267449098240 |
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| author | Verónica Andreo Ximena Porcasi Claudio Guzman Laura Lopez Carlos M. Scavuzzo |
| author_facet | Verónica Andreo Ximena Porcasi Claudio Guzman Laura Lopez Carlos M. Scavuzzo |
| author_sort | Verónica Andreo |
| collection | DOAJ |
| description | <i>Aedes aegypti</i>, the mosquito species transmitting dengue, zika, chikungunya and yellow fever viruses, is fully adapted to thrive in urban areas. The temporal activity of this mosquito, however, varies within urban areas which might imply different transmission risk. In this work, we hypothesize that temporal differences in mosquito activity patterns are determined by local environmental conditions. Hence, we explore the existence of groups of temporal patterns in weekly time series of <i>Ae. aegypti</i> ovitraps records (2017–2019) by means of time series clustering. Next, with the aim of predicting risk in places with no mosquito field data, we use machine learning classification tools to assess the association of temporal patterns with environmental variables derived from satellite imagery and predict temporal patterns over the city area to finally test the relationship with dengue incidence. We found three groups of temporal patterns that showed association with land cover diversity, variability in vegetation and humidity and, heterogeneity measured by texture indices estimated over buffer areas surrounding ovitraps. Dengue incidence on a neighborhood basis showed a weak but positive association with the percentage of pixels belonging to only one of the temporal patterns detected. The understanding of the spatial distribution of temporal patterns and their environmental determinants might then become highly relevant to guide the allocation of prevention and potential interventions. Further investigation is still needed though to incorporate other determinants not considered here. |
| first_indexed | 2024-03-10T06:29:12Z |
| format | Article |
| id | doaj.art-c09cc3d13fda44398f1a1bd30514de8f |
| institution | Directory Open Access Journal |
| issn | 2075-4450 |
| language | English |
| last_indexed | 2024-03-10T06:29:12Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Insects |
| spelling | doaj.art-c09cc3d13fda44398f1a1bd30514de8f2023-11-22T18:39:38ZengMDPI AGInsects2075-44502021-10-01121091910.3390/insects12100919Spatial Distribution of <i>Aedes aegypti</i> Oviposition Temporal Patterns and Their Relationship with Environment and Dengue IncidenceVerónica Andreo0Ximena Porcasi1Claudio Guzman2Laura Lopez3Carlos M. Scavuzzo4Instituto de Altos Estudios Espaciales “Mario Gulich”, Falda del Cañete, Córdoba 5187, ArgentinaInstituto de Altos Estudios Espaciales “Mario Gulich”, Falda del Cañete, Córdoba 5187, ArgentinaPrograma de Zoonosis, Área de Epidemiología, Ministerio de Salud, Córdoba 5000, ArgentinaPrograma de Zoonosis, Área de Epidemiología, Ministerio de Salud, Córdoba 5000, ArgentinaInstituto de Altos Estudios Espaciales “Mario Gulich”, Falda del Cañete, Córdoba 5187, Argentina<i>Aedes aegypti</i>, the mosquito species transmitting dengue, zika, chikungunya and yellow fever viruses, is fully adapted to thrive in urban areas. The temporal activity of this mosquito, however, varies within urban areas which might imply different transmission risk. In this work, we hypothesize that temporal differences in mosquito activity patterns are determined by local environmental conditions. Hence, we explore the existence of groups of temporal patterns in weekly time series of <i>Ae. aegypti</i> ovitraps records (2017–2019) by means of time series clustering. Next, with the aim of predicting risk in places with no mosquito field data, we use machine learning classification tools to assess the association of temporal patterns with environmental variables derived from satellite imagery and predict temporal patterns over the city area to finally test the relationship with dengue incidence. We found three groups of temporal patterns that showed association with land cover diversity, variability in vegetation and humidity and, heterogeneity measured by texture indices estimated over buffer areas surrounding ovitraps. Dengue incidence on a neighborhood basis showed a weak but positive association with the percentage of pixels belonging to only one of the temporal patterns detected. The understanding of the spatial distribution of temporal patterns and their environmental determinants might then become highly relevant to guide the allocation of prevention and potential interventions. Further investigation is still needed though to incorporate other determinants not considered here.https://www.mdpi.com/2075-4450/12/10/919mosquitoesclusteringtime seriesEarth Observationmachine learning |
| spellingShingle | Verónica Andreo Ximena Porcasi Claudio Guzman Laura Lopez Carlos M. Scavuzzo Spatial Distribution of <i>Aedes aegypti</i> Oviposition Temporal Patterns and Their Relationship with Environment and Dengue Incidence Insects mosquitoes clustering time series Earth Observation machine learning |
| title | Spatial Distribution of <i>Aedes aegypti</i> Oviposition Temporal Patterns and Their Relationship with Environment and Dengue Incidence |
| title_full | Spatial Distribution of <i>Aedes aegypti</i> Oviposition Temporal Patterns and Their Relationship with Environment and Dengue Incidence |
| title_fullStr | Spatial Distribution of <i>Aedes aegypti</i> Oviposition Temporal Patterns and Their Relationship with Environment and Dengue Incidence |
| title_full_unstemmed | Spatial Distribution of <i>Aedes aegypti</i> Oviposition Temporal Patterns and Their Relationship with Environment and Dengue Incidence |
| title_short | Spatial Distribution of <i>Aedes aegypti</i> Oviposition Temporal Patterns and Their Relationship with Environment and Dengue Incidence |
| title_sort | spatial distribution of i aedes aegypti i oviposition temporal patterns and their relationship with environment and dengue incidence |
| topic | mosquitoes clustering time series Earth Observation machine learning |
| url | https://www.mdpi.com/2075-4450/12/10/919 |
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