HIV Platform tool

Tools for public health
HIV remains one of the most important public health concerns in the European Union and European Economic Area (EU/EEA). Accurate data are therefore crucial to appropriately direct and evaluate public health response.

The ECDC HIV Platform Tool is an end-user application that uses statistical and mathematical methods to calculate adjusted estimates from HIV surveillance data, considering the issues of missing data and reporting delay and employing modelling techniques. The tool accepts case-based surveillance data for HIV, containing a minimum required set of variables.

Access

The tool can be accessed through the following options:

1. The HIV Platform Tool 

a) Download the deployment package from here: https://www.nextpagesoft.net/hivPlatform/windows/hivPlatform_3.1.5_20250403. This offline package can be run only on 64-bit versions of Microsoft Windows (7, 8, 10).

2. For experienced R users a CRAN-like repository is set up for installing the tool as R package

The repository of R packages is available here: https://www.nextpagesoft.net/hivPlatform/repo/

To review the prerequisites and access all materials needed to prepare, analyse and interpret the data, please access the EVA platform.

Disclaimer

ECDC accepts no responsibility or liability whatsoever (including but not limited to any direct or consequential loss or damage it might occur to you and/or any other third party) arising out of or in connection with the installation and/or usage of this software.

Copyright © European Centre for Disease Prevention and Control, 2021. 

Suggested citation

ECDC HIV Platform tool [software application]. Version 3.1.5. Stockholm: European Centre for Disease Prevention and Control; 2021.  

Suggested literature

Rosinska Magdalena, Pantazis Nikos, Janiec Janusz, Pharris Anastasia, Amato-Gauci Andrew J, Quinten Chantal, ECDC HIV/AIDS Surveillance Network. Potential adjustment methodology for missing data and reporting delay in the HIV Surveillance System, European Union/European Economic Area, 2015. EuroSurveillance 2018; 23(23).

van Sighem A, Nakagawa F, De Angelis D, Quinten C, Bezemer D, de Coul EO, Egger M, de Wolf F, Fraser C, Phillips A. Estimating HIV Incidence, Time to Diagnosis, and the Undiagnosed HIV Epidemic Using Routine Surveillance Data. Epidemiology. 2015 Sep;26(5):653-60. doi: 10.1097/EDE.0000000000000324. PMID: 26214334; PMCID: PMC4521901.

Examples of application:

Whittaker R. Using linked national registry data and the ECDC HIV modelling tool to estimate HIV incidence and the proportion diagnosed in Norway up to 2023. BMC Infectious Diseases. 2025 Sep 23;25(1):1115.

AMsterdam TH, van Sighem A, Hendriks S, Deug F, Zantkuijl P, van Bergen JE, de Wit J, Heijne J, Hoornenborg E, van Benthem T, van der Loeff MF. A 95% decline in estimated newly acquired HIV infections, Amsterdam, 2010 to 2022. Eurosurveillance. 2023 Oct 5;28(40):2300515.

McDonald S, Steedman N, Estcourt C, Yeung A, Hutchinson S. Progress towards Scotland’s HIV transmission elimination targets: model-based estimation of incidence and the extent of undiagnosed infection, 1981-2022. Eurosurveillance. 2025 Jun 13.

Whittaker R, Case KK, Nilsen Ø, Blystad H, Cowan S, Kløvstad H, van Sighem A. Monitoring progress towards the first UNAIDS 90-90-90 target in key populations living with HIV in Norway. BMC Infect Dis. 2020 Jun 26;20(1):451. doi: 10.1186/s12879-020-05178-1. PMID: 32590964; PMCID: PMC7318482.

Andersson E, Nakagawa F, van Sighem A, Axelsson M, Phillips AN, Sönnerborg A, Albert J. Challenges in modelling the proportion of undiagnosed HIV infections in Sweden. Euro Surveill. 2019 Apr;24(14):1800203. doi: 10.2807/1560-7917.ES.2019.24.14.1800203. PMID: 30968824; PMCID: PMC6462786.

van Sighem A, Pharris A, Quinten C, Noori T, Amato-Gauci AJ; The Ecdc HIv/Aids Surveillance And Dublin Declaration Monitoring Networks. Reduction in undiagnosed HIV infection in the European Union/European Economic Area, 2012 to 2016. Euro Surveill. 2017 Nov;22(48):17-00771. doi: 10.2807/1560-7917.ES.2017.22.48.17-00771. PMID: 29208159; PMCID: PMC5725787.

Pharris A, Quinten C, Noori T, Amato-Gauci AJ, van Sighem A; ECDC HIV/AIDS Surveillance and Dublin Declaration Monitoring Networks. Estimating HIV incidence and number of undiagnosed individuals living with HIV in the European Union/European Economic Area, 2015. Euro Surveill. 2016 Dec 1;21(48):30417. doi: 10.2807/1560-7917.ES.2016.21.48.30417. PMID: 27934585; PMCID: PMC5388115.

Nacher M, Adriouch L, Huber F, Vantilcke V, Djossou F, Elenga N, Adenis A, Couppié P. Modeling of the HIV epidemic and continuum of care in French Guiana. PLoS One. 2018 May 24;13(5):e0197990. doi: 10.1371/journal.pone.0197990. PMID: 29795698; PMCID: PMC5967714.

Reyes-Urueña JM, Campbell CNJ, Vives N, Esteve A, Ambrosioni J, Tural C, Ferrer E, Navarro G, Force L, García I, Masabeu À, Vilaró JM, García de Olalla P, Caylà JA, Miró JM, Casabona J; PISCIS investigators. Estimating the HIV undiagnosed population in Catalonia, Spain: descriptive and comparative data analysis to identify differences in MSM stratified by migrant and Spanish-born population. BMJ Open. 2018 Feb 28;8(2):e018533. doi: 10.1136/bmjopen-2017-018533. PMID: 29490955; PMCID: PMC5855442.

Support

For technical support and reporting problems please contact: HIV [dot] Modellingatecdc [dot] europa [dot] eu (HIV[dot]Modelling[at]ecdc[dot]europa[dot]eu)