Take the whole thing

Download the data

The entire sourced backbone, free and citable: a single queryable SQLite database, or one CSV per canonical table. Every file is checksummed in the manifest. The caveats travel with the data, into every export and every citation.

atlas.sqlite
The complete canonical database, all 13 tables. Open it in any SQLite client, or query it with DuckDB.
5.0 MB
sha256 51ede22106
Download database

Per-table CSV exports

One file per canonical table. Same data as the SQLite, flattened for spreadsheets and quick greps.
sources_registry.csv
Provenance registry, one row per dataset republished or derived (license + caveats).
7 rows
2 KB
CSV
country.csv
Country dimension (ISO-3 native), population, region and income from the World Bank.
217 rows
21 KB
CSV
vector_species.csv
The 7 principal vector species, with disease group.
7 rows
362 B
CSV
vector_presence.csv
Per country x species GBIF occurrence counts (present = a record exists, not abundance).
1,519 rows
60 KB
CSV
disease_burden.csv
Per country x disease x metric burden value with its WHO reporting year (null = no data).
1,519 rows
75 KB
CSV
risk_classification.csv
Derived per-country classification: vector richness, Aedes/malaria flags, risk class.
217 rows
13 KB
CSV
work.csv
Literature works (OpenAlex corpus, 2021+): title, DOI, year, citations, venue, flags.
6,136 rows
1.7 MB
CSV
work_theme.csv
Work x theme (a work can carry several of the 12 themes).
9,023 rows
374 KB
CSV
work_country.csv
Work x author-affiliation country (alpha-2).
12,189 rows
353 KB
CSV
intervention_trial.csv
Niche-displacement overlay: intervention research by technology x target vector.
3,261 rows
267 KB
CSV
theme.csv
The 12 tracked themes with field size and CAGR.
12 rows
1 KB
CSV
theme_year_facet.csv
Exact OpenAlex per-theme article counts per year (the trend layer).
108 rows
5 KB
CSV
reading_list.csv
Curated flagship most-cited works per theme.
33 rows
6 KB
CSV
Integrity
The machine manifest lists every file with its byte size and sha256 checksum, so a download can be verified against the published dataset. Data vintage 2026-07-12.
Please cite it

How to cite

The Atlas is a public good. If it informs your work, cite it, that is how an independent reference earns its standing.
Mosticare Ühing (2026). Mosquito Intelligence Atlas, vector distribution, disease burden, and engineered-intervention literature. Derived from GBIF, WHO GHO, World Bank, OpenAlex and Natural Earth. https://www.mosticare.org/atlas
Data dictionary Sources and caveats

Sources and licenses

Redistributed with attribution, as each upstream license requires. The Atlas republishes derived aggregates, not raw third-party records.
SourceLicenseRetrieved
Mosticare-derived risk classificationCC BY 4.0 (Mosticare Ühing)2026-07-02
Mosticare intervention-research overlay (literature-derived)CC BY 4.0 (Mosticare Ühing)2026-07-02
GBIF occurrence facets (7 principal vector species)CC BY 4.0 (per-dataset; cite via GBIF download DOI)2026-07-02
Natural Earth 1:50m admin-0Public domain2026-07-02
OpenAlex, mosquito vector biology & control corpus (12 themes)CC0 1.02026-07-02
WHO Global Health Observatory, World Malaria Report indicatorsWHO GHO terms of use (attribution required)2026-07-02
World Bank Open Data, population (SP.POP.TOTL) + income/region class.CC BY 4.02026-07-02
One honest caveat
GBIF is presence-only and effort-biased, WHO GHO carries no global dengue dataset, and the risk classification is a coarse climatic-band first filter, not a suitability model. These limits are documented in the data dictionary and ship in every row’s provenance.
Mosticare Ühing (2026). Mosquito Intelligence Atlas, vector distribution, disease burden, and engineered-intervention literature. Derived from GBIF, WHO GHO, World Bank, OpenAlex and Natural Earth. https://www.mosticare.org/atlas
Data vintage 2026-07-12. Independent of the funded programmes.