Influenza vaccination in older adults during the COVID-19 pandemic: a population-based study in 133 Brazilian cities. / Vacinação para influenza em idosos na pandemia COVID-19: estudo de base populacional em 133 cidades brasileiras.

Routine immunization during pandemics can be harmed. This study estimated the influenza vaccination coverage in older adults during the COVID-19 through the EPICOVID-19, a population-based study conducted in 133 cities from the 26 Brazilian states and Federal District. We selected 25 census tracts per city, with probability proportional to the tract's size, ten households by census tract, and one random individual interviewed. A total of 8,265 older adults (≥60 years old) were interviewed and asked whether they had been vaccinated against flu in 2020. Vaccination coverage was 82.3% (95% CI: 80.1-84.2) with no difference by gender, age, and region; higher vaccination coverage was observed among the wealthiest (84.7% versus 80.1% in the poorest) and among the more educated (87.3% versus 83.2% less educated); lower coverage among indigenous (56.9% versus > 80% among other ethnic groups). A positive association was identified with the number of comorbidities among men but not among women. Most of the population was vaccinated (97.5%) in the public health system. The private network was chosen mainly in the South by the wealthiest and more educated. Vaccination coverage was seven percentage points lower than the government target (90%), and inequalities should be reversed in future campaigns.

Imunizações de rotina durante pandemias podem ser prejudicadas. Este estudo estimou a cobertura vacinal para influenza em idosos durante a COVID-19 através do EPICOVID-19, inquérito populacional realizado em 133 cidades sentinelas dos 26 estados brasileiros e Distrito Federal. Selecionou-se 25 setores censitários por cidade, amostragem proporcional ao tamanho, dez domicílios por setor e uma pessoa por domicílio, aleatoriamente. O quantitativo de 8.265 idosos (≥ 60 anos) foram entrevistados e responderam se haviam sido vacinados contra gripe em 2020. A cobertura foi 82,3% (IC95% 80,1; 84,2), sem diferenças por sexo, idade ou região. Maiores coberturas ocorreram nos mais ricos (84,7% versus 80,1% nos mais pobres) e nos mais escolarizados (87,3% versus 83,2% nos menos escolarizados). Menor cobertura nos indígenas (56,9% versus coberturas superiores a 80% nos demais grupos étnicos). Houve associação positiva com número de comorbidades entre homens, mas não entre mulheres. A maioria vacinou-se na rede pública (97,5%), sendo a rede privada mais utilizada na região Sul, pelos mais escolarizados e mais ricos. Conclui-se que a cobertura vacinal ficou sete pontos percentuais abaixo da meta governamental (90%), e que desigualdades devem ser revertidas em futuras campanhas.

Physical activity and antibody persistence 6 months after the second dose of CoronaVac in immunocompromised patients.

This prospective cohort study within an open-label, single-arm, phase 4 vaccination trial (clinicaltrials.gov #NCT04754698) aimed to investigate the association between physical activity and persistent anti-SARS-CoV-2 antibodies 6 months after two-dose schedule of CoronaVac in autoimmune rheumatic diseases (ARD) patients (n = 748). Persistent immunogenicity 6 months after the full-course vaccination was assessed using seroconversion rates of total anti-SARS-CoV-2 S1/S2 IgG, geometric mean titers of anti-S1/S2 IgG (GMT), and frequency of positive neutralizing antibodies (NAb). Physical activity was assessed trough questionnaire. Adjusted point estimates from logistic regression models indicated that physically active patients had greater odds of seroconversion rates (OR: 1.5 [95%CI: 1.1 to 2.1]) and NAb positivity (OR: 1.5 [95%CI: 1.0 to 2.1]), and approximately 43% greater GMT (42.8% [95%CI: 11.9 to 82.2]) than inactive ones. In conclusion, among immunocompromised patients, being physically active was associated with an increment in antibody persistence through 6 months after a full-course of an inactivated SARS-CoV-2 vaccine.

Worldwide differences in COVID-19-related mortality.

Mortality statistics due to COVID-19 worldwide are compared, by adjusting for the size of the population and the stage of the pandemic. Data from the European Centre for Disease Control and Prevention, and Our World in Data websites were used. Analyses are based on number of deaths per one million inhabitants. In order to account for the stage of the pandemic, the baseline date was defined as the day in which the 10th death was reported. The analyses included 78 countries and territories which reported 10 or more deaths by April 9. On day 10, India had 0.06 deaths per million, Belgium had 30.46 and San Marino 618.78. On day 20, India had 0.27 deaths per million, China had 0.71 and Spain 139.62. On day 30, four Asian countries had the lowest mortality figures, whereas eight European countries had the highest ones. In Italy and Spain, mortality on day 40 was greater than 250 per million, whereas in China and South Korea, mortality was below 4 per million. Mortality on day 10 was moderately correlated with life expectancy, but not with population density. Asian countries presented much lower mortality figures as compared to European ones. Life expectancy was found to be correlated with mortality.

Trends in the prevalence of COVID-19 infection in Rio Grande do Sul, Brazil: repeated serological surveys. / Evolução da prevalência de infecção por COVID-19 no Rio Grande do Sul, Brasil: inquéritos sorológicos seriados.

COVID-19, the disease produced by the virus SARS-CoV-2, has spread quickly throughout the world, leading the World Health Organization to first classify it as an international health emergency and, subsequently, declaring it pandemic. The number of confirmed cases, as April 11, surpassed 1,700,000, but this figure does not reflect the prevalence of COVID-19 in the population as, in many countries, tests are almost exclusively performed in people with symptoms, particularly severe cases. To properly assess the magnitude of the problem and to contribute to the design of evidence-based policies for fighting COVID-19, one must accurately estimate the population prevalence of infection. Our study is aimed at estimating the prevalence of infected individuals in the state of Rio Grande do Sul, Brazil, to document how fast the infection spreads, and to estimate the proportion of infected persons who present or presented symptoms, as well as the proportion of asymptomatic infections. Four repeated serological surveys will be conducted in probability samples of nine sentinel cities every two weeks. Tests will be performed in 4,500 participants in each survey, totaling18,000 interviews. Interviews and tests will be conducted at the participants' household. A rapid test for the detection of antibodies will be used; the test was validated prior to the beginning of the fieldwork.

A COVID-19 é uma doença produzida pelo vírus SARS-CoV-2. Esse vírus se espalhou rapidamente pelo mundo, o que levou a Organização Mundial da Saúde a classificar a COVID-19 como uma emergência de saúde internacional e, posteriormente, a declará-la uma pandemia. O número de casos confirmados, no dia 11 de abril de 2020, já passa de 1.700.000, porém esses dados não refletem a real prevalência de COVID-19 na população, visto que, em muitos países, os testes são quase que exclusivamente realizados em pessoas com sintomas, especialmente os mais graves. Para definir políticas de enfrentamento, é essencial dispor de dados sobre a prevalência real de infecção na população. Este estudo tem por objetivos avaliar a proporção de indivíduos já infectados pelo SARS-CoV-2 no Rio Grande do Sul, Brasil, analisar a velocidade de expansão da infecção e estimar o percentual de infectados com e sem sintomas. Serão realizados quatro inquéritos sorológicos repetidos a cada 15 dias, com amostragem probabilística de nove cidades sentinela, em todas as sub-regiões do Estado. As entrevistas e testes ocorrerão no âmbito domiciliar. Serão utilizados testes rápidos para detecção de anticorpos, validados previamente ao início da coleta de dados.

Prevalence of symptoms of COVID-19 in the state of Rio Grande do Sul: results of a population-based study with 18,000 participants

OBJECTIVE To evaluate the prevalence of reports of symptoms of COVID-19 among individuals with and without antibodies and identify those with greater capability to predict the presence of antibodies against SARS-CoV-2. METHODS The study uses data collected in phases 5 to 8 of Epicovid-19-RS. The presence of antibodies against SARS-CoV-2 was evaluated by a rapid test. The occurrence of cough, fever, palpitations, sore throat, difficulty breathing, changes in taste and smell, vomiting, diarrhea, body pain, shaking, and headache since March 2020 was also evaluated. Then, the capability to predict the evaluated symptoms concerning the presence of antibodies was calculated. RESULTS A total of 18,000 individuals were interviewed and 181 had antibodies against COVID-19 in phases 5 to 8. The proportion of asymptomatic individuals was 19.9% among participants with antibodies and 49.7% among those without antibodies. All symptoms were reported more frequently by individuals with antibodies. The division of the prevalence of symptoms among individuals with antibodies by the prevalence among individuals without antibodies showed the following prevalence ratios: for changes in smell or taste (9.1), fever (4.2), tremors (3.9), breathing difficulty (3.2) and cough (2.8 times). Anosmia and fever were the symptoms with a greater capability to predict the presence of antibodies. CONCLUSION The prevalence of symptoms was higher among individuals with antibodies against SARS-CoV-2. The proportion of asymptomatic individuals was low. Altered smell or taste and fever were the symptoms that most predict the presence of antibodies. These results can help to identify probable cases, contributing to the clinical diagnosis and screening of patients for testing and isolation guidance in positive cases, especially in scenarios of the scarcity of diagnostic COVID-19 tests.

EPICOVID19 protocol: repeated serological surveys on SARS-CoV-2 antibodies in Brazil

The first case of COVID-19 was reported in China in December 2019, and, as the virus has spread worldwide, the World Health Organization declared it a pandemic. Estimates on the number of COVID-19 cases do not reflect it real magnitude as testing is limited. Population based data on the proportion of the population with antibodies is relevant for planning public health policies. We aim to assess the prevalence of SARS-CoV-2 antibodies, presence of signs and symptoms of COVID-19, and adherence to isolation measures. A random sample comprising 133 sentinel cities from all states of the country will be selected. Three serological surveys, three weeks apart, will be conducted. The most populous municipality in each intermediate region of the country, defined by the Brazilian Institute of Geography and Statistics, was chosen as sentinel city. In each city, 25 census tracts will be selected, and 10 households will be systematically sampled in each tract, totaling 33,250 participants. In each household, one inhabitant will be randomly selected to be interviewed and tested for antibodies against SARS-CoV-2, using WONDFO SARS-CoV-2 Antibody Test. By evaluating a representative sample of Brazilian sentinel sites, this study will provide essential information for the design of health policies. Resumo O COVID-19 é causado pelo vírus SARS-CoV-2, sendo o primeiro caso relatado na China em dezembro de 2019. O vírus se espalhou pelo mundo, levando a Organização Mundial da Saúde a declarar uma pandemia. As estimativas do número de casos de COVID-19 não refletem sua magnitude real, pois os testes são limitados em muitos países. Dados populacionais sobre a proporção da população com anticorpos são relevantes para o planejamento de políticas públicas de saúde. Nosso objetivo é avaliar a prevalência de anticorpos SARS-CoV-2, a presença de sinais e de sintomas de COVID-19 e a adesão a medidas de isolamento. Uma amostra aleatória composta por 133 cidades sentinelas de todos os estados do país será selecionada. Serão realizados três levantamentos sorológicos, com três semanas de intervalo. Em cada cidade, serão selecionados 25 setores censitários e 10 famílias serão amostradas aleatoriamente em cada setor. Em cada domicílio, um habitante será selecionado aleatoriamente para ser entrevistado e testado para anticorpos contra SARS-CoV-2, usando o Teste de Anticorpo WONDFO SARS-CoV-2, que foi validado antes do trabalho de campo. Ao avaliar uma amostra representativa dos locais sentinela ao longo do tempo, este estudo fornecerá informações essenciais para o desenho de políticas de saúde.

EPICOVID19 protocol: repeated serological surveys on SARS-CoV-2 antibodies in Brazil

The first case of COVID-19 was reported in China in December 2019, and, as the virus has spread worldwide, the World Health Organization declared it a pandemic. Estimates on the number of COVID-19 cases do not reflect it real magnitude as testing is limited. Population based data on the proportion of the population with antibodies is relevant for planning public health policies. We aim to assess the prevalence of SARS-CoV-2 antibodies, presence of signs and symptoms of COVID-19, and adherence to isolation measures. A random sample comprising 133 sentinel cities from all states of the country will be selected. Three serological surveys, three weeks apart, will be conducted. The most populous municipality in each intermediate region of the country, defined by the Brazilian Institute of Geography and Statistics, was chosen as sentinel city. In each city, 25 census tracts will be selected, and 10 households will be systematically sampled in each tract, totaling 33,250 participants. In each household, one inhabitant will be randomly selected to be interviewed and tested for antibodies against SARS-CoV-2, using WONDFO SARS-CoV-2 Antibody Test. By evaluating a representative sample of Brazilian sentinel sites, this study will provide essential information for the design of health policies. Resumo O COVID-19 é causado pelo vírus SARS-CoV-2, sendo o primeiro caso relatado na China em dezembro de 2019. O vírus se espalhou pelo mundo, levando a Organização Mundial da Saúde a declarar uma pandemia. As estimativas do número de casos de COVID-19 não refletem sua magnitude real, pois os testes são limitados em muitos países. Dados populacionais sobre a proporção da população com anticorpos são relevantes para o planejamento de políticas públicas de saúde. Nosso objetivo é avaliar a prevalência de anticorpos SARS-CoV-2, a presença de sinais e de sintomas de COVID-19 e a adesão a medidas de isolamento. Uma amostra aleatória composta por 133 cidades sentinelas de todos os estados do país será selecionada. Serão realizados três levantamentos sorológicos, com três semanas de intervalo. Em cada cidade, serão selecionados 25 setores censitários e 10 famílias serão amostradas aleatoriamente em cada setor. Em cada domicílio, um habitante será selecionado aleatoriamente para ser entrevistado e testado para anticorpos contra SARS-CoV-2, usando o Teste de Anticorpo WONDFO SARS-CoV-2, que foi validado antes do trabalho de campo. Ao avaliar uma amostra representativa dos locais sentinela ao longo do tempo, este estudo fornecerá informações essenciais para o desenho de políticas de saúde.

Physical activity during the COVID-19 pandemic: a population-based cross-sectional study in a city of South Brazil. / Prática de atividade física em meio à pandemia da COVID-19: estudo de base populacional em cidade do sul do Brasil.

This study aimed to describe leisure-time physical activity (LPA) during the COVID-19 pandemic in a municipality of Rio Grande do Sul state, southern Brazil, according to gender, level of education, and adherence to social distancing. A population-based and cross-sectional descriptive study was carried out in Bagé (RS), Brazil. LPA during the pandemic, place of activity, and Physical Education professional's supervision, were described. The sample included 377 adults, and 24.4% reported LPA during the pandemic. Marked inequalities were observed. LPA prevalence among men was 20 percentage points (pp) higher than women and 40 pp higher among those with higher schooling than those with lower schooling. Among those reporting LPA, 53.5% practiced at home, and 64.8% did not report Physical Education professional supervision. No differences were observed between LPA and level of social distancing. Besides the recurrent discourse that people should include physical activity in the pandemic context, in the light of the marked inequalities observed, this study addressed sociocultural aspects and emphasized that LPA promotion initiatives require humanized approaches that consider the unequal living conditions of Brazilians.

O objetivo deste estudo foi descrever a prática de atividade física de lazer (AFL) em meio a pandemia do COVID-19 em cidade do Rio Grande do Sul, avaliando desigualdades entre os sexos e grupos de escolaridade e diferenças de acordo com o nível de distanciamento social. Trata-se de um estudo descritivo de corte transversal e base populacional com adultos no município de Bagé. Foram descritas a prática de AFL durante a pandemia, local de prática e orientação profissional. Na amostra de 377 adultos, 24,4% relataram prática de AFL durante a pandemia. Foram observadas marcantes desigualdades; a prevalência de AFL entre homens foi 20 pontos percentuais (pp) maior do que entre as mulheres, e 40 pp maior no grupo de maior escolaridade comparado ao grupo de menor escolaridade. Entre os que praticaram AFL durante a pandemia, 53,5% relataram a prática em casa e 64,8% não teve auxílio de um profissional de Educação Física. Não houve diferença na AFL de acordo com níveis de distanciamento social. Para além da reprodução do discurso de que as pessoas devam praticar atividade física no contexto da pandemia, este estudo buscou discutir aspectos socioculturais, enfatizando, à luz das desigualdades observadas, que a promoção de AFL necessita de olhar humanizado e atento à vida desigual das pessoas no Brasil.

EPICOVID19 protocol: repeated serological surveys on SARS-CoV-2 antibodies in Brazil.

The first case of COVID-19 was reported in China in December 2019, and, as the virus has spread worldwide, the World Health Organization declared it a pandemic. Estimates on the number of COVID-19 cases do not reflect it real magnitude as testing is limited. Population based data on the proportion of the population with antibodies is relevant for planning public health policies. We aim to assess the prevalence of SARS-CoV-2 antibodies, presence of signs and symptoms of COVID-19, and adherence to isolation measures. A random sample comprising 133 sentinel cities from all states of the country will be selected. Three serological surveys, three weeks apart, will be conducted. The most populous municipality in each intermediate region of the country, defined by the Brazilian Institute of Geography and Statistics, was chosen as sentinel city. In each city, 25 census tracts will be selected, and 10 households will be systematically sampled in each tract, totaling 33,250 participants. In each household, one inhabitant will be randomly selected to be interviewed and tested for antibodies against SARS-CoV-2, using WONDFO SARS-CoV-2 Antibody Test. By evaluating a representative sample of Brazilian sentinel sites, this study will provide essential information for the design of health policies.

Evolução da prevalência de infecção por COVID-19 no Rio Grande do Sul, Brasil: inquéritos sorológicos seriados

COVID-19, the disease produced by the virus SARS-CoV-2, has spread quickly throughout the world, leading the World Health Organization to first classify it as an international health emergency and, subsequently, declaring it pandemic. The number of confirmed cases, as April 11, surpassed 1,700,000, but this figure does not reflect the prevalence of COVID-19 in the population as, in many countries, tests are almost exclusively performed in people with symptoms, particularly severe cases. To properly assess the magnitude of the problem and to contribute to the design of evidence-based policies for fighting COVID-19, one must accurately estimate the population prevalence of infection. Our study is aimed at estimating the prevalence of infected individuals in the state of Rio Grande do Sul, Brazil, to document how fast the infection spreads, and to estimate the proportion of infected persons who present or presented symptoms, as well as the proportion of asymptomatic infections. Four repeated serological surveys will be conducted in probability samples of nine sentinel cities every two weeks. Tests will be performed in 4,500 participants in each survey, totaling18,000 interviews. Interviews and tests will be conducted at the participants'household. A rapid test for the detection of antibodies will be used;the test was validated prior to the beginning of the fieldwork.