Imperial College London

Jeff Eaton

Faculty of MedicineSchool of Public Health

Senior Lecturer in HIV Epidemiology
 
 
 
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Contact

 

jeffrey.eaton

 
 
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Location

 

Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Slaymaker:2017:10.12688/gatesopenres.12753.1,
author = {Slaymaker, E and McLean, E and Wringe, A and Calvert, C and Marston, M and Reniers, G and Kabudula, CW and Crampin, A and Price, A and Michael, D and Urassa, M and Kwaro, D and Sewe, M and Eaton, JW and Rhead, R and Nakiyingi-Miiro, J and Lutalo, T and Nabukalu, D and Herbst, K and Hosegood, V and Zaba, B},
doi = {10.12688/gatesopenres.12753.1},
journal = {Gates Open Research},
pages = {4--4},
title = {The Network for Analysing Longitudinal Population-based HIV/AIDS data on Africa (ALPHA): Data on mortality, by HIV status and stage on the HIV care continuum, among the general population in seven longitudinal studies between 1989 and 2014},
url = {http://dx.doi.org/10.12688/gatesopenres.12753.1},
volume = {1},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Timely progression of people living with HIV (PLHIV) from the point of infection through the pathway from diagnosis to treatment is important in ensuring effective care and treatment of HIV and preventing HIV-related deaths and onwards transmission of infection.  Reliable, population-based estimates of new infections are difficult to obtain for the generalised epidemics in sub-Saharan Africa.  Mortality data indicate disease burden and, if disaggregated along the continuum from diagnosis to treatment, can also reflect the coverage and quality of different HIV services.  Neither routine statistics nor observational clinical studies can estimate mortality prior to linkage to care nor following disengagement from care.  For this, population-based data are required. The Network for Analysing Longitudinal Population-based HIV/AIDS data on Africa brings together studies in Kenya, Malawi, South Africa, Tanzania, Uganda, and Zimbabwe.  Eight studies have the necessary data to estimate mortality by HIV status, and seven can estimate mortality at different stages of the HIV care continuum.  This data note describes a harmonised dataset containing anonymised individual-level information on survival by HIV status for adults aged 15 and above. Among PLHIV, the dataset provides information on survival during different periods: prior to diagnosis of infection; following diagnosis but before linkage to care; in pre-antiretroviral treatment (ART) care; in the first six months after ART initiation; among people continuously on ART for 6+ months; and among people who have ever interrupted ART.
AU - Slaymaker,E
AU - McLean,E
AU - Wringe,A
AU - Calvert,C
AU - Marston,M
AU - Reniers,G
AU - Kabudula,CW
AU - Crampin,A
AU - Price,A
AU - Michael,D
AU - Urassa,M
AU - Kwaro,D
AU - Sewe,M
AU - Eaton,JW
AU - Rhead,R
AU - Nakiyingi-Miiro,J
AU - Lutalo,T
AU - Nabukalu,D
AU - Herbst,K
AU - Hosegood,V
AU - Zaba,B
DO - 10.12688/gatesopenres.12753.1
EP - 4
PY - 2017///
SN - 2572-4754
SP - 4
TI - The Network for Analysing Longitudinal Population-based HIV/AIDS data on Africa (ALPHA): Data on mortality, by HIV status and stage on the HIV care continuum, among the general population in seven longitudinal studies between 1989 and 2014
T2 - Gates Open Research
UR - http://dx.doi.org/10.12688/gatesopenres.12753.1
UR - https://www.ncbi.nlm.nih.gov/pubmed/29528045
UR - http://hdl.handle.net/10044/1/58899
VL - 1
ER -