Tap into our latest findings as we uncover them.
As we already know from past analyses, the average resting heart rate of an individual deviates from baseline levels following a COVID-19 infection. In this blog post, we further investigate how this systematic change in heart rate relates to the number of COVID-19 symptoms experienced.
Many factors determine whether a person actually engages in appropriate protective behavior. In a recent journal article, we use survey data from 29,355 data donation participants to examine which characteristics alter behavior in the private domain, and how social environments affect behavior in the workplace. Here we summarise the most important results for you.
Dear Donors, About a year ago, we were able to take stock of the first year of Datenspende. Today, around 470 million donated data points on heart rate, step count and sleep provide us with a unique insight into the development of vital signs under pandemic conditions.
The question of how many new COVID-19 cases per week continues to navigate our political and personal decisions. How we assess the risk of infection, the methods we use to protect ourselves, and how we handle the pandemic in the future all depend on the answer to this question.
Dear donors, For about half a year now, you have not only been able to donate your vitals and sleep data, but also to respond to various regular surveys about your personal experience and behaviour during the pandemic.
Introduction In this blog post, we will give you further insight into the socio-demographic characteristics and the health situation of the data donors in the sub-study “Tests, Symptoms and Living Situation” (hereafter referred to as “sub-study”).
Introduction In previous blogposts, we have already discussed the sociodemographics and spatial distribution of donors. In this blogpost, we will again look at the sociodemographic composition and spatial distribution of donors.
Note: Updated on April 11, 2022. See end of this text for details. Datenspende 2.0 is finally here. Since mid-October you can answer short questionnaires in the app to help us to substantially improve our understanding of the donated vital data in relation to COVID-19.
Dear Donors, For the past year, our fever monitor has compared two distinct signals: The detections of anomalous vital signs and weekly incidences of COVID-19. Both signals have unique advantages and disadvantages when it comes to monitoring current trends of the pandemic:
Around a quarter of you donates not only their daily heart rate and steps but also their sleep data, particularly how long and when you sleep. Since sleep provides a wealth of information on health and well-being, we are now taking a closer look at these data - enlisting also the expertise of sleep researchers.
Dear donors, since the middle of December, we have seen a significant decrease in the number of confirmed COVID-19 cases in Germany until the end of February. However, until now the Fever Monitor has continued to deviate from the case counts starting around the beginning of the new year.
What is the fever monitor? As of today, the Corona Data Donation Project features the Fever Monitor (see menu ‘Tools’ in the top navigation bar). The monitor depicts the time course of the fever detections that we obtain from the raw resting heart rate and step count data the donors provide.
In the last post Feverish we presented the first national “fever curve” based on and computed from the donors’ data. In this post, we not only want to give you an update on the national fever curve, but also want to show the results we obtained for the individual federal states in Germany.
Remember the goal of the Data Donation Project? When we conceived and launched the project about three months ago we thought that we could use the daily donations of resting heart rate and daily step count to detect the onset of fever in donors which in turn would help us quantify changes in the dynamics of the COVID-19 pandemic because fever is a symptom of the infection.
Many things have changed in the last few months; the number of active Covid-19 cases and local Corona-regulation, but also everyday things like the weather. Many of these things can influence the vital data of our donors; for example, lifted lockdowns, bank holidays and good weather may lead to more sport activity and could potentially lead to a high resting heart rate.
Demographics In previous blog posts, we examined the regional distribution of the donors and some properties of the data itself (steps, resting heart rate). This time we are reporting on the demographics of the donors, including age, gender, height and weight, which can be specified in the app.
This research project is an effort of the project group Computational Epidemiology lead by Prof. Dr. Dirk Brockmann. It is supported by the data protection team (lead by Claudia Enge) at the Robert Koch-Institute. The scientific analysis of the data is coordinated in collaboration with the Research on Complex Systems Group (ROCS) at the Institute for Theoretical Biology and IRI Life Sciences at the Humboldt University of Berlin. The technical infrastructure, particularly the technology used to collect and process the data, is provided by the e-health company Thryve.
At the beginning of April 2020, we launched the official Corona Data Donation App. Since then, over half a million people in Germany have decided to donate their data. For that, we would like to express our sincerest gratitude! There has never before been a research project of this magnitide involving the collaborative efforts of both citizens and scientists. It is really quite unique.
Some of you may be asking yourselves questions about the purpose of this project and the expected scientific results. What are we doing with your data donations and how will this help us better understand the current COVID-19 pandemic in Germany?
On this site, we would like to give you, the donor, a glimpse into the scientific process by sharing our findings as we uncover them. To achieve this transparency, we will regularly post updates detailing the methodological approaches and interim results of our analyses. We will do our best to clarify the motivation behind each stage in order to include everyone in this journey of scientific exploration as we work towards creating a Fever Map for Germany using vital signals collected by wearable health and fitness tracking devices and donated by you.
This goal of this map is to detect regions in which the number of residents exhibiting fever symptoms is higher than average. By updating the map on a daily and municipality-level basis, we aim to identify so-called “hot spots” of COVID-19 as they emerge. To learn more about how we intend to do this, please see our post How does it work?.