Co-infección por los virus del dengue y chikungunya. Revisión narrativa

Vargas, Sandra; Céspedes, Diana Carolina; Vergel, Juan David; Ruiz, Erika Paola; Luna, María Camila

doi:10.4067/s0716-10182018000600658

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…Models to predict the dynamic of a vector disease based only environmental variables, has the challenge of the introduction and reintroduction of different dengue serotypes or genotype, during the study period, could also influence the increment of Dengue cases [7], as well as the introduction of other arboviruses like Zika in 2015 and Chikungunya in 2014, that are transmitted by same vector and cause a similar clinical disease [41,42] The results of this study shows that climatic variables could be important factors to predict Dengue incidence behavior, especially those whom affected the Aedes infestation index. It was observed that incidence of Dengue cases increased around of 7-8 weeks after raining season begins, similar to what Vargas et al [43], and Diaz et al [44], reported previously.…”

Section: Discussionsupporting

confidence: 89%

Assessing the Effect of Climate Variables on the Incidence of Dengue Cases in the Metropolitan Region of Panama City

Valencia

Díaz

Pascale

et al. 2021

IJERPH

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The present analysis uses the data of confirmed incidence of dengue cases in the metropolitan region of Panama from 1999 to 2017 and climatic variables (air temperature, precipitation, and relative humidity) during the same period to determine if there exists a correlation between these variables. In addition, we compare the predictive performance of two regression models (SARIMA, SARIMAX) and a recurrent neural network model (RNN-LSTM) on the dengue incidence series. For this data from 1999–2014 was used for training and the three subsequent years of incidence 2015–2017 were used for prediction. The results show a correlation coefficient between the climatic variables and the incidence of dengue were low but statistical significant. The RMSE and MAPE obtained for the SARIMAX and RNN-LSTM models were 25.76, 108.44 and 26.16, 59.68, which suggest that any of these models can be used to predict new outbreaks. Although, it can be said that there is a limited role of climatic variables in the outputs the models. The value of this work is that it helps understand the behaviour of cases in a tropical setting as is the Metropolitan Region of Panama City, and provides the basis needed for a much needed early alert system for the region.

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Section: Discussionsupporting

confidence: 89%

Assessing the Effect of Climate Variables on the Incidence of Dengue Cases in the Metropolitan Region of Panama City

Valencia

Díaz

Pascale

et al. 2021

IJERPH

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“…Because of the wide CHIKV circulation in areas where DENV has been steadily circulating and transmitting, cases of DENV-CHIKV coinfections have been frequently reported (Caron et al, 2012;Calvo et al, 2016;Vargas et al, 2018;Rückert et al, 2017;Mercado-Reyes et al, 2019), although there is no evidence of a higher severity in these DENV-CHIKV coinfection cases. The national surveillance study performed in Colombia during the 2016 Zika virus (ZIKV) epidemic found 34 cases of coinfection (0.14%), most of them with CHIKV-ZIKV coinfections, and only three DENV-CHIKV coinfections with two deaths (Mercado et al, 2018;Rueda et al, 2019); however, in 2018 and 2019, the Colombian Ministry of Health reported a decrease in CHIKV cases (800) in each year (24% confirmed by laboratory), and 1% of these cases originated from the province of Valle del Cauca (BES, 2018).…”

Section: Introductionmentioning

confidence: 99%

Dengue-chikungunya coinfection outbreak in children from Cali, Colombia in 2018–2019

Castellanos

Jaimes

Coronel-Ruiza

et al. 2021

International Journal of Infectious Diseases

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To identify the arbovirus involved in febrile cases identified in a pediatric clinic in Cali, Valle del Cauca province, Colombia, and study the clinical characteristics. Methods: A descriptive, prospective study enrolled 345 febrile children for 12 months in a pediatric clinic. Serum samples and medical record registers documenting signs and symptoms were analyzed to detect DENV, CHIKV, and ZIKV by reverse transcription-polymerase chain reaction and serology methods. Diagnosis at the time of admission and discharge were compared based on laboratory test results. Results: All patients were diagnosed as severe dengue at admission. Molecular detection and serology tests identified 143 CHIKV-positive (41.4%), 20 DENV-positive (5.8%), and 123 DENV-CHIKV coinfection patients (35.7%). DENV or CHIKV serology test results of these double-infected patients yielded poor performance to confirm patient cases. ZIKV infection was detected in 5 patients (1.4%) as double or triple infections. Conclusion:A sustained CHIKV circulation and transmission was confirmed causing febrile illness in children and indicating that this virus spreads even during the regular DENV season, leading to double infections and altering clinical symptoms. Specific clinical tests are necessary to closely identify the arbovirus involved in causing infectious diseases that can help in better treatment and mosquitotransmitted virus surveillance.

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Dengue: actualidades y estándares en el manejo clínico. Revisión de tema

Pérez-Gutiérrez

Amador-León

2021

Acta Colombiana de Cuidado Intensivo

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Co-infección por los virus del dengue y chikungunya. Revisión narrativa

Abstract: Los autores no registran conflicto de interés alguno en este artículo.

Cited by 6 publications

References 30 publications

Assessing the Effect of Climate Variables on the Incidence of Dengue Cases in the Metropolitan Region of Panama City

Assessing the Effect of Climate Variables on the Incidence of Dengue Cases in the Metropolitan Region of Panama City

Dengue-chikungunya coinfection outbreak in children from Cali, Colombia in 2018–2019

Dengue: actualidades y estándares en el manejo clínico. Revisión de tema

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