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Air Quality Study: An ecological analysis of asthma health outcomes in Malaysia

Population Size

Not reported
Population Size statistic card

Years

2019 - 2020

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

Malaysia

Geographic coverage statistic card

Lead time

Not applicable

Lead time statistic card

Summary

The aim of the study is to assess the feasibility of using the eDPSEEA (ecosystems-enriched Drivers, Pressures, State, Exposure, Effects, Actions) model in Air Quality RESPIRE projects.

Documentation

The aim of the study is to assess the feasibility of using the eDPSEEA (ecosystems-enriched Drivers, Pressures, State, Exposure, Effects, Actions) model in Air Quality RESPIRE projects and pilot the approach to determine the influence of potential environmental factors on asthma events in Malaysia over a 4-year period.

For further details, see: https://www.ed.ac.uk/usher/respire/chronic-respiratory-disorders/ecological-analysis-asthma

Dataset type

Health and disease

Dataset sub-type

Not applicable

Associated media

https://www.ed.ac.uk/usher/respire/chronic-respiratory-disorders/ecological-analysis-asthma

Keywords

Provenance

Image contrast

Not stated

Biological sample availability

None/not available

Details

Publishing frequency

Static

Version

2.0.0

Modified

08/10/2024

Citation Requirements

RESPIRE Collaboration

Coverage

Start date

23/10/2019

End date

31/12/2020

Time lag

Not applicable

Geographic coverage

Malaysia

Accessibility

Language

en

Controlled vocabulary

LOCAL

Format

text

Data Access Request

Dataset pipeline status

Not available

Access rights

https://www.ed.ac.uk/usher/respire/about/projects

Time to dataset access

Not applicable

Access method category

Varies based on project

Access service description

Access is managed on a project-by-project basis. Contact the RESPIRE team:

Jurisdiction

MY

Data Controller

RESPIRE

Data Processor

RESPIRE

Dataset Types: Health and disease

Collection Sources:

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