SAPRIN COVID-19 surveillance intensive cohort April-December 2020: sub-dataset for Protective Behaviours and Secondary Harms paper
DDI.SAPRIN.SC19SICAD2020V1
Guy Harling
Francesc Xavier Gómez-Olivé
Joseph Tlouyamma
Tinofa Mutevedz
Chodziwadziwa Whiteson Kabudula
Ruth Mahlako
Urisha Singh
Daniel Ohene-Kwofie
Rose Buckland
Pedzisai Ndagurwa
Dickman Gareta
Resign Gunda
Thobeka Mngomezulu
Siyabonga Nxumalo
Emily B Wong
Kathleen Kahn
Mark J Siedner
Eric Maimela
Stephen Tollman
Mark Collinson
Agincourt Data Team
DIMAMO Data Team
AHRI Data Team
South African Population Research Infrustructure Network
2025-06-30
Nesstar Publisher
Version 2 (June 2025)
SAPRIN COVID-19 surveillance intensive cohort April-December 2020: sub-dataset for Protective Behaviours and Secondary Harms paper
SAPRIN.SC19SICAD2020V1
Guy Harling
Francesc Xavier Gómez-Olivé
Joseph Tlouyamma
Tinofa Mutevedz
Chodziwadziwa Whiteson Kabudula
Ruth Mahlako
Urisha Singh
Daniel Ohene-Kwofie
Rose Buckland
Pedzisai Ndagurwa
Dickman Gareta
Resign Gunda
Thobeka Mngomezulu
Siyabonga Nxumalo
Emily B Wong
Kathleen Kahn
Mark J Siedner
Eric Maimela
Stephen Tollman
Mark Collinson
South African Population Research Infrustructure Network
This dataset documentation is licensed under a Creative Commons Attribution-Non Commercial 4.0 International License. The dataset is shared in terms of the data-use agreement accepted at the time of data download.
Nesstar Publisher
Department of Science,Technology and Innovation - South African Population Research Infrastructure Network
Wellcome Trust
Wellcome Trust
Royal Society
National Institutes of Health
210479/Z/18/Z
210479/Z/18/Z
NIAD K08AI118538 FIC R21TW011687
SAPRIN Data Management
v1: Dataset for public distribution
COVID-19, Surveillance, South Africa, Screening, Health and Demographic Surveillance System
South Africa; Self report; Prospective studies; Longitudinal studies; COVID-19; Mental health; Social welfare; Masks; Pensions
This study aimed to conduct active COVID-19 surveillance and estimate the health and non-health impacts of the COVID-19 epidemic in rural South Africa. In particular, the study focused on how households responded to the Covid-19 epidemic in terms of COVID-19-related knowledge and protective behaviours, health and economic impacts of NPIs, and mental health. To this end, data was collected during 2020 as part of SAPRIN's wider work to monitor and help respond to the COVID-19 epidemic. Each SAPRIN node sampled a small proportion of households in their surveillance areas (between 750 and 2250) and invited them to participate in intensive study, answering questionnaires every 2-3 weeks between April and December 2020. At each interview, a household representative responded to questions for themselves, for the household as a whole and for each household member. The data was then linked to key sociodemographic features of the responding households. This dataset contains only those variables relevant to the first academic paper published on this cohort (https://doi.org/10.2196/26073).
South Africa
The data are collected in three SAPRIN nodal surveillance areas in South Africa. The Agincourt site covers approximately 420 km2 in Bushbuckridge district, Mpumalanga province, close to the Mozambique border. The DIMAMO site covers approximately 200 km2 in Capricorn district, Limpopo Province, approximately 40 km from urban Polokwane. The AHRI site covers approximately 438 km2 in the southeast of Umkhanyakude district, KwaZulu-Natal province, close to Mtubatuba town. The dataset contains within-node units separating each area into 20-40 sub-units.
