Keywords
Childhood vaccines, Pneumococcal vaccines, Digital tools, COVID-19, Canada
1. BACKGROUND
Immunizing children against routine vaccine-preventable diseases (VPDs) has been among
the most effective interventions in reducing childhood morbidity and mortality and indirectly
saving the world a substantial economic loss1. Between 2000 and 2020, in developing
countries, the use of routine childhood vaccines against VPDs such as measles, pneumonia,
severe diarrhea, and meningitis has averted approximately 20 million deaths and saved
around US$ 350 billion in cost of illness 2,3. This achievement was possible because of the
successful mobilization of beneficiaries, excellent planning, and execution of immunization
programs4.
In March 2020, the outbreak of the highly infectious and deadly Coronavirus disease of 2019
(COVID-19) emerged as an unprecedented challenge5. Countries’ governments across the
world adopted the World Health Organization (WHO)’s public health and social measures for
limiting the spread of the SARS-CoV-2 and mitigating its associated health loss6,7. Those
measures included face mask-wearing; restrictions on public and private gatherings; cautious
opening and closure of schools and businesses; domestic movements as well as public
transport restrictions, and stay-at-home orders; and international travel restrictions7. Two
years into the pandemic, the world has already recorded more than 400 million cases, a death
toll surpassing 6 million, and the disruption of many preventive interventions such as the
routine immunization programs for children 5,8.
Disruptions to the routine childhood vaccines started right after the onset of the pandemic,
affecting vaccines’ supply and demand, their cold chain, and delivery9,10. Consequently, 23
million children did not receive their scheduled vaccines11, the number of doses administered
globally fell by 31.3%12, and vaccination coverage dropped by approximately 7.7% 13. A
drop in ordering vaccines was also noted in countries such as the USA, where a 50%
reduction happened right after the onset of pandemic-related restrictions9.
As observed in many countries, the effect of the COVID-19 restrictions on vaccination rates
created an initial shock after the onset of restrictions or delayed recovery of the service after a
few months of the pandemic. In some countries such as Canada, such data is still lacking.
There is a possibility that the national goal of achieving community protection against all
VPDs by 2025 could have been disrupted by the onset of the pandemic-related restrictions14,
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as they caused an approximately 80% drop in in-person doctor visits for children’s services
including vaccination during the first wave of infections15. The lack of knowledge on the
possible effects of timely vaccination and the adoption of immunization tools hinders
interventions aiming to recover vaccination uptake and may further increase the risk of
VPDs, especially during this period when most restrictions have been eased.
In this study, the impact of the pandemic on immunization efforts in Canada was studied.
Changes in children’s enrollment on the pan-Canadian digital vaccination platform,
CANImmunize, and self-reported pediatric pneumococcal immunization series completion
rates were assessed to describe how the pandemic’s related restrictions affected previously
observed trends. The availability of this knowledge provides insights into how the pandemic
has affected immunization and will guide interventions that aim to control and prevent VPDs
during the current stage of the pandemic, as all provinces are alleviating COVID-19
restrictions.
2. Methods
2.1. Study design and settings
We conducted a quasi-experimental study to assess the impact of the COVID-19 pandemic
restrictions on infant vaccination rates in Canada. COVID-19’s related restrictions, the
interrupting variable, were considered a natural event affecting everyone in Canada, while
vaccination rates in terms of enrollment of children on the CANImmunize platform and self-
reported on-time pneumococcal immunization series completion rates were considered the
population-level outcomes. We conducted a single cohort interrupted time series analysis to
examine these questions.
2.2. Source of data
All data was collected from the CANImmunize database, a pan-Canadian digital vaccination
tool established in 2016 for supporting Canadians to manage their own immunization
information. Data extraction happened in February 2022, and contained information about
when every child’s record was created, the number of pneumococcal doses every child
received, and the date each vaccine dose was reported by CANImmunize users (parents and
guardians) using their accounts and in accordance with the provincial vaccination protocols.
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Immunization data in CANImmunize is self-reported, and CANImmunize uses children’s
information such as age, sex, and jurisdiction to create a custom immunization schedule for
every record16.
This study included only records of children whose records that contained at least one dose of
any pediatric vaccine reported, and excluded records that had incorrect dates of birth. The
data management is described in Figure-1. Records for children born from January 2016 to
December 2021 were eligible for enrolment analysis, however, only children born from
January 2016 to December 2020 were eligible for the analysis for immunization series
completion rate – to include only children that had turned 13 months.
