Individual and climate factors associated with acute respiratory infection in Colombian children

Cárdenas-Cárdenas, Luz Mery; Castañeda-Orjuela, Carlos; Chaparro-Narváez, Pablo; Hoz-Restrepo, Fernando De la

doi:10.1590/0102-311x00028216

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…A study conducted in Germany suggests that humidity and temperature are associated with hospitalizations due to lower respiratory tract infections by the Influenza virus, RSV, and RV [ 12 ]. Another study carried out in the Colombia, showed that the occurrence of acute respiratory infection in children was associated with air temperature and relative humidity [ 13 ]. A study conducted in China, in 2016, showed that RV was the main viral pathogen in wheezing children, especially in the summer [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Identification and seasonality of rhinovirus and respiratory syncytial virus in asthmatic children in tropical climate

Lopes¹,

Amorim²,

Melo

et al. 2020

Bioscience Reports

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Introduction: Asthma is a disease that has been associated with the presence of different genetic and socioenvironmental factors. Objective: To identify and evaluate the seasonality of respiratory syncytial virus (RSV) and human rhinovirus (RV) in asthmatic children and adolescents in tropical climate, as well as to assess the socio-economic and environmental factors involved. Methods: The study was conducted in a referral hospital, where a total of 151 children were recruited with a respiratory infection. The ISAAC protocol and a questionnaire were applied, and a skin prick test was performed. The nasal swab was collected to detect RV and RSV through molecular assay. INMET database was the source of climatic information. Results: The of socio-environmental characterization of asthmatic children showed that the family history of allergy, disturbed sleep at night, dry cough, allergic rhinitis, individuals sensitized to at least one mite. We identified RV in 75% of children with asthma and 66.7% of RSV in children with asthma. There was an association between the presence of RV and the dry season whereas the presence of the RSV was associated with the rainy season. Contributing to these results, a negative correlation was observed between the RSV and the wind speed and the maximum temperature and a positive correlation with precipitation. Conclusions: The results suggest a high prevalence of RV and RSV in asthmatic children and the seasonality of these viruses were present in different climatic periods. This has significant implications for understanding short- and long-term clinical complications in asthmatic patients.

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Section: Introductionmentioning

confidence: 99%

Identification and seasonality of rhinovirus and respiratory syncytial virus in asthmatic children in tropical climate

Lopes¹,

Amorim²,

Melo

et al. 2020

Bioscience Reports

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show abstract

“…En el presente estudio predominaron los lactantes masculinos (54.32%), similar a lo que se ha descrito en la literatura (1,3,6,22,23), pues el grupo etario mencionado tiene un alto riesgo de infección respiratoria baja debido a factores como una relativa inmadurez inmunológica, esquemas de vacunación aún incompletos y asistir a guarderías y jardines infantiles (24). Por otra parte, la presentación clínica usual de la infección fue de tipo obstructivo, siendo bronquiolitis y el síndrome sibilante recurrente los diagnósticos más frecuentes (37% cada uno), manifestaciones habitualmente atribuidas a infecciones virales (25).…”

Section: Discussionunclassified

Patógenos respiratorios en niños con infección respiratoria baja aguda detectados mediante PCR multiplex en tiempo real

