Evidence map›Paper›PMID 42824802›Full record

ArticlePublic health challenges2026

Spatial Discrepancies Between Health and Social Security Reports as Markers of Potential Underreporting of Occupational Injuries in Brazil, 2022-2023.

Luiza Maria Parise Morales, Samara Carolina Rodrigues, Roberta Souza Freitas, Cristiano Barreto de Miranda, Klauss K S Garcia

Abstract read
In one paragraph

Article in Public health challenges, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

5 authors.

Luiza Maria Parise MoralesSecretariat for Health and Environmental Surveillance Ministry of Health Brasília Federal District Brazil.
Samara Carolina RodriguesSecretariat for Health and Environmental Surveillance Ministry of Health Brasília Federal District Brazil.
Roberta Souza FreitasSecretariat of Science Technology and Innovation and the Economic-Industrial Complex of Health Ministry of Health Brasília Federal District Brazil.
Cristiano Barreto de MirandaSergio Arouca National School of Public Health Oswaldo Cruz Foundation Rio de Janeiro Brazil.ORCID https://orcid.org/0000-0001-8219-2613
Klauss K S GarciaDepartment of Infectious Disease Epidemiology and International Health Faculty of Epidemiology and Population Health The London School of Hygiene and Tropical Medicine London UK.ORCID https://orcid.org/0000-0003-2268-8742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Occupational injuries remain a major public health problem in Brazil, and underreporting limits the capacity of surveillance systems to support prevention and response. This study aimed to identify spatial discrepancies between health reports and social security reports of occupational injuries in Brazil. Methods: This cross-sectional ecological study uses municipality-level aggregated data for all 5570 Brazilian municipalities. Occupational injury records from health reports (Sinan system) and social security reports (CAT system) were analysed for 2022 and 2023. Spatial distribution was described, and spatial autocorrelation was assessed using global Moran's Results: There were 745,840 injury records from the health sector and 949,466 from the social security sector. Health reports were made in 5466 (98.1%) municipalities, whereas social security reports were present in 4509 (80.9%). A total of 3998 (71.7%) municipalities recorded more health reports than social security reports, whereas 1418 (25.4%) recorded more social security reports than health reports. Low-low log-ratio clusters, corresponding to areas where social security reports consistently exceeded health reports, were concentrated in the central-west and southeast regions. Conclusion: The spatial comparison identified marked territorial discrepancies between health reports and social security reports in Brazil. Clusters where social security reports exceeded health reports may serve as operational markers of potential underreporting in workers' health surveillance that may help guide geographically targeted surveillance strengthening.

Indexed as

epidemiologyoccupational health surveillancespatial analysisunderreportingworkplace accidents

Identifiers

PMID42824802
PMCPMC13627980

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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.