Quantifying political influence on COVID-19 fatality in Brazil
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ABSTRACT:
SUBMITTER: de Almeida L
PROVIDER: S-EPMC9275831 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundCoronavirus Disease 2019 (COVID-19) became the deadliest pandemic of the new millennium. One year after it became a pandemic, the current COVID-19 situation in Brazil is an example of how the impacts of a pandemic are beyond health outcomes and how health, social, and political actions are intertwined.ObjectivesWe aimed to provide an overview of the first year of the COVID-19 pandemic in Brazil, from a social and political point of view, and to discuss the perspectives from now on.MethodsThis is a narrative review using official, scientific (PubMed, Medline, and SciELO databases) and publicly available data. Press articles were also used that contain important information not found in these databases.FindingsWe address the impacts of COVID-19 in different regions of Brazil, on indigenous populations, health care workers, and how internal social contrasts impacted the pandemics advance across the country. We also discuss key points that culminated in the countrys failed management of the COVID-19 spread, such as poor management of the public health care system, disparities between public and private health care infrastructure, lack of mass testing and viral spread tracking, lack of preparedness and planning to implement strict isolation and social distancing measures, and, most importantly, political instability, a deteriorating Health Ministry and sabotaging attitudes of the countrys president, including anti-scientific actions, underplaying COVID-19 severity, spreading and powering fake news about the pandemic, promoting knowingly inefficient medications for COVID-19 treatment, and interference in collective health policies, including the countrys vaccination plan.ConclusionsAfter one year of COVID-19 and a disastrous management of the disease, Brazil has more than 11 million cases, 270,000 deaths, and the highest number of daily deaths due to COVID-19 in the world, most of which could have been avoided and can be credited to negligence of municipal, state, and federal authorities, especially President Jair Messias Bolsonaro. Unfortunately, the country is an example of what not to do in a pandemic setting.Key pointsOne year after COVID-19 was declared a pandemic, Brazil had the second higher number of cases and deaths, and the highest number of daily deaths due to the disease. Lack of massive testing, non-stringent and ineffective collective health policies, poor management of the public health care system, and political instability were the main drivers of the countrys flawed management of the COVID-19 advancement. Anti-science and sabotaging actions by government had a pivotal role in the countrys current situation. Brazil has a large territory and is marked by social contrasts among different regions and states, which showed contrasting data regarding the impact caused by COVID-19. COVID-19 databases and data sharing are important to provide an overview of epidemiological aspects of the disease; however, Brazil lacks standardization in these datasets.
| S-EPMC8139306 | biostudies-literature
Project description:The Human Development Index measures a region's development and is a step for development debate beyond the traditional, economic perspective. It can also determine the success of a country's response to the COVID-19 pandemic, mainly affecting the case fatality rate among severe cases of SARS-CoV-2 infection. We aimed to associate the Human Development Index with the case fatality rate due to COVID-19 in each Brazilian state and the Federal District, taking into account comorbidities and the need for invasive mechanical ventilation. We also evaluated the influence of the GINI index, number of intensive care unit beds, and occupied households in subnormal clusters on the case fatality rate. We performed an ecological study including two populations: COVID-19 individuals that did not require the mechanical ventilation protocol; and COVID-19 individuals under invasive mechanical ventilation. We performed a Pearson correlation test and a univariate linear regression analysis on the relationship between Human Development Index, Human Development Index-Education Level, Human Development Index-Life Expectancy, and Human Development Index-Gross National Income per capita and COVID-19 deaths. The same analyses were performed using the other markers. We grouped the patients with COVID-19 according to comorbidities and the need for invasive mechanical ventilation. Alpha = 0.05. We included 848,501 COVID-19 individuals, out of which 153,710 needed invasive mechanical ventilation and 314,164 died, and 280,533 COVID-19 individuals without comorbidity, out of which 33,312 needed invasive mechanical ventilation and 73,723 died. We observed a low negative Pearson correlation between the Human Development Index and death and a moderate negative Pearson correlation between the Human Development Index and deaths of individuals on invasive mechanical ventilation, with or without comorbidity. The univariate linear analysis showed the case fatality rate depends on at least 20-40% of the Human Development Index. In Brazil, regions with a low Human Development Index demonstrated a higher case fatality rate due to COVID-19, mainly in individuals who needed invasive mechanical ventilation, than regions with a higher Human Development Index. Although other indexes studied, such as intensive care unit beds and GINI, were also associated with the COVID-19 case fatality rate, they were not as relevant as the Human Development Index. Brazil is a vast territory comprising cultural, social, and economic diversity, which mirrors the diversity of the Human Development Index. Brazil is a model nation for the study of the Human Development Index's influence on aspects of the COVID-19 pandemic, such as its impact on the case fatality rate.
| S-EPMC9102208 | biostudies-literature
Project description:The Covid-19 pandemic in Brazil was widely affected by politics and the population’s consumption of information is fundamental to understanding the situation. This study aimed at understanding the relationship between political-ideological markers, consumption of information, and preventive practices during the pandemic. We conducted an online survey with 1,328 Brazilians who answered a questionnaire about authoritarianism, conservatism, political orientation, trust in social media, and preventive practices during the pandemic The results indicate that right-wing and centrist individuals, with higher authoritarianism or higher conservatism scores, put significantly more trust in the information about Covid-19 conveyed through WhatsApp and less trust in the information conveyed through traditional media, in comparison with left-wing individuals or individuals with low scores for these factors. Additionally, these elements were closely associated with worse practices concerning the use of masks, practices of social distancing, and the intention of being vaccinated. The findings warn of the impacts of fake news in health practices during the pandemic.
