East Africa
Kara Wools-Kaloustian and Constantin Yiannoutsos, Principal Investigators
Paula Braitstein and Rachel Vreeman, Co-Principal Investigators
Indiana University School of Medicine
East African IeDEA Regional Data & Coordinating Center
Indiana University School of Medicine serves as the East African IeDEA Regional Data & Coordinating Center in the United States. It provides overall coordination for the East African Consortium including data management and statistical analysis support. In addition the site provides mentoring and practical support to the data managers and biostatisticians at East Africa IeDEA sites.
Mission and Vision Statement:
With 67% of the estimated 33 million people living with HIV/AIDS globally, sub-Saharan Africa remains the region most significantly impacted by the epidemic. In Kenya, Uganda and Tanzania, the three countries within the East African IeDEA Consortium have adult HIV prevalence rates ranging between 5-10%. Since the advent of the global antiretroviral therapy (ART) rollout in 2003, there has been a dramatic increase in the percent coverage of those estimated in need of ART (based on the 2006 WHO guidelines), from essentially no patients on in 2003, to 65% coverage in Kenya, 53% in Uganda, and 44% in Tanzania by the end of 2009. Though this dramatic scale-up of HIV treatment has had a positive impact on mortality rates, key questions remain throughout the course of a patient’s engagement in care, from the pre- ART period through ART-initiation, initial clinical response to ART and regimen durability (occurrence of adverse events and drug resistance), to long-term maintenance, loss to follow-up (LTFU), and death. It is the long-range goal of this consortium to provide answers to the questions that clinicians, programs, and ministries of health consider fundamental to the evolution and sustainability of their long term HIV care and treatment strategies.
Our priority areas for the next phase of the EA-IeDEA Consortium are:
Determine the short and long-term outcomes of adults and children along the entire spectrum of HIV care and examine patient and site-level factors associated with these outcomes.
In ART-naïve patients:
Assess the incidence of ART initiation and quantify the impact of patient and site-level determinants of failure to initiate ART.
In patients initiating ART:
Quantify the types of regimens started, the incidence and determinants of treatment failure, and overall survival.
Assess the cost-effectiveness of various ART monitoring and HIV prevention strategies.
Issues related to loss to follow-up:
Because the rate of losses to follow-up in HIV treatment programs throughout sub-Saharan Africa is a significant threat to the validity of the work done by IeDEA, in East Africa we will enhance our data collection by expanding the sampling-based methods developed during the first grant period, to accommodate losses to follow-up at several sites in our region.
Penetrance and outcomes of prevention of mother to child transmission of HIV (PMTCT) strategies:
East Africa Sites
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Kibaha, Tanzania
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Site Name: Tumbi Special Hospital
Site PI: Kapella Mark Ngonyani - -6.7813218 38.9928898
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Morogoro, Tanzania
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Site Name: Morogoro Regional Hospital
Site PI: Rita Elias Lyamuya - -6.8275902 37.6705205
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Dar Es Salaam, Tanzania
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Site Name: Ocean Road Cancer Institute
Site PI: Emanuel Lugina - -6.8105431 39.2966485
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Masaka, Uganda
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Site Name: Masaka Regional Hospital
Site PI: Dr. John Ssali - -0.3293095 31.7345073
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Mbarara, Uganda
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Site Name: Mbarara University Immune Suppressed Clinic
Site PI: Mwebesa Bosco Bwana
Co-PI: Winnie Muyindike - -0.616370471562 30.6583356857
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Kampala, Uganda
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Site Name: Infectious Disease Institute
Site PI: Andrew Kambugu, Prof. Philippa Easterbrook - 0.3387795 32.5762908
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Kalisizo, Uganda
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Site Name: Rakai Health Sciences Program
Site PI: Fred Nalugoda
Co-Investigators: Valerian Kiggundu, Steve Reynolds - -0.535 31.6225
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Migori, Kenya
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FACES Site: Migori District Hospital
- -1.06333826916 34.4774580002
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Rongo, Kenya
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FACES Site: Rongo District Hospital
- -0.757734144368 34.600045681
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Suba, Kenya
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FACES Site Name: Suba District Hospital
- -1.16309759945 34.4311523438
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Kisumu, Kenya
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FACES Sites:
Lumumba
Tuungane
Pandpieri
Fhok
Kisumu East District Hospital - -0.1012721 34.7557372
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Sio Port, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
Site PI: Samuel Ayaya - 0.224017526167 34.0216970444
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Bumala, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
Site PI: Samuel Ayaya - 0.3041583 34.2060283
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Eldoret, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
Site PI: Samuel Ayaya - 0.5165596 35.2794143
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Bunyala, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
Site PI: Samuel Ayaya - 0.0787282 34.0297651
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Busia, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Nambale
Site PI: Samuel Ayaya - 0.459618407294 34.1062617302
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Eldoret West, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Soy
Site PI: Samuel Ayaya - 0.677188365151 35.1442337036
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Moi University, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Moi University, Wareng
Site PI: Samuel Ayaya - 0.510664377641 35.2814555168
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Moi's Bridge, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
Site PI: Samuel Ayaya - 0.875910971268 35.1191926003
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Uasin Gishu, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Uasin Gishu
Site PI: Samuel Ayaya - 0.5527638 35.3027226
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Khunyangu, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
Site PI: Samuel Ayaya - 0.3354312 34.2728578
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Western, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Port Victoria
Site PI: Samuel Ayaya - 0.0972461233543 33.9732456207
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Kabarnet, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Kabarnet
Site PI: Samuel Ayaya - 0.486289384812 35.7415294647
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Iten, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Iten District Hospital
Site PI: Samuel Ayaya - 0.654659331313 35.4947018623
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Mt. Elgon, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Kapsokwany
- 0.847905 34.702061
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Kitale, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Kitale
- 1.019089 35.0023048
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Teso, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Kocholya
- 0.6197525 34.3452623
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Webuye, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH) Webuye Hospital
- 0.605174136842 34.773022413
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Kisumu West, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH), Chulaimbo
- -0.0379506 34.638404
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Bungoma, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
- 0.569291999441 34.5646319384
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Eldoret, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
Site: Moi Teaching and Referral Hospital - 0.511801588992 35.2805328369
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Amukura, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
- 0.575838 34.270031
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Burnt Forest, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
Site: Burnt Forest - 0.2153963 35.4316201
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Turbo, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
Site: Turbo - 0.6342241 35.0470761
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Mosoriot, Kenya
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Site Name: Academic Model Providing Access to Healthcare (AMPATH)
Site: Mosoriot - 0.322421279582 35.1725149155
