Timestamp
1990-2019
Data source
Impacts of anthropization on mosquitoes
Article: owidmalaria
Author: Antoine Perrin, Olivier Glaizot, Philippe Christe
Journal: Global Change Biology
Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9828797/a
Dataset
Metadata
geographic_country: The specific countries or regions under consideration.
disturbance_type: Divided into two crucial categories - urbanization and agriculture. Each entry in the dataset is associated with either urbanization or agriculture, providing a clear distinction between these two crucial types of disturbances.
geographic_continent: specifies the geographic continent associated with each country in the dataset.
Protocol
Data quality check:
- Examine the dataset for outliers and missing values
- Address missing values and outliers through proper measures
Country selection:
- Filter out non-African countries based on the column ‘geographic_continent’.
Column filtration:
- Remove unnecessary columns
Filter the year:
- For consistency, we focused our analysis on the years 1990 to 2019, ensuring a standardized timeframe throughout our study.
Group by the disturbance type column:
- We organized the data by grouping African countries based on their disturbance types, creating a dataset that pairs countries with their respective disturbance categories.