COVID-19 mortality among Indigenous people in Brazil: a nationwide register-based study

Escalating Health Crisis: Dissecting Mortality Causes and Trends Among Indigenous Populations in Northeast Brazil

OBJECTIVES

In Northeast Brazil, the poorest region of the country, indigenous communities face critical health care challenges. Despite legal entitlements to the Unified Health System (SUS), systemic barriers persist, exacerbating health disparities and mortality. This ecological study analyzed mortality trends and causes of death within the Special Indigenous Sanitary District (DSEI) Alagoas-Sergipe over a decade.

METHODS

Data on deaths from 2012 to 2022 were obtained from the Indigenous Health Secretariat. Causes of death were classified into 13 categories. Mortality rates per 1,000 indigenous inhabitants were calculated, and trends were analyzed using the Mann-Kendall test. The study also compared causes of death by age group.

RESULTS

Mortality rates ranged from 3.3 to 5.2 per 1,000, showing a moderate upward trend over time (τ = 0.5, p = 0.042). Predominant causes included heart and vascular disorders (24.3%), external causes (12.4%), respiratory issues (11.1%), and infections (10.9%). About one-third of pediatric deaths were associated with general neonatal complications.

CONCLUSIONS

This study highlights increasing mortality in indigenous communities in Northeast Brazil. The predominant causes of death reflect broader public health concerns. These trends emphasize the urgency for more effective, culturally sensitive public health policies and improved health care access.

The impact of smoking on COVID-19-related mortality: a Brazilian national cohort study

INTRODUCTION

Current evidence suggests the potential heightened vulnerability of smokers to severe coronavirus disease (COVID-19) outcomes.

AIMS

This study aimed to analyze the clinical outcomes and mortality related to tobacco use in a cohort of hospitalized Brazilian COVID-19 patients.

METHODS

This retrospective cohort study analyzed adults hospitalized for COVID-19 in Brazil using the SIVEP-Gripe database (official data reported by public and private healthcare facilities for monitoring severe acute respiratory syndrome cases in Brazil). The inclusion criteria were patients over 18 years of age with a positive RT-qPCR test for SARS-CoV-2. The analysis focused on in-hospital mortality, considering smoking as an exposure variable, and included covariates such as age, gender, and comorbidities. Smoking history was collected from the self-reported field in the database. Statistical analyses included descriptive statistics, crude Odds Ratios, and multivariable binary logistic regression.

RESULTS

This study included 2,124,285 COVID-19 patients, among whom 44,774 (2.1 %) were smokers. The average age of the smokers was higher than that of the never-smokers (65.3 years vs. 59.7 years). The clinical outcomes revealed that smokers had higher rates of intensive care unit admission (51.6 % vs. 37.2 % for never-smokers), invasive ventilatory support (31.5 % vs. 20.2 % for never-smokers), and higher mortality (42.7 % vs. 31.8 % for never smokers). In the multivariable analysis, smokers demonstrated a heightened risk of death (aOR 1.23; 95 % CI 1.19-1.25).

CONCLUSIONS

This large populational-based cohort study confirms the current evidence and underscore the critical importance of recognizing smoking as a substantial risk factor for adverse outcomes in COVID-19 patients.

Demographic evolution and natural increase projection of the Yanomami indigenous population in Brazil

The Yanomami population, residing in Brazil's largest indigenous reserve in the Amazon Rainforest, face significant health challenges exacerbated by external threats such as infectious diseases, malnutrition, and mercury contamination from illegal mining. These issues, coupled with inadequate healthcare provision, have led to an alarming increase in mortality rates and potentially threaten the long-term survival of the Yanomami community. This ecological study utilized demographic data from the Special Secretariat of Indigenous Health to explore the demographic evolution and natural increase of the Yanomami Indigenous population in Brazil from 2003 to 2022. Employing population pyramids, crude rates of natural increase, the Mann-Kendall test for trend analysis, and linear regression modeling, the study analyzed vital statistics to forecast demographic trends, with analysis conducted using the R statistical software. Our findings showed a substantial growth of the Yanomami population, yet with a decreasing natural increase rate (τ = -0.33; p = 0.047), suggesting a shift toward population stagnation or decline within the next century. These results call for urgent, coordinated actions to address the complex demographic trends and health challenges faced by Yanomami Indigenous people, ensuring their demographic sustainability and the preservation of their traditional ways of life amidst ongoing environmental and health crises.

First year of COVID-19 in Brazil: Factors associated with the spread of COVID-19 in small and large cities

AIM

To test the association between sociodemographic and social characteristics with COVID-19 cases and deaths in small and large Brazilian cities.

METHODS

This ecological study included COVID-19 data available in State Health Secretaries (managed by brasil.io API) and three national databases (IBGE, DATASUS and Embrapa). Temporal spread of COVID-19 in Brazil during the first year considered as outcome: a) days until 1st case in each city since 1st in the country; b) days until 1,000 cases/100,000 inhabitants since 1st case in each city; c) days until 1st death until 50 deaths/100,000 inhabitants. Covariates included geographic region, city social and environmental characteristics, housing conditions, job characteristics, socioeconomic and inequalities characteristics, and health services and coverage. The analysis were stratified by city size into small (<100,000 inhabitants) and large cities (≥100,00 inhabitants). Multiple linear regressions were performed to test associations of all covariates to adjust to potential confounders.

