Citizen science in the time of COVID-19

Article Geriatrics & Gerontology

Probable delirium is a presenting symptom of COVID-19 in frail, older adults: a cohort study of 322 hospitalised and 535 community-based older adults

Maria Beatrice Zazzara et al.

Summary: Frail older adults with COVID-19 showed a significantly higher prevalence of probable delirium compared to other older adults, emphasizing the importance of systematic frailty assessment and screening for delirium in acutely ill older patients in hospital and community settings. Clinicians should consider COVID-19 in frail adults presenting with delirium.

AGE AND AGEING (2021)

Add to Collection

Editorial Material Respiratory System

Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app

Ruth C. E. Bowyer et al.

Summary: By analyzing self-reported data from users in Great Britain through the COVID-19 Symptom Study app, it was found that COVID-19 was distributed across urban areas with evidence of 'urban hotspots'. The study showed a geo-social gradient associated with predicted disease prevalence, indicating that urban areas and higher deprivation areas are the most affected. This demonstrates the use of self-reported symptoms data to focus on geographical areas with identified risk factors.

THORAX (2021)

Add to Collection

Article Respiratory System

Multiple, objectively measured sleep dimensions including hypoxic burden and chronic kidney disease: findings from the Multi-Ethnic Study of Atherosclerosis

Nicholas S. Hopkinson et al.

Summary: This study found that sleep apnoea associated hypoxia and very short sleep may be associated with an increased prevalence of moderate-to-severe CKD. This indicates that sleep may have a certain impact on the development of CKD.

THORAX (2021)

Add to Collection

Article Public, Environmental & Occupational Health

Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study

Thomas Varsavsky et al.

Summary: This study used data from users of the COVID Symptom Study app in England to track COVID-19 cases and epidemic trends, highlighting the importance of local-level disease tracking without reimposing national restrictions. By utilizing self-reported data, policymakers can gain insights into the pandemic and take targeted measures in a timely manner.

LANCET PUBLIC HEALTH (2021)

Add to Collection

Article Multidisciplinary Sciences

Mobility network models of COVID-19 explain inequities and inform reopening

Serina Chang et al.

Summary: The study introduces a SEIR model that integrates fine-grained, dynamic mobility networks to simulate the spread of COVID-19 in the ten largest US metropolitan areas. By accurately fitting the real case trajectory, the model identifies the effectiveness of restricting maximum occupancy at locations for curbing infections and reveals the contributions of mobility-related mechanisms to higher infection rates among disadvantaged socioeconomic and racial groups.

NATURE (2021)

Add to Collection

Article Biochemistry & Molecular Biology