Losses In Brazil Research Articles (Page 2)

Sampling plan for socioeconomic development indicators in Brazil: practical implications when considering precision and cost

Brazilian beekeepers have experienced massive colony losses in recent years. Possible causes include bee pests and diseases, although there have been few relevant studies in the country and no official data are available. The aim of this work was to assess, from a beekeeper's perspective, the incidence of pests and diseases in colonies, and their impact on the decline of bee populations in Brazil. The research used two online questionnaires that included disease symptoms to facilitate participant identification of diseases. A total of 674 valid responses were obtained from beekeepers of Apis mellifera (49% of the total) and stingless bees (51%), distributed among 24 of the 27 Brazilian states. Most beekeepers observed pests (average 78.1%) and disease symptoms (65.5%) in their colonies. Based on beekeepers' responses, pests and diseases affect beehive losses in Brazil. Colony loss percentage for A. mellifera was higher in apiaries with ants (19.8% of colony losses) and wasps (46.7%) than in those without pests (p < 0.001). While for stingless bees, meliponaries with robber bees (15.8% of colony losses), ants (14.7%), and phorid flies (12.5%) had higher colony losses than those without pests (p < 0.001). Apiaries and meliponaries with worker bee deaths had higher losses than those without symptoms. The results also indicate that monitoring can reduce colony losses in apiaries and meliponaries that have some kind of pests and diseases. Using a beekeeper perspective, this study provides information about the impact that pests and pathogens have on bee losses that can be used to guide improved management practices.

Non-technical losses directly affect the electricity distribution system's quality and create significant economic problems in developing countries. There has been an advance in Brazil's regulations to combat this kind of loss in the last 15 years. However, the electricity consumed and not billed is still high, impacting the electricity tariff and distributors' investment capacity and creating difficulties in developing public policies to mitigate the problem. Thus, this article seeks to present the panorama of non-technical losses in Brazil and propose legislative, regulatory, business, and academic directions. For this, 28 semi-structured interviews were carried out with specialists, resulting in identifying the main challenges for identifying and mitigating non-technical losses in Brazil and the factors that help overcome this problem. The results demonstrate that coordinated strategic actions among all stakeholders need to be developed to combat non-technical losses. The cultural change in acceptance of electricity theft needs to be one of the country's main focuses. The main contribution is to disseminate information to regulatory and legislative authorities, government, concessionaires, and researchers to develop practical actions for mitigating non-technical losses in Brazil.

ABSTRACT: It is reported the occurrence of enzootic hematuria (EH) in buffaloes in Brazil after performing an epidemiological survey and clinicopathological analises. To date, EH caused by ingestion of Pteridium esculentum subsp. arachnoideum, a radiomimetic plant popularly known as “bracken fern”, has not been described in this species in Brazil. Bovine EH is responsible for high economic losses in Brazil’s Southeast Region not only because of the deaths it causes, but also owing to its negative effect on productivity. In São José do Barreiro County, São Paulo, some farmers in areas with a high incidence of bovine EH have been replacing cattle with buffaloes, based on the premise that the latter would be more resistant to poisoning by ingestion of Pteridium spp. However, even though initial observations indicated that buffaloes are indeed less sensitive than cattle to the toxic principle of Pteridium spp., cases of hematuria in this species have been reported. According to preliminary date, EH only occurs in buffaloes over six years of age. Macroscopic examination revealed a thickened urinary vesicle mucosa, along with multiple foci of ulcerated, exophytic, verrucous, and pedunculated lesions. In one of the buffaloes studied, the bladder wall was ruptured and exhibited marked secondary inflammation. Histologically, neoplastic and non-neoplastic changes similar to those described in cattle poisoned by Pteridium spp. were observed. The neoplasms found included papilloma, carcinoma in situ, urothelial carcinoma (low and high grade), inverted, microcystic, and trabecular variants, urothelial carcinoma with divergent differentiation (squamous and glandular), squamous cell carcinoma, lymphangioma, hemangioma, and hemangiosarcoma. There was also coexistence of epithelial and mesenchymal neoplasms. Bovine papillomavirus particles were not detected by polymerase chain reaction in the bladder samples analyzed.

ABSTRACT Purpose: to identify criteria used nationally and internationally to classify degrees of hearing loss, compare them with what is established in the Brazilian law, and discuss possible consequences of such a law on the social protection of people with hearing loss. Methods: a narrative review was conducted to identify the criteria used in this classification, by searching the platforms VHL and PubMed in April 2020. It included primary human research explicitly mentioning the criteria used to classify the degree of hearing loss, published between 2015 and 2019 in English, Spanish, and Portuguese. Literature Review: there is a preference for the four-frequency mean at 0.5, 1, 2, and 4 kHz. The Brazilian law does not follow these criteria, which may pose a barrier to people with hearing loss, hindering their access to social protection programs. Final Considerations: there is no consensus on the best criteria, although the most encompassing ones in hearing assessment predominate - which are not the ones legally used in Brazil. It is necessary to debate the Brazilian legal criteria to ensure existing social rights to part of people with hearing loss in Brazil.

