ABSTRACT The Verbal Autopsy (VA) is a questionnaire about the circumstances surrounding a death. It was widely used in Brazil to assist in postmortem diagnoses and investigate excess mortality during the Coronavirus Disease 2019 (COVID-19) pandemic. This study aimed to determine the accuracy of investigating acute respiratory distress syndrome (ARDS) using VA. This is a cross-sectional study with prospective data collected from January 2020 to August 2021 at the Death Verification Service of Sao Luis city, Brazil. VA was performed for suspected COVID-19 deaths, and one day of the week was randomly chosen to collect samples from patients without suspected COVID-19. Two swabs were collected after death and subjected to reverse transcription-polymerase chain reaction (RT-PCR) for SARS-CoV-2 detection. Of the 250 cases included, the VA questionnaire identified COVID-19-related ARDS in 67.2% (52.98% were positive for COVID-19). The sensitivity of the VA questionnaire was 0.53 (0.45–0.61), the specificity was 0.75 (0.64–0.84), the positive predictive value was 0.81 (0.72–0.88), and the negative predictive value was 0.44 (0.36–0.53). The VA had a lower-than-expected accuracy for detecting COVID-19 deaths; however, because it is an easily accessible and cost-effective tool, it can be combined with more accurate methods to improve its performance. (VA 201 COVID19 COVID 19 (COVID-19 pandemic (ARDS crosssectional cross sectional 202 city COVID-1 deaths COVID19. 19. transcriptionpolymerase transcription polymerase RTPCR RT PCR (RT-PCR SARSCoV2 SARSCoV SARS CoV 2 SARS-CoV- detection 25 included COVID19related COVIDrelated related 672 67 67.2 52.98% 5298 52 98 (52.98 . COVID-19) 053 0 53 0.5 0.45–0.61, 045061 0.45–0.61 , 45 61 (0.45–0.61) 075 75 0.7 0.64–0.84, 064084 0.64–0.84 64 84 (0.64–0.84) 081 81 0.8 0.72–0.88, 072088 0.72–0.88 72 88 (0.72–0.88) 044 44 0.4 0.36–0.53. 036053 0.36–0.53 36 (0.36–0.53) lowerthanexpected lower than expected however costeffective cost effective tool performance 20 COVID1 1 (COVID-1 COVID- SARS-CoV 6 67. 52.98 529 5 9 (52.9 05 0. 04506 0.45–0.6 4 (0.45–0.61 07 7 06408 0.64–0.8 8 (0.64–0.84 08 07208 0.72–0.8 (0.72–0.88 04 03605 0.36–0.5 3 (0.36–0.53 (COVID- 52.9 (52. 0450 0.45–0. (0.45–0.6 0640 0.64–0. (0.64–0.8 0720 0.72–0. (0.72–0.8 0360 0.36–0. (0.36–0.5 (COVID 52. (52 045 0.45–0 (0.45–0. 064 0.64–0 (0.64–0. 072 0.72–0 (0.72–0. 036 0.36–0 (0.36–0. (5 0.45– (0.45–0 06 0.64– (0.64–0 0.72– (0.72–0 03 0.36– (0.36–0 ( 0.45 (0.45– 0.64 (0.64– 0.72 (0.72– 0.36 (0.36– (0.45 0.6 (0.64 (0.72 0.3 (0.36 (0.4 (0.6 (0.7 (0.3 (0. (0

Pouco se sabe sobre a evolução do perímetro cefálico (PC) em crianças com síndrome congênita associada à infecção pelo vírus Zika (SCZ) em acompanhamentos contínuos. Este estudo buscou avaliar o crescimento do PC em crianças com SCZ nos primeiros três anos de suas vidas e identificar os fatores associados a ele. Os dados do PC ao nascimento e obtidos em consultas neuropediátricas de 74 crianças com SCZ foram coletados no Cartão da Criança, nos laudos paternos e em seus prontuários. Os preditores de escore-z para PC foram investigados utilizando-se diferentes modelos de efeitos mistos. O critério de informação de Akaike foi utilizado para selecionar os modelos usados. O escore-z de PC diminuiu de -2,7 ± 1,6 ao nascimento para -5,5 ± 2,2 aos 3 meses de idade, mas permaneceu relativamente estável desde então. No modelo ajustado selecionado, a presença de atrofia parênquimal cerebral grave e sintomas maternos de infecção no primeiro trimestre de sua gravidez estiveram associados a uma redução mais acentuada no escore-z de PC nos primeiros três anos de vida dos participantes. A diminuição do escore-z de PC em crianças com SCZ nos primeiros 3 meses de sua vida monstra o potencial reduzido de crescimento e desenvolvimento do sistema nervoso central dessas crianças. O prognóstico de crescimento do perímetro cefálico nos primeiros 3 anos de vida é pior quando a infecção materna ocorreu no primeiro trimestre gestacional e em crianças que tiveram atrofia parênquimal grave.

