Figure 1: Trends in diagnosis of tonsillitis during the Covid19 lockdown period.
 
The findings do resonate with what has been reported in previous papers (Stockmann C, 2013).
Stockmann et colleagues reported a strong correlations between AOM and the activity of individual circulating respiratory viruses, particularly RSV and human metapneumovirus  and weaker correlations between AOM and influenza A, influenza B , adenovirus, and rhinovirus. Yet, when first-order auto-regressive integrated moving average (ARIMA) models were constructed that appropriately corrected for the autocorrelation of time-series data, the association was no longer statistically significant for a number of respiratory viruses.
This may account for a far less obvious impact of the lockdown effect on AOM when compared to the diagnosis of tonsillitis.  
 

Bibliography

Cervoni, E. (2020). Trends in diagnosis of tonsillitis during the Covid19 pandemic. Authorea, DOI: 10.22541/au.159018084.41587278.
Collins, S. D. (1935). Age Incidence of Specific Causes of Illness: Based on Records for 9,000 Families in 18 States Visited Periodically for 12 Months, 1928-31. Public Health Reports (1896-1970), 1404-1427.
Stockmann C, A. K. (2013). Seasonality of acute otitis media and the role of respiratory viral activity in children. Pediatr Infect Dis J, 314-319.