Improving Social Determinants of Health Significantly Reduce AIDS Incidence: A Modeling Study of 1.17 Million Individuals in Brazil

12 Pages Posted: 23 Jan 2025

See all articles by Rodrigo Anderle

Rodrigo Anderle

Federal University of Bahia (UFBA) - Instituto Saúde Coletiva

Priscila Scaff Pinto

Federal University of Bahia (UFBA) - Institute of Collective Health

Felipe Alves Rubio

Federal University of Bahia (UFBA) - Institute of Collective Health

Ana Paula Santin Bertoni

Federal University of Bahia (UFBA) - Institute of Collective Health

José Alejandro Ordoñez

Federal University of Bahia (UFBA) - Institute of Collective Health

Iracema Lua

Federal University of Bahia (UFBA) - Institute of Collective Health

Gonzalo Barreix

University of Barcelona - Hospital Clinic

Megan Naidoo

University of Barcelona - Hospital Clinic

James Macinko

University of California, Los Angeles (UCLA) - Department of Community Health Sciences

Luis Eugenio de Souza

Federal University of Bahia (UFBA) - Institute of Collective Health

Inês Dourado

Federal University of Bahia (UFBA) - Institute of Collective Health

Davide Rasella

University of Barcelona - ISGlobal Hospital Clinic; Imperial College London; Federal University of Bahia (UFBA) - Institute of Collective Health

Date Written: September 30, 2024

Abstract

Despite progress in addressing HIV/AIDS, the burden remains uneven, especially in low- and middle-income countries (LMICs). Social determinants of health (SDH) significantly influence HIV/AIDS. We studied the impact of SDH inequalities on AIDS incidence in Brazil, a large and diverse LMIC. We used an agent-based model (ABM) to introduce the SDH inequalities of income, education, sex, and race in an HIV/AIDS model of 1,172,721 residents in ten Brazilian state capitals. We simulated the poorest half of the population using the CadastroÚnico database and calibrated our baseline models for each city with AIDS incidence from 2012 to 2019. We compared them with alternative scenario where the effect of inequalities in SDH was removed. The difference between scenarios and by sub-populations were measured in terms of cumulative rate-ratios (RR), and avoidable cases over the study period. If there was no inequality in income, education, sex, and race, there would be 38.8% lower AIDS incidence (95%CI: 33.0%- 44.4%) compared with the baseline scenario. Furthermore, AIDS incidence was lower among individuals with low-income (44.9%, 95%CI: 34.7%-61.0%), lower education (39.8%, 95%CI: 34.6%-46.5%), and people of Brown or Black race (39.3%, 95%CI: 33.5%-47.3%), in the alternative scenario compared with the baseline scenario. Furthermore, addressing inequality in the selected SDH had a positive spillover effect in reducing AIDS incidence in high-income (31.0%,95%CI: 23.3%-48.8%), high-educated (13.7%, 95%CI: 8.4%-27.8%), and White or Asian (35.4%, 95%CI: 27.5%-46.6%) populations, indicating a strong benefit to the whole of society. Our results suggest that addressing social inequalities in key SDH could reduce the number of AIDS cases among Brazil's poorest population by at least a third from 2012-2019. This effect is particularly significant in sub-populations with higher vulnerabilities. Implementing social protection policies to tackle these inequalities has the potential to help control the HIV/AIDS epidemic and advance the AIDS-related Social Development Goals (SDG).

JEL Classification: I15

Suggested Citation

Anderle, Rodrigo and Pinto, Priscila Scaff and Rubio, Felipe Alves and Bertoni, Ana Paula Santin and Ordoñez, José Alejandro and Lua, Iracema and Barreix, Gonzalo and Naidoo, Megan and Macinko, James and Souza, Luis Eugenio de and Dourado, Inês and Rasella, Davide, Improving Social Determinants of Health Significantly Reduce AIDS Incidence: A Modeling Study of 1.17 Million Individuals in Brazil (September 30, 2024). Available at SSRN: https://ssrn.com/abstract=5107617 or http://dx.doi.org/10.2139/ssrn.5107617

Rodrigo Anderle (Contact Author)

Federal University of Bahia (UFBA) - Instituto Saúde Coletiva ( email )

Rua Basílio da Gama, s/n
Salvador
Portugal

Priscila Scaff Pinto

Federal University of Bahia (UFBA) - Institute of Collective Health ( email )

Felipe Alves Rubio

Federal University of Bahia (UFBA) - Institute of Collective Health ( email )

Ana Paula Santin Bertoni

Federal University of Bahia (UFBA) - Institute of Collective Health ( email )

José Alejandro Ordoñez

Federal University of Bahia (UFBA) - Institute of Collective Health ( email )

Iracema Lua

Federal University of Bahia (UFBA) - Institute of Collective Health ( email )

Gonzalo Barreix

University of Barcelona - Hospital Clinic ( email )

Megan Naidoo

University of Barcelona - Hospital Clinic ( email )

James Macinko

University of California, Los Angeles (UCLA) - Department of Community Health Sciences ( email )

650 Charles E. Young Drive South, 36-071 CHS
Box 951772
Los Angeles, CA 90095-1772
United States

Luis Eugenio de Souza

Federal University of Bahia (UFBA) - Institute of Collective Health ( email )

Inês Dourado

Federal University of Bahia (UFBA) - Institute of Collective Health ( email )

Davide Rasella

University of Barcelona - ISGlobal Hospital Clinic ( email )

Barcelona
Spain

Imperial College London

South Kensington Campus
Exhibition Road
London, SW7 2AZ
United Kingdom

Federal University of Bahia (UFBA) - Institute of Collective Health ( email )

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