Little is known about the evolution of head circumference (HC) in children with congenital Zika syndrome (CZS). This study aims to evaluate HC growth in children with CZS in the first three years of life and identify associated factors. HC data obtained at birth and in neuropediatric consultations from 74 children with CZS were collected from the Child’s Health Handbook, parents’ reports, and medical records. Predictors of HC z-score were investigated using different mixed-effects models; Akaike’s information criterion was used for model selection. The HC z-score decreased from -2.7 ± 1.6 at birth to -5.5 ± 2.2 at 3 months of age, remaining relatively stable thereafter. In the selected adjusted model, the presence of severe brain parenchymal atrophy and maternal symptoms of infection in the first trimester of pregnancy were associated with a more pronounced reduction in the HC z-score in the first three years of life. The decrease of HC z-score in CZS children over the first three months demonstrated a reduced potential for growth and development of the central nervous system of these children. The prognosis of head growth in the first 3 years of life is worse when maternal infection occurs in the first gestational trimester and in children who have severe brain parenchymal atrophy.

Se conoce poco sobre la evolución del perímetro cefálico (PC) en niños con síndrome de Zika congénito (SZC) en los seguimientos continuos. El objetivo del estudio fue evaluar el crecimiento del PC en niños con SZC en los primeros 3 años de vida e identificar los factores asociados. Se recogieron datos del PC al nacimiento y obtenidos en las consultas de neuropediatría de 74 niños con SZC a partir de la Tarjeta del Niño, los informes de los padres y los registros médicos. Se investigaron los predictores de la puntuación Z del PC mediante diferentes modelos de efectos mixtos; se utilizó el criterio de información de Akaike para la selección del modelo. La puntuación Z del PC disminuyó de -2,7 ± 1,6 al nacer a -5,5 ± 2,2 a los 3 meses de edad, pero a partir de entonces se mantuvo relativamente estable. En el modelo ajustado seleccionado, la presencia de atrofia grave del parénquima cerebral y los síntomas maternos de infección en el primer trimestre del embarazo se asociaron con una reducción más pronunciada de la puntuación Z del PC en los primeros 3 años de vida. La disminución de la puntuación Z del PC en los niños con SZC durante los primeros 3 meses demuestra el menor potencial de crecimiento y desarrollo del sistema nervioso central de estos niños. El pronóstico del crecimiento de la cabeza en los primeros 3 años de vida es peor cuando la infección materna se produjo en el primer trimestre gestacional y en los niños que tenían una atrofia grave del parénquima cerebral.

Little is known about the evolution of head circumference (HC) in children with congenital Zika syndrome (CZS). This study aims to evaluate HC growth in children with CZS in the first three years of life and identify associated factors. HC data obtained at birth and in neuropediatric consultations from 74 children with CZS were collected from the Child’s Health Handbook, parents’ reports, and medical records. Predictors of HC z-score were investigated using different mixed-effects models; Akaike’s information criterion was used for model selection. The HC z-score decreased from -2.7 ± 1.6 at birth to -5.5 ± 2.2 at 3 months of age, remaining relatively stable thereafter. In the selected adjusted model, the presence of severe brain parenchymal atrophy and maternal symptoms of infection in the first trimester of pregnancy were associated with a more pronounced reduction in the HC z-score in the first three years of life. The decrease of HC z-score in CZS children over the first three months demonstrated a reduced potential for growth and development of the central nervous system of these children. The prognosis of head growth in the first 3 years of life is worse when maternal infection occurs in the first gestational trimester and in children who have severe brain parenchymal atrophy.

Pouco se sabe sobre a evolução do perímetro cefálico (PC) em crianças com síndrome congênita associada à infecção pelo vírus Zika (SCZ) em acompanhamentos contínuos. Este estudo buscou avaliar o crescimento do PC em crianças com SCZ nos primeiros três anos de suas vidas e identificar os fatores associados a ele. Os dados do PC ao nascimento e obtidos em consultas neuropediátricas de 74 crianças com SCZ foram coletados no Cartão da Criança, nos laudos paternos e em seus prontuários. Os preditores de escore-z para PC foram investigados utilizando-se diferentes modelos de efeitos mistos. O critério de informação de Akaike foi utilizado para selecionar os modelos usados. O escore-z de PC diminuiu de -2,7 ± 1,6 ao nascimento para -5,5 ± 2,2 aos 3 meses de idade, mas permaneceu relativamente estável desde então. No modelo ajustado selecionado, a presença de atrofia parênquimal cerebral grave e sintomas maternos de infecção no primeiro trimestre de sua gravidez estiveram associados a uma redução mais acentuada no escore-z de PC nos primeiros três anos de vida dos participantes. A diminuição do escore-z de PC em crianças com SCZ nos primeiros 3 meses de sua vida monstra o potencial reduzido de crescimento e desenvolvimento do sistema nervoso central dessas crianças. O prognóstico de crescimento do perímetro cefálico nos primeiros 3 anos de vida é pior quando a infecção materna ocorreu no primeiro trimestre gestacional e em crianças que tiveram atrofia parênquimal grave.