RESULTS

In small cities, the first cases were reported after 82.2 days and 1,000 cases/100,000 were reported after 117.8 days, whereas in large cities these milestones were reported after 32.1 and 127.7 days, respectively. For first death, small and large cities took 121.6 and 36.0 days, respectively. However, small cities were associated with more vulnerability factors to first case arrival in 1,000 cases/100,000 inhabitants, first death and 50 deaths/100,000 inhabitants. North and Northeast regions positively associated with faster COVID-19 incidence, whereas South and Southeast were least.

CONCLUSION

Social and built environment characteristics and inequalities were associated with COVID-19 cases spread and mortality incidence in Brazilian cities.

Inequality by Skin Color in Breast Cancer Screening in Brazil: a Differences-in-Differences Analysis of the COVID-19 Pandemic

Breast cancer is the second most common cancer type and the first in mortality among Brazilian women. Mammograms are one of the main early diagnosis strategies. National breast cancer screening coverage is still low. Brazil's low screening coverage is due to high mammography access inequality. Skin color defines healthcare access differences. Our article explores the natural event of the COVID-19 pandemic to analyze differences in screening rates between two racial groups of women through the application of the differences in differences (DiD) estimator. The results indicate that BBI women (Black, Brown, and Indigenous Brazilian) have lower screening rates than WY women (White and Yellow) and that the pandemic reduced the difference between these two groups due to the lower number of mammograms performed by WY women. It is believed that the information channel can explain much of this result. The BA population, wealthier and more educated, may have had additional information about COVID-19 and its consequences, as well as an increased likelihood of working remotely and practicing social distance. Structural racism causes many social indicators to be correlated with inequality of access to mammography and negatively impacts health conditions for BBI women. Public policies are necessary for equal access to breast cancer screening for the most vulnerable women.

COVID-19 inpatient mortality in Brazil from 2020 to 2022: a cross-sectional overview study based on secondary data

BACKGROUND

In Brazil, the COVID-19 pandemic found the universal and public Unified Health System (SUS) with problems accumulated over time, due, among other reasons, to low investments, and disparities in resource distribution. The preparedness and response of the healthcare system, involving the SUS and a private sector, was affected by large socioeconomic and healthcare access inequities. This work was aimed at offering an overview of COVID-19 inpatient mortality during the pandemic in Brazil, exploring factors associated with its variations and, specifically, differences across public, private (for-profit) and philanthropic (private non-profit) inpatient healthcare units, providers, and non-providers of services to the SUS.

METHODS

This cross-sectional study used public secondary data. The main data source was the SIVEP-Gripe, which comprises data on severe acute respiratory illness records prospectively collected. We also employed the National Record of Health Establishments, the SUS' Hospitalization Information System and municipalities' data from IBGE. We considered adult COVID-19 hospitalizations registered in SIVEP-Gripe from February 2020 to December 2022 in inpatient healthcare units with a minimum of 100 cases in the period. Data analyses explored the occurrence of inpatient mortality, employing general linear mixed models to identify the effects of patients', health care processes', healthcare units' and municipalities' characteristics on it.

RESULTS

About 70% of the COVID-19 hospitalizations in Brazil were covered by the SUS, which attended the more vulnerable population groups and had worse inpatient mortality. In general, non-SUS private and philanthropic hospitals, mostly reimbursed by healthcare insurance plans accessible for more privileged socioeconomic classes, presented the best outcomes. Southern Brazil had the best performance among the macro-regions. Black and indigenous individuals, residents of lower HDI municipalities, and those hospitalized out of their residence city presented higher odds of inpatient mortality. Moreover, adjusted inpatient mortality rates were higher in the pandemic peak moments and were significantly reduced after COVID-19 vaccination reaching a reasonable coverage, from July 2021.

CONCLUSIONS

COVID-19 exposed socioeconomic and healthcare inequalities and the importance and weaknesses of SUS in Brazil. This work indicates the need to revert the disinvestment in the universal public system, a fundamental policy for reduction of inequities in the country.

