| Literature DB >> 35142927 |
Erica Santos Dos Reis1,2, Caíque Jordan Nunes Ribeiro3, Allan Dantas Dos Santos3, Damião da Conceição Araújo2, Márcio Bezerra-Santos1,2, Eliete Rodrigues da Silva4, Rogério Silva Santos5, Wandklebson Silva Paz6, Rosália Elen Santos Ramos6, Priscila Lima Dos Santos2, Michael Wheeler Lipscomb7, Karina Conceição Gomes M de Araújo2, Tatiana Rodrigues de Moura8,9.
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.Entities:
Keywords: Epidemiology; Neglected diseases; Spatial analysis; Spatial regression
Mesh:
Year: 2022 PMID: 35142927 DOI: 10.1007/s00436-022-07450-6
Source DB: PubMed Journal: Parasitol Res ISSN: 0932-0113 Impact factor: 2.289