Study type

Study type

Non-interventional study

Scope of the study

Disease epidemiology
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Medical condition to be studied

Asthma
Population studied

Age groups

  • Paediatric Population (< 18 years)
    • Infants and toddlers (28 days – 23 months)
    • Children (2 to < 12 years)
    • Adolescents (12 to < 18 years)
  • Adult and elderly population (≥18 years)
    • Adults (18 to < 65 years)
      • Adults (18 to < 46 years)
      • Adults (46 to < 65 years)
    • Elderly (≥ 65 years)
      • Adults (65 to < 75 years)
      • Adults (75 to < 85 years)
      • Adults (85 years and over)

Estimated number of subjects

500000
Study design details

Main study objective

Assess how the rate of asthma attacks have varied during the COVID-19 pandemic

Outcomes

Asthma Exacerbation

Data analysis plan

This will be interrupted time series analysis. We will estimate the rate of exacerbations (total number of exacerbations per patient, per month) and then perform a segmented regression analysis to determine intercepts and slopes in each period segment (pre-lockdown, during lockdown, and post-lockdown easing phase). We will use autocorrelation and partial autocorrelation plots to determine the presence of “autoregression” and “moving average” type relationships in the data. We will then fit a generalized least squares-based model that incorporates both “autoregression” and “moving average” type relationships in the data. The fitted model will then be used to derive the predicted and counterfactual values which will then be used to compute the absolute and relative changes in asthma exacerbation rates as a result of lockdown measures.