National COVID-19 vaccination plan: using artificial spatial intelligence to overcome challenges in Brazil. / Plano nacional de vacinação contra a COVID-19: uso de inteligência artificial espacial para superação de desafios.

This article explores the use of spatial artificial intelligence to estimate the resources needed to implement Brazil's COVID-19 immu nization campaign. Using secondary data, we conducted a cross-sectional ecological study adop ting a time-series design. The unit of analysis was Brazil's primary care centers (PCCs). A four-step analysis was performed to estimate the popula tion in PCC catchment areas using artificial in telligence algorithms and satellite imagery. We also assessed internet access in each PCC and con ducted a space-time cluster analysis of trends in cases of SARS linked to COVID-19 at municipal level. Around 18% of Brazil's elderly population live more than 4 kilometer from a vaccination point. A total of 4,790 municipalities showed an upward trend in SARS cases. The number of PCCs located more than 5 kilometer from cell towers was largest in the North and Northeast regions. Innovative stra tegies are needed to address the challenges posed by the implementation of the country's National COVID-19 Vaccination Plan. The use of spatial artificial intelligence-based methodologies can help improve the country's COVID-19 response.

O objetivo deste artigo é analisar o uso da inteligência artificial espacial no contexto da imunização contra COVID-19 para a seleção adequada dos recursos necessários. Trata-se de estudo ecológico de caráter transversal baseado em uma abordagem espaço-temporal utilizando dados secundários, em Unidades Básicas de Saúde do Brasil. Foram adotados quatro passos analíticos para atribuir um volume de população por unidade básica, aplicando algoritmos de inteligência artificial a imagens de satélite. Em paralelo, as condições de acesso à internet móvel e o mapeamento de tendências espaço-temporais de casos graves de COVID-19 foram utilizados para caracterizar cada município do país. Cerca de 18% da população idosa brasileira está a mais de 4 quilômetros de distância de uma sala de vacina. No total, 4.790 municípios apresentaram tendência de agudização de casos de Síndrome Respiratória Aguda Grave. As regiões Norte e Nordeste apresentaram o maior número de Unidades Básicas de Saúde com mais de 5 quilômetros de distância de antenas de celular. O Plano nacional de vacinação requer o uso de estratégias inovadoras para contornar os desafios do país. O uso de metodologias baseadas em inteligência artificial espacial pode contribuir para melhoria do planejamento das ações de resposta à COVID-19.

Emergency department use and Artificial Intelligence in Pelotas: design and baseline results.

OBJETIVO: To describe the initial baseline results of a population-based study, as well as a protocol in order to evaluate the performance of different machine learning algorithms with the objective of predicting the demand for urgent and emergency services in a representative sample of adults from the urban area of Pelotas, Southern Brazil. METHODS: The study is entitled "Emergency department use and Artificial Intelligence in PELOTAS (RS) (EAI PELOTAS)" (https://wp.ufpel.edu.br/eaipelotas/). Between September and December 2021, a baseline was carried out with participants. A follow-up was planned to be conducted after 12 months in order to assess the use of urgent and emergency services in the last year. Afterwards, machine learning algorithms will be tested to predict the use of urgent and emergency services over one year. RESULTS: In total, 5,722 participants answered the survey, mostly females (66.8%), with an average age of 50.3 years. The mean number of household people was 2.6. Most of the sample has white skin color and incomplete elementary school or less. Around 30% of the sample has obesity, 14% diabetes, and 39% hypertension. CONCLUSION: The present paper presented a protocol describing the steps that were and will be taken to produce a model capable of predicting the demand for urgent and emergency services in one year among residents of Pelotas, in Rio Grande do Sul state.

Post-acute COVID and long-COVID among adults and older adults in the State of Paraná, Brazil: protocol for an ambispective cohort study.

INTRODUCTION: Since 2020, the world has been going through a viral pandemic with a high morbidity and mortality rate along with the potential to evolve from an acute infection to post-acute and long-COVID, which is still in the process of elucidation. Diagnostic and prognostic research is essential to understand the complexity of factors and contexts involving the illness's process. This protocol introduces a study strategy to analyse predictors, sequelae, and repercussions of COVID-19 in adults and older adults with different disease severities in the State of Paraná, Brazil. METHODS AND ANALYSIS: A mixed-methods sequential explanatory design. The quantitative data will be conducted by an ambispective cohort study, which will explore the manifestations of COVID-19 for 18 months, with nearly 3000 participants with confirmed diagnoses of COVID-19 (reverse transcription-PCR test) between March and December of 2020, retrieved from national disease reporting databases, over 18 years old, living in a Brazilian State (Paraná) and who survived the viral infection after being discharged from a health service. Data collection will be conducted through telephone interviews, at two different occasions: the first will be a recall 12 months after the acute phase as a retrospective follow-up, and the second will be another prospective interview, with data of the following 6 months. For the qualitative step, Grounded Theory will be used; participants will be selected from the cohort population. The first sample group will be composed of people who were discharged from the intensive care unit, and other sample groups will be composed according to theoretical saturation. The qualitative data will follow the temporal design and classification of the disease provided for in the cohort. ETHICS AND DISSEMINATION: Ethics approval was granted by the State University of Maringá, under opinion number: 4 165 272 and CAAE: 34787020.0.0000.0104 on 21 July 2020, and Hospital do Trabalhador (Worker's Hospital), which is accountable for the Health Department of the State of Paraná, under opinion number: 4 214 589 and CAAE: 34787020.0.3001.5225 on 15 August 2020. The participants will verbally consent to the research, their consent will be recorded, and the informed consent form will be sent by mail or email. Outcomes will be widely disseminated through peer-reviewed manuscripts, conference presentations, media and reports to related authorities.

Perceived quality of life and associated factors in long COVID syndrome among older Brazilians: A cross-sectional study.

AIMS AND OBJECTIVES: This paper aims to: (a) determine the personal, sociodemographic, clinical, behavioural, and social characteristics of older Brazilians with clinical evidence of long COVID; (b) evaluate perceived quality of life and determine its association with personal, sociodemographic, behavioural, clinical and social variables; and (c) assess significant predictors of high perceived QoL. BACKGROUND: Given the inherent vulnerabilities of the ageing process, the older people are an at-risk group for both contagion of SARS-CoV-2 and the perpetuation of residual symptoms after infection, the so-called long COVID or post-COVID syndrome. DESIGN: A cross-sectional survey design using the STROBE checklist. METHODS: Brazilian older people with long COVID syndrome (n = 403) completed a phone survey measuring personal, sociodemographic, behavioural, clinical, and social characteristics, and perceived Quality of Life (QoL). Data were collected from June 2021-March 2022. A multiple linear regression model was performed to identify salient variables associated with high perceived QoL. RESULTS: The mean age of participants was 67.7 ± 6.6 years old. The results of the multivariate regression model showed that race, home ownership, daily screen time, musculoskeletal and anxiety symptoms, and work situation were the significant predictors of QoL among COVID-19 survivors. CONCLUSIONS: Knowledge about the persistence of physical, emotional, and social symptoms of COVID-19 can help nurses and other healthcare providers to improve the management of survivors, bringing benefits to the whole society. RELEVANCE TO CLINICAL PRACTICE: Given the novelty of long-COVID and its heterogeneous trajectory, interventions focusing on the repercussions and requirements unique to more vulnerable older persons should be developed and these aspects should be included in public health recommendations and policymakers' concerns. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution was required to design, to outcome measures or undertake this research. Patients/members of the public contributed only to the data collection.

Post-acute COVID and long-COVID among adults and older adults in the State of Paraná, Brazil: protocol for an ambispective cohort study

Introduction Since 2020, the world has been going through a viral pandemic with a high morbidity and mortality rate along with the potential to evolve from an acute infection to post-acute and long-COVID, which is still in the process of elucidation. Diagnostic and prognostic research is essential to understand the complexity of factors and contexts involving the illness’s process. This protocol introduces a study strategy to analyse predictors, sequelae, and repercussions of COVID-19 in adults and older adults with different disease severities in the State of Paraná, Brazil. Methods and analysis A mixed-methods sequential explanatory design. The quantitative data will be conducted by an ambispective cohort study, which will explore the manifestations of COVID-19 for 18 months, with nearly 3000 participants with confirmed diagnoses of COVID-19 (reverse transcription-PCR test) between March and December of 2020, retrieved from national disease reporting databases, over 18 years old, living in a Brazilian State (Paraná) and who survived the viral infection after being discharged from a health service. Data collection will be conducted through telephone interviews, at two different occasions: the first will be a recall 12 months after the acute phase as a retrospective follow-up, and the second will be another prospective interview, with data of the following 6 months. For the qualitative step, Grounded Theory will be used;participants will be selected from the cohort population. The first sample group will be composed of people who were discharged from the intensive care unit, and other sample groups will be composed according to theoretical saturation. The qualitative data will follow the temporal design and classification of the disease provided for in the cohort. Ethics and dissemination Ethics approval was granted by the State University of Maringá, under opinion number: 4 165 272 and CAAE: 34787020.0.0000.0104 on 21 July 2020, and Hospital do Trabalhador (Worker’s Hospital), which is accountable for the Health Department of the State of Paraná, under opinion number: 4 214 589 and CAAE: 34787020.0.3001.5225 on 15 August 2020. The participants will verbally consent to the research, their consent will be recorded, and the informed consent form will be sent by mail or email. Outcomes will be widely disseminated through peer-reviewed manuscripts, conference presentations, media and reports to related authorities.

Spatial correlation of covid-19 with intensive care unit beds in Paraná.

OBJECTIVE: To analyze the spatial correlation between confirmed cases of covid-19 and the intensive care unit beds exclusive to the disease in municipalities of Paraná. METHODS: This is an epidemiological study of ecological type which used data from the Epidemiological Report provided by the Department of Health of Paraná on the confirmed cases of covid-19 from March 12, 2020, to January 18, 2021. The number of intensive care beds exclusive to covid-19 in each municipality of Paraná was obtained by the Cadastro Nacional de Estabelecimentos de Saúde (CNES - National Registry of Health Establishments), provided online by the Departamento de Informática do Sistema Único de Saúde (Datasus - Informatics Department of the Brazilian Unified Health System). The Bivariate Moran's Index (local and global) was used to analyze the intensive care bed variable and spatial correlation, with a 5% significance level. LISA Map was used to identify critical and transition areas. RESULTS: In the analyzed period, we found 499,777 confirmed cases of covid-19 and 1,029 intensive care beds exclusive to the disease in Paraná. We identified a positive spatial autocorrelation between the confirmed cases of covid-19 (0.404-p ≤ 0.001) and intensive care beds exclusive to the disease (0.085-p ≤ 0.001) and disparities between the regions of Paraná. CONCLUSION: Spatial analysis indicated that confirmed cases of covid-19 are related to the distribution of intensive care beds exclusive to the disease in Paraná, allowing us to find priority areas of care in the state regarding the dissemination and control of the disease.

Protective behaviors for COVID-19 among Brazilian adults and elderly living with multimorbidity: the ELSI-COVID-19 initiative. / Comportamentos de proteção contra COVID-19 entre adultos e idosos brasileiros que vivem com multimorbidade: iniciativa ELSI-COVID-19.

To measure the occurrence of protective behaviors for COVID-19 and sociodemographic factors according to the occurrence of multimorbidity in the Brazilian population aged 50 or over was the objective of this study. We used data from telephone surveys among participants of ELSI-Brazil (Brazilian Longitudinal Study of Aging), conducted between May and June 2020. The use of non-pharmacological prevention measures for COVID-19, reasons for leaving home according to the presence of multimorbidity and sociodemographic variables were evaluated. among 6,149 individuals. Multimorbidity was more frequent in females, married, aged 50-59 years and residents of the urban area. Most of the population left home between once and twice in the last week, increasing according to the number of morbidities (22.3% no morbidities and 38% with multimorbidity). Leaving home every day was less common among individuals with multimorbidity (10.3%) and 9.3% left home in the last week to access health care. Hand hygiene (> 98%) and always wearing a mask when leaving home (> 96%) were almost universal habits. Greater adherence to social isolation was observed among women with multimorbidity when compared to men (PR = 1.49, 95%CI: 1.23-1.79). This adherence increased proportionally with age and inversely with the level of education. The protective behavior in people with multimorbidity seems to be greater in relation to the others, although issues related to social isolation and health care deserve to be highlighted. These findings can be useful in customizing strategies for coping with the current pandemic.

Objetivou-se medir a ocorrência de comportamentos de proteção contra a COVID-19 e fatores sociodemográficos segundo a ocorrência de multimorbidade na população brasileira com 50 anos ou mais de idade. Foram utilizados dados de inquérito telefônico entre participantes do ELSI-Brasil (Estudo Longitudinal da Saúde dos Idosos Brasileiros), conduzido entre maio e junho de 2020. Avaliou-se o uso de medidas de prevenção não farmacológica para COVID-19, motivos para sair de casa segundo a presença de multimorbidade e variáveis sociodemográficas. Participaram do estudo 6.149 pessoas. Multimorbidade foi mais frequente no sexo feminino, em casados, na faixa etária 50-59 anos de idade e em moradores da zona urbana. A maior parte da população saiu de casa entre uma e duas vezes na última semana, percentual que aumentou segundo o número de morbidades (22,3% sem morbidades e 38% com multimorbidade). Sair de casa todos os dias teve menor ocorrência entre indivíduos com multimorbidade (10,3%), e 9,3% saíram de casa na última semana para obter atendimento de saúde. Higienização de mãos (> 98%) e sempre usar máscara ao sair de casa (> 96%) foram hábitos quase universais. Observou-se maior adesão ao isolamento social entre as mulheres com multimorbidade quando comparadas com os homens (RP = 1,49; IC95%: 1,23-1,79); esta adesão aumentou proporcionalmente com a idade e inversamente ao nível de escolaridade. O comportamento de proteção em pessoas com multimorbidade parece ser maior em relação aos demais, embora questões relacionadas ao isolamento social e cuidado em saúde mereçam ser destacadas. Esses achados podem ser úteis na customização de estratégias de enfrentamento atual da pandemia.

El objetivo fue medir la ocurrencia de comportamientos de protección contra la COVID-19 y factores sociodemográficos, según la ocurrencia de multimorbilidad, en la población brasileña con 50 años o más de edad. Se utilizaron datos de la encuesta telefónica entre participantes del ELSI-Brasil (Estudio Brasileño Longitudinal del Envejecimiento), realizado entre mayo y junio de 2020. Se evaluó el uso de medidas de prevención no farmacológica para la COVID-19, motivos para salir de casa, según la presencia de multimorbilidad y variables sociodemográficas. Participaron del estudio 6.149 personas. La multimorbilidad fue más frecuente en el sexo femenino, en casados, en la franja de edad 50-59 años de edad y en residentes de la zona urbana. La mayor parte de la población salió de casa entre una y dos veces en la última semana, porcentaje que aumentó según el número de morbilidades (22,3% sin morbilidades y 38% con multimorbilidad). Salir de casa todos los días tuvo una menor ocurrencia entre individuos con multimorbilidad (10,3%), y 9,3% salieron de casa en la última semana para obtener atención en salud. La higienización de manos (> 98%) y siempre usar mascarilla al salir de casa (> 96%) fueron hábitos casi universales. Se observó una mayor adhesión al aislamiento social entre las mujeres con multimorbilidad cuando se compararon con los hombres (RP = 1,49; IC95%: 1,23-1,79); esta adhesión aumentó proporcionalmente con la edad y fue inversamente proporcional al nivel de escolaridad. El comportamiento de protección en personas con multimorbilidad parece ser mayor respecto a los demás, a pesar de que las cuestiones relacionadas con el aislamiento social y cuidado en salud merezcan ser destacadas. Estos resultados pueden ser útiles en la personalización de estrategias de combate a la actual pandemia.

Multimorbidity and population at risk for severe COVID-19 in the Brazilian Longitudinal Study of Aging. / Multimorbidade e população em risco para COVID-19 grave no Estudo Longitudinal da Saúde dos Idosos Brasileiros.

This study aimed to measure the occurrence of multimorbidity and to estimate the number of individuals in the Brazilian population 50 years or older at risk for severe COVID-19. This was a cross-sectional nationwide study based on data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil), conducted in 2015-2016, with 9,412 individuals 50 years or older. Multimorbidity was defined as ≥ 2 chronic conditions based on a list of 15 diseases considered risk conditions for severe COVID-19. The analyses included calculation of prevalence and estimation of the absolute number of persons in the population at risk. Self-rated health status, frailty, and basic activities of daily living were used as markers of health status. Sex, age, region of the country, and schooling were used as covariables. Some 80% of the sample had at least one of the target conditions, which represents some 34 million individuals. Multimorbidity was reported by 52% of the study population, with higher proportions in the Central, Southeast, and South of Brazil. Cardiovascular diseases and obesity were the most frequent chronic conditions. An estimated 2.4 million Brazilians are at serious health risk. The results revealed inequalities according to schooling. The number of persons 50 years or older who presented risk conditions for severe COVID-19 is high both in absolute and relative terms. The estimate is important for planning strategies to monitor persons with chronic conditions and for preventive strategies to deal with the novel coronavirus.

O objetivo deste trabalho foi medir a ocorrência de multimorbidade e estimar o número de indivíduos na população brasileira com 50 anos ou mais em risco para COVID-19 grave. Estudo transversal de base nacional com dados do Estudo Longitudinal da Saúde dos Idosos Brasileiros (ELSI-Brasil), conduzido em 2015-2016, com 9.412 indivíduos com 50 anos ou mais. A multimorbidade foi caracterizada como ≥ 2 condições crônicas com base em uma lista de 15 morbidades consideradas de risco para COVID-19 grave. As análises incluíram cálculo de prevalência e estimativa do número absoluto de pessoas na população em risco. Autoavaliação do estado de saúde, fragilidade e atividades básicas da vida diária foram utilizadas como marcadores da situação de saúde. Sexo, idade, região geopolítica e escolaridade foram usados como covariáveis. Cerca de 80% dos indivíduos da amostra apresentaram pelo menos alguma das morbidades avaliadas, o que representa cerca de 34 milhões de indivíduos; a multimorbidade foi referida por 52% da população em estudo, com maior proporção nas regiões Centro-oeste, Sudeste e Sul. Doenças cardiovasculares e obesidade foram as condições crônicas mais frequentes. Estima-se que 2,4 milhões de brasileiros estejam em risco grave de saúde. Desigualdades segundo a escolaridade foram observadas. O número de pessoas com 50 anos ou mais que apresentam morbidades de risco para COVID-19 grave é elevado tanto em termos relativos quanto absolutos. A estimativa apresentada é importante para planejar as estratégias de monitoramento das pessoas com morbidades crônicas e de prevenção no enfrentamento do novo coronavírus.

El objetivo de este trabajo fue medir la ocurrencia de multimorbilidad y estimar el número de individuos en la población brasileña, con 50 años o más, en riesgo de COVID-19 grave. Estudio transversal de base nacional, con datos del Estudio Brasileño Longitudinal del Envejecimiento (ELSI-Brasil), llevado a cabo en 2015-2016, con 9.412 individuos con 50 años o más. La multimorbilidad se caracterizó como ≥ 2 condiciones crónicas, en base a una lista de 15 morbilidades consideradas de riesgo para COVID-19 grave. Los análisis incluyeron el cálculo de prevalencia y estimación del número absoluto de personas en la población en riesgo. La autoevaluación del estado de salud, fragilidad y actividades básicas de la vida diaria fueron utilizadas como marcadores de la situación de salud. Sexo, edad, región geopolítica y escolaridad fueron usados como covariables. Cerca de un 80% de los individuos de la muestra presentaron por lo menos alguna de las morbilidades evaluadas, lo que representa cerca de 34 millones de individuos; la multimorbilidad fue referida por un 52% de la población en estudio, con mayor proporción en las regiones Centro, Sureste y Sur. Enfermedades cardiovasculares y obesidad fueron las enfermedades crónicas más frecuentes. Se estima que 2,4 millones de brasileños están en riesgo grave de salud. Se observaron desigualdades según la escolaridad. El número de personas con 50 años o más que presentan morbilidades de riesgo para la COVID-19 grave es elevado, tanto en términos relativos, como absolutos. La estimación presentada es importante para planear las estrategias de monitoreo de las personas con morbilidades crónicas y de prevención en el combate al nuevo coronavirus.

Multimorbidity and population at risk for severe COVID-19 in the Brazilian Longitudinal Study of Aging

O objetivo deste trabalho foi medir a ocorrência de multimorbidade e estimar o número de indivíduos na população brasileira com 50 anos ou mais em risco para COVID-19 grave. Estudo transversal de base nacional com dados do Estudo Longitudinal da Saúde dos Idosos Brasileiros (ELSI-Brasil), conduzido em 2015-2016, com 9.412 indivíduos com 50 anos ou mais. A multimorbidade foi caracterizada como ≥2 condições crônicas com base em uma lista de 15 morbidades consideradas de risco para COVID-19 grave. As análises incluíram cálculo de prevalência e estimativa do número absoluto de pessoas na população em risco. Autoavaliação do estado de saúde, fragilidade e atividades básicas da vida diária foram utilizadas como marcadores da situação de saúde. Sexo, idade, região geopolítica e escolaridade foram usados como covariáveis. Cerca de 80% dos indivíduos da amostra apresentaram pelo menos alguma das morbidades avaliadas, o que representa cerca de 34 milhões de indivíduos;a multimorbidade foi referida por 52% da população em estudo, com maior proporção nas regiões Centro-oeste, Sudeste e Sul. Doenças cardiovasculares e obesidade foram as condições crônicas mais frequentes. Estima-se que 2,4 milhões de brasileiros estejam em risco grave de saúde. Desigualdades segundo a escolaridade foram observadas. O número de pessoas com 50 anos ou mais que apresentam morbidades de risco para COVID-19 grave é elevado tanto em termos relativos quanto absolutos. A estimativa apresentada é importante para planejar as estratégias de monitoramento das pessoas com morbidades crônicas e de prevenção no enfrentamento do novo coronavírus. El objetivo de este trabajo fue medir la ocurrencia de multimorbilidad y estimar el número de individuos en la población brasileña, con 50 años o más, en riesgo de COVID-19 grave. Estudio transversal de base nacional, con datos del Estudio Brasileño Longitudinal del Envejecimiento (ELSI-Brasil), llevado a cabo en 2015-2016, con 9.412 individuos con 50 años o más. La multimorbilidad se caracterizó como ≥2 condiciones crónicas, en base a una lista de 15 morbilidades consideradas de riesgo para COVID-19 grave. Los análisis incluyeron el cálculo de prevalencia y estimación del número absoluto de personas en la población en riesgo. La autoevaluación del estado de salud, fragilidad y actividades básicas de la vida diaria fueron utilizadas como marcadores de la situación de salud. Sexo, edad, región geopolítica y escolaridad fueron usados como covariables. Cerca de un 80% de los individuos de la muestra presentaron por lo menos alguna de las morbilidades evaluadas, lo que representa cerca de 34 millones de individuos;la multimorbilidad fue referida por un 52% de la población en estudio, con mayor proporción en las regiones Centro, Sureste y Sur. Enfermedades cardiovasculares y obesidad fueron las enfermedades crónicas más frecuentes. Se estima que 2,4 millones de brasileños están en riesgo grave de salud. Se observaron desigualdades según la escolaridad. El número de personas con 50 años o más que presentan morbilidades de riesgo para la COVID-19 grave es elevado, tanto en términos relativos, como absolutos. La estimación presentada es importante para planear las estrategias de monitoreo de las personas con morbilidades crónicas y de prevención en el combate al nuevo coronavirus. This study aimed to measure the occurrence of multimorbidity and to estimate the number of individuals in the Brazilian population 50 years or older at risk for severe COVID-19. This was a cross-sectional nationwide study based on data from the Brazilian Longitudinal Study of Aging (ELSI-Brazil), conducted in 2015-2016, with 9,412 individuals 50 years or older. Multimorbidity was defined as ≥2 chronic conditions based on a list of 15 diseases considered risk conditions for severe COVID-19. The analyses included calculation of prevalence and estimation of the absolute number of persons in the population at risk. Self-rated health status, frailty, and basic activities of daily living were used as markers of health status. Sex, age, region of the country, and schooling were used as covariables. Some 80% of the sample had at least one of the target conditions, which represents some 34 million individuals. Multimorbidity was reported by 52% of the study population, with higher proportions in the Central, Southeast, and South of Brazil. Cardiovascular diseases and obesity were the most frequent chronic conditions. An estimated 2.4 million Brazilians are at serious health risk. The results revealed inequalities according to schooling. The number of persons 50 years or older who presented risk conditions for severe COVID-19 is high both in absolute and relative terms. The estimate is important for planning strategies to monitor persons with chronic conditions and for preventive strategies to deal with the novel coronavirus.

