Family Vulnerability Scale: validity evidence in primary health care.

OBJECTIVE: Investigate evidence of validity of the Family Vulnerability Scale (EVFAM-BR) as an instrument to support population-based management in primary health care (PHC), in the scope of Health Care Planning (PAS). METHODS: This is a psychometric study to assess any additional evidence of the internal structure of EVFAM-BR using confirmatory factor analysis (CFA) and network analysis (NA). A preliminary version of the scale with 38 items was submitted to patients of PHC facilities that use the PAS methodology, distributed across the five regions of Brazil. For the primary CFA data, factor loadings and predictive power (R2) of the item were used. Seven model adjustment indices were adopted and reliability was measured by three indicators, using Bayesian estimation. RESULTS: The preliminary version of the scale was applied to 1,255 patients. Using the AFC, factor loadings ranged from 0.66 to 0.90 and R2 from 0.44 to 0.81. Both the primary indicators and the model adequacy indices presented satisfactory and consistent levels. According to the NA, the items were appropriately associated with their peers, respecting the established dimensions, thus demonstrating sustainability and stability of the proposed model. CONCLUSIONS: The evidence of validity presented by EVFAM-BR indicates, for the first time in Brazil, a concise instrument that is able to assertively measure family vulnerability, potentially supporting population-based management.

Specialized outpatient care for maternal and child health in PlanificaSUS areas.

OBJECTIVE: To describe the organization of specialized outpatient clinics, according to the Secondary Outpatient Care Unit (SOCU) model according to the health care planning (HCP) methodology. METHODS: This is a descriptive and cross-sectional study, which used secondary data from the PlanificaSUS project. It was carried out in 16 outpatient clinics specialized in maternal and child care, distributed in the five Brazilian geographic regions. A structured questionnaire was used for self-assessment on the implementation of 12 parameters in two moments, in 2019 and in 2020. These parameters are related to the care, educational, and supervisory functions set out in the SOCU model. RESULTS: In 2019, only 37.5% (six) of the outpatient clinics completed at least one parameter related to the care function, most frequently the multiprofessional team with interdisciplinary action (completed in 18.8% of the outpatient clinics). No parameters from the educational and supervisory functions were completed at this initial stage. In 2020, on the other hand, parameters related to the care function also showed higher frequency, higlighting the use of the same criterion by primary care teams and outpatient clinics for risk stratification (completed in 68.8% of the outpatient clinics). In the educational and supervisory functions, parameters related to the encounter between primary care teams and outpatient clinics for case management development, integrated training promotion, and close communication bond among these professionals also increased. Completion of these three parameters was identified in 25%, 25%, and 37.5% of the outpatient clinics, respectively. CONCLUSIONS: The planning methodology fostered reflection and discussion about the (re)organization of the work process and contributed to changes in maternal and child health care practices within specialized outpatient care, integrated with primary health care (PHC), from the perspective of care networks. We believe that such advances enhance access and equitable care for high-risk pregnant women and children in different geographical regions of Brazil.

Family vulnerability scale: Evidence of content and internal structure validity.

INTRODUCTION: Territory view based on families' vulnerability strata allows identifying different health needs that can guide healthcare at primary care scope. Despite the availability of tools designed to measure family vulnerability, there is still a need for substantial validity evidence, which limits the use of these tools in a country showing multiple socioeconomic and cultural realities, such as Brazil. The primary objective of this study is to develop and gather evidence on the validity of the Family Vulnerability Scale for Brazil, commonly referred to as EVFAM-BR (in Portuguese). METHODS: Items were generated through exploratory qualitative study carried out by 123 health care professionals. The data collected supported the creation of 92 initial items, which were then evaluated by a panel of multi-regional and multi-disciplinary experts (n = 73) to calculate the Content Validity Ratio (CVR). This evaluation process resulted in a refined version of the scale, consisting of 38 items. Next, the scale was applied to 1,255 individuals to test the internal-structure validity by using the Exploratory Factor Analysis (EFA). Dimensionality was evaluated using Robust Parallel Analysis, and the model underwent cross-validation to determine the final version of EVFAM-BR. RESULTS: This final version consists of 14 items that are categorized into four dimensions, accounting for an explained variance of 79.02%. All indicators were within adequate and satisfactory limits, without any cross-loading or Heywood Case issues. Reliability indices also reached adequate levels (α = 0.71; ω = 0.70; glb = 0.83 and ORION ranging from 0.80 to 0.93, between domains). The instrument scores underwent a normalization process, revealing three distinct vulnerability strata: low (0 to 4), moderate (5 to 6), and high (7 to 14). CONCLUSION: The scale exhibited satisfactory validity evidence, demonstrating consistency, reliability, and robustness. It resulted in a concise instrument that effectively measures and distinguishes levels of family vulnerability within the primary care setting in Brazil.

Spatial, spatio-temporal, and origin-destination flow analyses of patients with severe acute respiratory syndrome hospitalized for COVID-19 in Southeastern Brazil, 2020-2021.

