Data from: Evaluating vector mosquito occurrence in residential rain barrels in central Illinois
Data files
Oct 23, 2025 version files 76.78 KB
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Cloud_etal_2025_data_code_files.zip
73.67 KB
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README.md
3.10 KB
Abstract
Several species of vector mosquitoes (e.g., Culex pipiens (Linnaeus, 1758), Aedes albopictus (Skuse, 1895)) complete juvenile development in artificial containers. Rain barrels are green infrastructure tools used to conserve rainwater for outdoor use, though they may also serve as a source of mosquito habitat in residential neighborhoods. To identify rain barrel features, maintenance habits, and other conditions associated with the presence of juvenile mosquitoes (i.e., month), we conducted periodic inspections of rain barrels at 53 households in central Illinois, USA, between June and September 2016. Additionally, we administered a questionnaire to the household study participants. In the first month of the study, a diversity of mosquito species was detected in household rain barrels, but for July-September, juveniles of Ae. albopictus were predominant. More than half of the inspected households contained at least one mosquito-positive rain barrel within the study period. Using stepwise model selection, the strongest predictors of whether or not mosquito juveniles were detected in rain barrels were the use of a preventative measure (e.g., Bti, chlorine, goldfish), the presence of a mesh covering on the lid of the barrel, and the month of the year. Additionally, the participant questionnaire revealed that the majority of respondents were aware of immediate elimination methods, but few were aware of the need for long-term preventative maintenance of rain barrels against larval mosquito colonization. These findings provide valuable insight into best practices for mosquito prevention in green infrastructure and highlight the importance of proper maintenance and education to minimize juvenile mosquito habitat.
https://doi.org/10.5061/dryad.n2z34tn77
Description of the data and file structure
R.E. Cloud, A.J. Mackay, M.C. Sanchez, C.E. Wangen, B.F. Allan. Evaluating vector mosquito occurrence in residential rain barrels in central Illinois Journal of Medical Entomology
Cloud_etal_2025_data_code_files.zip
This zip directory contains the data files and R codes required to reproduce analyses in the associated paper evaluating rain barrel features associated with vector mosquito occurrence in residential Champaign Urbana.
Authors
Rebecca E. Cloud
University of Illinois at Urbana-Champaign,
School of Integrative Biology
505 S. Goodwin Ave, Urbana, IL 61801
rcloud3@illinois.edu
Andrew J. Mackay
University of Illinois at Urbana-Champaign, Prairie Research Institute, Illinois Natural History Survey
1902 Griffith Drive, Champaign, IL 61820
amackay@illinois.edu
Maeli C. Sanchez
University of Illinois at Urbana-Champaign,
School of Integrative Biology
505 S. Goodwin Ave, Urbana, IL 61801
Catherine E. Wangen
University of Illinois at Urbana-Champaign,
School of Integrative Biology
505 S. Goodwin Ave, Urbana, IL 61801
Brian F. Allan
University of Illinois at Urbana-Champaign,
School of Integrative Biology
505 S. Goodwin Ave, Urbana, IL 61801
ballan@illinois.edu
Files and variables
File: Cloud_etal_2025_data_code_files.zip
File list (files in Cloud_etal_2025data_code_files.zip)
Cloud_etal_2025_fielddata.csv
Cloud_etal_2025_fielddata.R
Cloud_etal_2025_specimen_ID.csv
Cloud_etal_2025_specimen_ID.R
Cloud_etal_2025_resident_survey.csv
README_Cloud_etal_2025_fielddata.txt
README_Cloud_etal_2025_specimen_ID.txt
README_Cloud_etal_2025_resident_survey.txt
File descriptions
- Cloud_etal_2025_fielddata.csv - Contains the data from repeated inspection of rain barrels at 53 residential sites.
- Cloud_etal_2025_fielddata.R - Contains the code required to build and test the generalized linear mixed model and generate model predictions.
- Cloud_etal_2025_specimen_ID.csv - Contains the identification data for larval specimens collected from rain barrels.
- Cloud_etal_2025_specimen_ID.R - Contains the code required to assess relative abundance of larval mosquito species present in samples collected from rain barrels.
- Cloud_etal_2025_resident_survey.csv - Contains the responses from the survey provided to rain barrel owners.
Code/software
R software and associated package dependencies (https://www.r-project.org/) are required to open and execute the R code files.
Human subjects data
While some survey participants’ responses to questions regarding their management of rain barrels have been included verbatim in the submitted dataset “Cloud_etal_2025_resident_survey.csv”, all direct identifiers of study participants have been removed from our submitted datasets.
