Dataset Information

Impact of social isolation due to COVID-19 on the seasonality of pediatric respiratory diseases.

ABSTRACT:

Introduction

Respiratory tract diseases are the major cause of morbidity and mortality in children under the age of 5 years, constituting the highest rate of hospitalization in this age group.

Objectives

To determine the prevalence of hospitalizations for respiratory diseases in childhood in the last 5 years and to assess the impact of social isolation due to COVID-19 on the seasonal behavior of these diseases.

Methods

A cross-sectional clinical study was carried out, with a survey of all patients aged 0 to 17 years who were admitted with a diagnosis of respiratory diseases between January 2015 and July 2020. The database was delivered to the researchers anonymized. The variables used for analysis were date of admission, date of discharge, length of stay, age, sex and diagnosis. In order to make the analysis possible, the diagnoses were grouped into upper respiratory infection (URI), asthma / bronchitis, bronchiolitis and pneumonia.

Results

2236 admissions were included in the study. Children under 5 years old account for 81% of hospitalizations for respiratory disease in our population. In the adjusted model, an average reduction of 38 hospitalizations was observed in the period of social isolation (coefficient: -37.66; 95% CI (- 68.17; -7.15); p = 0.016).

Conclusion

The social isolation measures adopted during the COVID-19 pandemic dramatically interfered with the seasonality of childhood respiratory diseases. This was reflected in the unexpected reduction in the number of hospitalizations in the pediatric population during this period.

SUBMITTER: Nascimento MS

PROVIDER: S-EPMC7732104 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

Impact of social isolation due to COVID-19 on the seasonality of pediatric respiratory diseases.

Nascimento Milena Siciliano MS Baggio Diana Milena DM Fascina Linus Pauling LP do Prado Cristiane C

PloS one 20201211 12

<h4>Introduction</h4>Respiratory tract diseases are the major cause of morbidity and mortality in children under the age of 5 years, constituting the highest rate of hospitalization in this age group.<h4>Objectives</h4>To determine the prevalence of hospitalizations for respiratory diseases in childhood in the last 5 years and to assess the impact of social isolation due to COVID-19 on the seasonal behavior of these diseases.<h4>Methods</h4>A cross-sectional clinical study was carried out, with ...[more]

PMID: 33306735

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Project description:IntroductionInterventions to deal with the COVID-19 pandemic may impact the burden of other respiratory diseases. The aim of this study is to analyze the impact of non-pharmacological initiatives (NPI) against COVID-19 on the number of hospitalizations due to pediatric acute respiratory illnesses (ARIs).Material and methodsThis is a retrospective analysis of pediatric hospitalizations in Porto Alegre, Brazil. We analyzed the monthly incidence of hospital admissions from 2018 to 2020 due to ARIs included in the study. The time series was divided into the period before introducing NPI (2018 and 2019), and the period when NPI were running (2020). We compared means between the years with Student's t-test. The Dickey-Fuller test was used for secular trend analysis. For seasonality, Fischer's G test was performed. Dynamic linear univariate and multivariate models were used to estimate the association between the predictors (the introduction of NPI, secular trend, and seasonality) and outcome (the incidence of ARI admissions). For the statistical analysis, the cut-off probability for rejecting the null hypothesis was defined as <5%.ResultsFrom 2018 to 2020, 10,109 hospital admissions were due to the respiratory causes included in this study. There was a significant decrease in 2020 in the mean incidence of the ARIs studied compared with 2018 and 2019. The number of hospitalizations due to respiratory diseases in children decreased by 64% for asthma and 93% for bronchiolitis. A secular trend of monthly admissions rates due to ARIs was only observed in the laryngotracheitis data (p = 0.485), but seasonality was detected in all analyses. According to the univariate and multivariate analysis, the introduction of NPI was associated with a decrease in the incidence of ARI admissions.ConclusionThere was a significant reduction in hospital admissions due to ARIs in children. Our data suggest a significant impact of NPI on reducing the spread of viruses associated with ARIs in children. These results support respiratory illness prevention strategies.

Project description:Coronavirus disease (COVID-19) spread across the globe through the human transmission. The World Health Organization suggested social distancing to curb the community spread. After national social lockdown started in India, air quality improved drastically. This further hypothesized to influence the environment and human health, and this study is positively the first to weigh it using multiple indices. The calculated environmental indices are photochemical ozone creation potential (POCP), acidification potential (AP), and eutrophication potential (EP). The cancer risk, chronic health index (CHI), and acute health index (AHI) were considered to calculate the health risk. The spatial trend change in the air pollution reflecting on these indices are calculated for four Indian megacities Delhi, Bangalore, Hyderabad, and Kolkata. Temporal variation was accounted for monthly (2019 vs 2020), one-week and two-weeks period during the social lockdown. The results showed a significant decrease in environmental and health risk during the lockdown due to a corresponding decrement in air pollution. The decrease in the particulate matter was found to play a vital role in altering the air pollution mediated risks of interest. Delhi showed a maximum difference in POCP and Acute HI by recording a dip of 70.79% and 43.53% respectively in 2020 during lockdown. The maximum reduction in health risk indices was 41%, 31%, 17%, 19% for Delhi, Bangalore, Hyderabad, and Kolkata. Bangalore recorded the maximum decline in EP, Cancer risk, Chronic HI by 66.66%, 58.62%, and 58.76% in 2020 compared to 2019. A maximum fall in AP was seen in Kolkata by 57.23% in 2020 among all cities. The connection between these drop-in indices and the cause of air pollutants were well discussed. This present paper gives more in-depth insights into air pollution's effect on environmental and health parameters by connecting and converging various air pollution aspects into a single scale. This study also enlightens the importance of controlling air pollution to have a better environment and healthy life to attain sustainable development.

Project description:Successive waves of infection by SARS-CoV-2 have left little doubt that this virus will transition to an endemic disease. Foreknowledge of when to expect seasonal surges is crucial for healthcare and public health decision-making. However, the future seasonality of COVID-19 remains uncertain. Evaluating its seasonality is complicated due to the limited years of SARS-CoV-2 circulation, pandemic dynamics, and varied interventions. In this study, we project the expected endemic seasonality by employing a phylogenetic ancestral and descendant state approach that leverages long-term data on the incidence of circulating HCoV coronaviruses. Our projections indicate asynchronous surges of SARS-CoV-2 across different locations in the northern hemisphere, occurring between October and January in New York and between January and March in Yamagata, Japan. This knowledge of spatiotemporal surges leads to medical preparedness and enables the implementation of targeted public health interventions to mitigate COVID-19 transmission.IMPORTANCEThe seasonality of COVID-19 is important for effective healthcare and public health decision-making. Previous waves of SARS-CoV-2 infections have indicated that the virus will likely persist as an endemic pathogen with distinct surges. However, the timing and patterns of potentially seasonal surges remain uncertain, rendering effective public health policies uninformed and in danger of poorly anticipating opportunities for intervention, such as well-timed booster vaccination drives. Applying an evolutionary approach to long-term data on closely related circulating coronaviruses, our research provides projections of seasonal surges that should be expected at major temperate population centers. These projections enable local public health efforts that are tailored to expected surges at specific locales or regions. This knowledge is crucial for enhancing medical preparedness and facilitating the implementation of targeted public health interventions.

Dataset Information

Impact of social isolation due to COVID-19 on the seasonality of pediatric respiratory diseases.

Introduction

Objectives

Methods

Results

Conclusion

Publications

Impact of social isolation due to COVID-19 on the seasonality of pediatric respiratory diseases.

Similar Datasets

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