Brazil experienced one of the fastest increasing numbers of coronavirus disease (COVID-19) cases worldwide. The Sao Paulo State (SPS) reported a high incidence, particularly in Sao Paulo municipality. This study aimed to identify clusters of incidence and mortality of hospitalized patients with severe acute respiratory syndrome for COVID-19 in the SPS, in 2020-2021, and describe the origin flow pattern of the cases. Cases and mortality risk area clusters were identified through different analyses (spatial clusters, spatio-temporal clusters, and spatial variation in temporal trends) by weighting areas. Ripley's K12-function verified the spatial dependence between the cases and infrastructure. There were 517,935 reported cases, with 152,128 cases resulting in death. Of the 470,441 patients hospitalized and residing in the SPS, 357,526 remained in the original municipality, while 112,915 did not. Cases and death clusters were identified in the Sao Paulo metropolitan region (SPMR) and Baixada Santista region in the first study period, and in the SPMR and the Campinas, Sao Jose do Rio Preto, Barretos, and Sorocaba municipalities during the second period. We highlight the priority areas for control and surveillance actions for COVID-19, which could lead to better outcomes in future outbreaks.

Spatial, spatio-temporal, and origin-destination flow analyses of patients with severe acute respiratory syndrome hospitalized for COVID-19 in Southeastern Brazil, 2020-2021

ABSTRACT Brazil experienced one of the fastest increasing numbers of coronavirus disease (COVID-19) cases worldwide. The Sao Paulo State (SPS) reported a high incidence, particularly in Sao Paulo municipality. This study aimed to identify clusters of incidence and mortality of hospitalized patients with severe acute respiratory syndrome for COVID-19 in the SPS, in 2020-2021, and describe the origin flow pattern of the cases. Cases and mortality risk area clusters were identified through different analyses (spatial clusters, spatio-temporal clusters, and spatial variation in temporal trends) by weighting areas. Ripley's K12-function verified the spatial dependence between the cases and infrastructure. There were 517,935 reported cases, with 152,128 cases resulting in death. Of the 470,441 patients hospitalized and residing in the SPS, 357,526 remained in the original municipality, while 112,915 did not. Cases and death clusters were identified in the Sao Paulo metropolitan region (SPMR) and Baixada Santista region in the first study period, and in the SPMR and the Campinas, Sao Jose do Rio Preto, Barretos, and Sorocaba municipalities during the second period. We highlight the priority areas for control and surveillance actions for COVID-19, which could lead to better outcomes in future outbreaks.

Diagnosis of vaccination rooms in Brazilian primary health care centers taking part in the PlanificaSUS project, 2019. / Diagnóstico das salas de vacinação em unidades básicas de saúde brasileiras participantes do projeto PlanificaSUS, 2019.

OBJECTIVE: To describe the diagnosis of vaccination rooms in primary healthcare centers in Brazil. METHODS: This was a cross-sectional study with secondary data of convenience sampling comprised of 25 rooms. Results of a checklist adapted from the Vaccine Room Supervision Tool of the National Immunization Program in 2019 regarding the dimensions 'general organization', 'general aspects', 'technical procedures', 'cold chain', 'information system', 'adverse events following vaccination', 'special immunobiological agents', 'epidemiological surveillance' and 'health education', were used. Percentages of scores, both overall and by dimensions were described in median, interquartile range, minimum and maximum values. RESULTS: The overall median was 77.1%, higher for 'health education' (100.0%) and 'cold chain' (86.7%), and lower for 'special immunobiological agents' (50.0%) and 'general organization' (58.3%). CONCLUSION: Using the checklist enabled the diagnosis in different macro-regions, inter- and intra-regional differences were found in the dimensions, and positive results and opportunities for improvement in the general plan.

Diagnosis of vaccination rooms in Brazilian primary health care units participating in the PlanificaSUS project, 2019 / Diagnóstico de salas de vacunación en unidades básicas de salud brasileñas participantes del proyecto PlanificaSUS, 2019 / Diagnóstico das salas de vacinação em unidades básicas de saúde brasileiras participantes do projeto PlanificaSUS, 2019

Objective: To describe the diagnosis of vaccination rooms in basic health units in Brazil. Methods: Cross-sectional study carried out with secondary data from a convenience sample from 25 rooms. Checklist results adapted from the Vaccination Room Supervision Instrument of the National Immunization Program in 2019 was used, presenting dimensions: General Organization, General Aspects, Technical Procedures, Refrigeration, Information System, Adverse Events Following Immunization (AEFI), Special Immunobiologicals, Epidemiological Surveillance and Health Education. General and dimensional score percentages were described as median, interquartile range, minimum and maximum values. Results: The general median was 77.1%, higher for Health Education (100,0%) and Refrigeration (86.7%), and lower for Special Immunobiologicals (50.0%) and General Organization (58.3%). Conclusion: The use of the checklist allowed the diagnosis in different Brazilian macro-regions, with intra and inter-regional differences being found in the dimensions, and in general presenting positive results and opportunities for improvement.

Objetivo: Describir el diagnóstico de salas de vacunación en unidades básicas de salud en Brasil. Métodos: Estudio transversal realizado con datos secundários de una muestra por conveniencia de 25 salas. Se utilizaron los resultados de un checklist adaptado del Instrumento de Supervisión de Salas de Vacunación del Programa Nacional de Inmunizaciones 2019, presentando dimensiones: Organización General, Aspectos Generales, Procedimientos Técnicos, Cadena de Frío, Sistema de Información, Eventos Adversos Post-Vacunación (AEPV), Inmunobiológicos Especiales, Vigilancia Epidemiológica y Educación para la Salud. Los porcentajes generales y de dimensiones se describieron como mediana, rango intercuartil, valores mínimo y máximo. Resultados: La mediana de cumplimiento general fue 77,1%, mayor para Educación en Salud (100,0%) y Cadena de Frío (86,7%), y menor para Inmunobiológicos Especiales (50,0%) y Organización General (58,3%). Conclusión: El checklist permitió el diagnóstico en diferentes macroregiones brasileñas, encontrándose diferencias intra e interregionales, y em general presentando resultados positivos y oportunidades de mejora.

