The burden of disease due to COVID-19 in Florianópolis, Santa Catarina, Brazil, over a one-year period. / A carga de doença por COVID-19 em Florianópolis, Santa Catarina, Brasil, no período de um ano.

COVID-19 has had a powerful impact on society with high rates of morbidity and mortality. The use of an epidemiological indicator that estimates the burden of a disease by aggregating early mortality and non-fatal cases in a single measure has the potential to assist in the planning of more appropriate actions at different levels of health care. The scope of this article is to estimate the burden of disease due to COVID-19 in Florianópolis/SC from April 2020 through March 2021. An ecological study was carried out with data from notification and deaths by COVID-19 in the period of 12 months. The burden indicator called Disability-Adjusted Life Years (DALY) was used, obtained by adding the Years of Life Lost (YLL) to the Years of healthy life lost due to disability (YLD). A total of 78,907 confirmed COVID-19 cases were included. Of these, 763 died during the period under study. Overall, 4,496.9 DALYs were estimated, namely a rate of 883.8 DALYs per 100,000 inhabitants. In males, there were 2,693.1 DALYs, a rate of 1,098.0 DALYs per 100,000 males. In women, there were 1,803.8 DALYs, a rate of 684.4 DALYs per100,000 women. The age group most affected in both sexes was 60 to 69 years. The burden of COVID-19 was high in the city studied. The highest rates were in females and in the 60-69 age group.

A COVID-19 gerou impacto na sociedade com elevados índices de morbidade e mortalidade. A utilização de indicador epidemiológico que estime a carga de doença, agregando em uma medida a mortalidade precoce e os casos não fatais, tem potencial de auxiliar no planejamento de ações adequadas em diferentes níveis de atenção à saúde. O objetivo deste artigo é estimar a carga de doença por COVID-19 em Florianópolis/SC de abril de 2020 a março de 2021. Foi realizado um estudo ecológico com dados de notificação e óbitos por COVID-19 no período de 12 meses. Utilizou-se o indicador de carga denominado Anos de Vida Perdidos Ajustados por Incapacidade (DALY), obtido pela soma dos Anos de Vida Perdidos (YLL) com os Anos Vividos com Incapacidade (YLD). Foram incluídos 78.907 casos de COVID-19 confirmados. Desses, 763 evoluíram a óbito no período estudado. No total, foram estimados 4.496,6 DALYs, taxa de 883,8 DALYs/100.000 habitantes. No sexo masculino, foram 2.693,1 DALYs, taxa de 1.098,0 DALYs/100.000 homens. Em mulheres, foram 1.803,8 DALYs, taxa de 684,4 DALYs/100.000 mulheres. A faixa etária mais acometida em ambos os sexos foi de 60 a 69 anos. Foi alta a carga de COVID-19 na cidade estudada. As maiores taxas foram encontradas no sexo feminino e na faixa-etária de 60-69 anos.

Socioeconomic inequality in hospital case fatality rate and care among children and adolescents hospitalized for COVID-19 in Brazil.

OBJECTIVE: To analyze the association of hospital case fatality rate and care received by children and adolescents hospitalized for COVID-19 with the gross domestic product (GDP) per capita of Brazilian municipalities and regions of residence. METHODS: Data were collected from the Influenza Epidemiological Surveillance Information System and the Brazilian Institute of Geography and Statistics. The dichotomous outcomes analyzed were hospital case fatality rate of COVID-19, biological samples collected for COVID-19 diagnosis, X-rays, computed tomography (CT) scans, use of ventilatory support, and intensive care unit hospitalization. The covariates were municipal GDP per capita and the Brazilian region of residence. Poisson regression was used for the outcomes recorded in 2020 and 2021 in Brazil, covering the two COVID-19 waves in the country, adjusted for age and gender. RESULTS: The hospital case fatality rate was 7.6%. In municipalities with lower GDP per capita deciles, the case fatality rate was almost four times higher among children and twice as high in adolescents compared to cities with higher deciles. Additionally, residents of municipalities with lower GDP per capita had fewer biological samples collected for diagnosis, X-ray examinations, and CT scans. We found regional disparities associated with case fatality rate, with worse indicators in the North and Northeast regions. The findings remained consistent over the two COVID-19 waves. CONCLUSION: Municipalities with lower GDP per capita, as well as the North and Northeast regions, had worse indicators of hospital case fatality rate and care.

Feature Importance Analysis by Nowcasting Perspective to Predict COVID-19

The present work raises an investigation about prediction and the feature importance to estimate the COVID-19 infection, using Machine Learning approach. Our work analyzed the inclusion of climatic features, mobility, government actions and the number of cases per health sub-territory from an existing model. The Random Forest with Permutation Importance method was used to assess the importance and list the thirty most relevant that represent the probability of infection of the disease. Among all features, the most important were: i) the variables per region health stand out, ii) period comprised between the date of notification and symptom onset, iii) symptoms features as fever, cough and sore throat, iv) variables of the traffic flow and mobility, and also v) wheathers features. The model was validated and reached an accuracy average of 81.82%, whereas the sensitivity and specificity achieved 87.52% and the 78.67% respectively in the infection estimate. Therefore, the proposed investigation represents an alternative to guide authorities in understanding aspects related to the disease. [ FROM AUTHOR] Copyright of Mobile Networks & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Effect of COVID-19 response policies on walking behavior in US cities.

The COVID-19 pandemic is causing mass disruption to our daily lives. We integrate mobility data from mobile devices and area-level data to study the walking patterns of 1.62 million anonymous users in 10 metropolitan areas in the United States. The data covers the period from mid-February 2020 (pre-lockdown) to late June 2020 (easing of lockdown restrictions). We detect when users were walking, distance walked and time of the walk, and classify each walk as recreational or utilitarian. Our results reveal dramatic declines in walking, particularly utilitarian walking, while recreational walking has recovered and even surpassed pre-pandemic levels. Our findings also demonstrate important social patterns, widening existing inequalities in walking behavior. COVID-19 response measures have a larger impact on walking behavior for those from low-income areas and high use of public transportation. Provision of equal opportunities to support walking is key to opening up our society and economy.

Role of systems science in preventing and controlling emerging infectious diseases: protocol for a scoping review.

INTRODUCTION: In recent history, many new infectious diseases have affected humans for the first time or have appeared in previously unaffected areas of the world; these diseases are known as emerging infectious diseases (EIDs). Examples of EIDs include COVID-19, Middle East respiratory syndrome and Ebola virus disease. EIDs are known for their complexity. Multiple factors play a role in their spread, including increases in human population, conflicts, urbanisation, air travel, global trade and inequalities in wealth distribution and access to healthcare. In order to gain a better understanding of such complexity, we aim to explore the role of systems science, which allows us to view EIDs in the context of complex adaptive systems rather than simple causes and effects. The objectives of this scoping review are to explore and map the theoretical concepts and key characteristics of studies that use systems methods in controlling EIDs, to identify the gaps in knowledge and disseminate the results. METHODS: We will follow the Joanna Briggs Institute guidance for this scoping review, comprising the following stages: formulating the research question and subquestions, scanning the literature for available data, selecting relevant publications, charting the data by two independent reviewers, aggregating the findings, reporting, summarising and disseminating the results. We will review peer-reviewed articles, preprints and grey literature available in all languages. DISCUSSION: We intend that this scoping review will contribute to a better understanding of the use of systems methods to inform policymakers about how to prevent and control EIDs. ETHICS AND DISSEMINATION: Research ethics approval is not required for a scoping review because it is based on reviewing and collecting data from publicly available sources. To disseminate the findings, results will be shared through academic publications, seminars and conferences.

The potential spread of Covid-19 and government decision-making: a retrospective analysis in Florianópolis, Brazil

RESUMO: Objetivo: Analisar a relação entre o potencial de propagação do SARS-CoV-2 e as tomadas de decisão do governo municipal de Florianópolis, Brasil, quanto ao distanciamento social. Métodos: Foram analisados casos novos de COVID-19 com tratamento de nowcasting identificados em residentes de Florianópolis entre 1º de fevereiro e 14 de julho de 2020. Também foram examinados os decretos relacionados à COVID-19 publicados no Diário Oficial do Município entre 1º de fevereiro e 14 de julho de 2020. Com base nas ações dispostas nos decretos, analisou-se se elas promoviam o relaxamento, o aumento ou a manutenção das restrições vigentes, criando-se o Índice de Distanciamento Social. Para o período de 14 dias anteriores a cada decreto, calcularam-se os números de reprodução dependente do tempo (Rt). Construiu-se uma matriz entre a classificação de cada decreto e os valores de Rt, verificando-se a consonância ou a dissonância entre o potencial de disseminação do SARS-CoV-2 e as ações dos decretos. Resultados: Foram analisados 5.374 casos de COVID-19 e 26 decretos. Nove decretos aumentaram as medidas de distanciamento social, nove as mantiveram e oito as flexibilizaram. Das 26 ações, nove eram consonantes e 17 dissonantes com a tendência indicada pelos Rt. Dissonâncias foram observadas com todos os decretos que mantiveram as medidas de distanciamento e os que as flexibilizaram. No segundo bimestre da análise houve a mais rápida expansão do número de casos novos e a maior quantidade de dissonâncias dos decretos. Conclusão: Observou-se importante divergência entre as medidas de distanciamento social com indicadores epidemiológicos no momento da decisão política. ABSTRACT: Objective: To analyze the association between the transmission potential of SARS-CoV-2 and the decisions made by the municipal government of Florianópolis (Brazil) regarding social distancing. Methods: We analyzed new cases of COVID-19 identified in Florianópolis residents between February 1 and July 14, 2020, using a nowcasting approach. Decrees related to COVID-19 published in the Official Gazette of the Municipality between February 1 and July 14, 2020 were also analyzed. Based on the actions proposed in the decrees, whether they loosened social distancing measures, or increased or maintained existing restrictions, was analyzed, thus creating a Social Distancing Index. Time-dependent reproduction numbers (Rt) for a period of 14 days prior to each decree were calculated. A matrix was constructed associating the classification of each decree and the Rt values, analyzing the consonance or dissonance between the potential dissemination of SARS-CoV-2 and the actions of the decrees. Results: A total of 5,374 cases of COVID-19 and 26 decrees were analyzed. Nine decrees increased social distancing measures, nine maintained them, and eight loosened them. Of the 26 actions, 9 were consonant and 17 dissonant with the tendency indicated by the Rt. Dissonance was observed in all of the decrees that maintained the distance measures or loosened them. The fastest expansion in the number of new cases and the greatest amount of dissonant decrees was found in the last two months analyzed. Conclusion: There was an important divergence between municipal measures of social distancing with epidemiological indicators at the time of each political decision.

The potential spread of Covid-19 and government decision-making: a retrospective analysis in Florianópolis, Brazil. / O potencial de propagação da COVID-19 e a tomada de decisão governamental: uma análise retrospectiva em Florianópolis, Brasil.

OBJECTIVE: To analyze the association between the transmission potential of SARS-CoV-2 and the decisions made by the municipal government of Florianópolis (Brazil) regarding social distancing. METHODS: We analyzed new cases of COVID-19 identified in Florianópolis residents between February 1 and July 14, 2020, using a nowcasting approach. Decrees related to COVID-19 published in the Official Gazette of the Municipality between February 1 and July 14, 2020 were also analyzed. Based on the actions proposed in the decrees, whether they loosened social distancing measures, or increased or maintained existing restrictions, was analyzed, thus creating a Social Distancing Index. Time-dependent reproduction numbers (Rt) for a period of 14 days prior to each decree were calculated. A matrix was constructed associating the classification of each decree and the Rt values, analyzing the consonance or dissonance between the potential dissemination of SARS-CoV-2 and the actions of the decrees. RESULTS: A total of 5,374 cases of COVID-19 and 26 decrees were analyzed. Nine decrees increased social distancing measures, nine maintained them, and eight loosened them. Of the 26 actions, 9 were consonant and 17 dissonant with the tendency indicated by the Rt. Dissonance was observed in all of the decrees that maintained the distance measures or loosened them. The fastest expansion in the number of new cases and the greatest amount of dissonant decrees was found in the last two months analyzed. CONCLUSION: There was an important divergence between municipal measures of social distancing with epidemiological indicators at the time of each political decision.

OBJETIVO: Analisar a relação entre o potencial de propagação do SARS-CoV-2 e as tomadas de decisão do governo municipal de Florianópolis, Brasil, quanto ao distanciamento social. MÉTODOS: Foram analisados casos novos de COVID-19 com tratamento de nowcasting identificados em residentes de Florianópolis entre 1º de fevereiro e 14 de julho de 2020. Também foram examinados os decretos relacionados à COVID-19 publicados no Diário Oficial do Município entre 1º de fevereiro e 14 de julho de 2020. Com base nas ações dispostas nos decretos, analisou-se se elas promoviam o relaxamento, o aumento ou a manutenção das restrições vigentes, criando-se o Índice de Distanciamento Social. Para o período de 14 dias anteriores a cada decreto, calcularam-se os números de reprodução dependente do tempo (Rt). Construiu-se uma matriz entre a classificação de cada decreto e os valores de Rt, verificando-se a consonância ou a dissonância entre o potencial de disseminação do SARS-CoV-2 e as ações dos decretos. RESULTADOS: Foram analisados 5.374 casos de COVID-19 e 26 decretos. Nove decretos aumentaram as medidas de distanciamento social, nove as mantiveram e oito as flexibilizaram. Das 26 ações, nove eram consonantes e 17 dissonantes com a tendência indicada pelos Rt. Dissonâncias foram observadas com todos os decretos que mantiveram as medidas de distanciamento e os que as flexibilizaram. No segundo bimestre da análise houve a mais rápida expansão do número de casos novos e a maior quantidade de dissonâncias dos decretos. CONCLUSÃO: Observou-se importante divergência entre as medidas de distanciamento social com indicadores epidemiológicos no momento da decisão política.