Brazilian spotted fever (BSF) is a highly lethal disease caused by Rickettsia spp. and is transmitted by ticks of the genus Amblyomma. Understanding the epidemiology of BSF in each region can help direct health surveillance actions. The objective of this study was to determine the spatial distribution of vectors and the incidence of BSF in the state of São Paulo. Spatial analysis included confirmed BSF cases between 2009 and 2019; occurrences were registered by municipalities of the state. There were 752 confirmed BSF cases, with incidences ranging between 0.01 and 10.37/10,000 inhabitants. Moran's Global Index for BSF was 0.20 (p = .001), which was indicative of spatial dependence. Moran's map located a cluster of 20 high priority municipalities for BSF and showed that Amblyomma sculptum is the vector involved in Rickettsia rickettsii transmission in these locations. Spatial analysis identified clusters formed by 47, 20 and seven significant municipalities for the presence of A. sculptum, Amblyomma aureolatum and Amblyomma ovale vectors, respectively. Surveillance and prevention actions are necessary in areas that are at high risk for BSF and in areas where the presence of vectors was significant.
Bovine brucellosis, a zoonotic disease endemic to Brazil, is a serious public health problem. It is a notifiable disease that, like tuberculosis, is regulated through a national control and eradication program. The epidemiological status of bovine brucellosis must be characterized in order to direct measures aimed at controlling the disease. This study focused on analyzing the spatial and temporal distribution of bovine brucellosis in Brazil. An ecological and time series study was conducted based on secondary data reported by the National Animal Health Information System for cases of bovine brucellosis diagnosed in Brazil (2014 - 2018). The gross and average incidence rate of brucellosis was estimated per state. Joinpoint regression was applied to calculate the annual percentage change (APC) in incidence and to identify states with significant trend changes. Spatial analysis of animals with brucellosis was performed using Kernel density estimation. A total of 19,631 animals with bovine brucellosis were confirmed, and the average incidence rate varied from 0.03 to 33.93/100,000 cattle in Brazil. The highest density of positive animals was found in the states of Santa Catarina and Paraná, which can be considered areas of greater transmission of Brucella abortus. Reductions in gross incidence rates were observed in Paraná (APC: -13.2; 95% confidence interval [CI]: -20.3 – -5.4; p=0.01), Rondônia (APC: -44.7; 95%CI: -62.0 - -19.4; p=0.01), Mato Grosso do Sul (APC: -59.0; 95%CI: -77.7 - -24.5; p=0.01), Acre (APC: -40.0; 95%CI: -50.0 - -28.0; p=0.00), and Ceará (APC: -37.9; 95%CI: -50.9 - -21.4; p=0.00). The incidence rate significantly increased in Tocantins (APC: 122.1; 95%CI: 4.5 - 372.2; p=0.04). The findings of this study will be helpful in guiding surveillance and prevention measures aimed at reducing the incidence of bovine brucellosis in Brazil.
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