Objetivo: Descrever o diagnóstico de salas de vacinação de unidades básicas de saúde do Brasil. Métodos: Estudo transversal, sobre dados secundários de amostra de conveniência de 25 salas. Foram utilizados resultados de checklist adaptada do Instrumento de Supervisão em Sala de Vacinação, do Programa Nacional de Imunizações em 2019, nas dimensões 'organização geral', 'aspectos gerais', 'procedimentos técnicos', 'rede de frio', 'sistema de informação', 'eventos adversos pós-vacinação', 'imunobiológicos especiais', 'vigilância epidemiológica' e 'educação em saúde'. Percentuais de pontuação geral e das dimensões foram descritos em mediana, intervalo interquartil, valores mínimo e máximo. Resultados: A mediana geral foi de 77,1%, maior para 'educação em saúde' (100,0%) e 'rede de frio' (86,7%), e menor para 'imunobiológicos especiais' (50,0%) e 'organização geral' (58,3%). Conclusão: A utilização da checklist permitiu o diagnóstico em diferentes macrorregiões, sendo encontradas diferenças inter e intraregionais nas dimensões; e no plano geral, resultados positivos e oportunidades de melhoria.

Diagnóstico das salas de vacinação em unidades básicas de saúde brasileiras participantes do projeto PlanificaSUS, 2019 / Diagnóstico de salas de vacunación en unidades básicas de salud brasileñas participantes del proyecto PlanificaSUS, 2019 / Diagnosis of vaccination rooms in Brazilian primary health care centers taking part in the PlanificaSUS project, 2019 PlanificaSUS, 2019

Objetivo: Descrever o diagnóstico de salas de vacinação de unidades básicas de saúde do Brasil. Métodos: Estudo transversal, com dados secundários de amostra de conveniência de 25 salas. Foram utilizados resultados de checklist adaptada do Instrumento de Supervisão em Sala de Vacinação, do Programa Nacional de Imunizações em 2019, nas dimensões 'organização geral', 'aspectos gerais', 'procedimentos técnicos', 'rede de frio', 'sistema de informação', 'eventos adversos pós-vacinação', 'imunobiológicos especiais', 'vigilância epidemiológica' e 'educação em saúde'. Percentuais de pontuação geral e das dimensões foram descritos em mediana, intervalo interquartil, valores mínimo e máximo. Resultados: A mediana geral foi de 77,1%, maior para 'educação em saúde' (100,0%) e 'rede de frio' (86,7%), e menor para 'imunobiológicos especiais' (50,0%) e 'organização geral' (58,3%). Conclusão: A utilização da checklist permitiu o diagnóstico em diferentes macrorregiões, sendo encontradas diferenças inter e intrarregionais nas dimensões; e, no plano geral, resultados positivos e oportunidades de melhoria.

Objetivo: Describir el diagnóstico de salas de vacunación en unidades básicas de salud en Brasil. Métodos: Estudio transversal realizado con datos secundarios de una muestra por conveniencia de 25 salas. Se utilizaron los resultados de un checklist adaptado del Instrumento de Supervisión de Salas de Vacunación del Programa Nacional de Inmunizaciones 2019, presentando las dimensiones 'organización general', 'aspectos generales', 'procedimientos técnicos', 'red de frío', 'sistema de información', 'eventos adversos post-vacunación', 'inmunobiológicos especiales', 'vigilancia epidemiológica' y 'educación para la salud'. Los porcentajes generales y de dimensiones se describieron como mediana, rango intercuartil, valores mínimo y máximo. Resultados: La mediana de cumplimiento general fue 77,1%, mayor para 'educación en salud' (100,0%) y 'red de frío' (86,7%), y menor para Inmunobiológicos 'especiales' (50,0%) y 'organización general' (58,3%). Conclusión: El checklist permitió el diagnóstico en diferentes macrorregiones brasileñas, encontrándose diferencias intra e interregionales y en general, presentando resultados positivos y oportunidades de mejora.

Objective: To describe the diagnosis of vaccination rooms in primary healthcare centers in Brazil. Methods: This was a cross-sectional study with secondary data of convenience sampling comprised of 25 rooms. Results of a checklist adapted from the Vaccine Room Supervision Tool of the National Immunization Program in 2019 regarding the dimensions 'general organization', 'general aspects', 'technical procedures', 'cold chain', 'information system', 'adverse events following vaccination', 'special immunobiological agents', 'epidemiological surveillance' and 'health education', were used. Percentages of scores, both overall and by dimensions were described in median, interquartile range, minimum and maximum values. Results: The overall median was 77.1%, higher for 'health education' (100.0%) and 'cold chain' (86.7%), and lower for 'special immunobiological agents' (50.0%) and 'general organization' (58.3%). Conclusion: Using the checklist enabled the diagnosis in different macro-regions, inter- and intra-regional differences were found in the dimensions, and positive results and opportunities for improvement in the general plan.

COVID-19 in the state of São Paulo: the evolution of a pandemic. / COVID-19 no estado de São Paulo: a evolução de uma pandemia.