Se conoce poco sobre la evolución del perímetro cefálico (PC) en niños con síndrome de Zika congénito (SZC) en los seguimientos continuos. El objetivo del estudio fue evaluar el crecimiento del PC en niños con SZC en los primeros 3 años de vida e identificar los factores asociados. Se recogieron datos del PC al nacimiento y obtenidos en las consultas de neuropediatría de 74 niños con SZC a partir de la Tarjeta del Niño, los informes de los padres y los registros médicos. Se investigaron los predictores de la puntuación Z del PC mediante diferentes modelos de efectos mixtos; se utilizó el criterio de información de Akaike para la selección del modelo. La puntuación Z del PC disminuyó de -2,7 ± 1,6 al nacer a -5,5 ± 2,2 a los 3 meses de edad, pero a partir de entonces se mantuvo relativamente estable. En el modelo ajustado seleccionado, la presencia de atrofia grave del parénquima cerebral y los síntomas maternos de infección en el primer trimestre del embarazo se asociaron con una reducción más pronunciada de la puntuación Z del PC en los primeros 3 años de vida. La disminución de la puntuación Z del PC en los niños con SZC durante los primeros 3 meses demuestra el menor potencial de crecimiento y desarrollo del sistema nervioso central de estos niños. El pronóstico del crecimiento de la cabeza en los primeros 3 años de vida es peor cuando la infección materna se produjo en el primer trimestre gestacional y en los niños que tenían una atrofia grave del parénquima cerebral.

O estudo teve como objetivos, descrever o atraso na notificação de óbitos por COVID-19 na cidade de São Luís, Maranhão, Brasil, e demonstrar o impacto sobre o monitoramento oportuno e modelagem da pandemia. O estudo teve como objetivo secundário determinar a medida em que a nowcasting é capaz de diminuir a defasagem na notificação de óbitos. Analisamos os dados de mortalidade por COVID-19 registrados diariamente no Boletim Epidemiológico da Secretaria de Estado da Saúde do Maranhão e calculamos o atraso na notificação entre 23 de março e 29 de agosto de 2020. Para ilustrar o impacto do atraso na notificação de óbitos e testar a efetividade de uma nowcasting bayesiana para melhorar a qualidade dos dados, ajustamos um modelo hierárquico bayesiano semi-mecanístico. Apenas 17,8% dos óbitos foram notificados sem atraso ou no dia seguinte, enquanto 40,5% foram atrasados em mais de 30 dias. Devido ao atraso na notificação, houve uma subestimação inicial nos óbitos. Entre 7 de junho e 29 de agosto, 644 óbitos foram notificados, mas apenas 116 mortes ocorreram nesse período. O uso da técnica de nowcasting bayesiana melhorou parcialmente a qualidade dos dados de mortalidade no pico da epidemia, apresentando estimativas mais ajustadas ao cenário observado na cidade, mas não se mostrou útil quase dois meses depois do pico. O atraso na notificação de óbitos pode interferir diretamente nas decisões assertivas e oportunas sobre o combate à pandemia da COVID-19. Portanto, o sistema brasileiro de vigilância epidemiológica deve ser revisto urgentemente, e o registro da data do óbito deve ser obrigatório. A técnica de nowcasting mostrou ser parcialmente eficaz na melhoria dos dados de mortalidade no auge da pandemia, mas não depois.

This study describes the COVID-19 death reporting delay in the city of São Luís, Maranhão State, Brazil, and shows its impact on timely monitoring and modeling of the COVID-19 pandemic, while seeking to ascertain how nowcasting can improve death reporting delay. We analyzed COVID-19 death data reported daily in the Epidemiological Bulletin of the State Health Secretariat of Maranhão and calculated the reporting delay from March 23 to August 29, 2020. A semi-mechanistic Bayesian hierarchical model was fitted to illustrate the impact of death reporting delay and test the effectiveness of a Bayesian Nowcasting in improving data quality. Only 17.8% of deaths were reported without delay or the day after, while 40.5% were reported more than 30 days late. Following an initial underestimation due to reporting delay, 644 deaths were reported from June 7 to August 29, although only 116 deaths occurred during this period. Using the Bayesian nowcasting technique partially improved the quality of mortality data during the peak of the pandemic, providing estimates that better matched the observed scenario in the city, becoming unusable nearly two months after the peak. As delay in death reporting can directly interfere with assertive and timely decision-making regarding the COVID-19 pandemic, the Brazilian epidemiological surveillance system must be urgently revised and notifying the date of death must be mandatory. Nowcasting has proven somewhat effective in improving the quality of mortality data, but only at the peak of the pandemic.

