Work

Population Attributable Fraction of SARS-CoV-2 for Pulmonary Embolism Hospitalization in Southern Ontario, Canada

Year: 2026

Type: other

Abstract: This repository contains R code implementing Distributed Lag Non-Linear Models (DLNMs) with counterfactual (null-exposure) modeling to estimate the population attributable fraction of SARS-CoV-2 for pulmonary embolism hospitalizations. Subgroup analyses were conducted by pre-Omicron/Omicron period, vaccination period, age, and sex, with formal tests of heterogeneity across these strata. Data Sources Pulmonary Embolism Case Counts: Administrative health data were accessed within the CIHI Secure Access Environment and cannot be shared publicly. Respiratory Virus Surveillance Data: SARS-CoV-2 data are publicly available from the Public Health Agency of Canada's Respiratory Virus Detection Surveillance System (RVDSS). Population Denominators: Population data were obtained from Statistics Canada Table 17-10-0009-01.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.21631779

Authors: Lee, Clara Eunyoung, Wilson, Natalie, Mann, Simran, Fisman, David

Institution: University of Toronto

Language: English

Topic: COVID-19 Clinical Research Studies

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Canadian Institutes of Health Research

OpenAlex ID: W7171473960

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