OBJECTIVES: To retrospectively describe severe cases of hospitalized patients and deaths related to the COVID-19 epidemic in the state of São Paulo, starting from the date of the first record, with symptoms onset on 02/10/2020 up to 05/20/2021. METHODS: This is a descriptive study carried out using the Influenza Epidemiological Surveillance System (Sistema de Vigilância Epidemiológica da Gripe - SIVEP-Gripe) database. The rates of incidence, mortality, and accumulated incidence in the period were calculated, stratified by age group and Regional Health Department (RHD). In addition, severe cases were geocoded to analyze their spread across the state; and the Effective R, which determines the spread potential of a virus within a population, was calculated. RESULTS: There was a significant increase in severe cases and deaths recorded in the period of one year, with incidence and mortality rates being heterogeneous within the state. The most critical periods regarding the incidence of severe cases occurred between May and July 2020 and between March and April 2021. The RHD in São José do Rio Preto, Expanded São Paulo, and Araçatuba concentrated the highest incidence and mortality rates. Severe cases and deaths were more frequent in men and in the population over 60 years, while the main risk conditions related to deaths were heart disease (59%) and diabetes (42,8%). CONCLUSIONS: These results not only provide a detailed profile for more efficient control action plan, but will also allow the historical understanding of the COVID-19 evolution within the state of São Paulo.

OBJETIVO: Descrever, de forma retrospectiva, os casos graves de pacientes hospitalizados e os óbitos relacionados à epidemia de COVID-19 no estado de São Paulo, desde a data do primeiro registro, com início de sintomas em 10 de fevereiro de 2020 até registros disponíveis em 20 de maio de 2021. MÉTODOS: Trata-se de um estudo descritivo realizado por meio da base de dados do Sistema de Vigilância Epidemiológica da Gripe. Foram calculadas as taxas de incidência, mortalidade e incidência acumulada no período, estratificadas por faixa etária e agrupadas de acordo com cada Departamento Regional de Saúde. Os casos graves foram geocodificados para a análise de seu espalhamento pelo estado e foi calculado o R efetivo, que estima o potencial de propagação de um vírus em uma população. RESULTADOS: Houve aumento significativo dos casos graves e óbitos registrados no período de um ano, e as taxas de incidência e mortalidade foram heterogêneas no estado. Os períodos mais críticos em relação à incidência de casos graves ocorreram entre maio e julho de 2020 e entre março e abril de 2021. Os Departamentos Regionais de Saúde de São José do Rio Preto, Grande São Paulo e Araçatuba concentraram as maiores taxas de incidência e mortalidade. Os casos graves e óbitos foram mais frequentes nos homens e na população acima de 60 anos, e as principais condições de risco relacionadas aos óbitos foram cardiopatia (59%) e diabetes (42,8%). CONCLUSÕES: Espera-se que esses resultados ofereçam embasamento e possam contribuir para uma ação de controle mais eficiente da COVID-19, além de permitir o entendimento histórico de sua evolução no estado.

SARS-CoV-2 reinfection: report of two cases in Southeast Brazil.

From February 26, 2020 to March 11, 2021, coronavirus disease 2019 (COVID-19) pandemic resulted in 11,439,558 cases and 277,102 deaths in Brazil. Among them, 2,195,130 cases and 63,965 deaths occurred in Sao Paulo State, Southeast Brazil. The recent emergence and rise of new variants of SARS-CoV-2 is of concern because of their higher transmissibility and possible association with more severe disease. Cases of SARS-CoV-2 reinfections have been described since December 2020 in Brazil. This report describes two cases of COVID-19 reinfection, that occurred five and six months after the first infection, during the second wave of the pandemic in Sao Paulo State. Both patients presented mild symptoms in the two COVID-19 episodes and different lineages of SARS-CoV-2 were identified: B.1.1.33 and B.1.1.28 lineages in case 1 and B1.1.128 and P. 2 lineages in case 2.

COVID-19 in the state of São Paulo: the evolution of a pandemic / COVID-19 no estado de São Paulo: a evolução de uma pandemia

OBJECTIVES: To describe retrospectively severe hospitalized cases and deaths related to the COVID-19 epidemic in the state of São Paulo, starting from the date of the first record with symptoms onset on 02/10/2020 up to 05/20/2021 records. METHODS: This is a descriptive study. The data source used was from the Influenza Epidemiological Surveillance System (SIVEP-Gripe). The rates of incidence, mortality and accumulated incidence in the period were calculated, stratified by age group and Regional Health Department (DRS). In addition, severe cases were geocoded to analyze their spread across the state; and the Effective R, which determines the spread potential of a virus within a population, was calculated. RESULTS: There was a significant increase in severe cases and deaths recorded in the period of one year, with incidence and mortality rates being heterogeneous within the state. The most critical periods regarding the incidence of severe cases occurred between May and July 2020 and between March and April 2021. The DRSs in São José do Rio Preto, Grande São Paulo and Araçatuba concentrated the highest incidence and mortality rates. Severe cases and deaths were more frequent in men and in the population over 60 years, while the main risk conditions related to deaths were heart disease (59%) and diabetes (42,8%). CONCLUSIONS: These results not only provide a detailed profile for more efficient control action plan, but will also allow the historical understanding of the COVID-19 evolution within the state of São Paulo.

OBJETIVOS: Descrever, de forma retrospectiva, os casos graves hospitalizados e óbitos relacionados à epidemia de COVID-19 no estado de São Paulo, desde a data do primeiro registro com início de sintomas em 10/02/2020 até registros disponíveis em 20/05/2021. MÉTODOS: Trata-se de um estudo descritivo realizado por meio da base de dados do Sistema de Vigilância Epidemiológica da Gripe (SIVEP-Gripe). Foram calculadas as taxas de incidência, mortalidade e incidência acumulada no período, estratificadas por faixa etária e Departamento Regional de Saúde (DRS). Os casos graves foram geocodificados para análise de seu espalhamento pelo estado e foi calculado o R Efetivo, que estima o potencial de propagação de um vírus dentro de uma população. RESULTADOS: Houve um aumento significativo dos casos graves e óbitos registrados no período de um ano, sendo que as taxas de incidência e mortalidade foram heterogêneas dentro do estado. Os períodos mais críticos em relação à incidência de casos graves ocorreram entre maio e julho de 2020 e entre março e abril de 2021. Os DRS de São José do Rio Preto, Grande São Paulo e Araçatuba concentraram as maiores taxas de incidência e mortalidade. Os casos graves e óbitos foram mais frequentes nos homens e na população acima de 60 anos, e as principais condições de risco relacionadas aos óbitos foram cardiopatia (59%) e diabetes (42,8%). CONCLUSÕES: Espera-se que esses resultados ofereçam embasamento e possam contribuir para uma ação de controle mais eficiente, além de permitir o entendimento histórico da evolução da COVID-19 no estado.

SARS-CoV-2 reinfection: report of two cases in Southeast Brazil

From February 26, 2020 to March 11, 2021, coronavirus disease 2019 (COVID-19) pandemic resulted in 11,439,558 cases and 277,102 deaths in Brazil. Among them, 2,195,130 cases and 63,965 deaths occurred in Sao Paulo State, Southeast Brazil. The recent emergence and rise of new variants of SARS-CoV-2 is of concern because of their higher transmissibility and possible association with more severe disease. Cases of SARS-CoV-2 reinfections have been described since December 2020 in Brazil. This report describes two cases of COVID-19 reinfection, that occurred five and six months after the first infection, during the second wave of the pandemic in Sao Paulo State. Both patients presented mild symptoms in the two COVID-19 episodes and different lineages of SARS-CoV-2 were identified: B.1.1.33 and B.1.1.28 lineages in case 1 and B1.1.128 and P. 2 lineages in case 2.

Epidemiological characteristics of influenza-like illness outbreaks in long-term care facilities of the state of São Paulo, Brazil / Características epidemiológicas dos surtos de síndrome gripal em instituições de longa permanência para idosos no estado de São Paulo, Brasil

Long-term care facilities for older adults present a high risk of outbreaks since they concentrate often more frail and vulnerable individuals. OBJECTIVE: To describe the epidemiological characteristics of influenza-like illness outbreaks and cases among older people in long-term care facilities in the state of São Paulo, Brazil. METODS: The analysis was performed through an exploratory and descriptive approach, with records from the outbreak module of the National System of Notifiable Diseases between January 2020 and June 2021. RESULTS: Outbreaks of influenza-like illness in this department represented 24.93% of all notifications. The highest concentration was seen in the state capital and metropolitan area. A total of 1 018 confirmed outbreaks were observed, involving 6 110 cases and 1 240 deaths among older people. Of these cases, 71.67% were confirmed for coronavirus disease 19 (COVID-19), 12.77% for the influenza virus, and 15.56% for other respiratory viruses. The percentages regarding death outcomes were similar, with a 20.29% lethality of influenza-like illness. Within the studied group, the older adults were the most affected. A statistical difference was observed between cases and deaths. CONCLUSIONS: Owing to the current scenario and the known vulnerabilities of these facilities, there is an urgent need for joint and articulated action by various administrative levels in order to minimize the devastating effects of influenza-like illness outbreaks (especially of COVID19) in older adults at long-term care homes. The strengthening of information systems and their interoperability are considered of utmost importance in order to improve the quality of information on outbreaks, which is essential during a pandemic.

Instituições de longa permanência para idosos são locais que apresentam um alto risco de surtos epidêmicos, visto que concentram indivíduos, frequentemente mais frágeis e vulneráveis. OBJETIVO: Descrever as características epidemiológicas de surtos de síndrome gripal entre idosos em instituições de longa permanência no estado de São Paulo. MÉTODOS: A análise foi realizada através de uma abordagem exploratória e descritiva, utilizando-se de registros do Sistema de Informações de Agravos de Notificação, módulo surto, entre janeiro de 2020 e junho de 2021. RESULTADOS: Surtos de síndrome gripal neste departamento representaram 24,93% do total de notificações. A maior concentração de surtos ocorreu na capital e região metropolitana. Foram observados 1018 surtos confirmados, envolvendo 6110 casos e 1240 óbitos em idosos. Entre estes casos, 71,67% foram confirmados para COVID-19, 12,77% para o vírus Influenza e 15,56%, para outros vírus respiratórios. Óbitos apresentaram porcentagens semelhantes, com a letalidade de síndrome gripal sendo de 20,29%. No grupo estudado, idosos mais longevos foram os mais acometidos. Houve diferença estatística entre casos e óbitos. CONCLUSÕES: Devido ao cenário atual e às conhecidas vulnerabilidades destas instituições, há a necessidade urgente de uma ação conjunta e articulada por parte de diversas esferas administrativas para minimizar os efeitos devastadores de surtos de síndrome gripal, especialmente os de COVID-19, em instituições de longa permanência. O fortalecimento de sistemas de informação e sua interoperabilidade são considerados de vital importância para melhorar a qualidade da informação sobre surtos institucionais, a qual é essencial durante uma pandemia.

COVID-19 no estado de São Paulo: a evolução de uma pandemia / COVID-19 in the state of São Paulo: the evolution of a pandemic

RESUMO: Objetivo: Descrever, de forma retrospectiva, os casos graves de pacientes hospitalizados e os óbitos relacionados à epidemia de COVID-19 no estado de São Paulo, desde a data do primeiro registro, com início de sintomas em 10 de fevereiro de 2020 até registros disponíveis em 20 de maio de 2021. Métodos: Trata-se de um estudo descritivo realizado por meio da base de dados do Sistema de Vigilância Epidemiológica da Gripe. Foram calculadas as taxas de incidência, mortalidade e incidência acumulada no período, estratificadas por faixa etária e agrupadas de acordo com cada Departamento Regional de Saúde. Os casos graves foram geocodificados para a análise de seu espalhamento pelo estado e foi calculado o R efetivo, que estima o potencial de propagação de um vírus em uma população. Resultados: Houve aumento significativo dos casos graves e óbitos registrados no período de um ano, e as taxas de incidência e mortalidade foram heterogêneas no estado. Os períodos mais críticos em relação à incidência de casos graves ocorreram entre maio e julho de 2020 e entre março e abril de 2021. Os Departamentos Regionais de Saúde de São José do Rio Preto, Grande São Paulo e Araçatuba concentraram as maiores taxas de incidência e mortalidade. Os casos graves e óbitos foram mais frequentes nos homens e na população acima de 60 anos, e as principais condições de risco relacionadas aos óbitos foram cardiopatia (59%) e diabetes (42,8%). Conclusões: Espera-se que esses resultados ofereçam embasamento e possam contribuir para uma ação de controle mais eficiente da COVID-19, além de permitir o entendimento histórico de sua evolução no estado.

ABSTRACT: Objectives: To retrospectively describe severe cases of hospitalized patients and deaths related to the COVID-19 epidemic in the state of São Paulo, starting from the date of the first record, with symptoms onset on 02/10/2020 up to 05/20/2021. Methods: This is a descriptive study carried out using the Influenza Epidemiological Surveillance System (Sistema de Vigilância Epidemiológica da Gripe - SIVEP-Gripe) database. The rates of incidence, mortality, and accumulated incidence in the period were calculated, stratified by age group and Regional Health Department (RHD). In addition, severe cases were geocoded to analyze their spread across the state; and the Effective R, which determines the spread potential of a virus within a population, was calculated. Results: There was a significant increase in severe cases and deaths recorded in the period of one year, with incidence and mortality rates being heterogeneous within the state. The most critical periods regarding the incidence of severe cases occurred between May and July 2020 and between March and April 2021. The RHD in São José do Rio Preto, Expanded São Paulo, and Araçatuba concentrated the highest incidence and mortality rates. Severe cases and deaths were more frequent in men and in the population over 60 years, while the main risk conditions related to deaths were heart disease (59%) and diabetes (42,8%). Conclusions: These results not only provide a detailed profile for more efficient control action plan, but will also allow the historical understanding of the COVID-19 evolution within the state of São Paulo.

Doença meningocócica invasiva nas capitais da Região Sul do Brasil: características e tendências / Invasive meningococcal disease in the capitals of the Southern Region of Brazil characteristics and trends

Objetivos: Analisar a tendência, descrever mudanças no comportamento da doença meningocócica invasiva (DMI) e estimar o impacto da vacina conjugada do meningococo C (VCMC) nas capitais da região Sul do Brasil, no período de 1991 a 2015, assim como, investigar as características sociodemográficas, econômicas e de intervenções tecnológicas associadas aos casos pertencentes a cluster da doença no município de Curitiba (PR), no período de 2001 a 2014. Métodos: As áreas de estudo englobaram as capitais da Região Sul do Brasil: Curitiba (PR), Florianópolis (SC) e Porto Alegre (RS), a população de estudo abrangeu os casos de DMI notificados entre 1991 a 2015 à vigilância da doença e residentes nessas capitais. A definição de caso adotada foi a padronizada pelo Ministério da Saúde. As fontes de dados foram: vigilância da DMI, o Instituto Adolfo Lutz, o Instituto Brasileiro de Geografia e Estatística e o Instituto de Pesquisa e Planejamento Urbano de Curitiba. A tendência da incidência e mortalidade da DMI foi determinada pelo modelo de regressão polinomial. A intensidade e a direção da relação linear entre a taxa de incidência e os indicadores socioeconômicos, de saúde e sorogrupo foram analisadas pelo coeficiente de correlação de Pearson. O impacto da VCMC foi estimado pela Fração Prevenida na População, comparando as taxas de incidência de 2012 e 2015 com as de 2009. Investigou-se os potenciais fatores associados a casos pertencentes a cluster no período de 2001 a 2014 por meio das estimativas de odds ratio não ajustada e ajustadas pela regressão logística múltipla não condicional, com os respectivos intervalos de confiança de 95%. Resultados: No período de estudo, a DMI apresentou três comportamentos distintos nas capitais da região sul: i) epidêmico na década de 1990, ii) declínio das taxas na década de 2000, antes da introdução da VCMC na rotina de imunização e, iii) estacionário com taxas baixas entre 2011 e 2015, sob a influência da VCMC. Observamos nesses períodos a influência de fatores biológicos, socioeconômicos e de saúde na incidência dessas capitais. No estudo mais detalhado em Curitiba, apresentou-se associado aos casos pertencentes a cluster, ajustados no tempo e pela idade, residir em bairros de baixa renda (OR: 2,3, IC95%:1,1-4,5). O sorogrupo predominante foi o B com 65,4%, seguida pelo C com 24,5% e 8,3% pelo W. Possivelmente, em virtude da baixa incidência do sorogrupo C, não se verificou a redução na incidência total da DMI, nestas capitais. Entretanto, no período posterior a VCMC, os casos pelo sorogrupo C foram raros ou zerados na faixa etária destinada a vacinação em Curitiba e Florianópolis. Em Porto Alegre foram registrados casos pelo sorogrupo C na faixa etária vacinada e o sorogrupo W se destacou. Conclusão: A partir do início desse século houve declínio expressivo da incidência da DMI nas capitais da região Sul do país, antes mesmo da introdução da vacina, aproximando-se das taxas de DMI encontradas em países de elevada renda. Tais resultados são consistentes, com trabalhos que mostram uma associação da DMI com as condições de vida e grau de desenvolvimento das populações

Objectives: To analyze the trend and describe changes in the epidemiology of invasive meningococcal disease (IMD) and to estimate the impact of the meningococcal conjugate C vaccine (MCCV) in the capitals of the southern region of Brazil, from 1991 to 2015, as well as to investigate the sociodemographic, economic and technological interventions associated to the cases belonging in cluster of the disease in the city of Curitiba (PR), from 2001 to 2014. Methods: The study areas included the capitals of the States of Southern Brazil: Curitiba (PR), Florianópolis (SC) and Porto Alegre (RS), the study population considered cases of IMD reported between 1991 and 2015 to surveillance and residents in these capitals. The IMD case definition adopted was that standardized by the Ministry of Health. The data sources were the surveillance of the IMD, the Adolfo Lutz Institute, the Brazilian Institute of Geography and Statistics and the Institute of Research and Urban Planning of Curitiba. The trend of IMD incidence and mortality was determined by the polynomial regression model. The intensity and direction of the linear relationship between the incidence rate and socioeconomic indicators, health and serogroup were analyzed by the Pearson correlation coefficient. The impact of the MCCV was estimated by the Prevented Fraction for the Population comparing the incidence rates of 2012 and 2015 with those of 2009. We investigated the potential factors associated with cases belonging in cluster between 2001 and 2014 by the unadjusted and adjusted odds ratio estimates by the multiple unconditional logistic regression, with the respectives confidence intervals of 95%. Results: Between 1991 and 2015, IMD presented three distinct periods in the capitals of the southern region: i) epidemic in the 1990s, ii) decline in rates from 2000 to 2010, before the introduction of MCCV in immunization routine and (iii) stationary at low rates in 2011 to 2015, under the influence of MCCV. In this period, we observed the influence of biological, socioeconomic and health factors on the incidence of these capitals. In more detailed study in Curitiba, it was associated with cases belonging in cluster, adjusted in time and by age, to live in low-income neighborhoods (OR: 2.3, 95% CI: 1.1-4.5). Serogroup B was predominant with 65,4%, followed by C with 24,5% and 8,3% by W. Possibly, due to the low incidence of serogroup C, there was no reduction in the total incidence of IMD in these capitals. However, *in the period after MCCV, serogroup C cases were rare or zero in the age group destinedfor vaccination in Curitiba and Florianópolis. In Porto Alegre, cases were registered by serogroup C in the vaccinated age group and serogroup W was relevant. Conclusion: From the beginning of this century there was a significant decline in the incidence of IMD in the capitals of the southern region of the country, even before the introduction of the vaccine, approaching IMD rates found in high income countries. These results are consistent, with studies showing an association of IMD with living conditions and the degree of population development

[Mortality from meningococcal disease in the city of São Paulo, Brazil: characteristics and predictors]. / Mortalidade por doença meningocócica no Município de São Paulo, Brasil: características e preditores.

This study aimed to describe the magnitude, mortality, and case-fatality rate from meningococcal disease and to investigate predictors of death from this cause in the city of São Paulo, Brazil, from 1986 to 2004, using unconditional multiple logistic regression. We analyzed 10,087 cases of meningococcal disease in the city. Mean annual mortality was 1.0/100,000 inhabitants, ranging from 0.2 to 1.8. Case-fatality was 20.5%, with major differences according to age, serogroup, and type of hospital. Predictors of death from meningococcal disease were age, especially the age brackets from one to two years and 40 years and older, and serogroup W. The results can contribute to the elaboration of public policies with a focus on the organization of hospital care and protocols to promote greater treatment effectiveness and application of vaccination strategies that decrease the incidence in groups at greatest risk of death from meningococcal disease.

Mortalidade por doença meningocócica no Município de São Paulo, Brasil: características e preditores / Mortality from meningococcal disease in the city of São Paulo, Brazil: characteristics and predictors / Mortalidad por enfermedad meningocócica en el municipio de São Paulo, Brasil: características y predictores

O estudo objetiva descrever a magnitude, as características da mortalidade e da letalidade por doença meningocócica e investigar preditores de óbito por essa causa, no Município de São Paulo, Brasil, de 1986 a 2004. Utilizou-se a regressão logística múltipla não condicional para a investigação dos preditores de óbitos. Foram estudados 10.087 casos de doença meningocócica no município. A taxa anual média de mortalidade foi de 1,0/100 mil habitantes/ano, variando de 0,2 a 1,8; a letalidade foi de 20,5% com grandes diferenças segundo idade, sorogrupo e tipo de hospital. Os preditores de óbito por doença meningocócica foram idade, especialmente as faixas etárias de um a dois anos e de 40 anos ou mais e o sorogrupo W. Os resultados obtidos podem contribuir para a elaboração de políticas públicas com foco na organização da assistência hospitalar e elaboração de protocolos que promovam a maior efetividade do tratamento e a aplicação de estratégias de vacinação que diminuam a incidência nos grupos de maior risco para óbito por doença meningocócica.

