Evidence map›Paper›PMID 36820755›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2023

Spatial analysis of Chikungunya fever incidence and the associated socioeconomic, demographic, and vector infestation factors in municipalities of Pernambuco, Brazil, 2015-2021.

Maísa Aguiar-Santos, Liana Gabriele da Cruz Mendes, Diogenes Ferreira Dos Passos, Tamyris Gomes da Silva Santos, Rosanny Holanda Freitas Benevides Lins, Ana Cristina Pedrosa do Monte

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. 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

6 authors at 3 institutions in 1 country.

Maísa Aguiar-SantosInstituto de Medicina Integral Professor Fernando Figueira, Multiprofessional Residency Program in Collective Health - Recife (PE), Brazil.ORCID http://orcid.org/0000-0002-8977-9385
Liana Gabriele da Cruz MendesInstituto de Medicina Integral Professor Fernando Figueira, Multiprofessional Residency Program in Collective Health - Recife (PE), Brazil.ORCID http://orcid.org/0000-0002-0999-2398
Diogenes Ferreira Dos PassosInstituto de Medicina Integral Professor Fernando Figueira, Multiprofessional Residency Program in Collective Health - Recife (PE), Brazil.ORCID http://orcid.org/0000-0002-0245-1142
Tamyris Gomes da Silva SantosInstituto de Medicina Integral Professor Fernando Figueira, Multiprofessional Residency Program in Collective Health - Recife (PE), Brazil.ORCID http://orcid.org/0000-0001-6138-5301
Rosanny Holanda Freitas Benevides LinsSecretaria de Saúde do Estado de Pernambuco, Environmental Surveillance - Recife (PE), Brazil.ORCID http://orcid.org/0000-0002-4816-021X
Ana Cristina Pedrosa do MonteSecretaria de Saúde do Estado de Pernambuco, Epidemiological Surveillance - Recife (PE), Brazil.ORCID http://orcid.org/0000-0001-6828-4079
Instituto de Medicina Integral Professor Fernando Figueira · BRSecretaria de Educação de Pernambuco · BRUniversidade Federal de Pernambuco · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify the spatial patterns of chikungunya fever (CHIKF) and the associated socioeconomic, demographic, and vector infestation factors in the 1st Health Region of Pernambuco (1st HRP).

methodsThis ecological study used a spatial analysis of Mean Incidence Rates (MIR) of probable cases of CHIKF reported among residents of the 19 municipalities of the 1st HRP, in 2015-2021. The univariate and bivariate global Moran indexes (I) were estimated. From the significant associations (p<0.05), clusters were identified using the local Moran index and maps.

resultsA predominance of the largest CHIKF rates was identified in the east. However, there was a heterogeneous distribution of rates across municipalities, which may have contributed to the absence of spatial autocorrelation of CHIKF (I=0.03; p=0.294) in univariate I. The bivariate I revealed a positive spatial correlation between CHIKF and the Municipal Human Development Index (MHDI) (I=0.245; p=0.038), but with a cluster of cities with low incidences and low MHDI in the west. There was no spatial correlation between CHIKF and the other variables analyzed: population density, Gini index, social vulnerability index, and building infestation index for Aedes aegypti.

conclusionsThe results suggest that only the MHDI influenced the occurrence of CHIKF in the 1st HRP, so that municipalities in the west demonstrated spatial dependence between lower values of MHDI and MIR. However, this spatial correlation may have occurred due to possible underreporting in the area. These findings can assist in the (re)orientation of resources for surveillance and health care services.

Indexed as

Chikungunya FeverBrazilCitiesHumansIncidenceSocioeconomic FactorsSpatial Analysis

Identifiers

PMID36820755
PMCPMC9949488
OpenAlexW4321380377

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.