Metapopulation dynamics of SARS-CoV-2 transmission in a small-scale Amazonian society

The severity of infectious disease outbreaks is governed by patterns of human contact, which vary by geography, social organization, mobility, access to technology and healthcare, economic development, and culture. Whereas globalized societies and urban centers exhibit characteristics that can heighten vulnerability to pandemics, small-scale subsistence societies occupying remote, rural areas may be buffered. Accordingly, voluntary collective isolation has been proposed as one strategy to mitigate the impacts of COVID-19 and other pandemics on small-scale Indigenous populations with minimal access to healthcare infrastructure. To assess the vulnerability of such populations and the viability of interventions such as voluntary collective isolation, we simulate and analyze the dynamics of SARS-CoV-2 infection among Amazonian forager-horticulturalists in Bolivia using a stochastic network metapopulation model parameterized with high-resolution empirical data on population structure, mobility, and contact networks. Our model suggests that relative isolation offers little protection at the population level (expected approximately 80% cumulative incidence), and more remote communities are not conferred protection via greater distance from outside sources of infection, due to common features of small-scale societies that promote rapid disease transmission such as high rates of travel and dense social networks. Neighborhood density, central household location in villages, and household size greatly increase the individual risk of infection. Simulated interventions further demonstrate that without implausibly high levels of centralized control, collective isolation is unlikely to be effective, especially if it is difficult to restrict visitation between communities as well as travel to outside areas. Finally, comparison of model results to empirical COVID-19 outcomes measured via seroassay suggest that our theoretical model is successful at predicting outbreak severity at both the population and community levels. Taken together, these findings suggest that the social organization and relative isolation from urban centers of many rural Indigenous communities offer little protection from pandemics and that standard control measures, including vaccination, are required to counteract effects of tight-knit social structures characteristic of small-scale populations.

Exploring resilience in public services within marginalised communities during COVID-19: The case of coal mining regions in Colombia

This paper examines the impact of COVID-19 on marginalised communities and its effects on the provision of public services. Focusing on two coal mining regions in Colombia during the pandemic crisis, and examining Indigenous and Afro-Colombian communities, we analyze the provision of public services at a local level, identifying both shortcomings and resilience. Findings show that the lack of resilient public services amplified the effects of COVID-19 and its containment measures, exacerbating existing structural inequalities within local marginalised communities. It also reinforced the control exercised by coal mining companies within local economies. However, the substantial lack of public service provision also provided space for the development and strengthening of several resilience strategies among local communities, such as solidarity networks and schemes and the revitalization of local environmental knowledge. The study identifies multiple shortcomings in how the national and local administrations handled the COVID-19 outbreak and highlights the potential of enhancing resilience in public services to support marginalised communities in times of crisis.

Relationship between primary vaccination coverage and booster coverage against COVID-19, socio-economic indicators, and healthcare structure in Brazil

OBJECTIVE

To investigate the relationship between vaccination coverage and booster coverage against COVID-19, socio-economic indicators, and healthcare structure in Brazil.

STUDY DESIGN

This is a nationwide population-based ecological study.

METHODS

We have obtained data on COVID-19 vaccination for each Brazilian state until December 22, 2022. Our outcomes of interest were primary and booster vaccination coverage. The independent variables included: human development index (HDI); Gini index; population density; unemployment rate; percentage of the population covered by primary health care (PHC); percentage of the population covered by community health workers; number of family health teams; and number of public health establishments. Statistics were performed by using a multivariable linear regression model.

RESULTS

Lower rates of primary vaccination coverage were found in states with lower HDI (P = 0.048), population covered by PHC (P = 0.006), and number of public health establishments (P = 0.004). Lower rates of booster coverage were also found in states with lower population density (first booster: P = 0.004; second booster: P = 0.022), PHC (first booster: P = 0.033; second booster: P = 0.042), and public health establishments (first booster: P < 0.001; second booster: P = 0.027).

CONCLUSION

Our findings showed heterogeneity in access to vaccination against COVID-19 in Brazil, with lower vaccination coverage in localities with the worst socio-economic indicators and limited healthcare resources.

Burnout syndrome in higher education health professionals working in indigenous health in Brazil

Abstract The aim of this study was to investigate the prevalence of burnout syndrome in higher education health professionals working in indigenous health in Brazil, and to identify associated factors. This is an observational, analytical, and cross-sectional study. Data collection was based on the application of a questionnaire (personal profile and MBI-HSS) and included 513 professionals. The prevalence of burnout was 65%. Greater likelihood of emotional exhaustion was observed among younger professionals, who had worked in indigenous health for longer time, in the care function and with lower level of tranquility when working during the pandemic. Lower likelihood of having low personal accomplishment at work was observed among older professionals, professionals who had worked in indigenous health for shorter time, who worked in clinical care during the pandemic and those with lower level of tranquility when working during the pandemic. Greater likelihood of depersonalization was found among married professionals, who worked in clinical care during the pandemic and those with lower level of tranquility when working during the pandemic. This study contributes with an important assessment of the existence of BS predictors in health professionals working in indigenous health.

Burnout syndrome in higher education health professionals working in indigenous health in Brazil

The aim of this study was to investigate the prevalence of burnout syndrome in higher education health professionals working in indigenous health in Brazil, and to identify associated factors. This is an observational, analytical, and cross-sectional study. Data collection was based on the application of a questionnaire (personal profile and MBI-HSS) and included 513 professionals. The prevalence of burnout was 65%. Greater likelihood of emotional exhaustion was observed among younger professionals, who had worked in indigenous health for longer time, in the care function and with lower level of tranquility when working during the pandemic. Lower likelihood of having low personal accomplishment at work was observed among older professionals, professionals who had worked in indigenous health for shorter time, who worked in clinical care during the pandemic and those with lower level of tranquility when working during the pandemic. Greater likelihood of depersonalization was found among married professionals, who worked in clinical care during the pandemic and those with lower level of tranquility when working during the pandemic. This study contributes with an important assessment of the existence of BS predictors in health professionals working in indigenous health.