This study aimed to describe the magnitude, mortality, and case-fatality rate from meningococcal disease and to investigate predictors of death from this cause in the city of São Paulo, Brazil, from 1986 to 2004, using unconditional multiple logistic regression. We analyzed 10,087 cases of meningococcal disease in the city. Mean annual mortality was 1.0/100,000 inhabitants, ranging from 0.2 to 1.8. Case-fatality was 20.5%, with major differences according to age, serogroup, and type of hospital. Predictors of death from meningococcal disease were age, especially the age brackets from one to two years and 40 years and older, and serogroup W. The results can contribute to the elaboration of public policies with a focus on the organization of hospital care and protocols to promote greater treatment effectiveness and application of vaccination strategies that decrease the incidence in groups at greatest risk of death from meningococcal disease.

Los objetivos fueron describir la magnitud y las características de la morbilidad y mortalidad por enfermedad meningocócica e investigar los predictores de muerte. Fueron estudiados 10.087 casos de enfermedad meningocócica ocurridos en São Paulo, entre 1986 y 2004. Los predictores de muerte por enfermedad meningocócica se investigaron por regresión logística no condicional. La tasa anual media de mortalidad por enfermedad meningocócica en el periodo del estudio fue de 1,0/100 mil habitantes/año, variando de 0,2 a 1,8, con distribución desigual, afectando fuertemente a los distritos más pobres. La letalidad fue de 20,5% con grandes diferencias según edad, serogrupo y tipo de hospital. Los principales predictores de muerte fueron la edad, especialmente, menores de dos años, y serogrupo W. Los resultados pueden contribuir a la elaboración de las políticas públicas con un enfoque en la organización de la atención hospitalaria y elaboración de protocolos que promuevan una mayor eficacia del tratamiento y la aplicación de las estrategias de vacunación para reducir la incidencia de los grupos con mayor riesgo de muerte por enfermedad meningocócica.

Doença meningocócica: indicadores de gravidade e sua importância para vigilância e assistência médico-hospitalar / Meningococcal disease: indicators of severity and its importance for surveillance and hospital medical care

Descrever o comportamento da Doença Meningocócica (DM) focalizando aspectos clínicos e seus desfechos, analisar o possível impacto da descentralização da assistência hospitalar, investigando também fatores associados à sua gravidade no município de São Paulo (SP), de 1986 a 2004. Metodologia: Trata-se de um estudo de corte transversal com componente descritivo e analítico, abrangendo o período de 1986 a 2004. A população de estudo abrange pacientes de DM, residentes no município de SP, notificados à vigilância. Os dados foram obtidos junto à vigilância passiva da DM e ao Instituto Adolfo Lutz de São Paulo. A descrição da doença foi efetuada segundo aspectos relativos ao tempo, espaço e pessoa. Para a investigação dos fatores associados à gravidade da DM tomou-se como variável dependente o óbito por DM e como variável independente, as exposições de interesse. Elas foram investigadas por meio das estimativas das odds ratio não ajustadas e ajustadas pela regressão logística não condicional, com os respectivos intervalos de confiança de 95 por cento. Resultados: Foram confirmados 10.087 casos de DM no município de São Paulo, durante o período de interesse. No pico epidêmico de 1995, a taxa de incidência média da DM foi de 8,1 casos/100.000 habitantes (hab), a mortalidade de 1,8 casos/hab/ano e letalidade média de 22 por cento. Crianças menores de quatro anos foram as mais atingidas, constituindo 54 por cento dos casos, principalmente entre os menores de um ano, com taxa de incidência média de 60,1/100000 casos/hab. Em 1986, o Hospital Especializado atendia 83 por cento dos casos e os Assistenciais apenas 12 por cento. No final do período estudado (2004), com a descentralização do serviço, o Hospital Especializado passou a atendeu 22 por cento dos casos e 71 por cento dos casos os Assistenciais. O Hospital Especializado manteve a letalidade anual dos casos de DM constante durante todo período, em torno de 11 por cento...

To describe the behavior of meningococcal disease (MD) focusing on clinical features and outcomes, analyze the potential impacts of decentralization of hospital care, also investigating factors associated with the severity of MD in São Paulo (SP) city, from 1986 to 2004. Methods: This is a cross-sectional study with descriptive and analytical component covering the period 1986 to 2004. The population of the study was inhabitants in SP city, registered in the surveillance system. The data were obtained from the surveillance system of the DM MD and the Adolfo Lutz Institute of São Paulo. The descriptive analysis was presented by aspects of the time, space and person. The investigation of factors associated with the severity of the MD, it was considered as dependent variable death, and as independent variable, the exposure of interest. They were investigated by unadjusted and adjusted odds ratios by unconditional logistic regression, with their confidence intervals of 95 per cent. Results: There were 10,087 confirmed cases of MD in SP city, from 1986 to 2004. In epidemic peak (1995), the average rate of incidence of MD was 8.1 cases/100000 inhabitants (inhabit), the mortality rate was 1.8 cases/inhab/year and average case fatality rate (CFR) was of 22 per cent. Children under four years were the highest risk, representing 54 per cent of cases, especially among children under one year with average incidence rate of 60.1/100000 cases/inhab. In 1986, the specialized hospital cared 83 per cent of cases and non-specialized hospital only 12 per cent. At the end of the period studied (2004), with the decentralization of service...