Acácio W F Andrade1, Carlos D F Souza2, Rodrigo F Carmo1,3. 1. Pós-Graduação em Ciências da Saúde e Biológicas, Universidade Federal do Vale do São Francisco, Av. José de Sá Maniçoba, s/n, Centro, Petrolina-PE, 56304-917, Brazil. 2. Faculdade de Medicina, Universidade Federal de Alagoas Av. Manoel Severino Barbosa, Bom Sucesso, Arapiraca-AL, 57309-005, Brazil. 3. Pós-Graduação em Biociências, Universidade Federal do Vale do São Francisco Av. José de Sá Maniçoba, s/n, Centro, Petrolina-PE, 56304-917, Brazil.
Abstract
BACKGROUND: More than 95% of visceral leishmaniasis (VL) cases in Latin America occur in Brazil, most of them in the northeast. The objective of this study was to identify spatial clusters with the highest risks of VL and to analyse the temporal behaviour of the incidence and the effects of social vulnerability on the disease transmission dynamic in northeastern Brazil. METHODS: All confirmed cases registered as residents in the state of Pernambuco during the period from 2007 to 2017 were analysed. The local empirical Bayesian method was applied and the association -between the VL incidence rate and municipal social vulnerability was tested via classic multivariate regression. RESULTS: A total of 1186 new cases were registered during the study period. Spatial analysis showed heterogeneous distribution, with the highest rates observed in the São Francisco and Sertão mesoregions. Moreover, the main factors associated with VL were urban infrastructure, income and work. CONCLUSIONS: It was observed that spatial and temporal techniques are important tools for defining risk areas for VL, in conjunction with the evaluation of indexes of social vulnerability, which was shown to be an important factor for comprehending associations with VL in the state of Pernambuco.
BACKGROUND: More than 95% of visceral leishmaniasis (VL) cases in Latin America occur in Brazil, most of them in the northeast. The objective of this study was to identify spatial clusters with the highest risks of VL and to analyse the temporal behaviour of the incidence and the effects of social vulnerability on the disease transmission dynamic in northeastern Brazil. METHODS: All confirmed cases registered as residents in the state of Pernambuco during the period from 2007 to 2017 were analysed. The local empirical Bayesian method was applied and the association -between the VL incidence rate and municipal social vulnerability was tested via classic multivariate regression. RESULTS: A total of 1186 new cases were registered during the study period. Spatial analysis showed heterogeneous distribution, with the highest rates observed in the São Francisco and Sertão mesoregions. Moreover, the main factors associated with VL were urban infrastructure, income and work. CONCLUSIONS: It was observed that spatial and temporal techniques are important tools for defining risk areas for VL, in conjunction with the evaluation of indexes of social vulnerability, which was shown to be an important factor for comprehending associations with VL in the state of Pernambuco.
Authors: 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 Journal: Parasitol Res Date: 2022-02-10 Impact factor: 2.289