2020
DOI: 10.1101/2020.10.24.20218701
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Clinical and spatial characteristics of Severe Acute Respiratory Syndrome by COVID-19 in Indigenous of Brazil

Abstract: The indigenous people of Brazil present several cases and deaths, affecting 158 peoples, with high vulnerability and limited access to health services. The objective is to investigate the clinical characteristics of severe acute respiratory syndrome by COVID-19 in indigenous peoples of Brazil. The epidemiological study, descriptive, from the data of the platform opendataSUS referring to the SIVEP-GRIPE in the period 01/01/2020 until 31/08/2020. Profile variables, signs and symptoms, and risk/comorbidities fact… Show more

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Cited by 4 publications
(6 citation statements)
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References 33 publications
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“…Being corroborated by the study (Sardinha, Lima, et al, 2021) which identified chronic heart diseases (18.97%) and diabetes (18.97%) among the most prevalent comorbidities in the indigenous population with SARS due to COVID-19.…”
Section: Discussionmentioning
confidence: 65%
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“…Being corroborated by the study (Sardinha, Lima, et al, 2021) which identified chronic heart diseases (18.97%) and diabetes (18.97%) among the most prevalent comorbidities in the indigenous population with SARS due to COVID-19.…”
Section: Discussionmentioning
confidence: 65%
“…These results corroborate the literature. (Sardinha et al, 2020) also report greater survival by SRAG among those vaccinated against influenza in Brazil.…”
Section: Discussionmentioning
confidence: 93%
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“…Typical changes in chest High Resolution Computed Tomography of COVID-19 patient: Peripheral, bilateral, Ground Glass Opacification with or without consolidation or visible interlobular lines ("web like" or "crazy paving") Multifocal Ground Glass Opacification of rounded morphology with or without consolidation or visible intralobular lines ("web like" or "crazy paving") Reverse halo sign or other findings of organizing pneumonia [28] [29]. V. CONCLUSION In this paper, we presented the functioning and viable applications of medical imaging.…”
Section: Detecting Covid-19 In Lungsmentioning
confidence: 99%