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Fig 1.

Map of Brazil.

Source of base layer maps (states and municipality boundary): https://www.ibge.gov.br/geociencias/organizacao-do-territorio/malhas-territoriais/15774-malhas.html.

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Fig 1 Expand

Table 1.

Number of cases and deaths of scorpionism and their respective incidence rates (per 100,000 inhabitant-years), mortality rates (per 1,000,000 inhabitant-years), and lethality (%) according to sex and age group in Brazil between 2012 and 2024.

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Table 1 Expand

Table 2.

Number of cases and deaths of scorpionism and their respective standardized incidence rates (per 100,000 inhabitant-years), mortality rates (per 1,000,000 inhabitant-years), and lethality (%) according to region and sex in Brazil between 2012 and 2024.

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Table 2 Expand

Fig 2.

Map of the local empirical Bayesian rates (10,000 inhabitants-year) and number of scorpionism deaths in Brazil between 2012 and 2024.

Source of base layer maps (states and municipality boundary): https://www.ibge.gov.br/geociencias/organizacao-do-territorio/malhas-territoriais/15774-malhas.html.

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Fig 2 Expand

Fig 3.

Map of the purely spatial cluster of scorpionism in Brazil between 2012 and 2024.

Source of base layer maps (states and municipality boundary): https://www.ibge.gov.br/geociencias/organizacao-do-territorio/malhas-territoriais/15774-malhas.html.

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Fig 3 Expand

Fig 4.

Map of the space-time cluster of scorpionism in Brazil between 2012 and 2024.

Source of base layer maps (states and municipality boundary): https://www.ibge.gov.br/geociencias/organizacao-do-territorio/malhas-territoriais/15774-malhas.html.

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Fig 4 Expand

Fig 5.

Map of the spatial variation of temporal trend cluster of scorpionism in Brazil between 2012 and 2024.

Source of base layer maps (states and municipality boundary): https://www.ibge.gov.br/geociencias/organizacao-do-territorio/malhas-territoriais/15774-malhas.html.

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Fig 5 Expand

Fig 6.

Purely temporal scan for months (A) and seasonal scan (B) of scorpionism in Brazil between January 2012 and December 2024.

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Fig 6 Expand

Table 3.

Student’s t-test of sociodemographic, environmental and climatic variables of high- and low-risk spatial clusters in Brazil.

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Table 3 Expand