Ethnic/Racial Disparity in Mortality from COVID-19: Data for the Year 2020 in Brazil

The study aimed to investigate ethnic/racial disparities in COVID-19 mortality in Brazilian federative units and their respective capitals in 2020. Population data and number of COVID-19 deaths were extracted by skin color (white, black, brown and indigenous) from all Brazilian states and their respective capitals. The mortality rate of COVID-19 by ethnicity in Brazilian states was higher between people from brown skin color, followed by indigenous and black. Only in one state, in the Federal District and in the federal capital, age-standardized mortality rates were higher among white's people. There is a high percentage of deaths from COVID-19 higher than expected among non-white individuals, especially in south-central states and capitals of the country. Mortality from COVID-19 affect ethnic-racial groups unevenly in Brazil and the number of excess deaths among non-whites was over 9000. Urgent government measures are needed to reduce the racial disparity in health indicators in Brazil.

A year and a half into the pandemic in Mexico: evidence of differences in COVID-19 mortality between Indigenous and non-Indigenous populations continues to accumulate

Among the groups most vulnerable to COVID-19 are Indigenous populations around the world, and in particular, the Mexican Indigenous population. We used public data made available by the General Directorate of Epidemiology of the Mexican Ministry of Health to compare the risk of COVID-19 mortality among the Indigenous and non-Indigenous Mexican population one and a half years into the pandemic. The analytical sample comprises 3,545,952 Mexicans who were diagnosed as infected with severe acute respiratory syndrome coronavirus-2 between March 18, 2020, and September 16, 2021, of which 1.0% (36,195) are Indigenous. Based on parametric survival models, our results show that the risk of death among Indigenous individuals is 52% higher than that of their non-Indigenous counterparts, regardless of age, sex, area of residence, health service, number of chronic diseases, and obesity status. These results suggest that certain structural conditions of the Mexican Indigenous population increase their vulnerability to the pandemic.

Descriptive analysis of deaths associated with COVID-19 in Fiji, 15 April to 14 November 2021

Objective

There is limited published information about deaths due to coronavirus disease 2019 (COVID-19) in Fiji, the World Health Organization's Western Pacific Region and low- and middle-income countries. This report descriptively analyses deaths directly associated with COVID-19 in Fiji by age group, sex, ethnicity, geographical location, vaccination status and place of death for the first 7 months of the 2021 community outbreak.

Methods

A retrospective analysis was conducted of deaths directly associated with COVID-19 that occurred from 15 April to 14 November 2021 in Fiji. Death rates per 100 000 population were calculated by using divisional population estimates obtained from medical zone nurses in 2021.

Results

A total of 1298 deaths relating to COVID-19 were reported, with 696 directly associated with COVID-19 and therefore included in the analysis. Of these, 71.1% (495) were reported from the Central Division, 54.6% (380) occurred among males, 75.6% (526) occurred among people of indigenous (iTaukei) ethnicity and 79.5% (553) occurred among people who were unvaccinated. Four deaths were classified as maternal deaths. The highest percentage of deaths occurred in those aged ³70 years (44.3%, 308), and the majority of deaths (56.6%, 394) occurred at home.

Discussion

At-risk populations for COVID-19 mortality in Fiji include males, iTaukei peoples, and older (³70 years) and unvaccinated individuals. A high proportion of deaths occurred either at home or during the first 2 days of hospital admission, potentially indicating both a reluctance to seek medical care and a health-care system that was stressed during the peak of the outbreak.

COVID-19 spatialization by empirical Bayesian model in São Paulo, Brazil

The new Acute Respiratory Syndrome, COVID-19, has affected the health and the economy worldwide. Therefore, scientists have been looking for ways to understand this disease. In this context, the main objective of this study was the spatialization of COVID-19, thinking in distinguishing areas with high transmissibility yet, verifying if these areas were associated with the elderly population occurrence. The work was delineated, supposing that spatialization could support the decision-making to combat the outbreak and that the same method could be used for spatialization and prevent other diseases. The study area was a municipality near Sao Paulo Metropolis, one of Brazil's main disease epicenters. Using official data and an empirical Bayesian model, we spatialized people infected by region, including older people, obtaining reasonable adjustment. The results showed a weak correlation between regions infected and older adults. Thus, we define a robust model that can support the definition of actions aiming to control the COVID-19 spread.

Epidemiologic Profile of Severe Acute Respiratory Infection in Brazil During the COVID-19 Pandemic: An Epidemiological Study

Background

The COVID-19 is a significant public health issue, and monitoring confirmed cases and deaths is an essential epidemiologic tool. We evaluated the features in Brazilian hospitalized patients due to severe acute respiratory infection (SARI) during the COVID-19 pandemic in Brazil. We grouped the patients into the following categories: Influenza virus infection (G1), other respiratory viruses' infection (G2), other known etiologic agents (G3), SARS-CoV-2 infection (patients with COVID-19, G4), and undefined etiological agent (G5).