La propuesta de este estudio es describir la demora en la notificación de muertes por COVID-19, en la ciudad São Luís, Maranhão, Brasil, y demostrar su impacto en el seguimiento puntual, así como en el modelaje de la pandemia de COVID-19. Un objetivo secundario fue confirmar el alcance, donde la previsión inmediata es capaz de mejorar el retraso en la notificación de las muertes. Analizamos los datos de muertes por COVID-19 diariamente en el Boletín Epidemiológico de la Secretaría de Estado de la Salud de Maranhão y calculamos los atrasos notificados desde el 23 de marzo al 29 de agosto, 2020. Con el fin de ilustrar el impacto del retraso en la notificación de muertes, y para probar la efectividad de la predicción inmediata bayesiana en la mejora de los datos de calidad, ajustamos un modelo jerárquico bayesiano semi-mecanicista. Solo un 17.8% de las muertes se notificaron sin atrasos o el día después, mientras que un 40.5% se vieron retrasadas durante más de 30 días. Debido a la demora informada, se produjo una subestimación inicial de muertes. No obstante, desde el 7 de junio al 29 de agosto, se informó de 644 muertes, pero solamente 116 muertes se produjeron durante este periodo. El uso de la técnica de predicción inmediata bayesiana mejoró parcialmente la calidad de la información de mortalidad durante el pico de la epidemia, presentando estimaciones que se ajustan mejor al escenario observado en la ciudad, pero no fue útil casi 2 meses después del pico. El retraso en la notificación de muertes podría interferir directamente en la toma de decisiones asertivas y puntuales, respecto a la pandemia de COVID-19. Por consiguiente, se debe revisar urgentemente el sistema brasileño de vigilancia epidemiológica y la notificación de la fecha de muerte debería ser obligatoria. La técnica de predicción inmediata ha demostrado ser bastante efectiva para mejorar la calidad de los datos de mortalidad solamente en el pico pandémico, pero no después.

O estudo teve como objetivos, descrever o atraso na notificação de óbitos por COVID-19 na cidade de São Luís, Maranhão, Brasil, e demonstrar o impacto sobre o monitoramento oportuno e modelagem da pandemia. O estudo teve como objetivo secundário determinar a medida em que a nowcasting é capaz de diminuir a defasagem na notificação de óbitos. Analisamos os dados de mortalidade por COVID-19 registrados diariamente no Boletim Epidemiológico da Secretaria de Estado da Saúde do Maranhão e calculamos o atraso na notificação entre 23 de março e 29 de agosto de 2020. Para ilustrar o impacto do atraso na notificação de óbitos e testar a efetividade de uma nowcasting bayesiana para melhorar a qualidade dos dados, ajustamos um modelo hierárquico bayesiano semi-mecanístico. Apenas 17,8% dos óbitos foram notificados sem atraso ou no dia seguinte, enquanto 40,5% foram atrasados em mais de 30 dias. Devido ao atraso na notificação, houve uma subestimação inicial nos óbitos. Entre 7 de junho e 29 de agosto, 644 óbitos foram notificados, mas apenas 116 mortes ocorreram nesse período. O uso da técnica de nowcasting bayesiana melhorou parcialmente a qualidade dos dados de mortalidade no pico da epidemia, apresentando estimativas mais ajustadas ao cenário observado na cidade, mas não se mostrou útil quase dois meses depois do pico. O atraso na notificação de óbitos pode interferir diretamente nas decisões assertivas e oportunas sobre o combate à pandemia da COVID-19. Portanto, o sistema brasileiro de vigilância epidemiológica deve ser revisto urgentemente, e o registro da data do óbito deve ser obrigatório. A técnica de nowcasting mostrou ser parcialmente eficaz na melhoria dos dados de mortalidade no auge da pandemia, mas não depois.

This study describes the COVID-19 death reporting delay in the city of São Luís, Maranhão State, Brazil, and shows its impact on timely monitoring and modeling of the COVID-19 pandemic, while seeking to ascertain how nowcasting can improve death reporting delay. We analyzed COVID-19 death data reported daily in the Epidemiological Bulletin of the State Health Secretariat of Maranhão and calculated the reporting delay from March 23 to August 29, 2020. A semi-mechanistic Bayesian hierarchical model was fitted to illustrate the impact of death reporting delay and test the effectiveness of a Bayesian Nowcasting in improving data quality. Only 17.8% of deaths were reported without delay or the day after, while 40.5% were reported more than 30 days late. Following an initial underestimation due to reporting delay, 644 deaths were reported from June 7 to August 29, although only 116 deaths occurred during this period. Using the Bayesian nowcasting technique partially improved the quality of mortality data during the peak of the pandemic, providing estimates that better matched the observed scenario in the city, becoming unusable nearly two months after the peak. As delay in death reporting can directly interfere with assertive and timely decision-making regarding the COVID-19 pandemic, the Brazilian epidemiological surveillance system must be urgently revised and notifying the date of death must be mandatory. Nowcasting has proven somewhat effective in improving the quality of mortality data, but only at the peak of the pandemic.