2.3. Statistical analysis:
Two outcomes were assessed; Enrollment of children on the CANImmunize platform, which
was assessed as the number of records created on CANImmunize; and the on-time
completion rate of self-reported immunization series for pneumococcal vaccine. The number
of new records was counted monthly using the record’s unique identifiers on CANImmunize.
Ontime completion of immunization series for pneumococcal vaccine was defined as
reception of three doses of pneumococcal vaccine before the child turns 13 months of age22.
It was calculated using the child’s date of birth, the date the child turned 13 months, and the
number of doses of pneumococcal vaccines every child received in that period.
Figure-1: The data management flow.
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The count of children that were born every month during the observation period served as the
denominator, while the count of children born in the same month and received all doses of
pneumococcal vaccine before they turned 13 months served as the numerator to provide the
monthly completion rate in percentage.
A total of 52 (from September 2017 to December 2021) and 60 (from January 2016 to
December 2020) monthly time series were generated for enrollment and immunization series
completion rates, respectively.
We hypothesized that the onset of COVID-19 related restrictions in Canada would impact
both outcomes in a step-change format, an assumption based on the interim reports from the
World Health Organization (WHO) on the impact of the pandemic on universal
immunization coverage8. The point estimate and the confidence interval for the impact of the
pandemic on both outcomes were assessed using Autoregressive Integrated Moving Average
(ARIMA) models.
Model identification
After examining the trend and patterns of both outcome’s time series(see Figure 2), the
ARIMA model was used to account for autocorrelation and seasonality bias. The Dickey-
Fuller test was used to confirm the series’ stationarity17 prior to fitting an ARIMA model. We
used an automated algorithm, specifically auto.arima() in the forecast package for R, to
identify the ARIMA model terms based on minimizing the information criteria (AIC, BIC).
The statistical R version 4.1.3 was used for all analyses and both the P_value and the
confidence interval were reported. The P_value less than 0.05 was considered statistically
significant.
3. Ethical considerations
Data collection and handling were conducted according to the CANImmunize privacy
policy18. Additionally, ethical approval to conduct this research has been obtained from the
Ottawa Health Sciences Research Ethics Board (OHSN REB) prior to the start of all research
activities.
4. RESULTS
4.1. Overview of our data
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A total of 63833 pediatric records were created in CANImmunize from 2016 to 2021have
met inclusion criteria. The highest enrollment of children occurred in January 2019 with 3374
records as Figure 2(A) shows. The time series for trend for enrollment displayed seasonality
features including a spike in the number of enrolled children towards the end of each year.
However, there was a decrease in counts of enrolling children observed after the onset of
COVID-19 restrictions, and the tall spikes observed in the pre- restriction period have not
been repeated. Additionally, the post restriction trend did not recover to reach the pre-
restriction level; further decreasing until the end of the study period .The trend for
pneumococcal immunization series completion rates has been decreasing since the end of
2018, and the recovery that happened in the early months of 2020 was not sustained.
A B
Figure 2. (A) shows the time series of monthly enrollment of children on CANImmunize from January 2016 to December
2021. (B) shows the time series of on-time completion rates of immunization series for the Pneumococcal vaccines from
2016 to 2020.
4.2. ARIMA model
(1) Enrollment series
The estimated step change was –1177.52 records (95% CI: –1865.47, – 489.57) while the estimated
change in slope was -80.84 records per month (95% CI - 227.03, 65.34). Figure 5 shows the values
predicted by our ARIMA model in the absence of the intervention (counterfactual) compared with the
observed values. This means that restrictions that were imposed to curb the impact of COVID-19 in
March 2020 were associated with an abrupt and continued decline in enrollment by 1177.52, with a
further decrease of 80.84 records each month during the study period. The p-value for the Ljung-Box
test for white noise is 0.73 at 24 lags.
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Figure 3. shows both the observed and forecasted children's enrollment on CANImmunize in the period from
2016 to 2021. (The red-dash line represents the cut-off, the onset of COVID-19 related restrictions in
Canada19).