Methods

We performed an epidemiological study using data from DataSUS (https://opendatasus.saude.gov.br/) from December 2019 to October 2021. The dataset included Brazilian hospitalized patients due to SARI. We considered the clinical evolution of the patients with SARI during the COVID-19 pandemic according to the SARI patient groups as the outcome. We performed the multivariate statistical analysis using logistic regression, and we adopted an Alpha error of 0.05.

Results

A total of 2,740,272 patients were hospitalized due to SARI in Brazil, being the São Paulo state responsible for most of the cases [802,367 (29.3%)]. Most of the patients were male (1,495,416; 54.6%), aged between 25 and 60 years (1,269,398; 46.3%), and were White (1,105,123; 49.8%). A total of 1,577,279 (68.3%) patients recovered from SARI, whereas 701,607 (30.4%) died due to SARI, and 30,551 (1.3%) did not have their deaths related to SARI. A major part of the patients was grouped in G4 (1,817,098; 66.3%) and G5 (896,207; 32.7%). The other groups account for &lt;1% of our sample [G1: 3,474 (0.1%), G2: 16,627 (0.6%), and G3: 6,866 (0.3%)]. The deaths related to SARI were more frequent in G4 (574,887; 34.7%); however, the deaths not related to SARI were more frequent among the patients categorized into the G3 (1,339; 21.3%) and G5 (25,829; 4.1%). In the multivariate analysis, the main predictors to classify the patients in the G5 when compared with G4 or G1-G4 were female sex, younger age, Black race, low educational level, rural place of residence, and the use of antiviral to treat the clinical signs. Furthermore, several features predict the risk of death by SARI, such as older age, race (Black, Indigenous, and multiracial background), low educational level, residence in a flu outbreak region, need for intensive care unit, and need for mechanical ventilatory support.

Conclusions

The possible COVID-19 underreporting (G5) might be associated with an enhanced mortality rate, more evident in distinct social groups. In addition, the patients' features are unequal between the patients' groups and can be used to determine the risk of possible COVID-19 underreporting in our population. Patients with a higher risk of death had a different epidemiological profile when compared with patients who recovered from SARI, like older age, Black, Indigenous, and multiracial background races, low educational level, residence in a flu outbreak region, need for intensive care unit and need for mechanical ventilatory support.

Clinical characteristics and risk factors for maternal deaths due to COVID-19 in Brazil: a nationwide population-based cohort study

BACKGROUND

Monitoring the characteristics and associated factors for death among pregnant and postpartum women with coronavirus disease 19 (COVID-19) is necessary. We investigated the clinical characteristics and risk factors associated with maternal deaths in a nationwide cohort of Brazil.

METHODS

This was a population-based cohort of all pregnant and postpartum women hospitalised with COVID-19 notified to the Sistema de Informação de Vigilância Epidemiológica da Gripe of Brazil (SIVEP-Gripe), from February 2020 to September 2021. The primary outcome was time to in-hospital death, with risk factors analysed with univariable and multivariable Cox proportional hazards regression models.

RESULTS

Cumulative observation time was 248 821 person-days from hospital admission to the end of follow-up for 15 105 individuals. There were 1858 deaths (12.3%) for a maternal mortality rate of 7.5 (95% CI 7.1-7.8) per 1000 patients-days. The cumulative mortality increased over time. Black/Brown ethnicity had a higher risk of death than women self-identifying as White. Women in the North, Northeast, Central-West and Southeast regions had higher risk of death than women in the South region. The characteristics independently associated with death were a postpartum status on admission [adjusted hazard ratio, HR 1.4 (95% confidence interval, CI 1.2-1.6)], pre-existing clinical conditions [adjusted HRs 1.2 (95%CI 1.1-1.3) for one and 1.3 (95%CI 1.1-1.5) for two comorbidities], hypoxaemia on admission [adjusted HR 1.2 (95%CI 1.1-1.4)] and requiring non-invasive [adjusted HR 2.6 (95%CI 2.1-3.3)] or invasive ventilatory support [adjusted HR 7.1 (95%CI 5.6-9.2)].

CONCLUSION

In Brazil, the in-hospital maternal mortality rate due to COVID-19 is high and the risk of death increases with the length of hospitalisation. Socio-demographic and biological factors are associated with an increased risk of maternal death. The presence of respiratory signs and symptoms should be considered early markers of disease severity and an adequate management is necessary. Our findings reinforce the need for vaccination of pregnant and postpartum women against COVID-19.

An analysis of how health systems integrated priority-setting in the pandemic planning in a sample of Latin America and the Caribbean countries

BACKGROUND

Latin America and the Caribbean (LAC) are among those regions most affected by the COVID-19 pandemic worldwide. The COVID-19 pandemic has strained health systems in the region. In this context of severe healthcare resource constraints, there is a need for systematic priority-setting to support decision-making which ensures the best use of resources while considering the needs of the most vulnerable groups. The aim of this paper was to provide a critical description and analysis of how health systems considered priority-setting in the COVID-19 response and preparedness plans of a sample of 14 LAC countries; and to identify the associated research gaps.

METHODS

A documentary analysis of COVID-19 preparedness and response plans was performed in a sample of 14 countries in the LAC region. We assessed the degree to which the documented priority-setting processes adhered to established quality indicators of effective priority-setting included in the Kapiriri and Martin framework. We conducted a descriptive analysis of the degree to which the reports addressed the quality parameters for each individual country, as well as a cross-country comparison to explore whether parameters varied according to independent variables.

RESULTS

While all plans were led and supported by the national governments, most included only a limited number of quality indicators for effective priority-setting. There was no systematic pattern between the number of quality indicators and the country's health system and political contexts; however, the countries that had the least number of quality indicators tended to be economically disadvantaged.

CONCLUSION

This study adds to the literature by providing the first descriptive analysis of the inclusion of priority-setting during a pandemic, using the case of COVID-19 response and preparedness plans in the LAC region. The analysis found that despite the strong evidence of political will and stakeholder participation, none of the plans presented a clear priority-setting process, or used a formal priority-setting framework, to define interventions, populations, geographical regions, healthcare setting or resources prioritized. There is need for case studies that analyse how priority-setting actually occurred during the COVID-19 pandemic and the degree to which the implementation reflected the plans and the parameters of effective priority-setting, as well as the impact of the prioritization processes on population health, with a focus on the most vulnerable groups.

COVID-19 among Amazonian indigenous in Peru: mortality, incidence, and clinical characteristics

Background

Few studies have described the clinical characteristics of patients with COVID-19 from ethnic minority groups. Our objective was to evaluate the mortality and incidence rates, clinical characteristics and factors associated with mortality in cases with COVID-19 belonging to the Amazonian indigenous ethnic group in Peru.

Methods

We performed a retrospective cohort study including all cases from COVID-19 among Peruvian people identified as Amazonian indigenous from 07 March to 31 October 2020. We calculated the standardized mortality and incidence ratios using the indirect age-adjusted method to determine the differences between Amazonian Indigenous and the general population. In addition, we used multivariable logistic regression to determine the risk factors for death.

Results

A total of 19 018 laboratory confirmed COVID-19 cases were analyzed. Indigenous people had 3.18 (95% CI, 3.13–3.23) times the risk of infection and 0.34 (0.31–0.37) times the mortality risk of the general Peruvian population. Males had 1.29 (1.04–1.61) times the odds of death compared with females and for each year of age, the odds of mortality increased 1.03 (1.03–1.04) times. Cases with respiratory distress had 2.47 (1.96–3.10) times more likely to die. Having an immunodeficiency was 18.7 (6.12–57.00) times more likely to die.

Discussion

The Amazonian indigenous population in Peru was strongly affected by COVID-19 compared with the general Peruvian population.

The assistance gaps in combating COVID-19 in Brazil: for whom, where and when vaccination occurs

BACKGROUND

Following the emergence of the COVID-19 pandemic, the number of infected Brazilian people has increased dramatically since February 2020, with Brazil being amongst the countries with the highest number of cases and deaths. Brazilian vaccination began in January 2021, aimed at priority groups. This study analysed the spatial and temporal evolution of vaccination in Brazil between the 3rd and 21st epidemiological weeks (EW) of 2021.

METHODS

Spatial and temporal analyses were performed comprising 19 EW. Cases were structured into priority groups-elderly population (EP); healthcare workers (HW); indigenous and quilombola populations (I/Q), dose, vaccine (CoronaVac or AstraZeneca), and place of vaccination. A sweep test was performed to identify vaccination rate clusters. Vaccination rates (VR) were calculated according to a spatial window for each Health Region, indicating clusters above/below expected VR. Based on the discrete Poisson probability model, spatial analysis was performed to detect high/low VR clusters, which were converted into Kernel maps. Points were generated from SaTScan analyses associated with Health Region centroids. Temporal analysis of VR was carried out to identify significant trends, and results were converted into temporal cluster graphs. P-value ≤ 0.05 was adopted.

RESULTS

Southeast region concentrated most of the vaccines of EP and HW, followed by the Northeast. The latter region had the largest contingent of I/Q vaccinated. In all priority age groups and all regions, a higher percentage of complete CoronaVac vaccination schedules were observed compared with AstraZeneca. The temporal analysis identified high VR clusters of CoronaVac first and second dose in the early weeks, except for the EP; of AstraZeneca first dose, only for HW in the early weeks, and for EP and I/Q in the final weeks; of AstraZeneca second dose for all priority groups in the final weeks. I/Q populations had the lowest general VR. The spatial profile of VR indicated significant regional cluster differences between the priority groups.

CONCLUSION

This study highlights the importance of establishing vaccination priority groups, considering the asymmetries that a pandemic can trigger, notably in vast geographic areas, to contemplate the main objective of vaccination: to prevent casualties.

T Cell Epitope Discovery in the Context of Distinct and Unique Indigenous HLA Profiles

CD8+ T cells are a pivotal part of the immune response to viruses, playing a key role in disease outcome and providing long-lasting immunity to conserved pathogen epitopes. Understanding CD8+ T cell immunity in humans is complex due to CD8+ T cell restriction by highly polymorphic Human Leukocyte Antigen (HLA) proteins, requiring T cell epitopes to be defined for different HLA allotypes across different ethnicities. Here we evaluate strategies that have been developed to facilitate epitope identification and study immunogenic T cell responses. We describe an immunopeptidomics approach to sequence HLA-bound peptides presented on virus-infected cells by liquid chromatography with tandem mass spectrometry (LC-MS/MS). Using antigen presenting cell lines that stably express the HLA alleles characteristic of Indigenous Australians, this approach has been successfully used to comprehensively identify influenza-specific CD8+ T cell epitopes restricted by HLA allotypes predominant in Indigenous Australians, including HLA-A*24:02 and HLA-A*11:01. This is an essential step in ensuring high vaccine coverage and efficacy in Indigenous populations globally, known to be at high risk from influenza disease and other respiratory infections.

Seroprevalence and lethality by SARS-CoV-2 in indigenous populations of Latin America and the Caribbean: a systematic review

Background

Latin America and the Caribbean (LAC) has presented some of the highest numbers of cases and deaths due to COVID-19 in the world. Even though indigenous communities represent 8% of the total population in this region, the impact of COVID-19 on this historically vulnerable population has only been briefly explored. Thus, this study aimed to estimate the seroprevalence and lethality attributable to SARS-CoV-2 in the indigenous population of LAC.

Methods

A systematic review was conducted utilizing multiple databases (registry PROSPERO: CRD42020207862). Studies published in English, Spanish or Portuguese were selected between December 1st, 2019, and April 14^th, 2021. The evaluation of the quality of the study was carried out utilizing the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. A qualitative synthesis of the data analyzed was conducted following the MOOSE and PRISMA declarations.

Results

Fifteen studies met the inclusion criteria. Eleven studies were carried out in a Brazilian population, three in a Mexican population, and one in a Colombian population. Four studies reported data about the seroprevalence of SARS-CoV-2 in indigenous populations of Brazil (range: 4.2–81.65%). Twelve studies reported lethality in indigenous people (eight in Brazil, three in Mexico, and one in Colombia). In Brazil, a lethality of 53.30% was described in a hospital setting and between 1.83% and 4.03% in community studies. In Mexico, the lethality of COVID-19 ranged between 16.5% and 19.9%. Meanwhile, in Colombia, a lethality of 3.41% was reported. Most studies were deemed to be of good quality.

Conclusions

Despite COVID-19 affecting indigenous populations of LAC, there is limited evidence of the seroprevalence and lethality of the infection by SARS-CoV-2 in this population. Future investigations should ensure standardized methods that allow comparability among studies and ensure the precision of the results obtained.

Inequalities in Physical Activity During the COVID-19 Pandemic: Report on 4 Consecutive Population-Based Surveys in Southern Brazil

BACKGROUND

This study aims to investigate inequalities in leisure-time physical activity (PA) practice amid the COVID-19 pandemic in a southern Brazilian city.

METHODS

Four repeated population-based surveys were carried out. PA was collected using a questionnaire proposed by the authors and an adapted version of the leisure-time section of the International Physical Activity Questionnaire. The sociodemographic variables were sex, age, skin color, and education level. The participants also answered questions regarding social distancing measures compliance. Descriptive analyses based on proportions and their respective P values for categorical variables were presented. The chi-square test for heterogeneity and linear trend was used.

RESULTS

The sample is composed of 1556 individuals (66.1% female). Overall, between rounds 1 and 2, PA prevalence declined, followed by a gradual increase thereafter. PA practice during the pandemic was higher among men, individuals with higher education level, and individuals with white skin color in all rounds. In rounds 2, 3, and 4, PA was lower among individuals who were practicing more social distancing.

CONCLUSION

To tackle the PA inequalities, policymakers and stakeholders need to confront disparities, defending greater availability of public policies that are attentive to inequalities, especially regarding gender, skin color, and educational level, to promote PA as a human right.

Disparities in Excess Mortality Between Indigenous and Non-Indigenous Brazilians in 2020: Measuring the Effects of the COVID-19 Pandemic

This study aimed to estimate the number of excess deaths among Indigenous Peoples associated with the COVID-19 pandemic in 2020 and to assess the disparities in excess mortality between Indigenous and non-Indigenous Brazilians. A time series analysis of weekly mortality data including all deaths from January 2015 to December 2020 was conducted. The number of expected deaths for 2020 was estimated using an over-dispersed Poisson model that accounts for demographic changes, temporal trends, and seasonal effects in mortality. Weekly excess deaths were calculated as the difference between the number of observed deaths and the expected deaths. Regional differences in Indigenous mortality were investigated. A significant increase in Indigenous mortality was observed from April 1 to December 31, 2020. An estimated 1149 (95% CI 1018-1281) excess deaths was found among Indigenous Brazilians in 2020, representing a 34.8% increase from the expected deaths for this population. The overall increase in non-Indigenous mortality was 18.1%. The Indigenous population living in the Brazilian Amazon area was the earliest-affected Indigenous group, with one of the highest proportional increases in mortality. Disparities in excess mortality revealed a disproportionate burden of COVID-19 among Indigenous Brazilians compared to their non-Indigenous counterparts. Findings highlight the importance of implementing an effective emergency plan that addresses the increased vulnerability of Indigenous Peoples to COVID-19.

Direct and Indirect Proof of SARS-CoV-2 Infections in Indigenous Wiwa Communities in North-Eastern Colombia-A Cross-Sectional Assessment Providing Preliminary Surveillance Data

To provide initial data on local SARS-CoV-2 epidemiology and spread in indigenous communities in north-eastern Colombia, respiratory swabs and serum samples from volunteers of indigenous communities were examined in March and April 2021. Samples from non-indigenous Colombians from the same villages were included as well. While previous exposure to SARS-CoV-2 was assessed by analysing serum samples for IgG and IgM with a rapid antibody point-of-care-test (POCT), screening for active infections was carried out with an antigen POCT test and real-time PCR from nasal swabs. In 380 indigenous and 72 non-indigenous volunteers, 61 (13.5%) active infections and an additional 113 (25%) previous infections were identified using diagnostic serology and molecular assays. Previous infections were more frequent in non-indigenous volunteers, and relevant associations of clinical features with active or previous SARS-CoV-2 infections were not observed. Symptoms reported were mild to moderate. SARS-CoV-2 was frequent in the assessed Colombian indigenous communities, as 38.5% of the study participants showed signs of exposure to SARS-CoV-2, which confirms the need to include these indigenous communities in screening and vaccination programs.

Improving Social Justice in COVID-19 Health Research: Interim Guidelines for Reporting Health Equity in Observational Studies

The COVID-19 pandemic has highlighted the global imperative to address health inequities. Observational studies are a valuable source of evidence for real-world effects and impacts of implementing COVID-19 policies on the redistribution of inequities. We assembled a diverse global multi-disciplinary team to develop interim guidance for improving transparency in reporting health equity in COVID-19 observational studies. We identified 14 areas in the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist that need additional detail to encourage transparent reporting of health equity. We searched for examples of COVID-19 observational studies that analysed and reported health equity analysis across one or more social determinants of health. We engaged with Indigenous stakeholders and others groups experiencing health inequities to co-produce this guidance and to bring an intersectional lens. Taking health equity and social determinants of health into account contributes to the clinical and epidemiological understanding of the disease, identifying specific needs and supporting decision-making processes. Stakeholders are encouraged to consider using this guidance on observational research to help provide evidence to close the inequitable gaps in health outcomes.

A decentralised point-of-care testing model to address inequities in the COVID-19 response

The COVID-19 pandemic is growing rapidly, with over 37 million cases and more than 1 million deaths reported by mid-October, 2020, with true numbers likely to be much higher in the many countries with low testing rates. Many communities are highly vulnerable to the devastating effects of COVID-19 because of overcrowding in domestic settings, high burden of comorbidities, and scarce access to health care. Access to testing is crucial to globally recommended control strategies, but many communities do not have adequate access to timely laboratory services. Geographic dispersion of small populations across islands and other rural and remote settings presents a key barrier to testing access. In this Personal View, we describe a model for the implementation of decentralised COVID-19 point-of-care testing in remote locations by use of the GeneXpert platform, which has been successfully scaled up in remote Aboriginal and Torres Strait Islander communities across Australia. Implementation of the decentralised point-of-care testing model should be considered for communities in need, especially those that are undertested and socially vulnerable. The decentralised testing model should be part of the core global response towards suppressing COVID-19.

A review of Environmental risks and vulnerability factors of indigenous populations from Latin America and the Caribbean in the face of the COVID-19

Latin America and the Caribbean (LAC) was declared a new epicentre of the coronavirus pandemic by the World Health Organization (WHO) on 22 May 2020. As of 13 January 2021, the numbers of deaths and cases caused by COVID-19 in LAC reported are 552,000 and 17'485,000 respectively. LAC concentrates the largest percentage of indigenous populations throughout the world. In this region, poverty is persistent and particularly rural indigenous peoples hold the steepest barriers to health services and experience profound discrimination based on ethnicity, poverty, and language, compared to their non-indigenous counterparts. The information regarding the health of indigenous populations, in general, is scarce, and this problem is aggravated in the face of the COVID-19 pandemic. Therefore, the main objective of this work is to address the overall scenario of indigenous peoples in the Latin American and Caribbean region from March 2020 to January 2021, in this manner gathering information regarding health problems, economic, social, cultural and environmental factors that make indigenous populations in LAC particularly vulnerable to serious health effects from the COVID-19 pandemic, as well as compiling the mitigation strategies implemented in indigenous communities.