Dengue en los inicios de la pandemia de COVID-19 en la Argentina

Berberián, Griselda

doi:10.5546/aap.2021.131

Cited by 2 publications

References 7 publications

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Correlations between COVID-19 and dengue obtained via the study of South America, Africa and Southeast Asia during the 2020s

Bergero

Schaposnik

Wang³

2023

Sci Rep

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A dramatic increase in the number of outbreaks of dengue has recently been reported, and climate change is likely to extend the geographical spread of the disease. In this context, this paper shows how a neural network approach can incorporate dengue and COVID-19 data as well as external factors (such as social behaviour or climate variables), to develop predictive models that could improve our knowledge and provide useful tools for health policy makers. Through the use of neural networks with different social and natural parameters, in this paper we define a Correlation Model through which we show that the number of cases of COVID-19 and dengue have very similar trends. We then illustrate the relevance of our model by extending it to a Long short-term memory model (LSTM) that incorporates both diseases, and using this to estimate dengue infections via COVID-19 data in countries that lack sufficient dengue data.

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Correlations between COVID-19 and dengue obtained via the study of South America, Africa and Southeast Asia during the 2020s

Bergero

Schaposnik

Wang³

2023

Sci Rep

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Seropositivity to Dengue virus (DENV) in three neighborhoods in the periphery of a city with a recent history of outbreaks in Argentina: what can we learn from unreported cases?

Mendicino,

Ricardo,

Cristaldi

et al. 2024

Preprint

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BackgroundArgentina has experienced several dengue outbreaks since its reemergence in 1998, but cases are underreported due to asymptomatic infections and inadequate access to the healthcare system, particularly in marginalized neighborhoods.MethodsBetween December 2019 and March 2020, we assessed seroprevalence of DENV in three neighborhoods in the periphery of the city of Santa Fe. Serum samples were obtained from one adult per household and analyzed by ELISA for DENV IgG antibodies. Multivariate logistic regression models were used to analyze seropositivity by demographic, socio-economic and environmental variables.ResultsFrom 184 participants,overall seroprevalence was 15.2% (95% CI: 10.7; 21.1%). Proximity to a vacant lot decreased the likelihood of seropositivity by 65% (OR: 0.35; 95% CI: 0.15; 0.80). This aligns with studies suggesting vegetation cover can reduce vector abundance and that DENV transmission is higher in densely populated urban areas. Surprisingly, knowledge of disease symptoms and transmission was not linked to lower seropositivity, echoing findings from other studies.ConclusionsThese findings contribute to building consensus on the factors that increase DENV infection and will be valuable in designing public health interventions in vulnerable neighborhoods during dengue outbreaks.

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Dengue en los inicios de la pandemia de COVID-19 en la Argentina

Cited by 2 publications

References 7 publications

Correlations between COVID-19 and dengue obtained via the study of South America, Africa and Southeast Asia during the 2020s

Correlations between COVID-19 and dengue obtained via the study of South America, Africa and Southeast Asia during the 2020s

Seropositivity to Dengue virus (DENV) in three neighborhoods in the periphery of a city with a recent history of outbreaks in Argentina: what can we learn from unreported cases?

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