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Data_Science_and_Evaluation

Exposure Pathways Between Climate and Health 2022

Uganda, 2007 - 2022
Data Science and Evaluation (DSE)
Agnes Kiragga, Jim Todd, Dan Kajungu, Marylene Wamukoya, Mia Cramplin, Mark Urassa
Last modified October 16, 2024 Page views 287 Documentation in PDF Metadata DDI/XML JSON

Identification

IDNO
LACUNA.2024.V1.0
Title
Exposure Pathways Between Climate and Health 2022
Country
Name Country code
Uganda UG
Abstract
Understanding climate change and the associated impacts on human health and wellbeing is one of the major intractable challenges facing planning departments, policy makers and health researchers in the coming decades. Novel approaches such as data science techniques which use routine and big data sources will be critical in supporting this area of enquiry to evaluate the effect of climate change in communities.
Through our Implementation Network for Sharing Population Information from Research Entities (INSPIRE), we have access to African population health data from 11 Health Demographic and Surveillance Sites (HDSS). These data contain demographic vital registration outcomes such as births, Death and mortality collected over 10 years in rural and urban African communities. As part of the INSPIRE data standardization and governance, all HDSS data are transformed into the INSPIRE OMOP Common Data Model (CDM) to allow systematic analyses using common terminologies, vocabularies and coding schemes.
We plan to secure daily ground and remote sensor climate data from the respective national meteorological offices. Climate data will cover the areas/countries in which the HDSS sites are located and transformed into the INSPIRE CDM and used to investigate the effect of climate change on mortality and morbidity outcomes. The linked and labelled datasets will be made FAIR using standard platforms
including schema.org and governed through the INSPIRE secretariat. Project findings and outputs will be shared with national and sub-national policy-makers and researchers to inform effective data-driven decision making on mitigating the effects of climate change on health outcomes in Africa.
Kind of Data
Verbal autopsy

Scope

Topic Classification
Topic Vocabulary URI
Verbal autopsy CIEL https://openconceptlab.org/
Cause of Death MeSH https://www.ncbi.nlm.nih.gov/
ICD-10 MeSH https://www.ncbi.nlm.nih.gov/
Climate MeSH https://www.ncbi.nlm.nih.gov/

Coverage

Geographic Coverage
The Iganga-Mayuge HDSS is located in the Iganga and Mayuge districts in Eastern Uganda. The demographic surveillance area consists of 65 villages spread over a 155 km square area with a population of 94,568 at the end of 2017. The average household size is five individuals, and the area is predominantly rural, with some peri-urban areas. Subsistence agriculture is the main occupation.
Unit of Analysis
Individual, household interviews and climate data
Universe
This data file includes information on deaths that occurred among residents within the Health and Demographic Surveillance System (HDSS) study area from January 1, 2007, to December 31, 2022. Causes of death were classified using the Inter-VA classification algorithm

Producers and sponsors

Authoring entity/Primary investigators
Agency Name Affiliation
Agnes Kiragga APHRC
Jim Todd LSHTM
Dan Kajungu IMHDSS
Marylene Wamukoya APHRC
Mia Cramplin LSHTM
Mark Urassa NIMR
Producers
Name Affiliation Role
David Amadi LSHTM DDI author
Maureen Ngetich APHRC Technical Assistance
Flavian Otieno APHRC Technical Assistance
Agnes Karigga APHRC Technical Assistance
Funding Agency/Sponsor
Name Abbreviation Role
Lacuna Fund LF Current Funder
Other Identifications/Acknowledgments
Name Affiliation Role
Iganga Mayuge Data Team IMHDSS Providing Data
INSPIRE-Network INSPIRE Providing IT Infrastucture for Data Processing

Sampling

Sampling Procedure
All residents mortalities in the IMHDSS are included in the dataset

Data Collection

Dates of Data Collection (YYYY/MM/DD)
Start date End date Cycle
2007-01-01 2022-12-31 IMHDSS
Mode of data collection
Verbal autopsy procedures (Interviewing surviving relatives or caregivers of the deceased to gather information about the circumstances surrounding the death)

Data access

Citation requirement
D. Kajungu et al., "Cohort Profile: The Iganga-Mayuge Health and Demographic Surveillance Site, Uganda (IMHDSS, Uganda)," Int. J. Epidemiol., vol. 49, no. 4, pp. 1082-1082g, Aug. 2020, doi: 10.1093/ije/dyaa064.

Metadata production

Document ID
DDI.INSPIRE.LACUNA.2022.V1.0
Producers
Name Abbreviation Affiliation Role
David Amadi DA LSHTM DDI author
Dan Kajungu DK IMHDSS Technical assistance in data collection and processing
Agnes Kiragga AN APHRC Documentation of Study and Review of the metadata
Maureen Ng'etich MN APHRC Documentation of Study and Review of the metadata
Flavian Otieno FO APHRC Documentation of Study and Review of the metadata