Associação entre brucelose e ocorrência de abortamentos em bovinos do estado do Espírito Santo – nota prévia

Foi conduzido um estudo para verificar a possível associação entre ocorrência de abortamentos e soroprevalência de brucelose bovina no Estado do Espírito Santo. Foram analisados 5.201 soros de fêmeas bovinas com idade igual ou superior a 24 meses, provenientes de 571 propriedades, sorteadas dentro de duas regiões do Estado (região 1, norte do Estado; região 2, sul do Estado). Para o diagnóstico sorológico da brucelose bovina, foi utilizado o teste do Antígeno Acidificado Tamponado (AAT) como prova de triagem e o teste do 2-mercaptoetanol como prova confirmatória. Uma propriedade foi considerada foco quando apresentou pelo menos um animal soropositivo. Nas duas regiões e no Estado todo, a prevalência de brucelose foi significativamente maior nas propriedades que relataram a ocorrência de abortamentos e nos animais com histórico de abortamentos (P &lt; 0,05), indicando que a Brucella abortus pode ser uma causa importante de abortamentos no Estado do Espírito Santo.A survey to investigate the possible association between the occurrence of abortion and seroprevalence of bovine brucellosis in the State of Espírito Santo, Southeast region of Brazil, was carried out. A total of 5,201 sera from cows &gt; 24 months-old from 571 herds, drawn in two regions of the state (region 1, north of the state, region 2, south of the state), were analyzed. For serological diagnosis of bovine brucellosis the Rose Bengal Test (RBT) was applied as a screening test and the 2-mercaptoethanol test as a confirmatory test. A herd was considered focus when presented at least one seropositive animal. In both regions and in the State, prevalence of brucellosis was significantly higher in herds that have reported the occurrence of abortions and in animals with a history of abortions (P < 0.05), indicating that Brucella abortus may be an important cause of abortions in the State of Espírito Santo

Epidemiological situation of bovine brucellosis in the State of Espírito Santo, Brazil

Realizou-se um estudo para caracterizar a situação epidemiológica da brucelose bovina no Estado do Espírito Santo. O Estado foi dividido em dois circuitos produtores. Em cada circuito foram amostradas aleatoriamente cerca de 300 propriedades e, dentro dessas, foi escolhido de forma aleatória um número pré-estabelecido de animais, dos quais foi obtida uma amostra de sangue. No total, foram amostrados 5.351 animais, provenientes de 622 propriedades. Em cada propriedade amostrada foi aplicado um questionário epidemiológico para verificar o tipo de exploração e as práticas de criação e sanitárias que poderiam estar associadas ao risco de infecção pela doença. O protocolo de testes utilizado foi o da triagem com o teste do antígeno acidificado tamponado e o reteste dos positivos com o teste do 2-mercaptoetanol. O rebanho foi considerado positivo quando pelo menos um animal foi reagente às duas provas sorológicas. Para o Estado, as prevalências de focos e de animais infectados foram, respectivamente, de 9,0% [7,0-11,6%] e 3,5% [1,9-6,4%]. Para os circuitos, as prevalências de focos e de animais infectados foram, respectivamente, de: circuito 1, 6,8% [4,5-10,2%] e 3,4% [1,3-8,6%]; circuito 2, 10,9% [7,9%-14,8%] e 3,7% [2,1-6,3%]. Os fatores de risco (odds ratio, OR) associados à condição de foco foram: utilização de inseminação artificial (OR = 7,05 [2,51-19,82]) e confinamento/semiconfinamento dos animais (OR = 2,98 [1,22-7,26]). A vacinação de fêmeas entre três e oito meses de idade foi um fator protetor (OR = 0,03 [0,01-0,1]). _____________________________________________________________________________________________________________ ABXTRACTA study to characterize the epidemiological status of brucellosis was carried out in the State of Espírito Santo. The State was divided in two regions. Three hundred herds were randomly sampled in each region and a pre-established number of animals were sampled in each of these herds. A total of 5,351 serum samples from 622 herds were collected. In each herd, it was applied an epidemiological questionnaire focused on herd traits as well as husbandry and sanitary practices that could be associated with the risk of infection. The serum samples were screened for antibodies against Brucella spp. by the Rose-Bengal Test (RBT), and all positive sera were re-tested by the 2-mercaptoethanol test (2-ME). The herd was considered positive if at least one animal was positive on both RBT and 2-ME tests. The prevalence of infected herds and animals in the State were, respectively, 9.0% [7.0-11.6%] and 3.5% [1.9-6.4%]. The prevalence of infected herds and animals in the regions were, respectively: region 1, 6.8% [4.5-10.2%] and 3.4% [1.3-8.6%]; and region 2, 10.9% [7.9-14.8%] and 3.7% [2.1-6.3%]. The risk factors (odds ratio, OR) associated with the presence of the infection were: use of artificial insemination (OR = 7.05 [2.51-19.82]) and intensive/semi-intensive management systems (OR = 2.98 [1.22-7.26]). Vaccination of heifers from three to eight months of age was a protective factor (OR = 0.03 [0.01-0.1])

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost