RESUMO
Introdução:No final de 2019 um novo coronavírus com alta taxa de transmissibilidade foi identificado na China. Em março de 2020a Organização Mundial da Saúde declarou apandemia de Covid-19. Apandemiateve impacto na vida dos indivíduos, das famílias e da sociedade em geral. As pessoas tiveram dese adaptar à nova realidadee manifestaram diferentes emoçõese sentimentosdevido à situação pandêmica. As emoções vividas eo isolamento social necessário motivarama adoção de estratégias por parte das pessoas para se sentirem mais adaptadas e equilibradas anível físico e mental no seu dia a dia.Objetivo:O presente artigo tem como objetivo descrever e analisar as emoções, sentimentose estratégias adotadas por brasileiros e portugueses durante a pandemia da Covid-19. Metodologia:Este estudo faz parte de uma pesquisa mais ampla, realizada através de um questionário sociodemográfico com perguntas abertas e fechadas, efetuadono Google Forms, aplicado onlineem maio de 2020. Noquestionário foram abordadas as emoções e estratégias desenvolvidas e adotadas pelos 438 entrevistados (257 brasileiros;181 portugueses) durante a pandemia.A análise dosdados foi realizada através deestatística descritiva e análise de conteúdo temática.Resultados:Verificou-se que nos dois países, as emoções mais manifestadas foram medo e tristeza e as principais estratégias adotadas foram a criação de horários com rotinas diárias eexercício físicomas também algumas estratégias diferentes entre brasileiros e portugueses.Conclusões:Em momentos de crise pessoas de diferentes culturas experienciam emoções semelhantes tais como medo e tristeza e ajustam as suas rotinas diárias criando diferentes estratégias para enfrentar a adversidade de acordo com o seu contexto sociocultural (AU).
Introduction:At the end of 2019, a new coronavirus with a high transmissibility rate was identified in China. In March 2020, the World Health Organization declared the Covid-19 pandemic. The pandemic situation has had an impact on people's lives, families, and society.People had to adapt to the new reality and expressed different emotions and feelings due to the pandemic situation. The emotions experienced and the necessary social isolation motivated people to adopt strategies to feel more adapted and balanced on a physical and mental level in their daily lives. Objective: This article aims to describe and analyze the emotions, feelings and strategies adopted by Brazilians and Portuguese during the Covid-19 pandemic. Methodology:This study is part of a broader research, carriedout using a sociodemographic questionnaire with open and closed questions, carried out on Google Forms, applied online in May 2020. The questionnaire addressed the emotions and strategies developed and adopted by the 438 interviewees (257 Brazilians and 181 Portuguese) during the pandemic. Data analysis was carried out using descriptive statistics and thematic content analysis. Results: It was found that in both countries, the most expressed emotions were fear and sadness and the main strategies adopted were the creation of schedules with daily routines and physical exercise but also some different strategies between Brazilians and Portuguese. Conclusions: In times of crisis, people from different cultures experience similar emotions such as fear and sadness and adjust their daily routines, creating different strategies to face adversity according to their sociocultural context (AU).
Introducción: A finales de 2019, se identificó en China un nuevo coronavirus con una alta tasa de transmisibilidad. En marzo de 2020, la Organización Mundial de la Salud declaró la pandemia de Covid-19. La situación de pandemia ha repercutido en la vida de las personas, las familias y la sociedad. Las personas han tenido que adaptarse a la nueva realidad. En este contexto pandémico, las personas han expresado diferentes emociones y sentimientos debido a la nueva realidad social que han experimentado, y han creado estrategias para sentirse más adaptadas y equilibradas a nivel físico y mental en su vida diaria.Objetivo: Identificar y describir las principales emociones y sentimientos experimentados por brasileños y portugueses, así como crear estrategias para adaptarse a la situación durante el periodo de bloqueo de la pandemia Covid-19.Metodología:Este estudio forma parte de una encuesta más amplia, llevada a cabo mediante un cuestionario sociodemográfico con preguntas abiertas y cerradas, realizado en Google Forms, aplicado onlineen mayo de 2020, que indagaba sobre las emociones y los sentimientos experimentados en relación con la situación de pandemia y las estrategias creadas. La muestra fue de 438 participantes, 181 portugueses y 257 brasileños. Los datos se analizaron mediante estadística descriptiva y análisis del discurso.Resultados: En ambos países, el miedo y la tristeza fueron las emociones más expresadas. La mayoría de las estrategias utilizadas fueron el establecimiento de un horario y el ejercicio físico, pero también hubo algunas estrategias diferentes entre brasileños y portugueses.Conclusiones: En momentos de crisis, personas de diferentes culturas experimentan emociones similares como el miedo y la tristeza y ajustan sus rutinas diarias creando diferentes estrategias para enfrentar la adversidad de acuerdo con su contexto sociocultural (AU).
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Humanos , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Idoso , Isolamento Social , Estratégias de Saúde , Emoções , COVID-19/transmissão , Portugal/epidemiologia , Brasil/epidemiologia , Epidemiologia Descritiva , Inquéritos e Questionários , Estudos EcológicosRESUMO
The World Health Organization (WHO) declared an international state of emergency in order to contain the rapid spread of COVID-19. To ensure that there is adherence to preventive measures by the population aimed at controlling the pandemic in Alagoas, it is expected that knowledge, behavior and practices play an important role in preventing and controlling the disease. In this sense, it becomes relevant to understand the knowledge of the population about the disease. To evaluate the knowledge, behavior and practices of social media users during social isolation to prevent the transmission of the SARS-CoV-2 in the state of Alagoas, Northeast, Brazil. A probabilistic sample was carried out across the entire territory of the state of Alagoas with those who have access to a device that accesses the internet and a cross-sectional study was carried out using an online questionnaire applied to a convenience sample, recruited between August 2021 and July 2022 by snowball sampling. The questionnaire consisted of seven sessions, the first collecting data on the socioeconomic and sociodemographic profile of the participants, and the other sessions involving knowledge, attitudes and practices, including topics related to the vaccination that had to be administered at that time. High popular knowledge about signs and symptoms, means of transmission and risk groups. Low knowledge about seeking health services. Based on the results obtained, information from official channels became relevant to better teach the population in order to reduce the impact of COVID-19.
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COVID-19 , Conhecimentos, Atitudes e Prática em Saúde , SARS-CoV-2 , Humanos , COVID-19/prevenção & controle , COVID-19/transmissão , COVID-19/epidemiologia , Brasil/epidemiologia , Estudos Transversais , Masculino , Adulto , Feminino , Inquéritos e Questionários , Pessoa de Meia-Idade , Adulto Jovem , Pandemias/prevenção & controle , Adolescente , Fatores Socioeconômicos , Mídias Sociais , IdosoRESUMO
Mobility is a crucial element in comprehending the possible expansion of the transmission chain in an epidemic. In the initial phases, strategies for containing cases can be directly linked to population mobility restrictions, especially when only non-pharmaceutical measures are available. During the pandemic of COVID-19 in Brazil, mobility limitation measures were strongly opposed by a large portion of the population. Hypothetically, if the population had supported such measures, the sharp rise in the number of cases could have been suppressed. In this context, computational modeling offers systematic methods for analyzing scenarios about the development of the epidemiological situation taking into account specific conditions. In this study, we examine the impacts of interstate mobility in Brazil. To do so, we develop a metapopulational model that considers both intra and intercompartmental dynamics, utilizing graph theory. We use a parameter estimation technique that allows us to infer the effective reproduction number in each state and estimate the time-varying transmission rate. This makes it possible to investigate scenarios related to mobility and quantify the effect of people moving between states and how certain measures to limit movement might reduce the impact of the pandemic. Our results demonstrate a clear association between the number of cases and mobility, which is heightened when states are closer to each other. This serves as a proof of concept and shows how reducing mobility in more heavily trafficked areas can be more effective.
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Número Básico de Reprodução , COVID-19 , Simulação por Computador , Conceitos Matemáticos , Modelos Biológicos , Pandemias , SARS-CoV-2 , COVID-19/transmissão , COVID-19/epidemiologia , COVID-19/prevenção & controle , Humanos , Brasil/epidemiologia , Número Básico de Reprodução/estatística & dados numéricos , Pandemias/prevenção & controle , Pandemias/estatística & dados numéricos , Modelos Epidemiológicos , Quarentena/estatística & dados numéricosRESUMO
BACKGROUND: Detecting and foreseeing pathogen dispersion is crucial in preventing widespread disease transmission. Human mobility is a fundamental issue in human transmission of infectious agents. Through a mobility data-driven approach, we aimed to identify municipalities in Brazil that could comprise an advanced sentinel network, allowing for early detection of circulating pathogens and their associated transmission routes. METHODS: In this modelling and validation study, we compiled a comprehensive dataset on intercity mobility spanning air, road, and waterway transport from the Brazilian Institute of Geography and Statistics (2016 data), National Transport Confederation (2022), and National Civil Aviation Agency (2017-23). We constructed a graph-based representation of Brazil's mobility network. The Ford-Fulkerson algorithm was used to rank the 5570 Brazilian cities according to their suitability as sentinel locations, allowing us to predict the most suitable locations for early detection and to track the most likely trajectory of a newly emerged pathogen. We also obtained SARS-CoV-2 genetic data from Brazilian municipalities during the early stage (Feb 25-April 30, 2020) of the virus's introduction and the gamma (P.1) variant emergence in Manaus (Jan 6-March 1, 2021), for the purposes of model validation. FINDINGS: We found that flights alone transported 79·9 million (95% CI 58·3-101·4 million) passengers annually within Brazil during 2017-22, with seasonal peaks occurring in late spring and summer, and road and river networks had a maximum capacity of 78·3 million passengers weekly in 2016. By analysing the 7â746â479 most probable paths originating from source nodes, we found that 3857 cities fully cover the mobility pattern of all 5570 cities in Brazil, 557 (10·0%) of which cover 6â313â380 (81·5%) of the mobility patterns in our study. By strategically incorporating mobility patterns into Brazil's existing influenza-like illness surveillance network (ie, by switching the location of 111 of 199 sentinel sites to different municipalities), our model predicted that mobility coverage would have a 33·6% improvement from 4â059â155 (52·4%) mobility patterns to 5â422â535 (70·0%) without expanding the number of sentinel sites. Our findings are validated with genomic data collected during the SARS-CoV-2 pandemic period. Our model accurately mapped 22 (51%) of 43 clade 1-affected cities and 28 (60%) of 47 clade 2-affected cities spread from São Paulo city, and 20 (49%) of 41 clade 1-affected cities and 28 (58%) of 48 clade 2-affected cities spread from Rio de Janeiro city, Feb 25-April 30, 2020. Additionally, 224 (73%) of the 307 suggested early-detection locations for pathogens emerging in Manaus corresponded with the first cities affected by the transmission of the gamma variant, Jan 6-16, 2021. INTERPRETATION: By providing essential clues for effective pathogen surveillance, our results have the potential to inform public health policy and improve future pandemic response efforts. Our results unlock the potential of designing country-wide clinical sample collection networks with mobility data-informed approaches, an innovative practice that can improve current surveillance systems. FUNDING: Rockefeller Foundation.
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COVID-19 , SARS-CoV-2 , Humanos , Brasil/epidemiologia , COVID-19/transmissão , COVID-19/epidemiologia , Cidades , Meios de TransporteRESUMO
Temperature and humidity are studied in the context of seasonal infections in temperate and tropical zones, but the relationship between viral trends and climate variables in temperate subtropical zones remains underexplored. Our retrospective study analyzes respiratory pathogen incidence and its correlation with climate data in a subtropical zone. Retrospective observational study at Moinhos de Vento Hospital, South Brazil, aiming to assess seasonal trends in respiratory pathogens, correlating them with climate data. The study included patients of all ages from various healthcare settings, with data collected between April 2022 and July 2023. Biological samples were analyzed for 24 pathogens using polymerase chain reaction and hybridization techniques; demographic variables were also collected. The data was analyzed descriptively and graphically. Spearman tests and Poisson regression were used as correlation tests. Tests were clustered according to all pathogens, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza viruses, rhinovirus, and respiratory syncytial virus (RSV). Between April 2022 and July 2023, 3329 tests showed a 71.6% positivity rate. Rhinovirus and RSV predominated, exhibiting seasonal patterns. Temperature was inversely correlated with the viruses, notably rhinovirus, but SARS-CoV-2 was positively correlated. Air humidity was positively correlated with all pathogens, RSV, rhinovirus, and atmospheric pressure with all pathogens and rhinovirus. Our results showed statistically significant correlations, with modest effect sizes. Our study did not evaluate causation effects. Despite the correlation between climate and respiratory pathogens, our work suggests additional factors influencing transmission dynamics. Our findings underscore the complex interplay between climate and respiratory infections in subtropical climates.
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COVID-19 , Umidade , Estações do Ano , Temperatura , Humanos , Estudos Retrospectivos , COVID-19/epidemiologia , COVID-19/transmissão , COVID-19/virologia , Brasil/epidemiologia , Feminino , Masculino , Adulto , Pessoa de Meia-Idade , Criança , Adolescente , Pré-Escolar , Idoso , Adulto Jovem , Lactente , SARS-CoV-2/genética , SARS-CoV-2/isolamento & purificação , Clima , Infecções Respiratórias/virologia , Infecções Respiratórias/epidemiologia , Clima Tropical , Recém-Nascido , Rhinovirus/genética , Rhinovirus/isolamento & purificação , Incidência , Infecções por Vírus Respiratório Sincicial/epidemiologia , Infecções por Vírus Respiratório Sincicial/virologia , Idoso de 80 Anos ou maisRESUMO
This study examines the epidemiological and genomic characteristics, along with the transmission dynamics, of SARS-CoV-2 within prison units I and II in Campo Grande, Mato Grosso do Sul, Brazil. Conducted between May and October 2022, it reveals how the virus spreads in the confined settings of prisons, emphasizing the roles of overcrowded cells, frequent transfers, and limited healthcare access. The research involved 1927 participants (83.93% of the total prison population) and utilized nasopharyngeal swabs and RT-qPCR testing for detection. Contact tracing monitored exposure within cells. Out of 2108 samples, 66 positive cases were identified (3.13%), mostly asymptomatic (77.27%), with the majority aged 21-29 and varying vaccination statuses. Next-generation sequencing generated 28 whole genome sequences, identifying the Omicron variant (subtypes BA.2 and BA.5) with 99% average coverage. Additionally, the study seeks to determine the relationship between immunization levels and the incidence of SARS-CoV-2 cases within this enclosed population. The findings underscore the necessity of comprehensive control strategies in prisons, including rigorous screening, isolation protocols, vaccination, epidemiological monitoring, and genomic surveillance to mitigate disease transmission and protect both the incarcerated population and the broader community.
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COVID-19 , Prisões , SARS-CoV-2 , Humanos , COVID-19/epidemiologia , COVID-19/virologia , COVID-19/transmissão , COVID-19/diagnóstico , Brasil/epidemiologia , SARS-CoV-2/genética , SARS-CoV-2/isolamento & purificação , SARS-CoV-2/classificação , Adulto , Masculino , Adulto Jovem , Feminino , Pessoa de Meia-Idade , Busca de Comunicante , Adolescente , Prisioneiros/estatística & dados numéricos , Genoma Viral , Sequenciamento Completo do Genoma , Monitoramento Epidemiológico , Idoso , FilogeniaRESUMO
Genomic surveillance (GS) programmes were crucial in identifying and quantifying the mutating patterns of SARS-CoV-2 during the COVID-19 pandemic. In this work, we develop a Bayesian framework to quantify the relative transmissibility of different variants tailored for regions with limited GS. We use it to study the relative transmissibility of SARS-CoV-2 variants in Chile. Among the 3443 SARS-CoV-2 genomes collected between January and June 2021, where sampling was designed to be representative, the Gamma (P.1), Lambda (C.37), Alpha (B.1.1.7), B.1.1.348, and B.1.1 lineages were predominant. We found that Lambda and Gamma variants' reproduction numbers were 5% (95% CI: [1%, 14%]) and 16% (95% CI: [11%, 21%]) larger than Alpha's, respectively. Besides, we observed a systematic mutation enrichment in the Spike gene for all circulating variants, which strongly correlated with variants' transmissibility during the studied period (r = 0.93, p-value = 0.025). We also characterised the mutational signatures of local samples and their evolution over time and with the progress of vaccination, comparing them with those of samples collected in other regions worldwide. Altogether, our work provides a reliable method for quantifying variant transmissibility under subsampling and emphasises the importance of continuous genomic surveillance.
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Teorema de Bayes , COVID-19 , Mutação , SARS-CoV-2 , Chile , Humanos , SARS-CoV-2/genética , SARS-CoV-2/isolamento & purificação , COVID-19/transmissão , COVID-19/virologia , COVID-19/epidemiologia , Genoma Viral , Glicoproteína da Espícula de Coronavírus/genéticaRESUMO
Introduction: COVID-19 is an infectious disease caused by SARS-CoV-2 that has become a serious threat to public health owing to its rapid spread from aerosols from infected people. Despite being considered a strictly human disease, there are reports in the literature about animals with confirmed presence of the virus. Aim: Owing to the scarcity of scientific literature on the potential for infection of animals and their importance for One Health, the objective of this work was to research SARS-CoV-2 RNA in felines (Felis silvestris catus) and dogs (Canis lupus familiaris) domiciled. Materials and Methods: Oropharyngeal swabs were collected from domestic dogs and cats belonging to patients diagnosed with COVID-19 from August to October 2021 and residents of the northwest and west regions of Paraná, Brazil. Results: Of the 34 samples collected, 14 were from dogs and 20 from cats. Three of these samples tested positive in real-time PCR, and two of them were also positive in the immunochromatographic test. After testing positive in real-time PCR, the samples underwent genetic sequencing using the Illumina COVIDSeq test. Of the 34 samples collected, three (9%), all of them female and from the feline species, tested positive in real-time PCR, with two of these (67%) also testing positive in the immunochromatographic test. Regarding sequencing, it was possible to sequence the three samples aligned with the AY.101 lineage, corresponding to the Delta variant. Conclusion: The occurrence of SARS-CoV-2 infection in dogs and cats is seen as an unintended event with significant implications for public health, including its potential transmission to other animal species. Further research is required to enhance our understanding of how this disease spreads among these animals and its broader impact on One Health initiatives.
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COVID-19 , Gatos , Cães , Animais de Estimação , SARS-CoV-2 , Animais , Gatos/virologia , Cães/virologia , Brasil , COVID-19/diagnóstico , COVID-19/transmissão , COVID-19/virologia , Paraguai , Animais de Estimação/virologia , Filogenia , Reação em Cadeia da Polimerase em Tempo Real , SARS-CoV-2/classificação , SARS-CoV-2/genética , SARS-CoV-2/isolamento & purificação , FemininoRESUMO
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was declared a pandemic by the World Health Organization in March 2020. Since then, viral spread from humans to animals has occurred worldwide. Nonhuman primates (NHPs) have been found to be susceptible to reverse-zoonosis transmission of SARS-CoV-2, but initial research suggested that platyrrhine primates are less susceptible than catarrhine primates. Here we report the natural SARS-CoV-2 infection of a common woolly monkey (Lagothrix lagothricha) from a wildlife rehabilitation center in Ecuador. The course of the disease, the eventual death of the specimen, and the pathological findings are described. Our results show the susceptibility of a new platyrrhine species to SARS-CoV-2 and provide evidence for the first time of a COVID-19-associated death in a naturally infected NHP. The putative route of transmission from humans, and implications for captive NHPs management, are also discussed. Given that common woolly monkeys are at risk of extinction in Ecuador, further understanding of the potential threat of SARS-CoV-2 to their health should be a conservation priority. A One Health approach is the best way to protect NHPs from a new virus in the same way that we would protect the human population.
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Atelinae , COVID-19 , Doenças dos Macacos , SARS-CoV-2 , Animais , COVID-19/veterinária , COVID-19/mortalidade , COVID-19/transmissão , Atelinae/virologia , Equador/epidemiologia , Doenças dos Macacos/virologia , Evolução Fatal , Masculino , FemininoRESUMO
Asymptomatic and underreported individuals remain a source of coronafig disease 2019 (COVID-19) transmission to others. Data on the prevalence and epidemiological factors influencing transmission are fundamental for establishing control measures, especially in vulnerable regions such as the Amazon. This study aimed to determine the point prevalence and active infection of COVID-19 among the population in Araguaína, a Brazilian city located in the Amazon region, analyzed the socioeconomic and behavioral variables of a statistically representative sample of this population using an epidemiological survey, and identify the viral genomic diversity in the region. During the sixth epidemiological week of 2021 (February 8 to 12), samples of 497 inhabitants of the municipality asymptomatic for respiratory syndromes underwent reverse transcription-quantitative polymerase chain reaction and serological tests (immunoglobulin M and immunoglobulin G). A questionnaire collated data on socioeconomic factors, prevention measures, and health status history. The active infection rate was 6.2%, and the prevalence was 13.5% of the study population. Active infection cases were under-reported; each reported positive case represented 14-28 under-reported cases. Lineages P.2, P.1, and B.1.1 were detected. Working from home was a protective factor against the infection, and clinical signs of fever, dry cough, and loss of taste or smell were associated with testing positive (p <0.05). A descriptive analysis of the indicators revealed that the entire population was susceptible to the disease. Intensified vaccination strategies are required regardless of socioeconomic factors, health conditions, and preventive measures. Implementation of objective, comprehensive, and efficient management tools to minimize the spread of COVID-19 in this municipality can serve as a model for other regions of Brazil.