Resumo Objetivo sistematizar a experiência do estado do Espírito Santo no enfrentamento da COVID-19, baseando-se na vivência enquanto equipe gestora e operacional da vigilância epidemiológica estadual, no período de março de 2020 a março de 2021. Método trata-se de um estudo descritivo, do tipo relato de experiência. Os dados foram obtidos por meio de canais oficiais, alimentados por um sistema de notificação em saúde adotado pelo estado do Espírito Santo e por planilhas enviadas diariamente pelos estabelecimentos de saúde. Resultados observou-se que a aproximação entre a gestão estadual e municipal facilitou a implementação das orientações instituídas e a consolidação das medidas em todo território capixaba, vale salientar que outros órgãos governamentais auxiliaram nesse processo. Conclusão os desdobramentos exigidos na gestão da pandemia evidenciam a importância da Vigilância em Saúde e o papel estratégico da Vigilância Epidemiológica no controle da pandemia, e na tomada de decisão e direcionamento de recursos humanos e financeiros.

Objective: To analyze the survival of patients hospitalized with COVID-19 and its associated factors. Methods: Retrospective study of survival analysis in individuals notified and hospitalized with COVID-19 in the state of Espírito Santo, Brazil. As data source, the reports of hospitalized patients in the period from 1 March 2020, to 31 July 2021 were used. The Cox regression analysis plus the proportional risk assessment (assumption) were used to compare hospitalization time until the occurrence of the event (death from COVID-19) associated with possible risk factors. Results: The sample comprised 9806 notifications of cases, with the occurrence of 1885 deaths from the disease (19.22%). The mean age of the group was 58 years (SD ± 18.3) and the mean hospital length of stay was 10.5 days (SD ± 11.8). The factors that presented a higher risk of death from COVID-19, associated with a lower survival rate, were non-work-related infection (HR = 4.33; p < 0.001), age group 60–79 years (HR: 1.62; p < 0.001) and 80 years or older (HR = 2.56; p < 0.001), presence of chronic cardiovascular disease (HR = 1.18; p = 0.028), chronic kidney disease (HR = 1.5; p = 0.004), smoking (HR = 1.41; p < 0.001), obesity (HR = 2.28; p < 0.001), neoplasms (HR = 1.81; p < 0.001) and chronic neurological disease (HR = 1.68; p < 0.001). Conclusion: It was concluded that non-work-related infection, age group above or equal to 60 years, presence of chronic cardiovascular disease, chronic kidney disease, chronic neurological disease, smoking, obesity and neoplasms were associated with a higher risk of death, and, therefore, a lower survival in Brazilian patients hospitalized with COVID-19. The identification of priority groups is crucial for Health Surveillance and can guide prevention, control, monitoring, and intervention strategies against the new coronavirus.

Objective: To analyze COVID-19 deaths in public hospitals in a Brazilian state, stratified by the three waves of the pandemic, and to test their association with socio-clinical variables. Methods: Observational analytical study, where 5436 deaths by COVID-19 occurred in hospitals of the public network of Espírito Santo, between 1 April 2020, and 31 August 2021, stratified by the three waves of the pandemic, were analyzed. For the bivariate analyses, the Pearson’s chi-square, Fisher’s Exact or Friedman’s tests were performed depending on the Gaussian or non-Gaussian distribution of the data. For the relationship between time from diagnosis to death in each wave, quantile regression was used, and multinomial regression for multiple analyses. Results: The mean time between diagnosis and death was 18.5 days in the first wave, 20.5 days in the second wave, and 21.4 days in the third wave. In the first wave, deaths in public hospitals were associated with the following variables: immunodeficiency, obesity, neoplasia, and origin. In the second wave, deaths were associated with education, O2 saturation < 95%, chronic neurological disease, and origin. In the third wave, deaths were associated with race/color, education, difficulty breathing, nasal or conjunctival congestion, irritability or confusion, adynamia or weakness, chronic cardiovascular disease, neoplasms, and diabetes mellitus. Origin was associated with the outcome in the three waves of the pandemic, in the same way that education was in the second and third waves (p < 0.05). Conclusion: The time interval between diagnosis and death can be impacted by several factors, such as: plasticity of the health system, improved clinical management of patients, and the start of vaccination at the end of January 2021, which covered the age group with the higher incidence of deaths. The deaths occurring in public hospitals were associated with socio-clinical characteristics.

