Data and analysis script for "Vector diversity and malaria prevalence: global trends and local determinants"

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)