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Site de veille et d'information sur le nouveau coronavirus SARS-COV-2 et la maladie associée COVID-19

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Thanh HN, Van TN, Thu HNT, et al. Outbreak investigation for COVID-19 in northern Vietnam. Lancet Infect Dis 2020; published online March 4. https://doi.org/10.1016/S1473-3099(20)30159-6—In the appendix for this Correspondence, the sex of case 10 should be female. This correction has been made to the online appendix as of March 18, 2020....

Online search data is routinely used to monitor the prevalence of infectious diseases, such as influenza. Previous work has focused on supervised learning solutions, where ground truth data, in the form of historical syndromic surveillance reports, can be used to train machine learning models. However, no sufficient data $-$in terms of accuracy and time span$-$ exist to apply such approaches for monitoring the emerging COVID-19 infectious disea...

Online search data is routinely used to monitor the nationwide prevalence of infectious diseases, such as influenza. Previous work has focused on supervised learning solutions, where ground truth information, in the form of historical syndromic surveillance reports, can be used to train machine learning models. However, no sufficient data $-$in terms of validity, representativeness, and time span$-$ exist to apply such approaches for monitoring...

Online search data is routinely used to monitor the prevalence of infectious diseases, such as influenza. Previous work has focused on supervised learning solutions, where ground truth data, in the form of historical syndromic surveillance reports, can be used to train machine learning models. However, no sufficient data -- in terms of accuracy and time span -- exist to apply such approaches for monitoring the emerging COVID-19 infectious disea...

Online search data are routinely used to monitor the prevalence of infectious diseases, such as influenza. Previous work has focused on developing supervised models, where ground truth data, in the form of historical syndromic surveillance reports, can be used to train machine learning models. However, no sufficient data, in terms of accuracy and time span, exist to apply such approaches for monitoring the emerging COVID-19 infectious disease p...

Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour. In this work we use time series of online search query frequencies to gain insights about the prevalence of COVID-19 in multiple countries. We first develop unsupervised modelling techniques based on associated symptom categories identified by the United Kingdom's National Health Service and Public Health England. We t...

Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour. In this work we use time series of online search query frequencies to gain insights about the prevalence of COVID-19 in multiple countries. We first develop unsupervised modelling techniques based on associated symptom categories identified by the United Kingdom's National Health Service and Public Health England. We t...

An outbreak of respiratory disease caused by a novel coronavirus is ongoing from December 2019. As of July 22, 2020, it has caused an epidemic outbreak with more than 15 million confirmed infections and above 6 hundred thousand reported deaths worldwide. During this period of an epidemic when human-to-human transmission is established and reported cases of coronavirus disease 2019 (COVID-19) are rising worldwide, investigation of control strate...

An outbreak of respiratory disease caused by a novel coronavirus is ongoing from December 2019. As of June 30, 2020, it has caused an epidemic outbreak with more than 10 million confirmed infections and above 5 hundred thousand reported deaths worldwide. During this period of an epidemic when human-to-human transmission is established and reported cases of coronavirus disease 2019 (COVID-19) are rising worldwide, investigation of control strate...

With interest, we read the recommendation on the management of pregnant women with suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by Guillaume Favre and colleagues.1 Some of the recommendations made in the flowsheet of their Correspondence have long-term consequences (eg, termination of pregnancy, no breastfeeding) of an unforeseeable extent, are harmful when applied to the general population (eg, early cord clamping in ex...

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