Health information is particularly essential in times of pandemics in which rapid response is crucial for political and stakeholder decision-making processes, and therefore the availability of data as well as its quality analysis are necessary. This study aimed to describe the completeness and quality of the e-Sistema Único de Saúde (SUS) Health Surveillance database (SUS Vigilância em Saúde) of the state of Espírito Santo, Brazil, from the notification of deaths from corana virus disease 2019 (COVID-19) from January 2020 to June 2021. A descriptive population-based register study was conducted from the analysis of the completeness of secondary data from the record of deaths from COVID-19, retrieved from the e-SUS Vigilância em Saúde (Health Surveillance) (VS) database of the state of Espírito Santo, Brazil, from January 2020 to June 2021. A total of 11,359 death records from COVID-19 via e-SUS VS in the state of Espírito Santo, Brazil, were evaluated. The score used to assess incompleteness was the 1 proposed by Romero and Cunha which classifies as excellent (when < 5%), good (between 5% and 10%), regular (between 10% and 20%), poor (between 20% and 50%), and very poor (when > 50%), according to the percentage of the absence of information. Descriptive statistical analyses were conducted in the Stata program, version 15.1. “Case identification” variables, and “condition” variables were classified as excellent completeness. Among the evolution variables, only “hospitalization” was classified as regular. Among the laboratory variables, only the polymerase chain reaction presented excellent completeness, while the “rapid test” and “serologies for immunoglobulin G, and immunoglobulin M” variables were classified as good completeness. It is concluded that most of the variables available in e-SUS VS of the state of Espírito Santo, Brazil, of notification of deaths from COVID-19 in 2020 presented excellent completeness, confirming the excellent quality of the state database.

This is a case report about the only confirmed death in the State of Espírito Santo due to acute Chagas-related myocarditis in a 2-year-old child living in the rural area of Guarapari. He presented with fever, abdominal pain, headache, and vomiting, resulting in death 21 days after the presentation of symptoms. Amastigote forms were observed in the myocardial fibers in histological examination. The boy's mother had reported finding "kissing bugs" in the child's hand. This case highlights the need to include Chagas disease in the differential diagnosis in health care to provide early treatment and avoid death in affected individuals.

The pandemic has been characterized by several waves defined by viral strains responsible for the predominance of infections. We aimed to analyze the mean length of hospital stay for patients with COVID-19 during the first three waves of the pandemic and its distribution according to sociodemographic and clinical variables. This retrospective study used the notifications of patients hospitalized for COVID-19 in a Brazilian state during the period of the three waves of the disease as the data source. There were 13,910 hospitalizations for confirmed COVID-19 cases. The first wave was the longest, with 4,101 (29.5%) hospitalizations, while the third, although shorter, had a higher number of hospitalized patients (N=6,960). The average length of stay in the hospital was associated with age groups up to 59 years old and from 60 to 79 y.o., high school and higher education, pregnant women (P=0,036) white and non-white race, female and male sex, and residents of the urban area (P < 0.05). Regarding the presence of comorbidities, there was a statistically significant difference in the mean number of days of hospitalization among patients with chronic cardiovascular disease, diabetes mellitus, and obesity (P< 0.05). In conclusion, the COVID-19 pandemic has been distinctly revealed among the waves.

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Introdução: O adequado e sistemático acompanhamento dos casos de COVID-19 ocorre por meio da utilização de um sistema de informação qualificado. A notificação dos casos de COVID-19 no Espírito Santo se deu por um sistema próprio de informação em saúde instituído em janeiro de 2020, o e-SUS Vigilância em Saúde (e-SUS VS). Por ele foi possível monitorar os casos notificados mais rapidamente assim como os grupos de risco, como as gestantes que demonstraram alta incidência e mortalidade materna por essa doença. Objetivo: Descrever a qualidade e oportunidade dos dados de notificação de COVID-19 em gestantes, obtidos através do novo sistema de informação e-SUS VS implantado no Espírito Santo. Métodos: Estudo descritivo utilizando-se de dados obtidos através do e-SUS VS. A completude no preenchimento da notificação foi classificada como excelente (menos de 5% de preenchimento incompleto), bom (5% a 10%), regular (10% a 20%), ruim (20% a 50%) ou muito ruim (50% ou mais). A oportunidade foi definida pela diferença entre as datas do início de sintomas e a notificação. Resultados: Identificou-se 8.989 notificações em gestantes. A notificação para COVID-19 do e-SUS VS possui 59 variáveis, a completude de 53 (89,83%) variáveis foi excelente, boa e regular em 1 (1,70%), e ruim em 4 (6,77%). A oportunidade obteve média de 3,37 dias. Conclusão: A qualidade dos dados do e-SUS VS foi excelente, tornando-o uma importante fonte de informações para subsidiar ações e de aprimoramento de políticas públicas voltadas a esse grupo de risco.