Evidence map›Paper›PMID 42114973›Full record

ArticleTropical medicine & international health : TM & IH2026

Early Warning Systems and Emergency Declarations During Brazil's Largest Dengue Outbreak.

Lorena Guadalupe Barberia, Alexandra Crispim Boing, Natália de Paula Moreira, Murilo Motta, Guilherme Pereira Ferreira, Dara Aparecida Vilela Pinto, Luiz Antonio Couto Soares, João de Oliveira Gusmão, Ana Paula Magalhães Brito, Sabrina Almeida and 1 more

Abstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Lorena Guadalupe BarberiaDepartment of Political Science, University of São Paulo, Avenida Professor Luciano Gualberto, Cidade Universitária, São Paulo, SP, Brazil.
Alexandra Crispim BoingDepartment of Public Health, Federal University of Santa Catarina, Campus Universitário Reitor João David Ferreira Lima, Centro de Ciências da Saúde, Floranopolis, SC, Brazil.
Natália de Paula MoreiraDepartment of Political Science, University of São Paulo, Avenida Professor Luciano Gualberto, Cidade Universitária, São Paulo, SP, Brazil.
Murilo MottaInstitute of International Relations, University of São Paulo, Cidade Universitária, São Paulo, SP, Brazil.
Guilherme Pereira FerreiraDepartment of Political Science, University of São Paulo, Avenida Professor Luciano Gualberto, Cidade Universitária, São Paulo, SP, Brazil.
Dara Aparecida Vilela PintoDepartment of Political Science, University of São Paulo, Avenida Professor Luciano Gualberto, Cidade Universitária, São Paulo, SP, Brazil.
Luiz Antonio Couto SoaresDepartment of Political Science, University of São Paulo, Avenida Professor Luciano Gualberto, Cidade Universitária, São Paulo, SP, Brazil.
João de Oliveira GusmãoDepartment of Public Health Emergencies, Ministry of Health of Brazil, Brasília, DF, Brazil.
Ana Paula Magalhães BritoDepartment of Social Psychology, University of São Paulo, Av. Professor Mello Moraes, São Paulo, SP, Brazil.
Sabrina AlmeidaDepartment of Political Science, University of São Paulo, Avenida Professor Luciano Gualberto, Cidade Universitária, São Paulo, SP, Brazil.
Tatiane C Moraes de SousaDepartment of Epidemiology, Institute of Social Medicine, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.

Funding

Gates Ventures 008975Wellcome Trust
6 · The paper itself

Abstract

objectivesEarly warning systems (EWSs) are essential for alert, detection, and response to potential public health emergencies. Brazil's 2024 dengue epidemic, the largest ever recorded, offers a critical case for assessing correspondence between timely epidemic risk detection and health governance responsiveness.

methodsWe collected data on dengue cases, deaths, and public health emergency declarations (PHEDs) at federal, state, and municipal levels. We evaluated the timeliness of 2024 emergency declarations by retrospectively mapping observed risk levels across all states and capitals, utilizing the 2023 federal endemic channel guidelines and the updated 2025 risk-level criteria. Using logistic regressions, we investigated whether epidemic severity was associated with the enactment of a PHED, accounting for primary health coverage and political dynamics that influence local government declarations.

resultsThe 2024 epidemic escalated rapidly. Brazil remained at an alert level for 19 consecutive weeks and at an epidemic level for 11, with epidemic risk thresholds reached unusually early. Eleven states and seven capitals issued PHEDs after epidemic thresholds were reached, and an additional five capitals were covered by overlapping state declarations. Despite prolonged epidemic conditions across 18 states and 20 capitals, only 11 states and 7 capitals issued emergency declarations. High-burden jurisdictions such as Bahia and Belém did not declare emergencies. Logistic regression models show that only the duration at elevated risk levels significantly predicted emergency declarations, while political factors and primary health care coverage did not. That declarations followed prolonged epidemic exposure rather than early detection underscores the need for institutional mechanisms that translate surveillance signals into timely governance responses.

conclusionsThe EWS framework was insufficiently responsive to the rapid dynamics of the 2024 dengue epidemic. Strengthening responsive governance requires adaptive surveillance tools and institutional mechanisms that link early detection to timely, coordinated responses, while accounting for decentralized decision-making and uneven subnational capacities.

Indexed as

DengueDisease OutbreaksBrazilHumansPublic HealthPublic Health InfrastructureRetrospective StudiesBrazildecentralized health systemsdengueearly warning systemsepidemic riskpublic health emergency declarationspublic health governancesurveillance

Identifiers

PMID42114973
PMCPMC13533633

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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.