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The Collapse of Infectious Disease Diagnoses Commonly Due to Communicable Respiratory Pathogens During the Coronavirus Disease 2019 Pandemic: A Time Series and Hierarchical Clustering Analysis.
Zhang, Ali; Surette, Matthew D; Schwartz, Kevin L; Brooks, James I; Bowdish, Dawn M E; Mahdavi, Roshanak; Manuel, Douglas G; Talarico, Robert; Daneman, Nick; Shurgold, Jayson; MacFadden, Derek.
  • Zhang A; Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.
  • Surette MD; Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.
  • Schwartz KL; Public Health Ontario, Toronto, Ontario, Canada.
  • Brooks JI; Public Health Agency of Canada, Ottawa, Ontario, Canada.
  • Bowdish DME; Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.
  • Mahdavi R; ICES, Toronto, Ontario, Canada.
  • Manuel DG; ICES, Toronto, Ontario, Canada.
  • Talarico R; ICES, Toronto, Ontario, Canada.
  • Daneman N; Public Health Ontario, Toronto, Ontario, Canada.
  • Shurgold J; Public Health Agency of Canada, Ottawa, Ontario, Canada.
  • MacFadden D; ICES, Toronto, Ontario, Canada.
Open Forum Infect Dis ; 9(7): ofac205, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1922312
ABSTRACT

Background:

Nonpharmaceutical interventions such as physical distancing and mandatory masking were adopted in many jurisdictions during the coronavirus disease 2019 pandemic to decrease spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We determined the effects of these interventions on incidence of healthcare utilization for other infectious diseases.

Methods:

Using a healthcare administrative dataset, we employed an interrupted time series analysis to measure changes in healthcare visits for various infectious diseases across the province of Ontario, Canada, from January 2017 to December 2020. We used a hierarchical clustering algorithm to group diagnoses that demonstrated similar patterns of change through the pandemic months.

Results:

We found that visits for infectious diseases commonly caused by communicable respiratory pathogens (eg, acute bronchitis, acute sinusitis) formed distinct clusters from diagnoses that often originate from pathogens derived from the patient's own flora (eg, urinary tract infection, cellulitis). Moreover, infectious diagnoses commonly arising from communicable respiratory pathogens (hierarchical cluster 1 highly impacted diagnoses) were significantly decreased, with a rate ratio (RR) of 0.35 (95% confidence interval [CI], .30-.40; P < .001) after the introduction of public health interventions in April-December 2020, whereas infections typically arising from the patient's own flora (hierarchical cluster 3 minimally impacted diagnoses) did not demonstrate a sustained change in incidence (RR, 0.95 [95% CI, .90-1.01]; P = .085).

Conclusions:

Public health measures to curtail the incidence of SARS-CoV-2 were widely effective against other communicable respiratory infectious diseases with similar modes of transmission but had little effect on infectious diseases not strongly dependent on person-to-person transmission.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study Language: English Journal: Open Forum Infect Dis Year: 2022 Document Type: Article Affiliation country: Ofid

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study Language: English Journal: Open Forum Infect Dis Year: 2022 Document Type: Article Affiliation country: Ofid