(2) Pneumococcal series completion rates
The estimated step change was 14.57% (95% CI 4.64, 24.51)
Figure 4. shows the predicted completion rates compared to observed rates from 2016 to 2020. The red-dash
line represents the cut-off, the onset of COVID-19 related restrictions in Canada19
while the estimated change in slope was –3.54% per month (95% CI -5.31, –1.76). Figure 5 shows
the values predicted by our ARIMA model in the absence of the intervention (counterfactual)
compared with the observed values. This means that restrictions that followed the onset of COVID-19
restrictions in March 2020 were associated with an increase in self-reported completion of scheduled
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penumococcal immunization series by 14.57%, followed by ar decrease of 3.54% each month during
the study period. The p-value for the Ljung-Box test for white noise is 0.98 at 24 lags.
5. DISCUSSION
The onset of COVID-19 in March 2020 in Canada was associated with changes in immunization
rates among users of the CANImmunize platform. The monthly enrollment of children on the
platform has dropped by – 1177.52 records (95% CI: –1865.47, – 489.57), with a continued drop of
80.84 records each month. Pneumococcalimmunization series completion had an initial increase of
14.57% (95% CI 4.64, 24.51) and a sustained decrease of –3.54% each month, producing an
estimated net effect of -20.83%.
These findings are consistent with results from studies emerging on the impact of the COVID-19
pandemic on routine childhood vaccines globally. In North America, studies in the United States of
America, and the Dominican Republic have reported a decline of 5-18%, and 10% in vaccination
coverage, respectively20–24. In South America, studies in Columbia and Brazil have reported a drop in
vaccination coverage of 14.4-20% and 10 to 20%, respectively25. European countries, in general, saw
a 1% decrease in vaccination coverage, while the African region saw a 2-18% decrease26,27. Middle
eastern countries such as Jordan have reported a decrease in vaccination coverage of 11.1%28, while
Lebanon reported a national level decrease of 31% in the utilization of immunization services during
the pandemic29.
To our knowledge, there are no studies that assessed the impact of the pandemic-related restrictions
on population engagement in digital tools for vaccination such as CANImmunize and the impact of
the pandemic on the pneumococcal vaccination in Canada. A key strength of our study is that we used
a large dataset, observed over a long period. It has allowed us to compare and understand changes in
the trend of each outcome. Additionally, this research was the first to detect the effect of the COVID-
19 pandemic on children’s immunization in Canada, and it will serve as hypothesis-generating while
other nationwide evaluations are conducted.
Thisur study had some limitations. Outcomes were assessed in a population that is actively utilizing a
free, digital tool for managing immunization records, who may not be representative of the general
population. Disparities in immunization rates according to geographical and social-economic status
were not assessed. Our study was also a single-group interrupted time series analysis, lacking a
parallel comparison group. Furthermore, all data on vaccination was self-reported However,
vaccinations reported by parents are used by some provinces as the official source of data. Parents are
required to register such information to public health for school entry under the Immunization of
School Pupils Act in Ontario30.
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6. CONCLUSION
The COVID-19 pandemic has negatively affected enrollment in the CANImmunize app immediately
and the whole time under pandemic restrictions. Pneumococcal immunization series completion rates
had an initial increase but an overall estimated net effect of -20.83%. Further research is needed to
assess the impact of the COVID-19 pandemic on pediatric vaccination rates in Canada. There is a
strong need for the development and implementation of catch-up intervention programs to mitigate
the impact of the pandemic on the 2025 Public Health Agency of Canada goals of achieving
community protection against VPDs.
7. FUNDING DETAILS
This study has not received any funding.
8. DISCLOSURE STATEMENT
No financial and non-financial interests had interfered with activities or applications of this
research, and on the behalf of all authors, there are no competing interests to declare.
9. ACKNOWLEDGMENT
We thank the team of supervisors from Karolinska Institutet for their guidance during the
research proposal writing and data analysis.
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Figure 1. Data management flow illustrating the data cleaning process to obtain aggregated
monthly counts of enrolled children and monthly completion rates for pneumococcal vaccine
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A
B
Figure 2. (A) shows the time series of monthly enrollment of children on CANImmunize from
January 2016 to December 2021. (B) shows the time series for pneumococcal vaccine’s
completion rates in the period from 2016 to 2020.
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Figure 3. shows both the observed and predicted children's enrollment on CANImmunize in the
period from 2016 to 2021. (The red-dash line represents the cut-off, the onset of Covid-19 related
restrictions in Canada19).
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Figure 4. shows the predicted completion rates compared to observed rates from 2016 to 2020.
The red-dash line represents the cut-off, the onset of Covid-19 related restrictions in Canada19
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
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