The dashboard presents up-to-date information about coronavirus in the Netherlands. It uses data provided by the National Institute for Public Health and the Environment (RIVM), municipal health services (GGDs) and hospitals. The dashboard shows, for example, how many people have been tested for the virus, and how many tested positive.
Over the past several months, many people have become ill because of coronavirus and many people have died. Until there is an effective vaccine, the virus can easily flare up and again make large numbers of people ill. The dashboard shows if and where the virus is gaining ground. Using this information we can take control measures faster and in a more targeted way, such as introducing additional measures only in the regions with sharply increasing infection rates. Measures must always be based on a comprehensive political assessment of all relevant aspects, including broader social and economic interests.
This dashboard has been commissioned by the Ministry of Health, Welfare and Sport. New types of data will be added to it in the weeks ahead.
The data on the dashboard gives a good overall view of the situation regarding coronavirus in the Netherlands. Some of the figures are about the virus and new outbreaks. Other figures help administrators to better calculate the risk of new waves of infection.
The dashboard will remain under development as long as coronavirus is still with us, because we are always looking to see if we can add better data. Moreover, it takes time to set up the dashboard properly. So we’re expanding it step by step. We also want the information on this website to be easy to read on any device, and to be available in Dutch and in English.
An alert value is a kind of ‘alarm bell’, determined by the Ministry of VWS. These alarm bells can go off if a large number of people test positive, fall ill or are admitted to hospital at the same time. It’s been calculated that the healthcare sector would soon be unable to cope if daily hospital admissions for COVID-19 exceed 40 per day for an extended period of time.
Coronavirus doesn’t spread uniformly. Sometimes it flares up in one region, while in others the infection rate remains low. If we have an accurate picture of this, we can combat the virus quickly and in a targeted manner. That’s why the data on the dashboard is also broken down by municipality/region. This also helps mayors decide if local measures are necessary.
No, this is not an app. An anonymous contact tracing app is being developed so that people can find out if they might have been in close proximity to someone carrying coronavirus, and to advise them what to do. A home monitoring app will help the municipal health service (GGD) stay in touch with people with suspected or confirmed coronavirus infection.
Yes, the dashboard complies with privacy rules, so the data can’t be traced back to individuals. All the data is provided by the National Institute for Public Health and the Environment (RIVM), municipal health services (GGDs) and hospitals, and is accessible to everyone. The dashboard lists its data sources.
The dashboard shows how the situation per region is developing with regard to coronavirus. The data is used by municipal, regional and central government authorities to decide on the measures necessary to stop the spread of the virus.
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We calculate the increase in the number of confirmed cases (people who tested positive) by deducting the current day’s cumulative number of confirmed cases reported from the cumulative number reported the day before. Any corrections to historical data, such as double counting, are processed by the RIVM on the day the error was discovered. This means the number of new cases reported for that day is lower than the actual number, but this is offset by the numbers being too high on previous days. Because of such corrections, it is possible for the current day’s cumulative number to be lower than the number for the day before. This is then depicted as 0 (zero) on the dashboard, as a negative number is confusing. This is why discrepancies arise when regional data is aggregated into national data. If you would use the negative values of the safety regions to calculate the daily number of confirmed cases, you would find the correct values.