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

IF 2.6 4区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Tropical Medicine & International Health Pub Date : 2026-09-01 Epub Date: 2026-05-11 DOI:10.1111/tmi.70153
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, Tatiane C Moraes de Sousa
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引用次数: 0

Abstract

Objectives: Early 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.

Methods: We 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.

Results: The 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.

Conclusions: The 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.

巴西最大登革热疫情期间的预警系统和紧急声明。
目标:预警系统(ews)对于预警、发现和应对潜在的突发公共卫生事件至关重要。巴西2024年的登革热疫情是有史以来规模最大的一次,为评估及时发现流行病风险与卫生治理响应之间的对应关系提供了一个关键案例。方法:我们收集了联邦、州和市级登革热病例、死亡和公共卫生紧急声明(PHEDs)的数据。我们利用2023年联邦流行病渠道指南和更新的2025年风险水平标准,通过回顾性绘制所有州和首府观察到的风险水平,评估了2024年紧急声明的及时性。使用逻辑回归,我们调查了流行病严重程度是否与PHED的颁布有关,考虑到初级卫生覆盖和影响地方政府声明的政治动态。结果:2024年疫情迅速升级。巴西连续19周处于警戒水平,11周处于流行病水平,流行病风险阈值达到得异常早。11个州和7个州府在疫情达到阈值后发布了公共卫生警报,另有5个州府的声明重叠。尽管疫情在18个州和20个首府持续蔓延,但只有11个州和7个首府发布了紧急声明。巴伊亚和贝尔海姆等负担沉重的司法管辖区没有宣布紧急状态。逻辑回归模型显示,只有处于高风险水平的持续时间能显著预测紧急状态的宣布,而政治因素和初级卫生保健覆盖率则不能。这种宣布是在长期接触流行病而不是早期发现之后作出的,这突出表明需要建立体制机制,将监测信号转化为及时的治理对策。结论:EWS框架对2024年登革热流行的快速动态反应不足。加强响应性治理需要适应性监测工具和体制机制,将早期发现与及时、协调的应对联系起来,同时考虑到决策权力下放和地方能力参差不齐。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Tropical Medicine & International Health
Tropical Medicine & International Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.80
自引率
0.00%
发文量
129
审稿时长
6 months
期刊介绍: Tropical Medicine & International Health is published on behalf of the London School of Hygiene and Tropical Medicine, Swiss Tropical and Public Health Institute, Foundation Tropical Medicine and International Health, Belgian Institute of Tropical Medicine and Bernhard-Nocht-Institute for Tropical Medicine. Tropical Medicine & International Health is the official journal of the Federation of European Societies for Tropical Medicine and International Health (FESTMIH).
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