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1.
Preventive Medicine Reports ; : 101798, 2022.
Article in English | ScienceDirect | ID: covidwho-1796218

ABSTRACT

Symptoms-based models for predicting SARS-CoV-2 infection may improve clinical decision-making and be an alternative to resource allocation in under-resourced settings. In this study we aimed to test a model based on symptoms to predict a positive test result for SARS-CoV-2 infection during the COVID-19 pandemic using logistic regression and a machine-learning approach, in Bogotá, Colombia. Participants from the CoVIDA project were included. A logistic regression using the model chosen based on biological plausibility and the Akaike Information criterion. Also, we performed an analysis using machine learning with random forest, support vector machine, and extreme gradient boosting. The study included 58,577 participants with a positivity rate of 5.7%. The logistic regression showed that anosmia (aOR = 7.76, 95% CI [6.19, 9.73]), fever (aOR = 4.29, 95% CI [3.07, 6.02]), headache (aOR = 3.29, 95% CI [1.78, 6.07]), dry cough (aOR = 2.96, 95% CI [2.44, 3.58]), and fatigue (aOR = 1.93, 95% CI [1.57, 2.93]) were independently associated with SARS-CoV-2 infection. Our final model had an area under the curve of .73. The symptoms-based model correctly identified over 85% of participants. This model can be used to prioritize resource allocation related to COVID-19 diagnosis, to decide on early isolation, and contact-tracing strategies in individuals with a high probability of infection before receiving a confirmatory test result. This strategy has public health and clinical decision-making significance in low- and middle-income settings like Latin America.

2.
J Phys Act Health ; 18(12): 1469-1470, 2021 10 14.
Article in English | MEDLINE | ID: covidwho-1467651

ABSTRACT

Since 2020, the world has been navigating an epidemiologic transition with both infectious diseases (COVID-19) and noncommunicable diseases intertwined in complex and diverse ways. In fact, the pandemics of physical inactivity, noncommunicable diseases, and COVID-19 coincide in a tragically impactful ménage à trois with their detrimental long-term health consequences yet to be determined. We know that people in low- and middle-income countries not only have the highest risk of developing chronic diseases, they also develop the diseases at a younger age, they suffer longer, and they die earlier than people in high-income countries. This commentary features 5 compelling reasons for putting physical activity in low- and middle-income countries high up on the public health research agenda and calls for more commitment to inclusive and context-specific public health practices that are paired with locally relevant promotion and facilitation of PA practice, research, and policymaking.


Subject(s)
COVID-19 , Public Health , COVID-19/prevention & control , Developing Countries , Exercise , Humans , SARS-CoV-2
3.
J Phys Act Health ; 18(10): 1159-1160, 2021 08 19.
Article in English | MEDLINE | ID: covidwho-1365113
4.
Infectio ; 25(3): 182-188, jul.-set. 2021. tab, graf
Article in English | WHO COVID, LILACS (Americas) | ID: covidwho-1055381

ABSTRACT

Abstract The article presents a general overview on COVID-19 transmission in the context of public transport, particularly applicable to decision making in Latin America. Based on recent findings on COVID-19 transmission and the relative importance of each factor (droplets, fomites, and aerosol routes) in such transmission, we seek to update the discussion on the topic that has generally been based on social distance as the only parameter for reducing the risk of transmission and broadens the vision to integrate ventilation, users' behavior (mask and eye protection use, silence while in the transport system) and travel distance. Recommendations to improve mobility conditions reducing the risk of COVID-19 contagion are provided.


Resumen El artículo presenta una revisión de transmisión de COVID-19 en el contexto de transporte público, con aplicación particular para toma de decisiones en América Latina. Con base en los hallazgos recientes sobre transmisión de Covid-19 y la importancia relativa de cada factor (gotículas, fómites y rutas de aerosoles) en dicha transmisión, buscamos actualizar la discusión sobre el tema que generalmente se ha basado en la "distancia social" como parámetro único de reducción de riesgo de transmisión y amplía esta visión para integrar la ventilación, el comportamiento de usuarios (uso de mascarilla, protección ocular, silencio), y la distancia de viaje. Se indican al final recomendaciones para mejorar las condiciones de movilidad en general sin aumentar el riesgo de contagio de Covid-19.


Subject(s)
Humans , Male , Female , Transportation , Health Strategies , COVID-19 , Travel , Ventilation , Vision, Ocular , Urban Sanitation , Protection , Latin America
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