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dc.contributor.author
Carbajo, Anibal Eduardo  
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Cardo, María Victoria  
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Pesce, Martina  
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Iummato, Luciana E.  
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Bárcena Barbeira, Pilar  
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Santini, Maria Soledad  
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Utgés, María Eugenia  
dc.date.available
2024-01-18T13:34:25Z  
dc.date.issued
2023-09  
dc.identifier.citation
Carbajo, Anibal Eduardo; Cardo, María Victoria; Pesce, Martina; Iummato, Luciana E.; Bárcena Barbeira, Pilar; et al.; Age and socio-economic status affect dengue and COVID-19 incidence: Spatio-temporal analysis of the 2020 syndemic in Buenos Aires City; PeerJ; PeerJ; 11; e14735; 9-2023; 1-23  
dc.identifier.uri
http://hdl.handle.net/11336/224092  
dc.description.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.  
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application/pdf  
dc.language.iso
eng  
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PeerJ  
dc.rights
info:eu-repo/semantics/openAccess  
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https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
DENGUE  
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COVID-19  
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EPIDEMIOLOGY  
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SINDEMY  
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Epidemiología  
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Ciencias de la Salud  
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CIENCIAS MÉDICAS Y DE LA SALUD  
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Salud Pública y Medioambiental  
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Ciencias de la Salud  
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CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Age and socio-economic status affect dengue and COVID-19 incidence: Spatio-temporal analysis of the 2020 syndemic in Buenos Aires City  
dc.type
info:eu-repo/semantics/article  
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info:ar-repo/semantics/artículo  
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info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-01-11T12:25:44Z  
dc.identifier.eissn
2167-8359  
dc.journal.volume
11  
dc.journal.number
e14735  
dc.journal.pagination
1-23  
dc.journal.pais
Estados Unidos  
dc.journal.ciudad
Corte Madera  
dc.description.fil
Fil: Carbajo, Anibal Eduardo. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; Argentina  
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Fil: Cardo, María Victoria. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación e Ingeniería Ambiental; Argentina  
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Fil: Pesce, Martina. Ministerio de Salud de la Nación; Argentina  
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Fil: Iummato, Luciana E.. Ministerio de Salud de la Nación; Argentina  
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Fil: Bárcena Barbeira, Pilar. Ministerio de Salud de la Nación; Argentina  
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Fil: Santini, Maria Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán". Instituto Nacional de Parasitología "Dr. Mario Fatala Chaben"; Argentina  
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Fil: Utgés, María Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Dirección Nacional de Institutos de Investigación. Administración Nacional de Laboratorios e Institutos de Salud. Centro Nacional de Diagnóstico e Investigaciones Endemo-epidémicas; Argentina  
dc.journal.title
PeerJ  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://peerj.com/articles/14735