| S-EPMC8754546 | biostudies-literature
Project description:ObjectiveThe coronavirus disease 2019 (COVID-19) pandemic has led to rapid research and reporting on potential preventatives and treatments for the disease, including the drug hydroxychloroquine (HCQ). Despite a lack of robust evidence to support the use of HCQ for treatment of COVID-19, it was publicly endorsed and received widespread media coverage and public interest. The purpose of this report is to describe and contextualize the surges in public interest, demand, and adoption of HCQ for treatment of COVID-19 and outline implications for future public health policy and practice.MethodsUsing national and global events and Google Trends data as a measure of public interest, we describe the timeline and trends in the emergence of, interest in, and adoption of HCQ as a treatment of COVID-19. We additionally review reports on public demand for HCQ for treatment of COVID-19 and impacts on medication access among patients with indicated uses.ResultsPublic interest and demand for HCQ surged in the United States and globally following endorsements from public officials and enaction of policies to facilitate off-label use of HCQ for treatment of COVID-19. Surges in demand for HCQ led to multiple documented shortages and barriers to accessing HCQ treatment for patients with indicated uses for HCQ. Although there have been reversals in policies to support HCQ use for treatment of COVID-19 in some regions, others have continued or expanded recommended uses.ConclusionInsights from the global response to HCQ and COVID-19 can be used to inform prudent decision-making in the future to prevent premature action and promote informed and equitable responses to promote public health.
| S-EPMC7738805 | biostudies-literature
Project description:AimTo evaluate the influence of diabetes on the severity and fatality of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection.Materials and methodsThe medical records of 66 hospitalized coronavirus disease 2019 (COVID-19) patients were collected and classified into non-severe (mild/moderate cases) and severe (severe/critical cases) groups. Logistic regression analysis was used to estimate the risk of severe COVID-19 (severe/critical infection). In addition, a meta-analysis including published studies reported the impact of diabetes on the severity and fatality of COVID-19. The current study was conducted using fixed effects models.ResultsThere were 22 diabetes and 44 non-diabetes cases among the 66 hospitalized COVID-19 patients. Seven patients with diabetes (31.82%) were diagnosed as severe COVID-19 cases, which was significantly higher than that in the non-diabetes group (4/44, 9.09%, P = .033). After adjustment for age and gender, diabetes was significantly associated with COVID-19 severity (OR: 5.29, 95% CI: 1.07-26.02). A meta-analysis further confirmed the positive association between diabetes and COVID-19 severity (pooled OR = 2.58, 95% CI: 1.93-3.45). Moreover, the patients with diabetes infected with SARS-CoV-2 had a 2.95-fold higher risk of fatality compared with those patients without diabetes (95% CI: 1.93-4.53).ConclusionsOur findings provide new evidence that diabetes is associated with a higher risk of severity and fatality of COVID-19. Therefore, intensive monitoring and antidiabetic therapy should be considered in patients with diabetes with SARS-CoV-2 infection.
| S-EPMC7300679 | biostudies-literature
Project description:Previous studies have identified dementia as a risk factor for death from coronavirus disease 2019 (COVID-19). However, it is unclear whether Alzheimer's disease (AD) is an independent risk factor for COVID-19 case fatality rate. In a retrospective cohort study, we identified 387,841 COVID-19 patients through TriNetX. After adjusting for demographics and comorbidities, we found that AD patients had higher odds of dying from COVID-19 compared to patients without AD (Odds Ratio: 1.20, 95%confidence interval: 1.09-1.32, p < 0.001). Interestingly, we did not observe increased mortality from COVID-19 among patients with vascular dementia. These data are relevant to the evolving COVID-19 pandemic.
| S-EPMC8841099 | biostudies-literature
Project description: Not available
| S-EPMC7270730 | biostudies-literature
Project description:BackgroundA number of estimates of the infection fatality ratio (IFR) of SARS-CoV-2 in different countries have been published. In Brazil, the fragile political situation, together with socioeconomic and ethnic diversity, could result in substantially different IFR estimates.MethodsWe infer the IFR in Brazil in 2020 by combining three datasets. We compute the prevalence via the population-based seroprevalence survey, EPICOVID19-BR. For the fatalities we obtain the absolute number using the public Painel Coronavírus dataset and the age-relative number using the public SIVEP-Gripe dataset. The time delay between the development of antibodies and subsequent fatality is estimated via the SIVEP-Gripe dataset. We obtain the IFR for each survey stage and 27 federal states. We include the effect of fading IgG antibody levels by marginalizing over the test detectability time window.ResultsWe infer a country-wide average IFR (maximum posterior and 95% CI) of 1.03% (0.88-1.22%) and age-specific IFRs of 0.032% (0.023-0.041%) [< 30 years], 0.22% (0.18-0.27%) [30-49 years], 1.2% (1.0-1.5%) [50-69 years], and 3.0% (2.4-3.9%) [≥ 70 years]. We find that the fatality ratio in the country increased significantly at the end of June 2020, likely due to the increased strain on the health system.ConclusionsOur IFR estimate is based on data and does not rely on extrapolating models. This estimate sets a baseline value with which future medications and treatment protocols may be confronted.
| S-EPMC8358085 | biostudies-literature
Project description: Not available
| S-EPMC9189140 | biostudies-literature
Project description:Although militaristic metaphors have been pervasive during health crisis in political and science communication, few works have examined how these linguistic devices may influence crisis communication. Drawing on critical discourse analysis (CDA) and on crisis communication literature, I show how political representatives have used the war metaphor for very different purposes in terms of crisis communication and management of the current Covid-19 pandemic. I suggest that these findings challenge previous criticisms of the war metaphor as inherently negative and damaging. Finally, I discuss possibilities of using CDA, and specifically, metaphor analysis to inform and expand crisis communication.
| S-EPMC8022596 | biostudies-literature