La propuesta de este estudio es describir la demora en la notificación de muertes por COVID-19, en la ciudad São Luís, Maranhão, Brasil, y demostrar su impacto en el seguimiento puntual, así como en el modelaje de la pandemia de COVID-19. Un objetivo secundario fue confirmar el alcance, donde la previsión inmediata es capaz de mejorar el retraso en la notificación de las muertes. Analizamos los datos de muertes por COVID-19 diariamente en el Boletín Epidemiológico de la Secretaría de Estado de la Salud de Maranhão y calculamos los atrasos notificados desde el 23 de marzo al 29 de agosto, 2020. Con el fin de ilustrar el impacto del retraso en la notificación de muertes, y para probar la efectividad de la predicción inmediata bayesiana en la mejora de los datos de calidad, ajustamos un modelo jerárquico bayesiano semi-mecanicista. Solo un 17.8% de las muertes se notificaron sin atrasos o el día después, mientras que un 40.5% se vieron retrasadas durante más de 30 días. Debido a la demora informada, se produjo una subestimación inicial de muertes. No obstante, desde el 7 de junio al 29 de agosto, se informó de 644 muertes, pero solamente 116 muertes se produjeron durante este periodo. El uso de la técnica de predicción inmediata bayesiana mejoró parcialmente la calidad de la información de mortalidad durante el pico de la epidemia, presentando estimaciones que se ajustan mejor al escenario observado en la ciudad, pero no fue útil casi 2 meses después del pico. El retraso en la notificación de muertes podría interferir directamente en la toma de decisiones asertivas y puntuales, respecto a la pandemia de COVID-19. Por consiguiente, se debe revisar urgentemente el sistema brasileño de vigilancia epidemiológica y la notificación de la fecha de muerte debería ser obligatoria. La técnica de predicción inmediata ha demostrado ser bastante efectiva para mejorar la calidad de los datos de mortalidad solamente en el pico pandémico, pero no después.

ABSTRACT OBJECTIVE To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil. METHODS Data from the Mortality Information System were used. Expected deaths for 2020 were estimated from 2015 to 2019 data using a negative binomial log-linear model. RESULTS Excess deaths in Brazil in 2020 amounted to 13.7%, and the ratio of excess deaths to COVID-19 deaths was 0.90. Reductions in deaths from cardiovascular diseases (CVD), respiratory diseases, and external causes, and an increase in ill-defined causes were all noted. Excess deaths were also found to be heterogeneous, being higher in the Northern, Center-Western, and Northeastern states. In some states, the number of COVID-19 deaths was lower than that of excess deaths, whereas the opposite occurred in others. Moreover, excess deaths were higher in men aged 20 to 59, and in black, yellow, or indigenous individuals. Meanwhile, excess mortality was lower in women, in individuals aged 80 years or older, and in whites. Additionally, deaths among those aged 0 to 19 were 7.2% lower than expected, with reduction in mortality from respiratory diseases and external causes. There was also a drop in mortality due to external causes in men and in those aged 20 to 39 years. Moreover, reductions in deaths from CVD and neoplasms were noted in some states and groups. CONCLUSION There is evidence of underreporting of COVID-19 deaths and of the possible impact of restrictive measures in the reduction of deaths from external causes and respiratory diseases. The impacts of COVID-19 on mortality were heterogeneous among the states and groups, revealing that regional, demographic, socioeconomic, and racial differences expose individuals in distinct ways to the risk of death from both COVID-19 and other causes.

ABSTRACT OBJECTIVE To estimate the 2020 all-cause and COVID-19 excess mortality according to sex, age, race/color, and state, and to compare mortality rates by selected causes with that of the five previous years in Brazil. METHODS Data from the Mortality Information System were used. Expected deaths for 2020 were estimated from 2015 to 2019 data using a negative binomial log-linear model. RESULTS Excess deaths in Brazil in 2020 amounted to 13.7%, and the ratio of excess deaths to COVID-19 deaths was 0.90. Reductions in deaths from cardiovascular diseases (CVD), respiratory diseases, and external causes, and an increase in ill-defined causes were all noted. Excess deaths were also found to be heterogeneous, being higher in the Northern, Center-Western, and Northeastern states. In some states, the number of COVID-19 deaths was lower than that of excess deaths, whereas the opposite occurred in others. Moreover, excess deaths were higher in men aged 20 to 59, and in black, yellow, or indigenous individuals. Meanwhile, excess mortality was lower in women, in individuals aged 80 years or older, and in whites. Additionally, deaths among those aged 0 to 19 were 7.2% lower than expected, with reduction in mortality from respiratory diseases and external causes. There was also a drop in mortality due to external causes in men and in those aged 20 to 39 years. Moreover, reductions in deaths from CVD and neoplasms were noted in some states and groups. CONCLUSION There is evidence of underreporting of COVID-19 deaths and of the possible impact of restrictive measures in the reduction of deaths from external causes and respiratory diseases. The impacts of COVID-19 on mortality were heterogeneous among the states and groups, revealing that regional, demographic, socioeconomic, and racial differences expose individuals in distinct ways to the risk of death from both COVID-19 and other causes.

