Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 226 days ago
Documentation
Description:
The eDPSEEA model (ecosystems-enriched Drivers, Pressures, State, Exposure, Effects, Actions) is a
conceptual framework for an integrated assessment of human and ecosystem health, which facilitates
an understanding and prediction of complex human-environment and ecosystem interactions.
This project aims to assess the feasibility of using the eDPSEEA model in predicting the shedding of
paper mulberry pollen which may cause acute asthma, by collecting pollen data and correlating it with weather and other parameters; while also studying a cohort of sensitised vs non-sensitised asthma patients, and their response to pollen allergens. A modelling exercise in collaboration with German scientists, will help to devise the prediction model, to predict pollen shedding and dispersal up to 3 days prior to the event. This is important to allow patients and other stakeholders to plan for an impending peak of pollen allergy and it’s subsequent associated complications.
The outcome of this project will help to use the eDPSEEA model in other countries as well, as it is currently being used in Malaysia too.
For further information, see: https://www.ed.ac.uk/usher/respire/chronic-respiratory-disorders/seasonal-pollen-induced-asthma
Coverage
Spatial:
Pakistan
Typical Age Range:
18-150
Provenance
Temporal
Accrual Periodicity:
Static
Start Date:
01 September 2019
End Date:
28 February 2021
Time Lag:
Not applicable
Accessibility
Access
Access Rights:
Access Service:
Access is managed on a project-by-project basis. Please contact the RESPIRE
team.
Delivery Lead Time:
Not applicable
Jurisdictions:
PK
Data Controller:
RESPIRE
Data Processor:
RESPIRE
Usage
Resource Creators:
RESPIRE Collaboration
Format and Standards
Vocabulary Encoding Schemes:
LOCAL
Languages:
en
Formats:
text
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Findings
1
Count
28 February 2021