Evidence map›Paper›PMID 37753173›Full record

ArticlePeerJ2023

Age and socio-economic status affect dengue and COVID-19 incidence: spatio-temporal analysis of the 2020 syndemic in Buenos Aires City.

Aníbal E Carbajo, María V Cardo, Martina Pesce, Luciana E Iummato, Pilar Bárcena Barbeira, María Soledad Santini, María Eugenia Utgés

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. 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
2.0field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. [Incidence of COVID-19 in cancer patients from the HIGA Alende, Mar del Plata, Argentina, 2020-2021]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2025
    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

7 authors at 2 institutions in 1 country.

Aníbal E Carbajo *Instituto de Investigación e Ingeniería Ambiental (IIIA), Escuela de Hábitat y Sostenibilidad, Universidad Nacional de San Martín (UNSAM), San Martín, Buenos Aires, Argentina.
María V Cardo *Instituto de Investigación e Ingeniería Ambiental (IIIA), Escuela de Hábitat y Sostenibilidad, Universidad Nacional de San Martín (UNSAM), San Martín, Buenos Aires, Argentina.
Martina PesceDirección Nacional de Epidemiología e Información Estratégica, Ministerio de Salud de la Nación, Buenos Aires, Argentina.
Luciana E IummatoDirección Nacional de Epidemiología e Información Estratégica, Ministerio de Salud de la Nación, Buenos Aires, Argentina.
Pilar Bárcena BarbeiraDirección Nacional de Epidemiología e Información Estratégica, Ministerio de Salud de la Nación, Buenos Aires, Argentina.
María Soledad SantiniConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
María Eugenia UtgésCentro Nacional de Diagnóstico e Investigación en Endemo-epidemias (CeNDIE), ANLIS "Dr. C.G. Malbrán", Ministerio de Salud de la Nación, Buenos Aires, Argentina.
Ministerio de Salud · ARConsejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In early 2020, Argentina experienced the worst dengue outbreak in its history, concomitant with first-to-date increasing COVID-19 cases. Dengue epidemics in temperate Argentina have already been described as spatially heterogeneous; in the previous 2016 outbreak, transmission occurred 7.3 times more frequently in slums compared to the rest of Buenos Aires City (CABA). These informal settlements have deficient sanitary conditions, precarious housing and high incidence of social vulnerabilities. The purpose of this work was to study the spatio-temporal patterns of the 2020 dengue epidemic in CABA in relation to socio-economic living conditions of its inhabitants and its interaction with the onset of COVID-19. The study considered the period between Jan 1st and May 30th 2020. Dengue and COVID-19 databases were obtained from the National Health Surveillance System; each record was anonymized and geo-localized. The city was divided according to census tracts and grouped in four socio-economic strata: slums, high, mid and low residential. An aligned-rank transform ANOVA was performed to test for differences in the incidence of dengue and COVID-19, and age at death due to COVID-19, among socio-economic strata, four age categories and their interaction. The incidence by cluster was calculated with a distance matrix up to 600 m from the centroid. Spatial joint dengue and COVID-19 risk was estimated by multiplying the nominal risk for each disease, defined from 1 (low) to 5 (high) according to their quantiles. During the study period, 7,175 dengue cases were registered in CABA (incidence rate 23.3 cases per 10,000 inh), 29.2% of which occurred in slums. During the same period, 8,809 cases of COVID-19 were registered (28.6 cases per 10,000 inh); over half (51.4%) occurred in slums, where the median age of cases (29 years old) was lower than in residential areas (42 years old). The mean age of the deceased was 58 years old in slums compared to 79 years old outside. The percentage of deaths in patients under 60 years old was 56% in slums compared to 8% in the rest of the city. The incidence of both diseases was higher in slums than in residential areas for most age categories. Spatial patterns were heterogeneous: dengue presented higher incidence values in the southern sector of the city and the west, and low values in highly urbanized quarters, whereas COVID-19 presented higher values in the east, south, high populated areas and slums. The lowest joint risk clusters were located mainly in high residential areas, whereas high joint risk was observed mainly in the south, some western clusters, the historical part of the city and center north. The social epidemiological perspective of dengue and COVID-19 differed, given that socio environmental heterogeneity influenced the burden of both viruses in a different manner. Despite the overwhelming effect of the COVID-19 pandemic, health care towards other diseases, especially in territories with pre-existing vulnerabilities, should not be unattended.

Indexed as

COVID-19DengueAdultEconomic StatusHumansMiddle AgedPandemicsSpatio-Temporal AnalysisSyndemicArbovirusCompulsory social isolationPandemiaPrecarious settlementSARS-CoV2SlumSocio-economic stratumSyndemicTemperate Argentina

Identifiers

PMID37753173
PMCPMC10519196
OpenAlexW4386967197

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.