Data · dataset · 2026
Dataset: Health impact assessment of PM₂.₅ air pollution in Bucaramanga, Colombia, 2022-2023
Listed in Teesside University Research Data Repository
This dataset contains the compiled results of a health impact assessment (HIA) of fine particulate matter (PM₂.₅) air pollution in Bucaramanga, Colombia, for the years 2022 and 2023.
Description
For each cause of death analyzed, the dataset includes: input data (number of cases, mortality rates per 100,000, population at risk, and annual mean PM₂.₅ concentration in µg/m³); AirQ+ software outputs (number of attributable deaths, attributable fraction, and attributable deaths per 100,000 population); and economic valuation of avoidable mortality using the Value of a Statistical Life (VSL) methodology, expressed in USD (exchange rate: 4,200 COP/USD), including central, lower, and upper uncertainty bounds.
Causes of death analyzed include all-cause natural mortality, cardiovascular mortality, respiratory mortality, lung cancer mortality, chronic obstructive pulmonary disease (COPD), and acute lower respiratory infections in children under five years of age. This dataset supports the findings reported in the manuscript "Health impact assessment of fine particulate matter in Bucaramanga, 2022-2023," submitted to Revista Cuidarte.
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Data sources include the air quality monitoring network operated by the Corporación para la Defensa de la Meseta de Bucaramanga (CDMB) and official vital statistics from the Departamento Administrativo Nacional de Estadística (DANE), Colombia.
Links
Where it is published
- DOI doi.org/10.17632/6nwgbkg2ng.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Cancer 75% · Disease 75% · Environmental engineering 68%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/6nwgbkg2ng.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:4011 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (68%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |