Fig 1.
Brazil regions and classification of gross domestic product by municipality.
Source for base layer: Instituto Brasileiro de Geografia e Estatística [17].
Table 1.
Data source and selected variables for the analysis.
Table 2.
List of sociodemographic variables used in PCA analysis to create new indicators for spatial analysis.
Table 3.
Descriptive characteristics of snakebite envenomation by region in Brazil from 2014–2019.
Fig 2.
SBE (A) and moderate and severe events (B) by 100,000 inhabitants. Source for base layer: Instituto Brasileiro de Geografia e Estatística [17].
Fig 3.
A) Local Indicator of Spatial Autocorrelation (LISA) showing clusters regarding moderate and severe rates of snakebite envenoming. B) Getis Ord G scores presenting the location of hotspots based on rates of moderate and severe cases. Source for base layer: Instituto Brasileiro de Geografia e Estatística [17].
Fig 4.
Location and distribution of antivenom health facilities.
Source for base layer: Instituto Brasileiro de Geografia e Estatística [17].
Fig 5.
Panels A represents the number and percentage of health facilities with antivenom in Brazil, and panels B, C, D, E, and F represent the regions North, Northeast, Midwest, Southeast, and South respectively.
Fig 6.
A) Percentage of cases that antivenom was used. B) Percentage of cases that took more than 3 hours to reach a health facility to care. C) Availability of ICU beds in health facilities supplied with antivenom per 100,000 population. Source for base layer: Instituto Brasileiro de Geografia e Estatística [17].
Fig 7.
Distribution of snakebite accidents in each region and by genre/family.
Table 4.
Performance comparison between Generalized Linear Models using Poisson regression and Geographically Weighted Poisson Regression.
Fig 8.
Association of various sociodemographic and access to care indicators with moderate or severe outcomes after SBE.
Left) Magnitude of association in exponential values. Right) Statistical significance of association according to T-values. Source for base layer: Instituto Brasileiro de Geografia e Estatística [17].