Evidence map›Paper›PMID 39057106›Full record

ArticleDiseases (Basel, Switzerland)2024

Spatial and Temporal Dynamics of Chikungunya Incidence in Brazil and the Impact of Social Vulnerability: A Population-Based and Ecological Study.

Thiago de Jesus Santos, Karina Conceição Gomes Machado de Araújo, Marco Aurélio de Oliveira Góes, Marcio Bezerra-Santos, Caíque Jordan Nunes Ribeiro, Allan Dantas Dos Santos, Emerson Lucas Silva Camargo, Regina Claudia Silva Souza, Isabel Amélia Costa Mendes, Alvaro Francisco Lopes de Sousa and 1 more

Abstract read
In one paragraph

Article in Diseases (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

11 authors.

Thiago de Jesus SantosGraduate Program in Nursing, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.ORCID 0000-0002-8400-1830
Karina Conceição Gomes Machado de AraújoMedical and Nursing Science Center, Federal University of Alagoas, Campus Arapiraca, Arapiraca 57309-005, Brazil.
Marco Aurélio de Oliveira GóesGraduate Program in Nursing, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.ORCID 0000-0003-0953-9320
Marcio Bezerra-SantosMedical and Nursing Science Center, Federal University of Alagoas, Campus Arapiraca, Arapiraca 57309-005, Brazil.
Caíque Jordan Nunes RibeiroGraduate Program in Nursing, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.ORCID 0000-0001-9767-3938
Allan Dantas Dos SantosGraduate Program in Nursing, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.ORCID 0000-0002-6529-1887
Emerson Lucas Silva CamargoRibeirao Preto College of Nursing, Universidade de São Paulo, Ribeirao Preto 14040-902, Brazil.ORCID 0000-0002-6119-5193
Regina Claudia Silva SouzaHospital Sírio-Libanês, Faculdade Sírio-Libanês, São Paulo 01308-050, Brazil.
Isabel Amélia Costa MendesRibeirao Preto College of Nursing, Universidade de São Paulo, Ribeirao Preto 14040-902, Brazil.ORCID 0000-0002-0704-4319
Alvaro Francisco Lopes de SousaHospital Sírio-Libanês, Faculdade Sírio-Libanês, São Paulo 01308-050, Brazil.ORCID 0000-0003-2710-2122
Damião da Conceição AraújoGraduate Program in Nursing, Federal University of Sergipe, São Cristóvão 49100-000, Brazil.ORCID 0000-0003-1116-170X

Funding

CAPES Brazil 2023-001Fundação Ciência e Tecnologia UIDP/04923/2020
6 · The paper itself

Abstract

To assess the temporal and spatial dynamics of chikungunya incidence and its association with social vulnerability indicators in Brazil, an ecological and population-based study was conducted herein, with confirmed cases of chikungunya and based on clinical and clinical-epidemiological criteria from 2017 to 2023. Data were obtained from the Notifiable Diseases Information System and social vulnerability indicators were extracted from the official platform of the United Nations Development Program and the Social Vulnerability Atlas. Temporal, spatial, and global spatial regression models were employed. The temporal trend showed that in 2017, the incidence increased by 1.9%, and this trend decreased from 2020 to 2021 (-0.93%). The spatial distribution showed heterogeneity and positive spatial autocorrelation (I: 0.71;

Indexed as

chikungunya feverpublic health surveillancesocial determinants of healthsocioeconomic factorsspatial analysis

Identifiers

PMID39057106
PMCPMC11276368

What OpenQuestion holds

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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.