Evidence map›Paper›PMID 42516615›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2026

[Spread and persistence of chikungunya in the Brazilian Northeast (2015-2023): A spatiotemporal analysisAnálisis espaciotemporal de la expansión y la persistencia del chikunguña en el noreste de Brasil (2015-2023)].

Suzanne Santos de Lima, Amanda Priscila de Santana Cabral Silva, Carlos Feitosa Luna, Wayner Vieira de Souza, Cynthia Braga

Abstract readEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2026. 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

5 authors.

Suzanne Santos de LimaFundação Oswaldo Cruz Instituto Aggeu Magalhães Recife, PE Brasil Fundação Oswaldo Cruz, Instituto Aggeu Magalhães, Recife, PE, Brasil.
Amanda Priscila de Santana Cabral SilvaUniversidade Federal de Pernambuco Vitória de Santo Antão, PE Brasil Universidade Federal de Pernambuco, Vitória de Santo Antão, PE, Brasil.
Carlos Feitosa LunaFundação Oswaldo Cruz Fiocruz Recife, PE Brasil Fundação Oswaldo Cruz, Fiocruz, Recife, PE, Brasil.
Wayner Vieira de SouzaFundação Oswaldo Cruz Fiocruz Recife, PE Brasil Fundação Oswaldo Cruz, Fiocruz, Recife, PE, Brasil.
Cynthia BragaFundação Oswaldo Cruz Fiocruz Recife, PE Brasil Fundação Oswaldo Cruz, Fiocruz, Recife, PE, Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To analyze the spatiotemporal dynamics of chikungunya incidence in municipalities in the Brazilian Northeast from 2015 to 2023. Methods: Ecological time-series study of probable cases of chikungunya reported to Brazil's Notifiable Diseases Information System (SINAN). Monthly trends were assessed by joinpoint regression analysis with estimation of the monthly percent change (MPC) and 95% confidence intervals (95% CIs). High-risk space-time clusters were identified using a Poisson-based scan statistic (relative risk [RR], Results: A total of 769 986 cases were reported in 2015-2023, mostly in the states of Ceará (27.9%), Bahia (25.3%), and Pernambuco (14.5%). Explosive outbreaks occurred in 2016, 2017, and 2022, interspersed with periods of low transmission. The temporal analysis revealed high initial MPC estimates, e.g., in Maranhão (127.4%; 95% CI: 112.5-172.6). In 2022, explosive outbreaks occurred once again, particularly in Alagoas (MPC = 342.4%; 95% CI: 187.2-557.3) and Piauí (MPC = 242.9%; 95% CI: 162.6-441.8). Significant space-time clusters were identified, 70% of which began in 2016. A disconnect was observed between geographic spread and magnitude of risk: the highest RR (45.5; 95% CI: 43.7-47.3) occurred in a cluster in Bahia in 2020, whereas the largest cluster involved 431 municipalities across four states in 2016. Conclusion: The dynamics of chikungunya in the Brazilian Northeast were characterized by spatiotemporal heterogeneity, with shifting epicenters and persistent pockets of high risk, providing further evidence of the need for integrated, regionalized surveillance and control to address sustained transmission in high-risk pockets and interstate clusters.

Indexed as

Brazilchikungunya feverecological studiesspatial analysistemporal distribution

Identifiers

PMID42516615
PMCPMC13403988

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.