Protective behaviors for COVID-19 among Brazilian adults and elderly living with multimorbidity: the ELSI-COVID-19 initiative

Objetivou-se medir a ocorrência de comportamentos de proteção contra a COVID-19 e fatores sociodemográficos segundo a ocorrência de multimorbidade na população brasileira com 50 anos ou mais de idade. Foram utilizados dados de inquérito telefônico entre participantes do ELSI-Brasil (Estudo Longitudinal da Saúde dos Idosos Brasileiros), conduzido entre maio e junho de 2020. Avaliou-se o uso de medidas de prevenção não farmacológica para COVID-19, motivos para sair de casa segundo a presença de multimorbidade e variáveis sociodemográficas. Participaram do estudo 6.149 pessoas. Multimorbidade foi mais frequente no sexo feminino, em casados, na faixa etária 50-59 anos de idade e em moradores da zona urbana. A maior parte da população saiu de casa entre uma e duas vezes na última semana, percentual que aumentou segundo o número de morbidades (22,3% sem morbidades e 38% com multimorbidade). Sair de casa todos os dias teve menor ocorrência entre indivíduos com multimorbidade (10,3%), e 9,3% saíram de casa na última semana para obter atendimento de saúde. Higienização de mãos (>98%) e sempre usar máscara ao sair de casa (>96%) foram hábitos quase universais. Observou-se maior adesão ao isolamento social entre as mulheres com multimorbidade quando comparadas com os homens (RP = 1,49;IC95%: 1,23-1,79);esta adesão aumentou proporcionalmente com a idade e inversamente ao nível de escolaridade. O comportamento de proteção em pessoas com multimorbidade parece ser maior em relação aos demais, embora questões relacionadas ao isolamento social e cuidado em saúde mereçam ser destacadas. Esses achados podem ser úteis na customização de estratégias de enfrentamento atual da pandemia. El objetivo fue medir la ocurrencia de comportamientos de protección contra la COVID-19 y factores sociodemográficos, según la ocurrencia de multimorbilidad, en la población brasileña con 50 años o más de edad. Se utilizaron datos de la encuesta telefónica entre participantes del ELSI-Brasil (Estudio Brasileño Longitudinal del Envejecimiento), realizado entre mayo y junio de 2020. Se evaluó el uso de medidas de prevención no farmacológica para la COVID-19, motivos para salir de casa, según la presencia de multimorbilidad y variables sociodemográficas. Participaron del estudio 6.149 personas. La multimorbilidad fue más frecuente en el sexo femenino, en casados, en la franja de edad 50-59 años de edad y en residentes de la zona urbana. La mayor parte de la población salió de casa entre una y dos veces en la última semana, porcentaje que aumentó según el número de morbilidades (22,3% sin morbilidades y 38% con multimorbilidad). Salir de casa todos los días tuvo una menor ocurrencia entre individuos con multimorbilidad (10,3%), y 9,3% salieron de casa en la última semana para obtener atención en salud. La higienización de manos (>98%) y siempre usar mascarilla al salir de casa (>96%) fueron hábitos casi universales. Se observó una mayor adhesión al aislamiento social entre las mujeres con multimorbilidad cuando se compararon con los hombres (RP = 1,49;IC95%: 1,23-1,79);esta adhesión aumentó proporcionalmente con la edad y fue inversamente proporcional al nivel de escolaridad. El comportamiento de protección en personas con multimorbilidad parece ser mayor respecto a los demás, a pesar de que las cuestiones relacionadas con el aislamiento social y cuidado en salud merezcan ser destacadas. Estos resultados pueden ser útiles en la personalización de estrategias de combate a la actual pandemia. To measure the occurrence of protective behaviors for COVID-19 and sociodemographic factors according to the occurrence of multimorbidity in the Brazilian population aged 50 or over was the objective of this study. We used data from telephone surveys among participants of ELSI-Brazil (Brazilian Longitudinal Study of Aging), conducted between May and June 2020. The use of non-pharmacological prevention measures for COVID-19, reasons for leaving home according to the presence of multimorbidity and sociodemographic variables were evaluated. among 6,149 individuals. Multimorbidity was more frequent in females, married, aged 50-59 years and residents of the urban area. Most of the population left home between once and twice in the last week, increasing according to the number of morbidities (22.3% no morbidities and 38% with multimorbidity). Leaving home every day was less common among individuals with multimorbidity (10.3%) and 9.3% left home in the last week to access health care. Hand hygiene (>98%) and always wearing a mask when leaving home (>96%) were almost universal habits. Greater adherence to social isolation was observed among women with multimorbidity when compared to men (PR = 1.49, 95%CI: 1.23-1.79). This adherence increased proportionally with age and inversely with the level of education. The protective behavior in people with multimorbidity seems to be greater in relation to the others, although issues related to social isolation and health care deserve to be highlighted. These findings can be useful in customizing strategies for coping with the current pandemic.