| Literature DB >> 32737356 |
André Barretto Bruno Wilke1, Chalmers Vasquez2, Augusto Carvajal2, Johana Medina2, Catherine Chase3, Gabriel Cardenas3, John-Paul Mutebi4, William D Petrie2, John C Beier3.
Abstract
Aedes aegypti is the main vector of dengue, Zika, chikungunya, and yellow fever viruses. Controlling populations of vector mosquito species in urban environments is a major challenge and being able to determine what aquatic habitats should be prioritized for controlling Ae. aegypti populations is key to the development of more effective mosquito control strategies. Therefore, our objective was to leverage on the Miami-Dade County, Florida immature mosquito surveillance system based on requested by citizen complaints through 311 calls to determine what are the most important aquatic habitats in the proliferation of Ae. aegypti in Miami. We used a tobit model for Ae. aegypti larvae and pupae count data, type and count of aquatic habitats, and daily rainfall. Our results revealed that storm drains had 45% lower percentage of Ae. aegypti larvae over the total of larvae and pupae adjusted for daily rainfall when compared to tires, followed by bromeliads with 33% and garbage cans with 17%. These results are indicating that storm drains, bromeliads and garbage cans had significantly more pupae in relation to larvae when compared to tires, traditionally know as productive aquatic habitats for Ae. aegypti. Ultimately, the methodology and results from this study can be used by mosquito control agencies to identify habitats that should be prioritized in mosquito management and control actions, as well as to guide and improve policies and increase community awareness and engagement. Moreover, by targeting the most productive aquatic habitats this approach will allow the development of critical emergency outbreak responses by directing the control response efforts to the most productive aquatic habitats.Entities:
Mesh:
Year: 2020 PMID: 32737356 PMCID: PMC7395141 DOI: 10.1038/s41598-020-69759-5
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Number of immature Aedes aegypti collected in Miami-Dade County, Florida, from June 1st, 2018 to October 31st, 2019 by habitat.
| Habitats | Inspections | Larvae | Pupae | Total | Average | Average Larvae | Average Pupae |
|---|---|---|---|---|---|---|---|
| Bromeliads | 739 | 2,488 | 847 | 3,335 | 5 | 3 | 1 |
| Buckets | 363 | 3,846 | 618 | 4,464 | 12 | 11 | 2 |
| Flower Pots | 281 | 3,484 | 560 | 4,044 | 14 | 12 | 2 |
| Fountains | 188 | 1,628 | 240 | 1,868 | 10 | 9 | 1 |
| Garbage cans | 75 | 639 | 121 | 760 | 10 | 9 | 2 |
| Planters | 70 | 544 | 93 | 637 | 9 | 8 | 1 |
| Plastic containers | 158 | 1,581 | 242 | 1,823 | 12 | 10 | 2 |
| Storm drains | 452 | 642 | 341 | 983 | 2 | 1 | 1 |
| Tires | 229 | 2,468 | 272 | 2,740 | 12 | 11 | 1 |
Tobit regression model of the percentage of Aedes aegypti larvae over the total of larvae and pupae adjusted for daily rainfall in Miami-Dade County, Florida, from June 1st, 2018 to October 31st, 2019 by habitat.
| Habitats | Estimate | Standard error | Significance |
|---|---|---|---|
| Intercept | 0.994814 | 0.04234 | |
| Rainfall | − 0.057539 | 0.02833 | |
| Bromeliads | − 0.339891 | 0.04741 | |
| Buckets | 0.041822 | 0.05354 | 0.4348 |
| Plastic Containers | − 0.045725 | 0.06541 | 0.4845 |
| Flower Pots | − 0.010125 | 0.05634 | 0.8574 |
| Fountains | 0.00686 | 0.06206 | 0.912 |
| Garbage Cans | − 0.176147 | 0.08135 | |
| Planters | 0.0135 | 0.08615 | 0.8755 |
| Storm Drains | − 0.456627 | 0.05026 | |
| Tires | 0 | ||
| Sigma | 0.563806 | 0.01285 |
Significant values (P < 0.05) are highlighted in bold.
Figure 1Robust regression estimates of the linear association between daily rainfall and the percentage of Aedes aegypti larvae over the total of larvae and pupae within aquatic habitats in Miami-Dade County, Florida, from June 1st, 2018 to October 31st, 2019.
Figure 2Map showing the location of the mosquito inspections in Miami-Dade, Florida from June 1st, 2018 to October 31st, 2019. The red dots represent the point source location of the 311 complaint calls that were investigated for potential sources for mosquito breeding and development in a 50-m radius from the complaint location. Figure was produced using ArcGIS 10.2 (Esri, Redlands, CA) using freely available layers from the Miami-Dade County’s Open Data Hub—https://gis-mdc.opendata.arcgis.com/.