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Brazilian Archives of Biology and Technology ; 65(e22210648), 2022.
Article in English | CAB Abstracts | ID: covidwho-1875203


COVID-19 rapidly spread across the world in an unprecedented outbreak with a massive number of infected and fatalities. The pandemic was heavily discussed and searched on the internet, which generated big amounts of data related to it. This led to the possibility of attempting to forecast coronavirus indicators using the internet data. For this study, Google Trends statistics for 124 selected search terms related to pandemic were used in an attempt to find which keywords had the best Spearman correlations with a lag, as well as a forecasting model. It was found that keywords related to coronavirus testing among some others, such as "I have contracted covid", had high correlations (0.7) with few weeks of lag (4 weeks). Besides that, the ARIMAX model using those keywords had promising results in predicting the increase or decrease of epidemiological indicators, although it was not able to predict their exact values. Thus, we found that Google Trends data may be useful for predicting outbreaks of coronavirus a few weeks before they happen, and may be used as an auxiliary tool in monitoring and forecasting the disease in Brazil.

Cadernos de Saude Publica ; 36(11), 2020.
Article in Portuguese | CAB Abstracts | ID: covidwho-1496621


Nowadays, the concept of vulnerability occupies a central space in debates about the health of indigenous peoples on a global scale, and is also widely referred to in discussions about the dissemination of the COVID-19 pandemic. This concept is present in the National Health Care Policy for Indigenous Peoples in Brazil 2, in line with the perspective of the social determinants of health. In this interpretive scheme, which is so central to public policies in many countries around the world, and also in Brazil, any and all harm that affects human populations involves, to some extent, biological aspects, but the main determinants of illness and death of populations are seen as primarily linked to ethnic, political and socioeconomic inequalities. But in the case of the health of indigenous peoples, arguments are sometimes put forward that are anchored in what we could call the other "face of the coin" of the concept of vulnerability. That's when the notion is based, predominantly - or completely, on arguments linked to genetic determination. Here, we want to comment on a recently published article in PLoS One by Leal et al. which, it seems to us, is particularly illustrative of an emphasis that, mistakenly, gives second place to the perspective of social determinants in the field of health in indigenous peoples. It is a specific study on risk factors for tuberculosis, but it can be used as an example of a given way of doing (or not doing) science, with direct implications for care practices and health policies.

Scientia Medica ; 31(1):8, 2021.
Article in English | Web of Science | ID: covidwho-1151029


AIMS: The COVID-19 pandemic suddenly and significantly increased hospitalizations for pneumonia with systemic inflammatory disease. Since its appearance, COVID-19 has affected more than 200 countries, with more than 90 million cases and almost 2 million deaths. So far, there is no quality evidence regarding the specific pharmacological therapy for COVID-19;most treatments usually involve off-label use of existing drugs and have unproven efficacy. The global effort converges on the development of a vaccine;however, the greatest challenge is to achieve collective immunization in the face of increasing vaccination hesitancy. METHODS: This study investigated the impact of vaccine hesitancy movements on the goal of COVID-19 immunization in Brazil. An integrative bibliographic review was performed with an electronic search on PubMed and SciELO that yielded 13.535 articles. Inclusion and exclusion criteria were applied which included 29 interventional and descriptive studies. RESULTS: The results of the 29 studies revealed that the most frequent reasons for hesitation is skepticism about the true interests of the industry and politicians, the lack of trust in research, and inaccurate information on social media. CONCLUSION: The main factors that lead the population not to believe in vaccines were the real interests of industry and politicians, lack of confidence in research, and the amount of false information that circulates massively on social media and because of that it is possible that Brazil will face some challenges in achieving collective immunity due to the anti-vaccine movement.