Evidence map›Paper›PMID 42421045›Full record

ArticleVirology journal2026

Spatiotemporal dynamics of Zika in Brazil, 2016-2023: a nationwide population-based study.

Marcos César de Souza Santos, Paula Esbaltar de Oliveira, Phoebe Silva van Emmerik, Rafael Pedro de Souza Nascimento, Vanessa Cardoso Pereira, Sávio Luiz Pereira Nunes, Havandécio Rodrigues de Matos Júnior, Chirles Araújo de França, Adeilton Gonçalves da Silva Junior, Thais Silva Matos and 7 more

Abstract read
In one paragraph

Article in Virology journal, 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

17 authors.

Marcos César de Souza SantosFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil.
Paula Esbaltar de OliveiraFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil.
Phoebe Silva van EmmerikFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil.
Rafael Pedro de Souza NascimentoFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil.
Vanessa Cardoso PereiraFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil.
Sávio Luiz Pereira NunesUniversity of Pernambuco (UPE), Petrolina, Pernambuco, Brazil.
Havandécio Rodrigues de Matos JúniorFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil.
Chirles Araújo de FrançaFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil.
Adeilton Gonçalves da Silva JuniorFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil.
Thais Silva MatosFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil.
Marcio Bezerra SantosFederal University of Alagoas (UFAL), Arapiraca, Alagoas, Brazil.
Carla Pacheco TeixeiraOswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Diana Paola Gutierrez Diaz de AzevedoOswaldo Cruz Foundation (Fiocruz), Rio de Janeiro, Brazil.
Daniel Elías Cuartas ArroyaveSchool of Public Health, University of Del Valle, Cali, Colombia.
José Valter Joaquim Silva JúniorDepartment of Microbiology and Parasitology, Federal University of Santa Maria, Santa Maria, Rio Grande do Sul, Brazil.
Rodrigo Feliciano CarmoFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil.
Carlos Dornels Freire de SouzaFederal University of the São Francisco Valley (UNIVASF), José de Sá Maniçoba, Centro, Pernambuco, Petrolina, Brazil. carlos.dornels@univasf.edu.br.ORCID https://orcid.org/0000-0001-7995-1893

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe Zika epidemic was first reported in Brazil in 2015. Since then, several factors have sustained the virus transmission chain in the country. This study aimed to describe the epidemiological profile and temporal trends, as well as to identify significant spatial and spatiotemporal clusters of Zika in Brazil between 2016 and 2023.

methodsEcological study including confirmed Zika cases in Brazil from 2016 to 2023. Data were extracted from the National Notifiable Diseases Information System. Sociodemographic variables (age, sex, race/ethnicity, education level, and pregnancy status) were collected, along with incidence rates. Analyses were conducted in three steps: (1) description of the epidemiological profile; (2) temporal analysis: Joinpoint regression modeling was applied to identify trends and the Average Annual Percent Change (AAPC) was calculated with 95% confidence intervals and 5% significance level; (3) spatial analysis: spatial dependence among municipalities was assessed using the Global Moran's I index, followed by spatial scan statistics to identify spatial clusters of virus transmission, using both purely spatial and spatiotemporal analyses.

resultsA total of 176,122 cases were reported during the study period. Among them, 42.27% (n = 74,458) were aged 20-39 years, 66.96% (n = 117,945) were female, and 34.92% (n = 61,513) were mixed-race. A decreasing trend in incidence rates was observed in Brazil (AAPC - 36.55%; p < 0.001), with disparities across states. Fifteen out of 27 states showed a downward trend. Rio Grande do Norte was the only state to exhibit an increasing incidence trend and was also identified as the area with the highest relative risk of Zika infection in the country (RR = 12.1; p < 0.001). In the spatio-temporal analysis, the cluster with the highest relative risk (RR 31.08; p < 0.001) included 2,770 municipalities across the North, Northeast, Southeast, and Central-West regions.

conclusionZika cases predominated among adults, females, and mixed-race individuals. In Brazil, the overall incidence rate showed a decreasing trend during the study period. The Northeast and Central-West regions had the largest number of clusters, highlighting the need to strengthen surveillance activities in these areas to reduce transmission rates.

Indexed as

Zika Virus InfectionAdolescentAdultBrazilChildChild, PreschoolFemaleHumansIncidenceInfantMaleMiddle AgedSpatio-Temporal AnalysisYoung AdultZika VirusEpidemiologyGlobal Moran’s I indexJoinpoint regressionZika virus

Identifiers

PMID42421045
PMCPMC13628813

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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.