RESUMO OBJETIVOS: Estimar a prevalência e fatores associados à hesitação ao uso da vacina contra o vírus SARS-CoV-2 no Maranhão, Brasil. MÉTODOS: Estudo transversal de base populacional realizado de 19 a 30 de outubro de 2020. As estimativas consideraram agrupamento, estratificação e não resposta. A seleção da amostra foi realizada em três estágios (estrato, setores censitários e domicílio). Após análise sistemática, em cada estrato foram selecionados trinta setores, totalizando 150 setores, sendo o número de domicílios em cada setor fixado em 34, totalizando 5.100 domicílios e um indivíduo por domicílio (residente pelo menos há seis meses e com um ano de idade ou mais) selecionado por amostra aleatória simples. A intenção de ser vacinado foi questionada aos participantes. Foi realizada análise descritiva (frequências ponderadas) e teste do qui-quadrado de Pearson para verificar associação univariada entre as variáveis independentes e o desfecho (p < 0,05). Realizou-se análise multivariada robusta utilizando-se modelagem hierarquizada em três níveis. RESULTADOS: Foram entrevistados 4.630 indivíduos. A prevalência de hesitação vacinal foi de 17,5% (IC95% 16,1–19,1%). Após ajuste final do modelo, a hesitação vacinal foi estatisticamente maior entre moradores das cidades de Imperatriz (24,0%; RP = 1,48; IC95% 1,09–2,02) e de munícipios da Grande Ilha de São Luís (20,7%; RP = 1,34; IC95% 1,02–1,76), pessoas do sexo feminino (19,8%; RP = 1,44; IC95% 1,20–1,75), idosos (22,8%; RP = 1,79; IC95% 1,30–2,46), pertencentes às religiões de denominação evangélica (24,1%; RP = 1,49; IC95% 1,24–1,79) e entre aqueles sem relato de sintomas (18,6%; RP = 1,24; IC95% 1,02–1,51). Outras características socioeconômicas e demográficas, assim como variáveis relacionadas ao mercado de trabalho, comportamentos e condições de saúde dos entrevistados, não tiveram diferença estatística. CONCLUSÃO: A prevalência de hesitação vacinal no Maranhão e sua associação com fatores individuais, contextuais e clínicos revelam os grupos e contextos mais resistentes e que devem merecer atenção especial das estratégias públicas para garantir a ampla vacinação.

ABSTRACT OBJECTIVES: To estimate the prevalence and factors associated with hesitancy in getting the vaccine against SARS-CoV-2 in Maranhão, Brazil. METHODS: This is a cross-sectional population-based study conducted from October 19 to 30, 2020. The estimates were calculated based on clustering, stratification, and non-response. A three-stage sampling was adopted, considering stratum, census tracts, and domicile. After systematic analysis, thirty sectors were selected in each stratum, totaling 150 sectors. Each sector contained a fixed number of 34 households, thus totaling 5,100 households. One individual within each household (resident for at least six months and aged one year or more) was selected by a simple random sampling. We questioned participants about their vaccination intention. Univariate association between independent variables and the outcome were verified using descriptive analysis (weighted frequencies) and Pearson's chi-square test (p < 0.05). Robust multivariate analysis was performed using a three-level hierarchical model. RESULTS: We found 17.5% (95%CI 16.1–19.1%) of the 4,630 individuals interviewed to report hesitancy to be vaccinated against covid-19. After final model adjustment, vaccination hesitancy was statistically higher among residents of the cities of Imperatriz (24.0%; RP = 1.48; IC95% 1.09–2.02) and municipalities of the Grande Ilha de São Luís (20.7%; RP = 1.34; 95%CI 1.02–1.76), female individuals (19.8%; RP = 1.44; 95%CI 1.20–1.75), older adults (22.8%; RP = 1.79; IC95% 1.30–2.46), evangelicals (24.1%; RP = 1.49; 95%CI 1.24–1.79), and those without reported symptoms (18.6%; RP = 1.24; 95%CI 1.02–1.51). We found no statistical differences for other socioeconomic and demographic characteristics, as well as variables related to the labor market, behaviors, and health conditions of the interviewees. CONCLUSION: The prevalence of vaccine hesitancy in Maranhão and its association with individual, contextual, and clinical factors enable us to identify the groups and contexts of greatest resistance, requiring special attention from public strategies to ensure wide vaccination.

