Magnitude of visceral leishmaniasis and HIV coinfection and association with social determinants of health in the Northeast region of Brazil: a retrospective, spatiotemporal model (2010–2018)

Erica Santos dos Reis, Caíque Jordan Nunes Ribeiro, Allan Dantas dos Santos, Damião da Conceição Araújo, Márcio Bezerra-Santos, Eliete Rodrigues da Silva, Rogério Silva Santos, Wandklebson Silva Paz, Rosália Elen Santos Ramos, Priscila Lima dos Santos, Michael Wheeler Lipscomb, Karina Conceição Gomes M. de Araújo, Tatiana Rodrigues de Moura

Research output: Contribution to journalArticlepeer-review

Abstract

The Northeast region of Brazil (NRB) includes the states with the highest prevalence of visceral leishmaniasis (VL), as well as those with significant increases in HIV cases. This study aims to analyze the spatiotemporal patterns of VL-HIV coinfection and its association with the social determinants of health (SDH) in the NRB. Time trend analysis and Bayesian spatial statistical inferences, Moran’s autocorrelation, and retrospective space–time scanning were performed. Spatial regression modelling was used to build an explanatory model for the occurrence of VL-HIV coinfection within NRB. A total of 1550 cases of VL-HIV coinfection were confirmed. We observed a higher prevalence among males (1232; 83%), individuals aged from 20 to 59 years (850; 54.8%), non-white skin color (1,422; 91.7%), and with low education (550; 35.48%). NRB showed an increasing and significant trend in the detection rate of coinfection (APC, 5.3; 95% CI, 1.4 to 9.4). The states of Maranhão and Piauí comprised the high-risk cluster. The SDH that most correlated with the occurrence of coinfection were poor housing, low income, and low education. VL-HIV is dispersed in the NRB but chiefly affects states with greater social vulnerability. Taken together, these findings reinforce the necessity to implement surveillance strategies that will contribute to the reduction of cases in these populations.

Original languageEnglish (US)
Pages (from-to)1021-1031
Number of pages11
JournalParasitology Research
Volume121
Issue number3
DOIs
StatePublished - Mar 2022
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported by the Fundação de Apoio a Pesquisa e à Inovação Tecnológica do Estado de Sergipe (FAPITC/SE) (EDITAL FAPITEC/SE/FUNTEC/CAPES N° 07/2018). The funding helped in the conception of the study and collection and analysis of the data.

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

  • Epidemiology
  • Neglected diseases
  • Spatial analysis
  • Spatial regression

PubMed: MeSH publication types

  • Journal Article

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