McCreesh, N, Middelkoop, K and Mohlamonyane, M. 2022. Cape Town social contact data. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00002756.
McCreesh, N, Middelkoop, K and Mohlamonyane, M. Cape Town social contact data [Internet]. London School of Hygiene & Tropical Medicine; 2022. Available from: https://doi.org/10.17037/DATA.00002756.
McCreesh, N, Middelkoop, K and Mohlamonyane, M (2022). Cape Town social contact data. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00002756.
Description
Social contact data collected from 1115 adults (aged 15+ years) located in Western Cape Province, South Africa. It is comprised of five data tables: [1] 'Main data' contains information on participant age, religion, education level, employment status, household income, duration lived in home, number of people in household, places worked in past 4 weeks; [2] 'Household data' contains information on the participants’ household members; [3] 'Close contacts data' contains detailed information on participants’ close contacts; [4] 'Building data' contains information on time spent and people present in indoor locations that the participants visited; and [5] 'Transport data' contains information on time spent and people present on transport used by the participants. The ODK questionnaire is also included.
Keywords
Description of data capture | The study team conducted a social contact survey in a community in Western Cape, South Africa, between May and October 2019. In total, 1530 adults (aged 15+ years) were selected using age- and sex-stratified random sampling, based on a census conducted in the study population in February and March 2019. Of the 1530 people sampled, 1214 (93%) were successfully contacted, 117 (8%) had moved or died, 193 (13%) had had incorrect information listed in the census, and 6 were uncontactable. Of the 1214 people contacted, 77 (6%) refused to be interviewed and 14 were ineligible (due to disability or lack of English and isiXhosa). Of 1123 people interviewed, technical issues meant that data from 8 interviews were lost, leaving 1115 (92%) completed interviews. Participants were assigned a day at random in the previous week, and were asked for information on the people they spoke to (face to face) or touched on that day, the indoor locations they visited, and the transport they used. Basic demographic information and more detailed information on visits to certain types of location were also collected. | ||||||||
---|---|---|---|---|---|---|---|---|---|
Data capture method | Unknown | ||||||||
Data Collection Period |
|
||||||||
Date (Completed) | 24 March 2022 | ||||||||
Geographical area covered |
|
||||||||
Language(s) of written materials | English |
Data Creators | McCreesh, N, Middelkoop, K and Mohlamonyane, M |
---|---|
Associated roles | Middelkoop, K (Co-Investigator) and Mohlamonyane, M (Data Manager) |
LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Research Centre | Centre for the Mathematical Modelling of Infectious Diseases TB Centre |
Research Group | TB Modelling Group |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, University of Cape Town, Rondebosch, Cape Town, South Africa |
Date Deposited | 25 Mar 2022 10:05 |
---|---|
Last Modified | 11 Apr 2022 11:58 |
Publisher | London School of Hygiene & Tropical Medicine |
Downloads
Data / Code
Restricted to: Request access for all
Filename: Social_contact_data.zip
Description: Social contact dataset
Licence: Data Sharing Agreement
Content type: Dataset
File size: 238B
Mime-Type: application/zip
Documentation
Filename: 2756_Codebook.html
Description: Codebook for Cape Town social contact survey dataset
Content type: Textual content
File size: 59kB
Mime-Type: text/html
Study Instrument
Filename: Social_Contact_questionnaire.xlsx
Description: Cape Town social contact survey questionnaire
Content type: Dataset
File size: 88kB
Mime-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet