The coronavirus disease , caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in Wuhan city and was declared a pandemic in March 2020. Although the virus is not restricted to the lung parenchyma, the use of chest imaging in COVID-19 can be especially useful for patients with moderate to severe symptoms or comorbidities. This article aimed to demonstrate the chest imaging findings of COVID-19 on different modalities: chest radiography, computed tomography, and ultrasonography. In addition, it intended to review recommendations on imaging assessment of COVID-19 and to discuss the use of a structured chest computed tomography report. Chest radiography, despite being a low-cost and easily available method, has low sensitivity for screening patients. It can be useful in monitoring hospitalized patients, especially for the evaluation of complications such as pneumothorax and pleural effusion. Chest computed tomography, despite being highly sensitive, has a low specificity, and hence cannot replace the reference diagnostic test (reverse transcription polymerase chain reaction). To facilitate the confection and reduce the variability of radiological reports, some standardizations with structured reports have been proposed. Among the available classifications, it is possible to divide the radiological findings into typical, indeterminate, atypical, and negative findings. The structured report can also contain an estimate of the extent of lung involvement (e.g., more or less than 50% of the lung parenchyma). Pulmonary ultrasonography can also be an auxiliary method, especially for monitoring hospitalized patients in intensive care units, where transfer to a tomography scanner is difficult.

Lung ultrasound is a well-defined diagnostic modality in the point of care emergency medicine concept. In the context of the coronavirus disease 2019 (COVID-19) pandemic, the lung ultrasound assumed an essential role in this disease, with a valid correlation of the imaging results with computed tomography. Recognize how the diagnostic possibilities of ultrasound in the approach of COVID-19 and its differential diagnoses are fundamental.

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Wind power is an important source of renewable energy. Beyond the environmental dimension, the wind energy may contribute to the local development. Due to its weather conditions, Brazil emerges as one of the leading countries in the generation of wind power. This study estimates the impact of wind farms on the Brazilian labor market, through the exploration of the staggered nature of the sequential process of wind farm implantation between 2004 and 2016. We estimate the treatment effect parameters using a Difference--in--Differences (DiD) approach with: i) multiple time periods, ii) variation in treatment timing, and iii) dynamic treatment effects, through an event study design. We aggregate information from several data sources into a panel and we analyze the impact on employment and wages, by considering economic sectors, educational levels, and firm sizes. Our findings suggest that wind farms increase employment in the industry, agriculture and construction, and increase the wages in all economic sectors. Additionally, we find positive effects on the employment and wages of less--educated workers, and of small and medium--sized firms. The impact of this intervention can last for up to two years. Our results suggest that wind power may generate significant social impacts through the labor market, by contributing to local development and increasing social welfare in developing economies.

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