Strengthening Routine Data Systems to Track the HIV Epidemic and Guide the Response in Sub-Saharan Africa.

Rice, Brian; Boulle, Andrew; Baral, Stefan; Egger, Matthias; Mee, Paul; Fearon, Elizabeth; Reniers, Georges; Todd, Jim; Schwarcz, Sandra; Weir, Sharon; Rutherford, George; Hargreaves, James (2018). Strengthening Routine Data Systems to Track the HIV Epidemic and Guide the Response in Sub-Saharan Africa. JMIR Public health and surveillance, 4(2), e36. JMIR Publications 10.2196/publichealth.9344

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The global HIV response has entered a new phase with the recommendation of treating all persons living with HIV with antiretroviral therapy, and with the goals of reducing new infections and AIDS-related deaths to fewer than 500,000 by 2020. This new phase has intensive data requirements that will need to utilize routine data collected through service delivery platforms to monitor progress toward these goals. With a focus on sub-Saharan African, we present the following priorities to improve the demand, supply, and use of routine HIV data: (1) strengthening patient-level HIV data systems that support continuity of clinical care and document sentinel events; (2) leveraging data from HIV testing programs; (3) using targeting data collection in communities and among clients; and (4) building capacity and promoting a culture of HIV data quality assessment and use. When fully leveraged, routine data can efficiently provide timely information at a local level to inform action, as well as provide information at scale with wide geographic coverage to strengthen estimation efforts.

Item Type:

Journal Article (Further Contribution)


04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

UniBE Contributor:

Egger, Matthias


600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services




JMIR Publications




Tanya Karrer

Date Deposited:

17 Apr 2018 11:33

Last Modified:

15 Apr 2020 15:19

Publisher DOI:


PubMed ID:


Uncontrolled Keywords:

HIV cascade clinical data monitoring prevention program quality assessment sub-Saharan Africa surveillance systems testing treatment




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