RESUMO OBJETIVOS: Estimar a prevalência e fatores associados à hesitação ao uso da vacina contra o vírus SARS-CoV-2 no Maranhão, Brasil. MÉTODOS: Estudo transversal de base populacional realizado de 19 a 30 de outubro de 2020. As estimativas consideraram agrupamento, estratificação e não resposta. A seleção da amostra foi realizada em três estágios (estrato, setores censitários e domicílio). Após análise sistemática, em cada estrato foram selecionados trinta setores, totalizando 150 setores, sendo o número de domicílios em cada setor fixado em 34, totalizando 5.100 domicílios e um indivíduo por domicílio (residente pelo menos há seis meses e com um ano de idade ou mais) selecionado por amostra aleatória simples. A intenção de ser vacinado foi questionada aos participantes. Foi realizada análise descritiva (frequências ponderadas) e teste do qui-quadrado de Pearson para verificar associação univariada entre as variáveis independentes e o desfecho (p < 0,05). Realizou-se análise multivariada robusta utilizando-se modelagem hierarquizada em três níveis. RESULTADOS: Foram entrevistados 4.630 indivíduos. A prevalência de hesitação vacinal foi de 17,5% (IC95% 16,1–19,1%). Após ajuste final do modelo, a hesitação vacinal foi estatisticamente maior entre moradores das cidades de Imperatriz (24,0%; RP = 1,48; IC95% 1,09–2,02) e de munícipios da Grande Ilha de São Luís (20,7%; RP = 1,34; IC95% 1,02–1,76), pessoas do sexo feminino (19,8%; RP = 1,44; IC95% 1,20–1,75), idosos (22,8%; RP = 1,79; IC95% 1,30–2,46), pertencentes às religiões de denominação evangélica (24,1%; RP = 1,49; IC95% 1,24–1,79) e entre aqueles sem relato de sintomas (18,6%; RP = 1,24; IC95% 1,02–1,51). Outras características socioeconômicas e demográficas, assim como variáveis relacionadas ao mercado de trabalho, comportamentos e condições de saúde dos entrevistados, não tiveram diferença estatística. CONCLUSÃO: A prevalência de hesitação vacinal no Maranhão e sua associação com fatores individuais, contextuais e clínicos revelam os grupos e contextos mais resistentes e que devem merecer atenção especial das estratégias públicas para garantir a ampla vacinação.

ABSTRACT OBJECTIVES: To estimate the prevalence and factors associated with hesitancy in getting the vaccine against SARS-CoV-2 in Maranhão, Brazil. METHODS: This is a cross-sectional population-based study conducted from October 19 to 30, 2020. The estimates were calculated based on clustering, stratification, and non-response. A three-stage sampling was adopted, considering stratum, census tracts, and domicile. After systematic analysis, thirty sectors were selected in each stratum, totaling 150 sectors. Each sector contained a fixed number of 34 households, thus totaling 5,100 households. One individual within each household (resident for at least six months and aged one year or more) was selected by a simple random sampling. We questioned participants about their vaccination intention. Univariate association between independent variables and the outcome were verified using descriptive analysis (weighted frequencies) and Pearson's chi-square test (p < 0.05). Robust multivariate analysis was performed using a three-level hierarchical model. RESULTS: We found 17.5% (95%CI 16.1–19.1%) of the 4,630 individuals interviewed to report hesitancy to be vaccinated against covid-19. After final model adjustment, vaccination hesitancy was statistically higher among residents of the cities of Imperatriz (24.0%; RP = 1.48; IC95% 1.09–2.02) and municipalities of the Grande Ilha de São Luís (20.7%; RP = 1.34; 95%CI 1.02–1.76), female individuals (19.8%; RP = 1.44; 95%CI 1.20–1.75), older adults (22.8%; RP = 1.79; IC95% 1.30–2.46), evangelicals (24.1%; RP = 1.49; 95%CI 1.24–1.79), and those without reported symptoms (18.6%; RP = 1.24; 95%CI 1.02–1.51). We found no statistical differences for other socioeconomic and demographic characteristics, as well as variables related to the labor market, behaviors, and health conditions of the interviewees. CONCLUSION: The prevalence of vaccine hesitancy in Maranhão and its association with individual, contextual, and clinical factors enable us to identify the groups and contexts of greatest resistance, requiring special attention from public strategies to ensure wide vaccination.

Abstract Visceral leishmaniasis (VL) is an infectious disease caused by Leishmania spp. The recurrence of the disease occurs, in general, in patients with decreased or loss of T-cell function, whether due to the use of corticosteroids, immunosuppressive disease, or another cause. In some cases, splenectomy may be a therapeutic option. However, the effectiveness of splenectomy is not well defined. This report describes the evolution of a pediatric patient with seven recurrences of VL, who relapsed post-surgery after drug therapy and splenectomy.

