Dataset Information

Real-time effects of COVID-19 pandemic lockdown on pediatric respiratory patients.

ABSTRACT:

Objective

A national lockdown was implemented in Israel to slow the viral spread of COVID-19. We assessed the real-time effects of the lockdown on disease expression and lifestyle modifications in pediatric patients with chronic respiratory disorders.

Methods

An anonymous electronic questionnaire was distributed during lockdown (March-May 2020) to caregivers of patients with chronic respiratory disorders. The primary outcome was change in disease expression and the secondary outcomes were changes in lifestyle and caregivers' emotional status.

Results

The clinical status of one-third of the 445 participating patients (age 0-18 years) reportedly improved, including decreased respiratory symptoms (n = 133, 33%), exacerbation frequency (n = 147, 35%), and use of reliever medications (n = 101, 27.4%). The condition of ~10% of the patients worsened. Clinical improvement was noted mostly in young patients <5 years (p = .001), asthmatic patients (p = .033), and patients with multiple underlying respiratory disorders (p = .015). Patients whose condition significantly worsened were more likely to be >5 years (p < .001), had increased screen time, decreased physical activity, and shorter sleep duration compared to their younger counterparts (p = .008, <.001, and .001, respectively). Caregivers' reports (n = 236 [58%]) of their own anxiety levels and perceptions of the patients' elevated health risk were increased, regardless of the children's actual clinical status.

Conclusion

COVID-19 lockdown was associated with clinical improvement/stability for most of the surveyed children; however, their caregivers' anxiety level was heightened. An increased sedentary lifestyle was reported mostly in older children.

SUBMITTER: Cahal M

PROVIDER: S-EPMC8250588 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:Mobility restrictions have been identified as key non-pharmaceutical interventions to limit the spread of the SARS-COV-2 epidemics. However, these interventions present significant drawbacks to the social fabric and negative outcomes for the real economy. In this paper we propose a real-time monitoring framework for tracking the economic consequences of various forms of mobility reductions involving European countries. We adopt a granular representation of mobility patterns during both the first and second waves of SARS-COV-2 in Italy, Germany, France and Spain to provide an analytical characterization of the rate of losses of industrial production by means of a nowcasting methodology. Our approach exploits the information encoded in massive datasets of human mobility provided by Facebook and Google, which are published at higher frequencies than the target economic variables, in order to obtain an early estimate before the official data becomes available. Our results show, in first place, the ability of mobility-related policies to induce a contraction of mobility patterns across jurisdictions. Besides this contraction, we observe a substitution effect which increases mobility within jurisdictions. Secondly, we show how industrial production strictly follows the dynamics of population commuting patterns and of human mobility trends, which thus provide information on the day-by-day variations in countries' economic activities. Our work, besides shedding light on how policy interventions targeted to induce a mobility contraction impact the real economy, constitutes a practical toolbox for helping governments to design appropriate and balanced policy actions aimed at containing the SARS-COV-2 spread, while mitigating the detrimental effect on the economy. Our study reveals how complex mobility patterns can have unequal consequences to economic losses across countries and call for a more tailored implementation of restrictions to balance the containment of contagion with the need to sustain economic activities.