Interviews nested within responding households
Eligibility covered all the adult (over age 18) resident population within each of the three SAPRIN nodal sites. Residence was defined as intention to sleep the majority of time at the dwelling in these areas over a four-month period
Event history data
The questionnaire included both household-level and individual-specific questions, the latter of which could be directly addressed by other household members if they were present. The primary respondent acted as a proxy in all other cases. COVID-19 symptom screening was included in the questionnaire, and those who satisfied the Department of Health's COVID-19 symptom criteria were referred for additional investigation, testing, and management.
2020
SAPRIN Data Management
The user of the data acknowledges that the original collector of the data and the relevant funding agencies bear no responsibility for the data's use or interpretation or inferences based upon it.
SC19SICAD2020.NSDstat
0
42
Nesstar 200801
Unique ID for interview
0
0
Date of interview
0
Type of interview conducted
0
0
1
High intensity sample
2
Routine household surveillance
3
Call Centre household surveillance
Data collection wave
0
0
Unique ID for household within node
0
0
Unique ID for household respondent within node
0
0
Sex of household respondent
0
0
-1
Unknown/Missing
1
Male
2
Female
Age of household respondent at interview date
0
0
0
0
1
Yes
2
No
3
Don't know
Outcome of contact attempt
0
0
1
Succesful
2
Refused call
3
Phone out of service
4
Phone not answered
5
Wrong phone number
91
No valid telephone number
92
Past refusal
93
Skipped in error
Household members are wearing face masks
0
0
0
No
1
Yes
PHQ2 score >2, possible depression
0
0
0
No
1
Yes
GAD2 score >2, possible anxiety
0
0
0
No
1
Yes
Number of children in household
0
0
Number of working age adults in household
0
0
Number of people aged over 60 in household
0
0
Number of people in household (res + non-res)
0
0
Quintiles of household wealth within node (1 highest)
0
0
Number of full/parttime employed people in household
0
0
Number of pension grant receivers in household
0
0
Number of non-pension grant receivers in household
0
0
0
0
0
No
1
Yes
Any employed individual in the household at last HDSS interview
0
0
0
No
1
Yes
Government lockdown level at interview date
0
0
1
2020 - Level 5
2
2020 - Level 4
3
2020 - Level 3
4
2020 - Level 3 advanced
5
2020 - Level 2
6
2020 - Level 1
7
2021 - Level 3
8
2021 - Level 3a
AHRI allocation cohort
0
0
1
Waves 1-8
2
Waves 1-9
3
Waves 1-10
4
Waves 9-12
5
Waves 10-14
6
Waves 11-16
7
Waves 13-18
Node data line comes from
0
0
1
AHRI
2
Agincourt
3
Dimamo
Agincourt allocation cohort
0
0
0
Wave 1 only
1
Waves 1-7
2
Waves 1-8
3
Waves 1-9
4
Waves 8-12
5
Waves 9-13
6
Waves 10-15
Randomly selected household cohort
0
0
Month of interview
0
0
1
January
2
February
3
March
4
April
5
May
6
June
7
July
8
August
9
September
10
October
11
November
12
December
Any househld member has left home in past 7 days
0
0
0
No
1
Yes
Combination of node (100s) and study wave
0
0
Summarized highest educational attainment in household
0
0
1
Less than matric
2
Matric
3
Diploma/certificate
4
Degree or above
Outcome of contact attempt successful (binary)
0
0
0
No
1
Yes
Combination of node (100s) and month of 2020
0
0
Respondent feels they know enough or more about COVID-19 pandemic
0
0
0
No
1
Yes
Anyone visited respondents home in past 7 days
0
0
0
No
1
Yes
Any household member unable to access healthcare in past 7 days
0
0
0
No
1
Yes
COVID has affected household's ability to earn money in past 7 days
0
0
0
No
1
Yes
Any daily medicine missed in past week
0
0
0
No
1
Yes
Household members are avoiding going out/to work
0
0
0
No
1
Yes
Household members are avoiding public transport
0
0
0
No
1
Yes
Six age-sex categories of hh primary respondent