AHRI.NIH.Verbal.Autopsy.Dataset.v1
Verbal Autopsy:Reimagining data and automated cause assignment (using ALPHA network data)
Name | Country code |
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South Africa | zar |
Health and Demographic Surveillance System (HDSS)
The ALPHA (Analysing Longitudinal Population-based HIV/AIDS Data in Africa) Network is a collaboration among 10 longitudinal studies in sub-Saharan Africa. These studies collect data on HIV infection alongside demographic, behavioural, socio-economic and clinical data from residents of the study areas. The Network harmonises these data and conducts comparable and pooled analyses on HIV-related research questions.The ALPHA HIV Incidence and Mortality data,uMkhanyakude is part of the international data harmonisation and analysis programme of the ALPHA network.
The overall aim of the grant is to develop affordable, robust, calibrated methods to assign causes to individual deaths and characterize the distribution of deaths by cause from verbal autopsy (VA) data. As part of ALPHA, all partners are being asked to provide their VA data (all ages) alongside any physician review data available, residency data and HIV data for secondary analysis to address the following objectives:
(i) Preparing VA data in a standardised format, and comparing sex- and age- specific cause-specific mortality fractions across different ALPHA partner study areas
(ii) Assessing the performance of automated methods for assigning causes of death based on verbal autopsy data, against physician review or HIV sero-survey data (where each of these data sources are available)
Once these secondary data have been shared with the ALPHA team, we will check the data for consistency and integrity and clean them with the help of the owners of the data and merge the clean data to form a pooled data set. In collaboration with the team at The Ohio State University, we will prepare distributions of deaths by causes using automated methods, and calculate the cause-specific mortality fractions and rates stratified by key socio-demographic characteristics of the population and look at how they change over time. The performance of automated methods will be assessed in comparison to physician review assignment of cause of death or HIV sero-survey data. These results and outputs will be shared with each partner, with opportunity to provide input, and be involved with writing any papers.
Surveillance Data
Each observation describes either an individual or an individual's period of residence in a household.
Version 1.0.0
Topic | Vocabulary | URI |
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Demography; Epidemiology; HIV; Mortality; Verbal Autopsy | Africa Health Research Institute | www.ahri.org |
South Africa
Village
Household members of the Africa Health Research Institute Population Intervention Programme Study Area
Name | Affiliation |
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Sam Clark | The Ohio State University |
Clara Calvert | LSHTM |
Milly Marston | LSHTM |
Yue Chu | The Ohio State University |
Name |
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Africa Health Research Institute |
Name |
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National Institutes of Health |
Household demographic Surveillance
The original unharmonised data was collected by the Africa Health Research Institute
Start | End |
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2000-01-01 | 2020-12-31 |
Name |
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Africa Health Research Institute |
ALPHA data are harmonised datasets from ALPHA member sites and this dataset is from the Africa Health Research Institute.
Karonga (MW011)
Name | Affiliation | |
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DataFirst | University of Cape Town | support@data1st.org |
Licensed access data, available under conditions
Name | Affiliation | URL | |
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DataFirst helpdesk | University of Cape Town | support@data1st.org | www.support.data1st.org |
NIH.Verbal.Autopsy.Dataset.v1
Name |
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Africa Health Research Institute |
2022-03-21
v01
2.1 - edited and anonymised data for scientific use