Does this tweet contain self-reported COVID19 symptoms?

Symptoms can be about the person tweeting or someone they are referring to directly. They should be current and not about past events. If you are unsure about your annotation, hit the “skip” button.”

@mention @mention Mes étudiants - des L3 - prenaient au contraire l'épidémie à la légère, j'en ai même eu une qui est venue de l'Oise avec un rhume et possiblement de la fièvre! et elle ne voulait pas comprendre qu'elle aurait dû rester chez elle.

March 13, 2020


Yes No skip

What is this about?

In this study, we aim to create a model of how tweets about self-reported COVID19 symptoms can help predict upcoming pandemic waves, and more generally the rise and fall of the disease. To that end, we crawled public tweets from the Paris region filtered by symptoms keywords, and plotted them in time (see the graph below).

However, this filtering is very crude, e.g people don't only tweet about symptoms when they are currently falling sick, but also about that one time a year ago when they fell sick, or when talking about the general news.

To filter out such false-positives we need your help! Which of these tweets are describing an acute symptom and which ones don't? Your contribution will make a direct impact!

If you want to learn more about the people behind this project you can visit our About page.

Latest annotations

Tweet Annotation date
@mention inventer une vie à sa plante il me semble c un des symptômes du coronavirus yes July 29, 2021, 3:19 p.m.
A côté du #coronavirus, la #Chine affronte un autre fléau viral, la #FPA pour fièvre porcine africaine qui a décimé le cheptel du pays. Une aubaine pour la filière française. Voyage sur les routes de la soie de #porc @mention [url] skip July 28, 2021, 2:21 a.m.
mal au torax, je tousse un peu mais je sens que "the worse is coming" - j'étais relax jusqu'à mnt mais je commence sérieusement à envisager de me faire tester skip July 28, 2021, 2:21 a.m.
J’ai de la fievre de fou wsh j’espère c’est pas le covid 🤲🏽 yes July 28, 2021, 2:21 a.m.
De plus en plus de mal à pédaler. Du mal à respirer et pas trop de force cause de ça... J'arrive au travail sur les rotules... J'en peux plus yes July 28, 2021, 2:21 a.m.

Do you want to run your own data analyses?

You can download all 8553 annotations (including a UUID referring to each annotator session) to create your own filtering or machine learning algorithm. Please visit our GitHub repository if you want to contribute!

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Visualization

Below we visualise the number of tweets containing COVID19 symptoms using 7 days averaging windows, both using our simple filtering system (orange), or the improved filtering using crowd-sourced annotation (blue). To build that curve, we only take into account tweets that have been labelled as "yes" at least 50% of the time ; we then show the daily rate of tweets labelled as "yes" multiplied by the daily number of tweets containing symptoms.

We show as a reference the number of passages to emergencies (see Analysis for more information).