ABSTRACT Purpose To describe the notifications of NIHL in Brazil, according to sociodemographic and labor aspects, in the period from 2006 to 2019. Methods Cross-sectional and descriptive study carried out with data from notification forms for noise-induced hearing loss in Brazil, from SINAN. The data were accessed through the page of the Collaborating Center for Surveillance of Workers’ Health Disorders (ISC-UFBA). Absolute and relative frequencies of sociodemographic variables and work characteristics were analyzed. Results During the period, 7,819 cases of NIHL were reported in Brazil. The year 2016 and the state of São Paulo registered the highest number of notifications, with 1,106 and 2,488 cases, respectively. Throughout the period, there was a higher proportion of cases in: individuals with a formal contract (55.0%), male (88.2%), white (59.1%) and aged between 50 and 59 years (33.7%). Continuous noise was predominant in the work environment (41.1%) and 51.1% of the individuals used individual protection measures, while 12.6% were protected collectively. Conclusion A total of 7,819 cases of NIHL were reported in Brazil in the period analyzed, a number that can be considered disproportionate in relation to the prevalence of this condition. The observed underreporting impacts on the understanding of the magnitude of the problem, and, consequently, on the development and implementation of public health actions and programs, aimed at worker health and safety.

Geomorphic analyses of two recent debris flows in Brazil

A research was conducted to assess honey bee colony losses in Brazil, including their likely causes. Beekeepers responded to two complete annual questionnaires (n=268 in 2018 and n=254 in 2019). There was a total of 175,003 hives of Africanized honey bees (Apis mellifera Linnaeus), (µ=335 hives per beekeeper, min=9 and Max=3,600), of which 27.2% were lost. A Generalized Linear Model (GLM) for total loss (TL) and a Wald method for average loss (AL) were used to estimate 95% confidence intervals (CI) for loss rates based on year: 2018, TL=30.5%, CI (28.5-32.4), AL=39.5, CI (37.0-41.9); and 2019, TL=23.8%, CI (22.5-25.2), AL=31.3%, CI (29.5-33.1). Pesticides were speculated to be the leading cause of colony losses (47.3%), followed by climate (drought, flood, rain: 11.6%), malnutrition (lack of flowering, lack of energy and/or protein source, wrong nutrition: 9.7%), absconding (10.2%), mismanagement (wrong migratory activity, migration to mangrove, beekeeper’s personal problems: 7.9%), predators (3.9%), queen problems (2.8%), and varroa (1.6%). Other parasites, theft, toxic pollen (Brazilian sacbrood) and bushfires accounted for the remaining 5% of losses. Due to tropical temperatures, there is no substantial winter loss. In contrast, the highest incidence of losses occurred from September to January, coinciding with the intense agricultural activity. In summary, according to participants, there were significantly higher losses in 2018 compared to 2019, with pesticides alleged to be the main cause of honey bee colony losses in Brazil. However, beekeepers usually multiply colonies during the following season, sustaining pollination and honey production, thereby supporting agricultural activity.

In this study, it is proposed a new approach for the regulatory evaluation of non-technical losses in power distribution networks. This more realistic approach can benefit the utility in terms of planning, maintenance, and a more modest tariff, since the result of the power flow simulation will show a more realistic overview of the losses. The proposed approach uses inspections&apos; datasets and Kriging method to geographically estimate the location of the non-technical losses in network of the utility. As a result, the simulation of the power flow according to the current regulatory practice and the new proposed approach are analyzed using a real inspections&apos; dataset from a real Brazilian power distribution network.

Background: Although agri-food supply chains have become fundamental for food security throughout the world, some are associated with negative environmental and socioeconomic impacts. This study explores the possibilities of transforming the governance in Brazil’s soybean supply chain based on stakeholders’ accountability. Methods: We used secondary data from companies’ reports and statistical yearbooks to identify key stakeholders in the soybean supply chain as well as to explore trade-offs between reducing farming expansion into new agricultural frontiers and increasing investments in agro-industrial sectors. Results: The results reveal that at the global level, multinational corporations along with domestic groups should be held accountable for improving the governance of the soybean supply chain in Brazil since foreign multinationals control 65.4% of it. At the domestic level, losses in Brazil’s farming sector can either be offset by an 11% or 5.2% market share increase in the trading segment or in the whole supply chain, respectively, since Brazilian groups control 93.4% of the farming sector but only 7.1% of the agro-industrial sectors. Conclusions: Global accountability and domestic trade-offs are fundamental for transforming governance in global agri-food supply chains. They serve as a means for overcoming the current strategy of expansion into new farming frontiers.

