DOI: 10.5281/zenodo.17209462
title: Data and analysis script for "Vector diversity and malaria prevalence: global trends and local determinants"

description: Overview

We curated a dataset of global malaria prevalence and vector distribution by integrating information from multiple open-access databases. Epidemiological (Plasmodium falciparum parasite rate) and entomological (occurrence of primary vector species) data were extracted from the Malaria Atlas Project (MAP), matched in space (within 1x1 km2 of each other) and time (overlapped in study period), and aggregated to the community level. Monthly temperature and precipitation were extracted from Copernicus Climate Change Service. The sub-national (i.e., administrative units within a country) per capita gross domestic product, used as our proxy for economic condition, was extracted from Kummu et al. (2018). The final dataset consisted of 126 independent descriptions of vector community composition from 86 locations across three continents, 17 countries, and 15 years (1990-2005).

 

Files and variables

Data: 20250717_vector_comm_wide.csv

Description: 

Variables





uniqueID: Unique ID for each independent observation of a vector community




siteID: Unique ID for each study location




studyID: Unique ID for each study




lat: Latitudinal position of the study location




long: Longitudinal position of the study location




country: Country of study location




continent: Continent of study location




year: Study year (year of completion for multi-year studies)




malaria.positive: Number of individuals positive for malaria




malaria.examined: Number of individuals examined for malaria




malaria.prevalence: Malaria prevalence (no. positive/no. examined)




average.prevalence.site: Average malaria prevalence by site




vector.sample.method: Vector sampling method




vector.sample.method.details: List of all methods used in mixed-methods approaches




indoorVSoutdoor: Whether vector sampling was conducted indoors, outdoors, or both




total.sr: Total vector species richness (primary+secondary)




total.sr.site: Number of unique vector species at each site




primary.sr: Primary vector species richness




primary.sr.site: Number of unique primary vector species at each site




total.abun: Total vector abundance (available for 83 independent observations)




percent.dvs.by.sr: Proportion primary vectors by species richness




percent.dvs.by.abun: Proportion primary vectors by abundance (available for 83 independent observations)




gdp: Per capita gross domestic product given in constant 2011 international US dollars




temp: Monthly temperature ($^\circ$C; averaged across study period for multi-month studies)




rain: Monthly rainfall (cm/day; averaged across study period for multi-month studies)




temp.delayed: Temperature of month prior ($^\circ$C; averaged across study period for multi-month studies)




rain.delayed: Rainfall of month prior (cm/day; averaged across study period for multi-month studies)




vector.citation: Citation for vector data




epi.citation: Citation for epidemiological data



Code/software

Data analysis script in Rmd format provided (20250717_analysis_script.rmd)

 

Access information

Other publicly accessible locations of the data:





NA



Data was derived from the following sources:





Malaria Atlas Project: https://malariaatlas.org/ (Creative Commons Attribution 3.0 Unported License)




Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015: https://doi.org/10.5061/dryad.dk1j0 (Creative Commons Attribution 4.0 International License)




Copernicus Climate Change Service: https://climate.copernicus.eu/ (CC-BY licence)