Evidence map›Paper›PMID 35895718›Full record

ArticlePLoS neglected tropical diseases2022

Dengue, Zika, and Chikungunya viral circulation and hospitalization rates in Brazil from 2014 to 2019: An ecological study.

Julia M Pescarini, Moreno Rodrigues, Enny S Paixão, Luciana Cardim, Carlos A A de Brito, Maria da Conceição N Costa, Andreia C Santos, Liam Smeeth, Maria da Glória Teixeira, André P F de Souza and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Julia M PescariniFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-8711-9589
Moreno RodriguesFundação Oswaldo Cruz, Porto Velho, Rondônia, Brazil.
Enny S PaixãoFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Luciana CardimCentro de Integração de Dados e Conhecimento para a Saúde(CIDACS), Gonçalo Moniz Institute, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Carlos A A de BritoFundação Oswaldo Cruz, Instituto Aggeu Magalhães, Recife, Pernambuco, Brazil.
Maria da Conceição N CostaCentro de Integração de Dados e Conhecimento para a Saúde(CIDACS), Gonçalo Moniz Institute, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Andreia C SantosFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Liam SmeethFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Maria da Glória TeixeiraCentro de Integração de Dados e Conhecimento para a Saúde(CIDACS), Gonçalo Moniz Institute, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
André P F de SouzaFundação Getúlio Vargas, São Paulo, São Paulo, Brazil.
Mauricio L BarretoCentro de Integração de Dados e Conhecimento para a Saúde(CIDACS), Gonçalo Moniz Institute, Fundação Oswaldo Cruz, Salvador, Bahia, Brazil.
Elizabeth B BrickleyFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom.
London School of Hygiene & Tropical Medicine · GBFundação Oswaldo Cruz · BRUniversidade Federal da Bahia · BRFundação Getulio Vargas · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn addition to their direct pathogenic effects, arthropod-borne (arboviruses) have been hypothesized to indirectly contribute to hospitalizations and death through decompensation of pre-existing comorbidities. Using nationwide data routinely collected from 1 January 2014 to 31 December 2019 in Brazil, we investigated whether local increases in arbovirus notifications were associated with excess hospitalization.

methodsWe estimated the relative risks for the association between municipality- and state-level increases in arboviral case notifications and age-standardized hospitalization rates (i.e., classified as direct or indirect based on ICD-10 codes) using Bayesian multilevel models with random effects accounting for temporal and geographic correlations. For municipality-level analyses, we excluded municipalities with <200 notifications of a given arbovirus and further adjusted the models for the local Gini Index, Human Development Index, and Family Healthcare Strategy (Estratégia de Saúde da Família) coverage. Models for dengue, Zika, and chikungunya were performed separately.

resultsFrom 2014 to 2019, Brazil registered 7,566,330 confirmed dengue cases, 159,029 confirmed ZIKV cases, and 433,887 confirmed CHIKV cases. Dengue notifications have an endemic and seasonal pattern, with cases present in 5334 of the 5570 (95.8%) Brazilian municipalities and most (69.5%) registered between February and May. Chikungunya notifications followed a similar seasonal pattern to DENV but with a smaller incidence and were restricted to 4390 (78.8%) municipalities. ZIKV was only notified in 2581 (46.3%) municipalities. Increases in dengue and chikungunya notifications were associated with small increases in age-standardized arbovirus-related hospitalizations, but no consistent association was found with all-cause or other specific indirect causes of hospitalization. Zika was associated to increases in hospitalizations by neurological diseases.

conclusionsAlthough we found no clear association between increased incidence of the three arboviruses and excess risks of all-cause or indirect hospitalizations at the municipality- and state-levels, follow-up investigations at the individual-level are warranted to define any potential role of acute arbovirus infection in exacerbating risks of hospitalization from underlying conditions.

Indexed as

ArbovirusesChikungunya FeverChikungunya virusDengueZika VirusZika Virus InfectionBayes TheoremBrazilHospitalizationHumans

Identifiers

PMID35895718
PMCPMC9359537
OpenAlexW4288067289

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.