Estimating the potential for nutrition and energy production derived from maize (Zea mays L.) and rice (Oryza sativa L.) losses in Brazil

The collapse of mangrove litterfall production following a climate-related forest loss in Brazil

Land and water footprints associated with rice and maize losses in Brazil

A literature review of genetic studies on 3134 endangered or data deficient Brazilian plant species was performed using the Periodical Capes database, using, for each species, a combination of the binomial (without authorship) and the radical genet*. The search was only for articles, without publication year limitation. The search included relevant synonyms, based on information obtained from the National Flora Conservation Center (CNC Flora) website. Phylogenetic studies focusing on taxonomy or studies focusing on gene expression were excluded. A total of 14 463 articles were retrieved with this search strategy, but only 312 fit within the scope of the search. Results show that genetic studies for plants of all threat categories are lacking, with a very low average (0,09%) of genetic studies retrieved per species. The four threatened species with a higher number of studies are species of commercial interest. For 1931 species no article was retrieved. Given the high levels of biodiversity loss in Brazil, it is urgent to invest in the knowledge of the biology of threatened plant species, especially those which are the most neglected in genetic studies.

The El Niño Southern Oscillation (ENSO) is an oceanic-atmospheric phenomenon influencing worldwide weather and climate. Its occurrence is determined by the sea surface temperature (SST) anomaly of the 3.4 Niño region in the Pacific Ocean (5°N-5°S, 120°-170°W). El Niño (EN), Neutral (NT), and La Niña (LN) are the three possible phases of ENSO, respectively, for warm, normal, and cold SST anomaly. As in other regions around the world, weather in Brazil is influenced by ENSO phases. The country is the major coffee producer in the world, and production is strongly influenced by weather conditions, which affect plant yield, harvest quality, and interactions with pests and diseases. Coffee leaf rust (CLR), caused by the fungus Hemileia vastatrix, is a major cause of coffee yield and quality losses in Brazil, and requires fungicide spray applications every season. Because CLR is highly influenced by weather conditions, it is possible to use weather variables to simulate its progress during the cropping cycle. Therefore, the aims of this study were to estimate CLR infection rate based on a validated empirical model, which has daily minimum air temperature and relative humidity as inputs, and to assess the extent of ENSO influence on the annual risk of this disease at 45 sites in Brazil. Cumulative infection rates (CIR) were estimated daily from October to June of each growing season and location, based on the prevailing ENSO phase. Differences between the extreme phases (EN-LN) were assessed by the Two-One-Sided-Tests (TOST) method. Analysis of data from eight sites, located mainly in Paraná State, provided evidence of CIR differences between EN and LN phases (G1). Evidence of no difference of CIR between EN and LN was found in 18 sites (G2), whereas 19 sites showed no evidence of differences (G3) due to relatively large variation of CIR within the same ENSO phase. The G1 sites are located mostly in Southern Brazil, where ENSO exerts a well-defined influence on rainfall regime. In contrast, the G2 sites are mainly in Minas Gerais State, which is characterized as a transition region for ENSO influence on rainfall. The G3 sites are located between the northern region of Minas Gerais State and southern region of Bahia State, which is characterized by a subhumid climate that is usually very dry during winter, and where rainfall can vary up to 300% from one year to another, influencing relative humidity and resulting in a high CIR variability. Therefore, ENSO had a well-defined influence on CIR only in Paraná State, a region with minor importance for coffee production in Brazil. No ENSO influence was found in more northerly zones where the majority of Brazilian coffee is produced. This is the first evidence of ENSO-linked regional impact on the risk of coffee rust.

Forest cover loss in the tropics is well known to cause warming at deforested sites, with maximum temperatures being particularly sensitive. Forest loss causes warming by altering local energy balance and surface roughness, local changes that can propagate across a wide range of spatial scales. Consequently, temperature increases result from not only changes in forest cover at a site, but also by the aggregate effects of non-local forest loss. We explored such non-local warming within Brazil’s Amazon and Cerrado biomes, the region with the world’s single largest amount of forest loss since 2000. Two datasets, one consisting of in-situ air temperature observations and a second, larger dataset consisting of ATs derived from remotely-sensed observations of land surface temperature, were used to quantify changes in maximum temperature due to forest cover loss at varying length-scales. We considered undisturbed forest locations (1 km2 in extent), and forest loss trends in annuli (‘halos’), located 1–2 km, 2–4 km, 4–10 km and 10–50 km from these undisturbed sites. Our research finds significant and substantial non-local warming, suggesting that historical estimates of warming due to forest cover loss under-estimate warming or mis-attribute warming to local change, where non-local changes also influence the pattern of temperature warming.

