AHRI.RD05-13.HDSS.HIV.2016
AHRI HDSS:Individual Health Surveillance HIV 2016
Name | Country code |
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South Africa | ZA |
The Africa Centre Demographic Information System (ACDIS) was established in 2000 by the Africa Health Research Institute (AHRI; formerly the Africa Centre for Health and Population Studies) covering a population of approximately 85,0000 residents and non-residents from an area 438km2 in size in uMkhanyakude district, KwaZulu-Natal province, South Africa.
The 2016, the “Eligibility List” for the 2016 Round of the HIV Surveillance used 2 December 2016 as its reference date. The criteria for inclusion were all males and females aged 15 and over.
Note that from 2012, unlike in earlier years, no non-residents are included.
The total number eligible is 36,650, so this is the number of rows in the dataset.
The field visits occurred from January 2016 to December 2016. At the time of visit some people included in the Eligibility List were found to in fact be ineligible - perhaps because they were dead, very sick, or had outmigrated - events either not known about at the time the Eligibility List was compiled or occurring between the drawing up of the Eligibility List and the actual visit.
These 'retrospective ineligibilities' are identifiable in the dataset as 'Premature Completions' with reasons such as “Death or “Outmigration”. There were also some individuals who could not be contacted, even after repeated visits and 'tracking' attempts for those who were reported to have moved. These are identifiable as PrematureCompletionReason = Non-Contact. Additionally, some people were contacted but refused to participate in the survey. They are identifiable by VisitType = Refusal. Finally, there are some who participated in the survey, but refused the HIV test offered. They are identifiable as HIVRefused = 'Y'.
Individual Surveillance forms were redesigned in 2013. No questions were added or removed, but the BMF form was renamed as IHO - Individual Health Observation (image below). The Informed Consent questions, formerly on the CFZ form, were incorporated into the IHO form, and some of the questions previously on the BMF form were moved to the MGH/WGH forms. Finally, visit details and Premature Completion / refusal information is now collected just once on the IHO, not separately on both BMF and WGH/MGH.
This dataset includes only those included in the Eligibility List.
Criteria for inclusion into the Eligibility List was changed in 2012 to include only the residents and the age limit was removed for both males and females. Therefore, all resident males and females aged 15 years and above were eligible for the HIV surveillance.
Individuals were free to refuse to participate in and to withdraw from the individual surveys, without any impact on routine health care or other services to which they were entitled. If a household refused to participate in the household component, its members were not invited to participate in the individual component during that same household visit.
Note: Users of these datasets are strongly encouraged to refer to the questionnaires included in the documentation for the annual datasets to check carefully for any changes in question wording, ordering, options offered etc. This document does not attempt to describe every single change and variation.
For more refer:
Surveillance data
AHRI HDSS Individual surveillance eligible individuals
v1.0.0
Topic | Vocabulary | URI |
---|---|---|
HIV, Population, Surveillance, HIV Incidence, HIV prevalence, Epidemiology, Africa, Demography, information systems, South Africa, KwaZulu-Natal, Medical, Population Intervention | Africa Health Research Institute | www.ahri.org |
AHRI's Demographic Surveillance Area (DSA) is situated in Mtubatuba local authority, uMkhanyakude district, KwaZulu-Natal province which is approximately 200km north of Durban.
For more refer:
Dickman Gareta, Kathy Baisley, Thobeka Mngomezulu, Theresa Smit, Thandeka Khoza, Siyabonga Nxumalo, Jaco Dreyer, Sweetness Dube, Nomathamsanqa Majozi, Gregory Ording-Jesperson, Eugene Ehlers, Guy Harling, Maryam Shahmanesh, Mark Siedner, Willem Hanekom, Kobus Herbst, Cohort Profile Update: Africa Centre Demographic Information System (ACDIS) and population-based HIV survey, International Journal of Epidemiology, Volume 50, Issue 1, February 2021, Pages 33-34, <https>
Tanser F, Hosegood V, Bärnighausen T, Herbst K, Nyirenda M, Muhwava W, Newell C, Viljoen J, Mutevedzi T, Newell ML. Cohort Profile: Africa Centre Demographic Information System (ACDIS) and population-based HIV survey. Int J Epidemiol. 2008 Oct;37(5):956-62. doi: 10.1093/ije/dym211. Epub 2007 Nov 12. PMID: 17998242; PMCID: PMC2557060.