ABSTRACT OBJECTIVE: To estimate the seroprevalence of SARS-CoV-2 in the state of Maranhão, Brazil. METHODS: A population-based household survey was performed, from July 27, 2020 to August 8, 2020. The estimates considered clustering, stratification and non-response. Qualitative detection of IgM and IgG antibodies was performed in a fully-automated Elecsys® Anti-SARS-CoV-2 electrochemiluminescence immunoassay on the Cobas® e601 analyzer (Roche Diagnostics). RESULTS: In total, 3,156 individuals were interviewed. Seroprevalence of total antibodies against SARS-CoV-2 was 40.4% (95%CI 35.6-45.3). Population adherence to non-pharmaceutical interventions was higher at the beginning of the pandemic than in the last month. SARS-CoV-2 infection rates were significantly lower among mask wearers and among those who maintained social and physical distancing in the last month compared to their counterparts. Among the infected, 26.0% were asymptomatic. The infection fatality rate (IFR) was 0.14%, higher for men and older adults. The IFR based on excess deaths was 0.28%. The ratio of estimated infections to reported cases was 22.2. CONCLUSIONS: To the best of our knowledge, the seroprevalence of SARS-CoV-2 estimated in this population-based survey is one of the highest reported. The local herd immunity threshold may have been reached or might be reached soon.

ABSTRACT OBJECTIVE: To estimate the seroprevalence of SARS-CoV-2 in the state of Maranhão, Brazil. METHODS: A population-based household survey was performed, from July 27, 2020 to August 8, 2020. The estimates considered clustering, stratification and non-response. Qualitative detection of IgM and IgG antibodies was performed in a fully-automated Elecsys® Anti-SARS-CoV-2 electrochemiluminescence immunoassay on the Cobas® e601 analyzer (Roche Diagnostics). RESULTS: In total, 3,156 individuals were interviewed. Seroprevalence of total antibodies against SARS-CoV-2 was 40.4% (95%CI 35.6-45.3). Population adherence to non-pharmaceutical interventions was higher at the beginning of the pandemic than in the last month. SARS-CoV-2 infection rates were significantly lower among mask wearers and among those who maintained social and physical distancing in the last month compared to their counterparts. Among the infected, 26.0% were asymptomatic. The infection fatality rate (IFR) was 0.14%, higher for men and older adults. The IFR based on excess deaths was 0.28%. The ratio of estimated infections to reported cases was 22.2. CONCLUSIONS: To the best of our knowledge, the seroprevalence of SARS-CoV-2 estimated in this population-based survey is one of the highest reported. The local herd immunity threshold may have been reached or might be reached soon.

Resumo Objetivos: Avaliar o perfil epidemiológico e o prognóstico visual de pacientes com trauma ocular mecânico. Métodos: Estudo observacional transversal descritivo de pacientes consecutivos atendidos durante o período de um ano em um centro de referência público em São Luís, Maranhão. O Ocular Trauma Score foi aplicado a fim de estimar a acuidade visual final. As variáveis foram analisadas por meio do teste de Qui-quadrado com nível de significância de 5%. Resultados: Encontrou-se 154 pacientes tratados, a média de idade foi 30,1 anos, 27,92% menores que 16 anos, homens (81,8%) e do interior do Estado (55,2%). A maioria eram dependentes (34%), dos trabalhadores ocorreu o predomínio do trabalhador rural (19%). Quanto ao prognóstico, 33,77% dos pacientes apresentavam-se na categoria 5 e 31,16% na 1 ou 2, de pior prognóstico. Os melhores prognósticos foram inversamente proporcionais a idade e ao tempo até o atendimento (p<0,001). Conclusão: O trauma ocular se mantém como importante causa de morbidade ocular na infância e no trabalho informal. A supervisão de adultos e medidas socioeducativas são fundamentais para mudar esse cenário.

Abstract Objectives: To evaluate the epidemiological profile and prognosis of patients with mechanical ocular trauma. Methods: Descriptive cross-sectional observational study of consecutive patients evaluated during a one-year period at a public referral center in São Luis, Maranhão, Brazil. The Ocular Trauma Score (OTS) was used to estimate final visual acuity. The variables were analyzed using the chi-square test with a significance level of 5%. Results: Out of a total of 154 patients (mean age of 30.1 years), 27.92% were younger than 16 years, and 81.8% were men, with most coming from the state's countryside (55.2%). Most of the patients were dependents (34%) or rural workers (19%). Regarding the OTS prognosis, 33.77% of the patients were category 5 and 31.16% category 1 or 2, indicating worse prognosis. The best prognoses (visual outcomes) were inversely proportional to age and time to treatment (p<0.001). Conclusion: Ocular trauma remains an important cause of ocular morbidity in childhood and in informal work. Adult supervision and socio-educational measures are mandatory to change this scenario.