Space-time risk cluster of visceral leishmaniasis in Brazilian endemic region with high social vulnerability: An ecological time series study
DATE:
2021-01-19
UNIVERSAL IDENTIFIER: http://hdl.handle.net/11093/4004
EDITED VERSION: https://dx.plos.org/10.1371/journal.pntd.0009006
DOCUMENT TYPE: article
ABSTRACT
Background
Despite visceral leishmaniasis (VL) being epidemic in most Brazilian regions, the Northeast
region is responsible for the highest morbidity and mortality outcomes within the country.
Objective
To analyse the spatiotemporal dynamics of VL cases to identify the temporal trends and
high-risk areas for VL transmission, as well as the association of the disease with social vulnerability in Brazilian Northeast.
Methods
We carried out an ecological time series study employing spatial analysis techniques using all
VL confirmed cases of 1,794 municipalities of Brazilian Northeast between the years 2000 to
2017. The Social Vulnerability Index (SVI) was used to represent the social vulnerability. Incidence rates were standardized and smoothed by the Local Empirical Bayesian Method. Time
trends were examined through segmented linear regression. Spatiotemporal analysis consisted of uni- and bivariate Global and Local Moran indexes and space-time scan statistics.
Results
Incidence rate remained stable and ranged from 4.84 to 3.52 cases/100,000 inhabitants.
There was higher case prevalence between males (62.71%), children and adolescents
(63.27%), non-white (69.75%) and urban residents (62.58%). Increasing trends of new cases
were observed among adult male subjects (> 40 years old) and urban residents. Importantly,
VL incidence showed a direct spatial dependence. Spatial and space-time clusters were identified in sertão and meio-norte sub-regions, overlapping with high social vulnerability areas.
Conclusions
VL is a persistent health issue in Brazilian Northeast and associated with social vulnerability.
Space-time clustering of VL cases in socially vulnerable municipalities demands intersectoral public policies of surveillance and control, with focus on reducing inequalities and
improving living conditions for regional inhabitants