Iwuji CC, Orne-Gliemann J, Larmarange J, Balestre E, Thiebaut R, Tanser F, Okesola N, Makowa T, Dreyer J, Herbst K, McGrath N, Bärnighausen T, Boyer S, De Oliveira T, Rekacewicz C, Bazin B, Newell ML, Pillay D, Dabis F; ANRS 12249 TasP Study Group. Universal test and treat and the HIV epidemic in rural South Africa: a phase 4, open-label, community cluster randomised trial. Lancet HIV. 2018 Mar;5(3):e116-e125. doi: 10.1016/S2352-3018(17)30205-9. Epub 2017 Nov 30. PMID: 29199100.
All resident household members from AHRI's DSA who met eligibility criteria and gave informed consent for their surveillance participation.
Name | Affiliation |
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Dr Abraham Jacobus Herbst | Africa Health Research Institute |
Prof. Willem Hanekom | Africa Health Research Institute |
Prof. Janet Seeley | Africa Health Research Institute |
Prof. Maryam Shahmanesh | Africa Health Research Institute |
Dr. Guy Harling | Africa Health Research Institute |
Dr. Mark Siedner | Africa Health Research Institute |
Name |
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Africa Health Research Institute |
Name | Abbreviation | Role |
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Welcome Trust | WT | Funder |
DSI-MRC South African Population Research Infrastructure Network | SAPRIN | Funder |
Name | Affiliation | Role |
---|---|---|
Thobeka Mngomezulu | AHRI | Data collection |
Phumzile Dlamini | AHRI | Data collection |
Lindiwe Sithole | AHRI | Data collection |
Bonginkosi Ntimane | AHRI | Data quality |
Njabulo Myeni | AHRI | Data quality |
Eugene Ehlers | AHRI | Software Development |
Eugene Prenzler | AHRI | Data Analytics |
Brendan Gilbert | AHRI | IT infrastructure |
Sweetness Dube | AHRI | Data documentation |
Siyabonga Nxumalo | AHRI | Research Data management |
Dickman Gareta | AHRI | Research Data management |
Kathy Baisley | AHRI | Statistics |
All individuals meeting the eligibility criteria described in the abstract
Start | End |
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2016-01-01 | 2016-12-05 |
Surveillance data is processed and stored on servers under the physical control of AHRI until datasets are made available on the data repository. The data is de-identified and can then be downloaded for processing on the data user's computer.
Data is stored on industry-standard relational databases with data integrity and user authentication for access control. Data is replicated on at least a daily basis to the Durban site of the Institution to provide secure offsite storage of data. Transactional logs are backed up every 30 minutes to enable recovery of data in the event of equipment failure.
All users of the system are authenticated through individual passwords with minimum complexity and regular change rules (passwords must be at least eight digits, with a mix of small and capital letters, at least one numeric or non-alphabetic digit and changed at least every 45 days). AHRI uses industry standard malware and intrusion detection with at least annual penetration tests by a reputable outside security audit company.
Both at the Institute and for the clinic-based data collection, a client-server architecture is implemented where data is not stored on laptops or local workstation, but only on a central server with restricted physical access. Specifically, at the clinics the local server is enclosed in a tamper-proof enclosure kept under lock and key. The server hard disk is encrypted.
Access to the data requires accurate completion of the online data access application form accessible on the AHRI Data repository(<https>). Data users are required to abide by the data use conditions stipulated on the application for access to the data. Failure to do so may result in their data access privileges being revoked by the Data Custodian. In order to recognise the effort and intellectual contributions of AHRI investigators in producing and curating the data, users of AHRI data must acknowledge the source of the data and abide by the terms and conditions under which the data is accessed and must cite the dataset in publication using the citation provided as part of this documentation. All analytical datasets published on the AHRI Data Repository are assigned digital object identifier (DOIs) and the DOIs can be found on the Data Repository under Study Description tab - Access policy. AHRI data users are required to always cite the dataset using the relevant DOI.
Herbst, K., Hanekom, W., Seeley, J., Shahmanesh, M., Harling, G., & Siedner, M. (2023). AHRI HDSS:Individual Health Surveillance HIV 2016 [Data set]. Africa Health Research Institute. DOI:https://doi.org/10.23664/AHRI.RD05-13.HDSS.HIV.2016
DDI.AHRI.RD05-13.HDSS.HIV.2016
Name | Abbreviation |
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Africa Health Research Institute | AHRI |