Historical and projected impact of global climate change on the extrinsic incubation of Dirofilaria immitis
Data files
Nov 21, 2025 version files 4.66 MB
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1980-2024_days_changed_summary.csv
418 B
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Analysis.R
5.88 KB
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global_climate_proportions_inclssp.csv
12.44 KB
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global_climate_proportions.csv
5.92 KB
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Mapping.R
8.44 KB
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Projections.R
10.42 KB
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README.md
2.02 KB
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ssp_summarymaps.zip
475.31 KB
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summarymaps.zip
4.12 MB
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Visualisation.R
18.70 KB
Abstract
Canine heartworm disease is caused by a mosquito-transmitted filarial nematode, Dirofilaria immitis, and the observed heterogenous global distribution of D. immitis cannot be fully explained by the distribution of its vectors. Transmission of D. immitis requires maturation of larvae within the mosquito, requiring a sustained ambient temperature above 14°C. This dataset contains RStudio scripts used to take global temperature data and classify areas as having hyperendemic potential for D. immitis transmission. We used past weather records to investigate the effect of climate change on global D. immitis transmissibility since 1980 and investigated three different carbon emissions scenarios to assess the future impact of projected climate changes in the years 2040, 2070, and 2100.
Dataset DOI: 10.5061/dryad.qv9s4mwsb
Description of the data and file structure
Data files generated from global mapping of canine heartworm's extrinsic incubation period (EIP).
Each summary map is a global raster, with cells representing the count of days supporting extrinsic incubation, and therefore not experiencing temperature-limited transmissibility (TLT).
Files and variables
File: Analysis.R
Description: RStudio script for analysis
File: Mapping.R
Description: RStudio script for mapping
File: Projections.R
Description: RStudio script for mapping of projected weather data
File: Visualisation.R
Description: RStudio script for visualisation
File: summarymaps.zip
Description: zip file of annual count of days each raster cell supported transmission (past years).
File: ssp_summarymaps.zip
Description: zip file of annual count of days each raster cell supported transmission (future years).
File: 1980-2024_days_changed_summary.csv
Description: .csv file used in script. Percentage coverage of land area and human in each TLT change category.
File: global_climate_proportions.csv
Description: .csv file used in script. Percentage coverage of land area and human for each year in each TLT zone (past years)
File: global_climate_proportions_inclssp.csv
Description: .csv file used in script. Percentage coverage of land area and human for each year in each TLT zone (future years)
Code/software
R and RStudio
Version 4.4.1
Packages are listed in the R files
Please run in the following order: Mapping.R -> Projections.R -> Analysis.R -> Visualisation.R
Access information
Data was derived from the following sources: