BACKGROUND: COVID-19 is affecting almost the entire world, causing more than four hundred thousand deaths and undermining the health care systems, as much as the economy, of the afflicted countries. The strategies for prevention depend on largely lacking information, as infection prevalence and virus pathogenicity. This study aimed to determine the prevalence, the pathogenicity, and the speed of infection spreading in a large population in Brazil. MATERIALS AND METHODS: This is a serial cross-sectional study designed on a population basis and structured over houses as the sampling units. The sampling consisted of four visits at 15 days intervals in randomly selected census-designated sectors of the State major municipalities (reference municipalities) and two visits at 30 days intervals in smaller municipalities of the same regions of those of reference. At each visit, the investigators sampled houses and sampled one individual in each house for data collection. After the informed consent, the investigators performed a rapid antibody detection test (Celer Technology, Inc) and applied a questionnaire containing clinical and demographic questions. RESULTS: From May 13th to 15th, the investigators performed 6,393 rapid tests in 4,612 individuals of the reference municipalities, 1,163 individuals of the smaller municipalities, and 166 contacts of the positive individuals. Ninety-seven dwellers were positive in the reference municipalities, giving a prevalence of 2.1% (CI 95%: 1.67-2.52%). In the smaller municipalities, the figure was 0.26% (CI 95%: 0.05%-0.75%) (three positives). There was an association of the positive result with female sex (p = 0.013) and houses with five dwellers or more (p = 0.003). Seventy-eight positive individuals reported symptoms in the previous 15 days (80.4%), being anosmia (45.4%), cough (40.2%), and myalgia (38.1%) the more frequent. About one-third of them reported fever (28.9%). CONCLUSIONS: The results reveal a still small prevalence of infection in the study area, despite the significant number of sick people overloading the health system. The figures indicate an important underreporting in the area and a frequency that still can grow, making necessary public health actions for the containment of the transmission.

Resumo: O projeto Palmas Livre da Hanseníase foi implementado para o incremento dos indicadores e o enfrentamento da doença, visto que a capital do Tocantins é a mais hiperendêmica do país. Este estudo mede o impacto da intervenção do projeto por meio da análise da tendência de indicadores prioritários em Palmas, 2002-2016. Baseia-se em análise de dados advindos do Sistema de Informação de Agravos de Notificação (SINAN) e de relatórios de capacitações aplicadas com metodologia de problematização. Os indicadores dos casos novos de hanseníase residentes em Palmas foram investigados, e suas tendências foram identificadas por análise de regressão joinpoint para avaliação dos resultados. No ano de implementação do projeto de intervenção (2016), o coeficiente de detecção de casos novos na população geral foi de 236,3/100 mil habitantes, e esse indicador apresentava decréscimo significativo de -7,5% no período de 2002 a 2014. Nos anos entre 2014 e 2016, houve aumento significativo de 104,6% para a detecção geral. O coeficiente de detecção em menores de 15 anos também apresentava queda de -4,6%, mas nos anos de 2014, 2015 e 2016, houve aumento de 111,1%, juntamente com os coeficientes de detecção de casos com grau 0, 1 e 2, com 59,3%, 225,2% e 121,7%, respectivamente. A proporção de casos detectados por avaliação de contatos teve acréscimo significativo de 201,1% no período de 2014 a 2016. Os dados comprovaram a efetividade e potencialidade da estratégia de intervenção do projeto para as ações de diagnóstico e controle da hanseníase em Palmas. Trouxe evidências de que a agilidade diagnóstica dos serviços de atenção primária resulta em indicadores que refletem a incidência real de casos.

Lyme disease is an underdiagnosed zoonosis in Brazil. There are no cases registered in the state of Tocantins, the newest Brazilian state. The cases of three patients in contact with rural areas in three Tocantins' districts are herein described, and the Brazilian literature is reviewed.

Resumo Objetivo: Analisar aspectos sociodemográficos e clínicos autorreferidos entre indivíduos de 2 a 22 anos de idade e possíveis associações com infecção por SARS-CoV-2 no Espírito Santo, Brasil. Métodos: Estudo transversal seriado de base populacional, realizado de maio a junho de 2020. Avaliou-se o percentual de positividade para COVID-19, por teste sorológico, e os fatores associados pelo teste qui-quadrado de Pearson (nível de significância de 5%). Resultados: Entre 1.693 indivíduos de 2 a 22 anos, 6,1% apresentaram teste positivo para COVID-19; destes, 35,5% não apresentaram nenhum sintoma. Foram identificadas diferenças entre os soropositivos e soronegativos quanto ao número de sintomas (p-valor=0,001). A tosse foi relatada por 40,4% dos indivíduos soropositivos. Apenas 14,3% procuraram unidades de saúde, sendo 29,8% entre os soropositivos e 13,3% entre os soronegativos (p-valor=0,001). Conclusão: O percentual de indivíduos assintomáticos pode impactar a cadeia de transmissão da COVID-19 nas escolas, e impulsionar surtos da doença no mesmo ambiente escolar.

Objectives: to estimate the prevalence of SARS-CoV-2 infection in residents of the Greater Vitória region living in subnormal and non-subnormal agglomerates, and to compare sociodemographic and clinical characteristics of total residents (infected and not infected with SARS-CoV-2) between them. Methods: Population-based prevalence study conducted by serological testing in 2020, with a study unit in households in Greater Vitória, grouped into census tracts classified as sub-normal agglomerates and non-sub-normal agglomerates. The two groups were compared in terms of prevalence and associated factors. The significance level adopted was 5%. Results: The prevalence found in the sub-normal clusters was 12.05% (95%CI 9.59–14.50), and in the non-sub-normal clusters 10.23% (95%CI 7.97–12.50) this difference was not statistically significant (p = 0.273). Comparing the sociodemographic characteristics, more people who declare themselves to be of mixed race were found in the sub-normal clusters, a higher percentage of illiterates and people with only elementary education, greater number of residents per household, longer stay in public transportation, sharing a bathroom with another household, fewer bedrooms per residence and higher frequency of irregular water supply when compared to non-sub-normal clusters (p < 0.05). Conclusions: The epidemiological characteristics of sub-normal clusters’ residents show the social inequalities that can hinder control measures in a pandemic situation.