A sub-national real-time epidemiological and vaccination database for the COVID-19 pandemic in Canada

Berry, Isha; O’Neill, Meghan; Sturrock, Shelby L.; Wright, James E.; Acharya, Kamal Raj; Brankston, Gabrielle; Harish, Vinyas; Kornas, Kathy; Maani, Nika; Naganathan, Thivya; Obress, Lindsay; Rossi, T. M.; Simmons, Alison E.; Camp, Matthew Van; Xie, Xiao Juan; Tuite, Ashleigh R.; Greer, Amy L.; Fisman, David N.; Soucy, Jean‐Paul

doi:10.1038/s41597-021-00955-2

Cited by 27 publications

(22 citation statements)

References 13 publications

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“…A higher value for the stringency index indicates greater stringency of public health measures. The 7-day rolling average of incident cases of COVID-19 per 100,000 population by province was extracted from the Canada Open Data Working Group datasets ( Berry et al, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Pandemic fatigue or enduring precautionary behaviours? Canadians’ long-term response to COVID-19 public health measures

Brankston

Merkley

Loewen

et al. 2022

Preventive Medicine Reports

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Section: Methodsmentioning

confidence: 99%

Pandemic fatigue or enduring precautionary behaviours? Canadians’ long-term response to COVID-19 public health measures

Brankston

Merkley

Loewen

et al. 2022

Preventive Medicine Reports

Self Cite

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“…Our analysis combines data from multiple sources (summarized in Table 1) including the Public Health Agency of Canada (PHAC), and the Newfoundland and Labrador Centre for Health Information (NLCHI). A data source for travel-related cases was the COVID-19 Canada Open Data Working Group (CCODWG) (Berry et al, 2020, 2021), a group of volunteers who curated data from government and non-government sources. We validated the CCODWG data with travel-related cases as reported by the NL and NB provincial governments and found that the CCODWG data accurately describes the number of travel-related cases in NL and NB (Figure S1).…”

Section: Methodsmentioning

confidence: 99%

Pandemic modelling for regions implementing an elimination strategy

Hurford

Martignoni

Loredo-Osti

et al. 2022

Preprint

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During the COVID-19 pandemic, some countries, such as Australia, China, Iceland, New Zealand, Thailand and Vietnam, successfully implemented an elimination strategy. Until June 2021, Atlantic Canada and Canada's territories had also experienced prolonged periods with few SARS-CoV-2 community cases. Such regions had a need for epidemiological models that could assess the risk of SARS-CoV-2 outbreaks, but most existing frameworks are applicable to regions where SARS-CoV-2 is spreading in the community, and so it was necessary to adapt existing frameworks to meet this need. We distinguish between infections that are travel-related and those that occur in the community, and find that in Newfoundland and Labrador (NL), Nova Scotia, and Prince Edward Island the mean percentage of daily cases that were travel-related was 80% or greater (July 1, 2020 -- May 31, 2021). We show that by December 24, 2021, the daily probability of an Omicron variant community outbreak establishing in NL was near one, and nearly twice as high as the previous high, which occurred in September 2021 when the Delta variant was dominant. We evaluate how vaccination and new variants might affect hypothetical future outbreaks in Mt. Pearl, NL. Our modelling framework can be used to evaluate alternative plans to relax public health restrictions when high levels of vaccination are achieved in regions that have implemented an elimination strategy.

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“…Organization (WHO) [27] COVID-19 Canada Open Data Working Group [28], [29] This is an epidemiological data from the COVID-19 Epidemic in Canada.…”

Section: World Healthmentioning

confidence: 99%

A Summary of Covid-19 Datasets

Bashir¹,

Raza²,

Thakkar³

et al. 2022

Artificial Intelligence and Machine Learning

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This research presents a review of main datasets that are developed for COVID-19 research. We hope this collection will continue to bring together members of the computing community, biomedical experts, and policymakers in the pursuit of effective COVID-19 treatments and management policies. Many organizations, such as the World Health Organization (WHO), John Hopkins, National Institute of Health (NIH), COVID-19 open science table and such, in the world, have made numerous datasets available to the public. However, these datasets originate from a variety of different sources and initiatives. The purpose of this research is to summarize the open COVID-19 datasets to make them more accessible to the research community for health systems design and analysis. We also discuss the numerous resources introduced to support text mining applications throughout the COVID-19 literature; more precisely, we discuss the corpora, modelling resources, systems, and shared tasks introduced for COVID-19.

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A sub-national real-time epidemiological and vaccination database for the COVID-19 pandemic in Canada

Cited by 27 publications

References 13 publications

Pandemic fatigue or enduring precautionary behaviours? Canadians’ long-term response to COVID-19 public health measures

Pandemic fatigue or enduring precautionary behaviours? Canadians’ long-term response to COVID-19 public health measures

Pandemic modelling for regions implementing an elimination strategy

A Summary of Covid-19 Datasets

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