Brazil leads global lists of honeybee colony losses in South America as well as pesticide use, according to a web-based survey (http://www.nobeenofood.com/beealert). In association with that survey, Africanized honeybee (Apis mellifera) samples were opportunistically collected when bee poisoning was apparently linked to pesticide use in crops. The objective was to determine concentrations of fipronil and neonicotinoids in live and dead honeybees, in areas where these compounds are widely used in agriculture. Pesticide residues in honeybees (54 live and 60 dead composite samples) were detected with mass spectrometry (UHPLC-MS/MS using QuEChERS methodology). Toxicological analyses in both matrices detected multiple contaminations with highest indices by fipronil with frequency of 55.3% and amplitude (0.7–23,539.7 ng/g), thiamethoxam 20.2% (0.6–13.6 ng/g), imidacloprid 3.5% (4.5–16.2 ng/g), nitenpyram 1.8% (3.8–7.4 ng/g), and thiacloprid 0.9% (1.6 ng/g). Neonicotinoids and fipronil residues had higher frequencies and amplitudes in honeybees collected near sugarcane plantations and orange orchards in northwest Sao Paulo state and other agro-industrial rural landscapes across the country dominated with fields of soybean, corn, and tropical fruit crops. These systemic pesticides were presumed to be primary mechanisms of honeybee colony losses in Brazil, according to a recently published 5-year survey by the same authors and reinforced by current analyses.

Lives and Economic Loss in Brazil due to Lack of Radiotherapy Access in Cervical Cancer: A Cost-Effectiveness Analysis

In 2014, an online survey was launched to assess impacts of bee losses in Brazil (honeybees, stingless bees, and solitary bees). Events from January 2013 to December 2017 were collected on a website http://www.semabelhasemalimento.com.br/beealert as well as in apps for smartphones and tablets. In total, 322 post-confirmed qualified reports (287 for honeybee, 33 for stingless bee, 2 for solitary bee) were included in our analyses. Overall, 19,296 of 37,453 colonies and nests were lost (estimated > 1 billion bees). Losses were highest for Africanized honeybees (Apis mellifera), followed by stingless bee Tetragonisca angustula. Honeybee 95% confidence intervals (CI) for loss rates on the basis of year, 5-year interval, regions, and operation sizes were estimated using a generalized linear model (GLM) for total loss (TL) and a Wald method for average losses (AL). Other species losses were mentioned in the text. Based on information from respondents, pesticide exposures were suspected as the main cause of nest and colony losses. In Sao Paulo State, which accounted for 45.7% of total reports, neonicotinoids and fipronil led pesticide are listed in 55.9% of reports (fipronil, clothianidin, imidacloprid, and thiamethoxam are widely used in sugar cane plantations and orange groves in this state).

Soil losses due to water erosion threaten the sustainability of agriculture and the food security of current and future generations. This study estimated potential soil losses and sediment production under different types of land uses in a subbasin in the Municipality of Alfenas, southern Minas Gerais, southeastern Brazil. The objective of this research was to evaluate the application of the Potential Erosion Method by the Intensity of Erosion and Drainage program and correlate the findings with the results obtained by the Revised Universal Soil Loss Equation as well as geoprocessing techniques and statistical analyses. In the Potential Erosion Method, the coefficient indicating the mean erosion intensity was 0.37, which corresponded to erosion category IV and indicated weak laminar erosion processes, and the total soil loss was 649.31 Mg year-1 and the mean was 1.46 Mg ha-1 year-1. These results were consistent in magnitude with those obtained in the Revised Universal Soil Loss Equation, which estimated a mean soil loss of 1.52 Mg ha-1 year-1 and a total soil loss of 668.26 Mg year-1. The Potential Erosion Method suggests that 1.5% of the area presents potential soil losses above the soil loss tolerance limit, which ranged from 5.19 to 5.90 Mg ha-1 year-1, while the Revised Universal Soil Loss Equation indicated that 7.3% of the area has potential soil losses above the limit. The maximum sediment discharge was 60 Mg year-1, meaning that 9.3% of the total soil loss reached the depositional areas of the river plains or watercourses. The Potential Erosion Method was efficient in the evaluation of water erosion in tropical soils, and the results were consistent with models widely employed in the estimation of soil losses. Thus, the model can support the evaluation of soil losses in Brazil and is a robust tool for evaluating the sustainability of agricultural activities.