et al. 2021

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Introducción. La infección respiratoria aguda en niños tiene una alta carga de enfermedad. La detección de múltiples microorganismos a través de pruebas moleculares en hisopados nasales podría cambiar el paradigma de patógeno único causal de enfermedad respiratoria en niños y ser de utilidad en la práctica clínica. Objetivo. Caracterizar los patógenos identificados mediante prueba de reacción en cadena de polimerasa multiplex en tiempo real (RT-PCR) en hisopado nasal, así como las variables clínicas y resultados de laboratorio en niños <5 años diagnosticados con infección respiratoria aguda baja (IRAB) y hospitalizados en Bogotá D.C., Colombia. Materiales y métodos. Estudio transversal realizado en 81 niños hospitalizados entre septiembre de 2019 y marzo de 2020 en la clínica Cafam y en quienes se hizo hisopado nasal para realizar la identificación microbiológica mediante la prueba RT-PCR múltiplex Allplex Allplex. Las correlaciones entre el número de patógenos y los niveles de células del hemograma y el nivel de proteína C reactiva se determinaron mediante el coeficiente de correlación de Spearman. Resultados. La edad promedio fue 17.23 meses (±14.44), 54.32% fueron varones y 51.85%, lactantes menores. Se identificaron 145 microorganismos (61.38% virales) en 63 niños (77.78%),. Hubo infección mixta en el 48.3% y coinfección en 11.2% de los niños. Respecto a los hallazgos clínicos, la dificultad respiratoria, la obstrucción de la vía respiratoria alta, la tos, la fiebre y la faringitis fueron más comunes en los casos de infección mixta (32.97%), coinfección (64.40%), infección mixta (29.78%) y ausencia de microorganismo (22.00%), respectivamente. Se observó una correlación negativa entre el número de leucocitos y neutrófilos y el número de microorganismos detectados en preescolares (r=-0.46; p=0.058 y r=-0.51; p=0.033) y una positiva entre el recuento de monocitos y el número de microorganismos detectados (r=0.53; p=0.0096). Conclusión. La prueba RT-PCR multiplex permitió la identificación de microorganismos en la mayoría de niños, así como de casos de infección mixta y coinfección en más de la mitad de la muestra. Además, los hallazgos clínicos fueron altamente heterogéneos entre los niños según el resultado de la prueba.

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Empowering child health: Harnessing machine learning to predict acute respiratory infections in Ethiopian under-fives using demographic and health survey insights

Kalayou,

Kassaw,

Shiferaw

2024

BMC Infect Dis

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Background A dearth of studies showed that infectious diseases cause the majority of deaths among under-five children. Worldwide, Acute Respiratory Infection (ARI) continues to be the second most frequent cause of illness and mortality among children under the age of five. The paramount disease burden in developing nations, including Ethiopia, is still ARI. Objective This study aims to determine the magnitude and predictors of ARI among under-five children in Ethiopia using used state of the art machine learning algorithms. Methods Data for this study were derived from the 2016 Ethiopian Demographic and Health Survey. To predict the determinants of acute respiratory infections, we performed several experiments on ten machine learning algorithms (random forests, decision trees, support vector machines, Naïve Bayes, and K-nearest neighbors, Lasso regression, GBoost, XGboost), including one classic logistic regression model and an ensemble of the best performing models. The prediction ability of each machine-learning model was assessed using receiver operating characteristic curves, precision-recall curves, and classification metrics. Results The total ARI prevalence rate among 9501 under-five children in Ethiopia was 7.2%, according to the findings of the study. The overall performance of the ensemble model of SVM, GBoost, and XGBoost showed an improved performance in classifying ARI cases with an accuracy of 86%, a sensitivity of 84.6%, and an AUC-ROC of 0.87. The highest performing predictive model (the ensemble model) showed that the child’s age, history of diarrhea, wealth index, type of toilet, mother’s educational level, number of living children, mother’s occupation, and type of fuel they used were an important predicting factor for acute respiratory infection among under-five children. Conclusion The intricate web of factors contributing to ARI among under-five children was identified using an advanced machine learning algorithm. The child’s age, history of diarrhea, wealth index, and type of toilet were among the top factors identified using the ensemble model that registered a performance of 86% accuracy. This study stands as a testament to the potential of advanced data-driven methodologies in unraveling the complexities of ARI in low-income settings.

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Individual and climate factors associated with acute respiratory infection in Colombian children

Cited by 4 publications

References 10 publications

Identification and seasonality of rhinovirus and respiratory syncytial virus in asthmatic children in tropical climate

Identification and seasonality of rhinovirus and respiratory syncytial virus in asthmatic children in tropical climate

Patógenos respiratorios en niños con infección respiratoria baja aguda detectados mediante PCR multiplex en tiempo real

Empowering child health: Harnessing machine learning to predict acute respiratory infections in Ethiopian under-fives using demographic and health survey insights

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