Download this Paper Open PDF in Browser

UNAIDS’ Modes of Transmission Model Misinforms HIV Prevention Efforts in Africa's Generalized Epidemics

11 Pages Posted: 26 Aug 2013 Last revised: 23 Dec 2015

David Gisselquist

Independent

Date Written: December 22, 2015

Abstract

The Joint United Nations Programme on AIDS (UNAIDS) encourages governments to use the Modes of Transmission (MOT) model to estimate numbers of infections from various risks and thereby to guide HIV prevention efforts. A simple design error in the model – ignoring frequent sero-concordance among spouses – hugely inflates estimates of infections from spouses. Applications of the model to Uganda and Swaziland illustrate the impact of this error. For Uganda, using survey-based data on sero-discordance in couples cuts estimated annual spouse-to-spouse transmission from 60,948 to 30,000; with this change, the revised MOT model – considering infections from all risks – estimates only 51% of incidence needed to explain Uganda’s epidemic trajectory. For Swaziland, using data on sero-discordance in couples cuts annual spouse-to-spouse HIV transmission from 9,166 to 3,900, and the revised model estimates only 47% of infections needed to explain Swaziland’s epidemic trajectory. This error has similar impacts on MOT estimates for other African countries.

Several design errors in the MOT model can be fixed. However, even with a revised design, the model’s dependence on unreliable data (numbers of risk events) and parameters (transmission per event) leads to unreliable estimates. To guide HIV prevention efforts, more reliable information about modes of transmission is and can be available from prospective studies of risks for incident infections and investigations that trace infections.

Keywords: HIV, AIDS, model, Africa, Uganda, Swaziland

JEL Classification: I10

Suggested Citation

Gisselquist, David, UNAIDS’ Modes of Transmission Model Misinforms HIV Prevention Efforts in Africa's Generalized Epidemics (December 22, 2015). Available at SSRN: https://ssrn.com/abstract=2315554 or http://dx.doi.org/10.2139/ssrn.2315554

Paper statistics

Downloads
85
Rank
249,484
Abstract Views
610