Evidence map›Paper›PMID 41406089›Full record

ArticlePLOS global public health2025

A century of weekly notifiable disease incidence data by province in Canada.

David J D Earn, Gabrielle MacKinnon, Samara Manzin, Michael Roswell, Steve Cygu, Chyunfung Shi, Benjamin M Bolker, Jonathan Dushoff, Steven C Walker

Abstract read
In one paragraph

Article in PLOS global public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

David J D EarnDepartment of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-7562-1341
Gabrielle MacKinnonDepartment of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0009-0005-3045-9212
Samara ManzinDepartment of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.
Michael RoswellDepartment of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-8479-9184
Steve CyguDepartment of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-9284-8863
Chyunfung ShiDepartment of Biology, McMaster University, Hamilton, Ontario, Canada.
Benjamin M BolkerDepartment of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-2127-0443
Jonathan DushoffM. G.  DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada.
Steven C WalkerDepartment of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.ORCID https://orcid.org/0000-0002-4394-9078

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canadian notifiable disease surveillance programmes have recorded communicable disease incidence data, dating back to the late 19th century. A Public Health Agency of Canada web-portal provides summaries of these data from 1924-2023, but lacks details on how incidence varies seasonally and geographically among provinces. The sub-annual (weekly, monthly, quarterly) and sub-national (provincial, territorial) data required to study such patterns appear in government documents, but are available only in typewritten or handwritten hard copies. We digitized and collated these sources to make sub-annual and sub-national Canadian disease incidence data conveniently available for researchers. We manually transcribed hard copies into digital spreadsheets resembling the originals, enabling accurate transcription through easier cross-checking. We supplemented these historical data sources with more recent digital spreadsheets obtained directly from two provincial agencies. We standardized and combined these spreadsheets into consistent, machine-readable CSV files containing 1,631,380 incidence values from 1903-2021. Because multiple publications and agencies reproduced case counts from the same surveillance system, and many publications reported the same cases at multiple levels of aggregation, many cases were counted more than once among these 1,631,380 incidence values. We reconciled overlapping counts to produce a dataset containing 934,010 unique incidence values at sub-national and sub-annual scales (829,689 weekly; 567 2-weekly; 82,267 monthly; 20,967 quarterly; 520 3-quarterly) covering 139 diseases stratified by province or territory. We illustrate the value of these sub-annual and sub-national data using two examples: synchronized annual cycles of poliomyelitis across provinces and spatially heterogeneous resurgence of whooping cough in the 1990s. Canada's infectious disease surveillance has produced a detailed record of sub-annual and sub-national disease incidence data that remains largely unexplored. This record is now available as the Canadian Notifiable Disease Incidence Dataset (CANDID), hosted on a publicly accessible website along with code to reproduce it, and scans of the original sources.

Identifiers

PMID41406089
PMCPMC12711055

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.